Vil du være med å få et av våre viktigste digitaliseringsprosjekter trygt i mål?

Stavanger kommune skal innføre nytt pasientjournalsystem for helse- og omsorgstjenestene, og vi søker deg som er strukturert, operativ og får ting til å skje.

Som prosjektstøtte blir du en nøkkelressurs som sikrer fremdrift og kvalitet i gjennomføringen, og vil jobbe tett sammen med prosjektledelsen i et tverrfaglig miljø.

Stillingen er midlertidig med varighet til mars 2027. Oppstart så snart som mulig.

Arbeidsoppgaver

I rollen som prosjektstøtte vil du blant annet:

• utarbeide og vedlikeholde prosjektdokumentasjon (planer, statusrapporter, beslutningsunderlag og øvrige styringsdokumenter)
• planlegge og koordinere møter, inkludert innkallinger og agenda
• skrive referater og følge opp beslutninger og aksjoner
• forberede saksdokumenter og beslutningsgrunnlag til prosjektstyret
• bidra til struktur, kvalitetssikring og arkivering av prosjektets dokumentasjon
• gi administrativ støtte til prosjektledelsen ved behov

Kvalifikasjoner

Vi ser etter deg som har:

• høyere utdanning på minimum bachelornivå fortrinnsvis innen administrasjon/ledelse, organisasjonsfag eller prosjektledelse
• erfaring fra administrativt arbeid er ønskelig, gjerne fra prosjekt eller større arbeidsprosesser
• god digital kompetanse og erfaring med Office-verktøy (særlig Teams, Outlook, Word og Excel)

Dersom du har annet morsmål enn norsk, må du dokumentere at du har språknivå tilsvarende B2. Gjelder ikke søkere med et skandinavisk språk som morsmål.

Personlige egenskaper

• Du arbeider strukturert og systematisk, og evner å holde oversikt
• Du er nøyaktig og kvalitetsbevisst, og sikrer høy kvalitet i arbeidet
• Du har god gjennomføringsevne og får ting i mål
• Du kommuniserer tydelig og presist, både skriftlig og muntlig
• Du har evne til å skape orden i komplekse situasjoner

Vi tilbyr

• En sentral rolle i et viktig digitaliseringsprosjekt for helse- og omsorgstjenestene
• Tett samarbeid med prosjektledelse og et tverrfaglig miljø
• Gode pensjons- og forsikringsordninger i KLP
• Fleksibel arbeidstid
• Hjem-Jobb-Hjem ordning
• Stillingskode: 753100 Saksbehandler med høgskoleutdanning

Kontaktinformasjon

Kristine Kårstad Skjøthaug, avdelingssjef E-helse og velferdsteknologi, +4799691779, kristine.skjothaug@stavanger.kommune.no

Arbeidssted

Arne Rettedals gt. 12
4005 Stavanger

Nøkkelinformasjon:

Arbeidsgiver: Stavanger kommune

Referansenr.: 5150528704
Stillingsprosent: 100%
Midlertidig
Søknadsfrist: 02.08.2026

Om arbeidsgiveren:

Stavanger kommune er, med sine 11 000 ansatte, en av regionens største arbeidsgivere.

Vi mener inkludering og mangfold er en styrke. Vi er opptatt av at arbeidsstyrken i størst mulig grad skal gjenspeile mangfoldet i samfunnet, og oppfordrer alle kvalifiserte til å søke, uansett alder, kjønn, funksjonsevne, seksuell orientering, religion eller etnisk bakgrunn. 

Vi jobber for heltidskultur med mål  om å ansette i hele stillinger.

Som ansatt i Stavanger kommune får du utgjøre en forskjell for kommunen og innbyggerne og blir en del av en spennende storbyregion. 

Vi bygger fellesskap ved å være nære, åpne og nyskapende

Offentlig søkerliste: 
Stavanger kommune praktiserer prinsippet om meroffentlighet. Offentlig søkerliste vil normalt inneholde navn på samtlige søkere. Det må foreligge tungtveiende grunner for å få innvilget unntak, jamfør Offentleglova §25.

Politiattest:
Gyldig politiattest må fremlegges før tiltredelse for stillinger der det er påkrevd iht. lovverk.

Vedlegg:
Attester, vitnemål og vedlegg må legges ved søknaden. Vi oppfordrer til å bruke Vitnemålsportalen. Utdanning utført utenfor Norge må være godkjent av Direktoratet for høyere utdanning og kompetanse (eller NOKUT), og godkjenningen må dokumenteres.

Wir sorgen mit unseren Services jeden Tag dafür, dass in der Produktion unserer Kunden auf der ganzen Welt alles rund läuft. Dabei denken wir in Lösungen und optimieren entlang des gesamten Prozesses – von der Planung bis zur Instandhaltung, Modernisierung und Digitalisierung. Als Servicespezialist in der Fertigungsindustrie wissen wir, dass Menschen den Unterschied machen. Respekt, Teamspirit und Vielseitigkeit zeichnen das Arbeiten bei Leadec aus. Auf unsere Arbeit sind wir stolz – über 22.500 unterschiedliche Persönlichkeiten an über 350 Standorten auf vier Kontinenten seit über 60 Jahren. Job ID:  2103 Ort:  Ingolstadt Funktion:  Elektroinstallation & Elektrotechnik; Mechatronik; Erfahrungsniveau:  Berufserfahren Recruiting Team Kontakt:  Jutta Schwan +49 1743359246 Meister Elektro / Projektleiter / Bauleiter (m/w/d) Ab sofort im Großraum** Ingolstadt **in Vollzeit Ihr Aufgabenbereich - Für Technik begeistern: Eigenverantwortliche Leitung von Baustellen im Bereich Elektroinstallation von Industrie - und Gewerbeanlagen - **Aufgaben anpacken: **Technisch einwandfreie, termingerechte und wirtschaftliche Abwicklung sowie Erstellung aller schriftlichen Projektunterlagen (Aufmaße, Bautagebuch, usw.) - **Gewissenhaft umsetzen: **Einhaltung der vertraglichen Verpflichtungen gegenüber unseren Kunden - Verantwortung übernehmen: Kundenberatungen und Betreuungen; Personaleinsatzplanung sowie Materialdisposition nach Terminplan und Menge - Kooperation leben: Kooperative Führung eines Mitarbeiterteams; regelmäßige Teilnahme an Bau- und Projektbesprechungen während der Abwicklungsphase Ihr Profil - Ausbildung: Elektroniker (m/w/d), Elektriker (m/w/d) mit mehrjähriger Berufserfahrung und Weiterbildung zum Elektromeister (m/w/d) - **Erfahrung: **In der Montage und Inbetriebnahme von Elektroleistungen sowie Leitung von Baustellen - Kenntnisse: Fundierte Fachkenntnisse in der eigenverantwortlichen Steuerung von Projekten im Bereich Industrieanlagen; MS-Office (Word, Excel und PowerPoint) - **Zusatzqualifikation: **Führerschein Klasse B (3) - Sprachen: Deutschkenntnisse erforderlich Ihre Benefits - **Sicherheit: **Die Sicherheit eines großen, global tätigen Unternehmens mit hohen Standards für die Arbeitssicherheit - Perspektiven: Strukturierte Einarbeitung in den neuen Aufgabenbereich, Aus- und Weiterbildungsmöglichkeiten z. B. über unseren Leadec Campus - **Vergütung: **Attraktive, der Qualifikation entsprechende Vergütung - Urlaub: 30 Tage Urlaubsanspruch - Benefits: „Me@Leadec“ macht Ihnen unsere Benefits zugänglich, z. B. betriebliche Altersvorsorge, zahlreiche Vergünstigungen für Mitarbeiter, darunter u.a. lokale Gesundheits- und Sportangebote sowie die Möglichkeit zum Leasing eines Dienstfahrrades (auch zur privaten Nutzung) - **Transparenz: **Einfacher Zugang zu Unternehmensinformationen und Neuigkeiten über unsere Mitarbeiter App "we.do" Ergänzende Informationen: Anforderungen an den Bewerber: Erweiterte Kenntnisse: Projektmanagement, Montage (Elektrotechnik), Inbetriebnahme, Bauleitung, Microsoft Office

Senckenberg – Leibniz Institution for Biodiversity and Earth System Research (SGN), headquartered in Frankfurt am Main, is seeking to fill the following position in the Research Group Digital Collectomics at the Senckenberg Institute for Plant Form and Function starting as soon as possible Postdoc (m/f/d) for AI-driven Method Development for Collection-based Research Location: Jena, Germany Employment scope: Full-time (40 hours/ week) / part-time options are available Type of contract: The contract shall start at the earliest possible date. The position is limited to 2 years Remuneration: Collective agreement of the German Länder, TV-L E 13 The Senckenberg Society for Nature Research is a member of the Leibniz Association and has been investigating the “Earth System” worldwide for more than 200 years, examining the past, analysing the present, and developing projections for the future. We conduct integrative geobiodiversity research with the aim of understanding nature in all its complexity and diversity in order to preserve it as the foundation of life for future generations and to ensure its sustainable use. Across eight institutes and five research stations throughout Germany, scientists from more than 40 countries conduct research at the highest international level. The Senckenberg Institute for Plant Form and Function at Friedrich Schiller University Jena is the eighth and most recently founded Senckenberg institute. Located in the vibrant university city of Jena in Thuringia and forming part of an international network, it brings together the renowned Herbarium Haussknecht with cutting-edge research on biodiversity change in the Anthropocene. The Junior Research Group Digital Collectomics deals with the development of automated methods revolving around the extraction of information from collections, with a strong focus on herbaria, as well as the digitization process and public display thereof. We leverage the latest developments in computer vision and AI research to create broadly applicable methods that can deal with small to no available training data. Therefore, our research focuses primarily on foundation models, few- and zero-shot methods and domain generalization. In interdisciplinary cooperation with the local Herbarium Haussknecht and other partners all over Senckenberg, we create cutting-edge approaches for publication in high-ranked computer vision, machine learning and interdisciplinary venues with the ambition to convert the novel methods into directly applicable tools usable in collection-based research at Senckenberg and beyond. The selected candidate will research novel methods in the areas of foundation models, few- and zero-shot methods and domain generalization in established team projects and novel projects in order to advance collection-based research. Your Tasks • Work in (team) projects by contributing, co-developing, executing, implementing and evaluating ideas for novel AI-driven image and data analysis approaches for collection data • Establishment of own projects, research questions and approaches for image and data analysis of collection data with focus on broadly applicable methods able to deal with little available data (e.g., zero-shot, few-shot or weakly supervised approaches and foundation models) • Publication and presentation of research results in high-ranked machine learning, computer vision and interdisciplinary venues • Curation and archiving of datasets • Keeping up with current developments in computer vision and machine learning research • Support of funding acquisition and establishment of the new group at Senckenberg, including participation in outreach events • Advising of colleagues and students, including supervision of bachelor’s and master’s theses Your Profile • A doctoral degree (or in the stage of its finalization) in Computer Science or a related subject with a focus on computer vision and/or deep learning, ideally with interdisciplinary experience, or a doctoral degree (or in the stage of its finalization) in Biology with strong computer vision and deep learning background (application or research) • Experience with: Current methods, tools, languages and frameworks in computer vision and deep learning (e.g., Linux, Bash, Python, Pytorch, Gradio, Numpy, Pandas, Huggingface, Ollama) - LLMs and foundation models in general • Good organizational abilities, reliability and efficiency • An open mind-set, curiosity and a strong motivation to excel in science • A collaborative attitude and good communication skills • Excellent written and oral communication and presentation skills in English Desirable Skills: • German language skills • Experience with computing on clusters • Experience with funding-acquisition We offer • An attractive, responsible and challenging position in a globally recognized research institution with motivated and professional colleagues • A vibrant, international team of scientists in Jena and all of Senckenberg with collection-based research programs, focusing on understanding the Anthropocene Biodiversity Change • Excellent infrastructure and collaboration opportunities at SIP embedded in a lively research environment in Senckenberg and the Friedrich Schiller University Jena • Opportunities to participate in teaching and outreach activities, e.g. at Friedrich Schiller University Jena • Flexible working hours – mobile working options – employee ID card with free admis-sion to the Senckenberg museums – annual special payment – collectively agreed vacation entitlement – company pension plan (ZVK) Senckenberg is committed to diversity. We benefit from the different expertise, perspectives and personalities of our staff and welcome every application from qualified candidates, irrespective of age, gender, ethnic or cultural origin, religion and ideology, sexual orientation and identity or disability. Applicants with a severe disability will be given special consideration in case of equal suitability. Senckenberg actively supports the compatibility of work and family and places great emphasis on an equal and inclusive work culture. How to apply? We look forward to receiving your application. Please upload your comprehensive documentation – consolidated into a single PDF file – via our online application portal by 02 August 2026: - A letter of motivation - A CV - Publication list and academic achievements - Copies of certificates and diplomas Apply now via: https://senckenberg.career.softgarden.de/ Please note that interviews are planned to take place from August 25th onwards. We will provide further details in due course. Join us in advancing ecological research through innovative technology! We look forward to your application! Senckenberg Gesellschaft für Naturforschung Senckenberganlage 25 60325 Frankfurt am Main For specific questions about this role, please contact Dr. Matthias Körschens at matthias.koerschens@senckenberg.de. For specific questions regarding the application process, please contact recruiting@senckenberg.de. For data protection information on the processing of personal data as part of the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ For further information about the Senckenberg Gesellschaft für Naturforschung please visit www.senckenberg.de.

Senckenberg – Leibniz Institution for Biodiversity and Earth System Research (SGN), headquartered in Frankfurt am Main, is seeking to fill the following position in the Research Group Digital Collectomics at the Senckenberg Institute for Plant Form and Function starting as soon as possible AI Engineer (m/f/d) for Method Development and Digitization for Collection-based Research Location: Jena (Thuringia; Germany) Employment scope: Full time (40 hours per week) / part time options are available Type of contract: The contract shall start at the earliest possible date and is limited to 2 years Remuneration: Collective agreement of the German Länder, TV-L E 11 The Senckenberg Society for Nature Research is a member of the Leibniz Association and has been investigating the “Earth System” worldwide for more than 200 years, examining the past, analysing the present, and developing projections for the future. We conduct integrative geobiodiversity research with the aim of understanding nature in all its complexity and diversity in order to preserve it as the foundation of life for future generations and to ensure its sustainable use. Across eight institutes and five research stations throughout Germany, scientists from more than 40 countries conduct research at the highest international level. The Senckenberg Institute for Plant Form and Function at Friedrich Schiller University Jena is the eighth and most recently founded Senckenberg institute. Located in the vibrant university city of Jena in Thuringia and forming part of an international network, it brings together the renowned Herbarium Haussknecht with cutting-edge research on biodiversity change in the Anthropocene. The Junior Research Group Digital Collectomics deals with the development of automated methods revolving around the extraction of information from collections, with a strong focus on herbaria, as well as the digitization process and public display thereof. We leverage the latest developments in computer vision and AI research to create broadly applicable methods that can deal with small to no available training data. Therefore, our research focuses primarily on foundation models, few- and zero-shot methods and domain generalization. In interdisciplinary cooperation with the local Herbarium Haussknecht and partners all over Senckenberg, we create cutting-edge approaches for publication in high-ranked computer vision, machine learning and interdisciplinary venues with the ambition to convert the novel methods into directly applicable tools usable in collection-based research at the Senckenberg and beyond. The selected candidate will employ, adapt and assess methods from the literature in the areas of foundation models, few- and zero-shot methods and domain generalization in established team projects and novel projects, integrate the developed methods into the Senckenberg infrastructure and make developed methods usable for end users. Your Tasks • Work in team projects • Independent analysis and solution of problems, utilizing existing methods and literature in computer vision and machine learning • Development and implementation of own and team member’s ideas and approaches for novel analysis methods of collection-based data • Systematic analysis, evaluation and comparison of implemented methods • Development of deployable ML-applications based on methods developed in the group for demo purposes and end-users • Co-development, extension and curation of joint codebases • Development of automated workflows for the digitization process and the integration of digitized data in established databases • Curation and archiving of collection-based image- and text-datasets • Communication with related Senckenberg groups for integrating our work in the Senckenberg environment • Support of the group in outreach events • Supporting administration and maintenance of the institute’s server infrastructure Your Profile • Bachelor’s or Master’s Degree in Computer Science or related disciplines • Experience with o The implementation of machine learning/deep learning, ideally computer vision approaches and pipelines o Large Language Models and APIs o Current technologies, languages and frameworks for the development and deployment of ML methods (e.g., Linux, Bash, Python, Numpy, Pandas, Pytorch, Gradio, HTML, CSS, Javascript) • Good written and oral skills in English & German • Good organizational abilities, reliability and efficiency • An open mind-set, curiosity and the desire to learn new technologies • A collaborative attitude and good communication skills Desirable skills • Experience with computing on clusters • Experience with databases and web security • Experience with server administration or administration tools • Experience with Docker, CI/CD What you can expect • an attractive, responsible and challenging position in a globally recognized research institution with motivated and professional colleagues • a vibrant, international team of scientists in Jena and at Senckenberg with collection-based research programs, focussing on understanding the Anthropocene Biodiversity Change • Excellent infrastructure and collaboration opportunities at SIP embedded in a lively research environment in Senckenberg and the Friedrich Schiller University Jena • flexible working hours – mobile working options – employee ID card with free admission to the Senckenberg museums – annual special payment – collectively agreed vacation entitlement – company pension plan (ZVK) Senckenberg is committed to diversity. We benefit from the different expertise, perspectives and personalities of our staff and welcome every application from qualified candidates, irrespective of age, gender, ethnic or cultural origin, religion and ideology, sexual orientation and identity or disability. Applicants with a severe disability will be given special consideration in case of equal suitability. Senckenberg actively supports the compatibility of work and family and places great emphasis on an equal and inclusive work culture. How to apply? We look forward to receiving your application. Please upload your comprehensive documentation – consolidated into a single PDF file – via our online application portal by 02 August 2026 • A letter of motivation highlighting your relevant project experience and your technical expertise, • your CV, • copies of your (academic) certificates and diplomas Apply now via: https://senckenberg.career.softgarden.de/ Please note that interviews are planned to take place from August 25th onwards. We will provide further details in due course. Join us in advancing ecological research through innovative technology! We look forward to your application! Senckenberg Gesellschaft für Naturforschung Senckenberganlage 25 60325 Frankfurt am Main For specific questions about this role, please contact Dr. Matthias Körschens at matthias.koerschens@senckenberg.de. For specific questions about the application and selection process, please contact recruiting@senckenberg.de For data protection information on the processing of personal data as part of the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/. For further information about the Senckenberg Gesellschaft für Naturforschung please visit www.senckenberg.de.

Company Description As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in around 65 countries worldwide powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero. Job Description We are on the lookout for a Senior Manager, Product Performance - (Logistics, Self Service Products) to join the Service Product team on our journey to always deliver amazing experiences. In our Logistics Team, you’ll tackle high-impact challenges that make last-mile delivery efficient, affordable, and sustainable. Your work will directly improve experiences for riders, end customers, and merchants across the globe. Each enhancement you contribute will help Delivery Hero optimize delivery operations, supporting expansion into new areas like grocery and retail. The Service product line is responsible for all customer support-related products across Delivery Hero’s global brands — including both our AI-powered support agents, our in-house human agent-facing tools for customer issue resolution, and our Self-Service engine applications. These platforms enable millions of interactions between customers, agents, riders and vendors every month, and play a critical role in our ability to scale high-quality support across regions. In this role, you will own the performance and operational effectiveness of our Self-Service products, working closely with central Product, Analytics and Data Science teams, as well as local entities across the Delivery Hero group — including foodpanda, foodora, PedidosYa, Talabat, Hungerstation and Woowa. Your mission is to maximize the value of our products — both in cost efficiency and customer experience. What you will drive - You shape the strategic direction for Product Performance across Self-Service by aligning business priorities, OKRs and performance KPIs with Service Central teams (Product, Engineering, Analytics and Data Science). - You develop a collaborative, high-performing team by bringing clarity in ambiguity, creating structure, and helping people focus on what matters most. You lead with empathy, develop talent through coaching and structured delegation, and foster a culture of constructive challenge. - You lead end-to-end execution of performance improvement initiatives, working with teams to identify product challenges and opportunities through data and deliver scalable solutions across markets. - You support analytical problem-solving, helping teams translate complex data into clear insights, benchmarks and recommendations for senior leadership and prioritization decisions. - You build alignment with senior stakeholders, fostering shared priorities, reducing redundancies and enabling effective collaboration across central teams and regions. - You ensure high-quality data access and storytelling, partnering with data teams to co-create dashboards and visualizations that support decision-making across the organization. - You represent Product Performance in senior forums, highlighting opportunities, risks and cross-functional interdependencies, and advising on organization-wide improvements. Qualifications Experience - 6+ years of total experience, with most of it in product performance, product operations, product analytics, strategy or growth roles in a B2C tech or marketplace environment. - Experience collaborating with Product, Engineering, Analytics and Data Science teams; ideally in self-service, customer support, automation or AI support agent products. Leadership - 3+ years of people management experience, including coaching and structured delegation to develop talent and scale impact. - Proven ability to build alignment with senior stakeholders, with clear, structured communication and ability to translate strategy into operational direction. Product & Analytics - Strong business acumen, linking product performance metrics to financial and operational outcomes. - Excellent analytical skills and data storytelling, turning complex insights into clear recommendations. - Good understanding of A/B testing principles and basic experimentation methods. - Good understanding of product development processes. Nice to have - Knowledge of SQL or data querying. - Experience in global, multi-market environments. Additional Information Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape. - Make the most of our hybrid working model (https://careers.deliveryhero.com/delivery-hero/2025-9/hybrid-work-at-delivery-hero) and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week - We offer 27 days holiday with an extra day on 2nd and 3rd year of service - We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses. - Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Gym & Bicycle Subsidy - Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan - The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses. - Wondering what relocating to Berlin is like? In this article, we’ve put together10 things you should know about moving to Berlin (https://careers.deliveryhero.com/delivery-hero/2025-10/blogmoving-to-berlin-guide?utm_source=jobdescription&utm_medium=bullet+text&utm_campaign=JD+Enhancements) and how Delivery Hero can support you. You can also visit our relocation hub (https://careers.deliveryhero.com/relocation-hub?utm_source=jobdescription&utm_medium=bullettext&utm_campaign=JD+Enhancements) and check out more information about moving to Berlin. - Ready to prepare for your interview? Check out the list of the 5 most common interview questions and answers (https://careers.deliveryhero.com/delivery-hero/2025-10/the-5-most-common-interview-questions-and-how-to-answer-them?utm_source=jobdescription&utm_medium=bullettext&utm_campaign=JD+Enhancements) created in collaboration with our recruiters. Ready to join our team? (https://careers.deliveryhero.com/howwehire) If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today! We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just let us know with an email to our Inclusion Officer at inclusion@deliveryhero.com. Severely disabled applicants with equal qualifications will be given preferential consideration. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

Weitere Berufsbezeichnung: Principal ML Engineer (Agentic AI) Stellenbeschreibung: Company Description As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in around 65 countries worldwide powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero. Job Description We are on a lookout for a hands-on Principal ML Engineer (Agentic AI) to join the Vendor Data Team on our journey to always deliver amazing experiences to go beyond prompt engineering into autonomous orchestration: designing agents that generate their own prompts, tools that empower AI with real-world actions, and judge models that validate outputs. Your work won’t sit in research notebooks — it’ll ship. As part of our Vendor Team, you’ll be the driving force behind the success of thousands of restaurants, shops, and local businesses. Your contributions will empower vendors with advanced tools to manage their operations, boosting their visibility and reach. Every feature you help build will create growth opportunities for businesses of all sizes, strengthening Delivery Hero’s ecosystem and impact. In the Vendor Data Team we build AI-native products that operate businesses. At our core is a 360° AI Account Manager for food delivery platforms—a system that moves beyond static ML pipelines to reason, act, and automate workflows.Our architecture integrates large-scale data pipelines, retrieval systems, and agentic components to drive real-world decisions. We believe a model is only as good as its environment; therefore, we prioritize data quality, system design, and infrastructure reliability. As an agentic-first team, we use tools like Claude Code to ensure AI actively participates in development, always grounded in robust engineering practices. Key Responsibilities: - Design and own end-to-end ML and data systems — from ingestion and transformation to model integration and production deployment - Architect and maintain scalable data pipelines for RAG, embeddings, and real-time/near-real-time data processing - Build and operate production-grade ML services and APIs, ensuring reliability, scalability, and performance - Define standards for infrastructure, deployment, and system reliability, including Infrastructure as Code, containerization, and orchestration - Integrate ML systems with external APIs, tools, and operational platforms, enabling real-world actions and automation - Lead the implementation of security best practices for AI systems, including secure prompt handling, data privacy protocols, and protection against adversarial attacks or model injection. Ensure all AI agents operate within strict authorization boundaries. Qualifications - Strong experience designing and scaling production-grade ML systems and data platforms, including large-scale deployments - Deep expertise in data engineering and ML pipelines, including feature/data pipelines, RAG systems, and embedding workflows - Proven experience building and maintaining reliable data infrastructure with strong guarantees around data quality and freshness - Strong engineering skills in Python and SQL, with experience in Docker, Kubernetes, and cloud environments - Experience with Infrastructure as Code (e.g., Terraform or similar) and building reproducible, scalable systems - Hands-on experience integrating ML systems with real-world APIs and services, and operating them in production with monitoring and observability Nice to have: - Experience with LLMs, agent architectures, or orchestration frameworks (LangGraph, AutoGen, CrewAI, etc.) - Familiarity with synthetic data generation, evaluation systems, or AI feedback loops - Experience with agent or ML observability tools such as Langfuse or LangSmith - Experience with model serving, routing, or inference optimization - Experience with open-source models (e.g., LLaMA, Mistral, Mixtral) or custom inference stacks - Knowledge of system reliability, failure handling, and safety patterns in AI systems Additional Information Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape. - Make the most of our hybrid working model (https://careers.deliveryhero.com/delivery-hero/2025-9/hybrid-work-at-delivery-hero) and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week - We offer 27 days holiday with an extra day on 2nd and 3rd year of service - We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses. - Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Gym. - Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan - The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses. - Wondering what relocating to Berlin is like? In this article, we’ve put together10 things you should know about moving to Berlin (https://careers.deliveryhero.com/delivery-hero/2025-10/blogmoving-to-berlin-guide?utm_source=jobdescription&utm_medium=bullet+text&utm_campaign=JD+Enhancements) and how Delivery Hero can support you. You can also visit our relocation hub (https://careers.deliveryhero.com/relocation-hub?utm_source=jobdescription&utm_medium=bullettext&utm_campaign=JD+Enhancements) and check out more information about moving to Berlin. - Ready to prepare for your interview? Check out the list of the 5 most common interview questions and answers (https://careers.deliveryhero.com/delivery-hero/2025-10/the-5-most-common-interview-questions-and-how-to-answer-them?utm_source=jobdescription&utm_medium=bullettext&utm_campaign=JD+Enhancements) created in collaboration with our recruiters. Ready to join our team? (https://careers.deliveryhero.com/howwehire) If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today! We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just let us know with an email to our Inclusion Officer at inclusion@deliveryhero.com. Severely disabled applicants with equal qualifications will be given preferential consideration. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

Company Description As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in around 65 countries worldwide powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero. Job Description We are on the lookout for a Product Manager to join the Dynamic Assortment tribe within the Quick Commerce team on our journey to always deliver amazing experiences. Be part of redefining how customers experience quick commerce. You’ll help build technology that scales our non-food offerings, reaching new market segments and driving revenue growth. By innovating within our Quick Commerce Team, you’ll make Delivery Hero the go-to platform for a broad range of products, helping us grow faster and deliver more value to customers around the world. The Dynamic Assortment team operates as a specialized data team within the QC Assortment domain. Our mission is to maximize customer lifetime value and drive profitable growth by transforming our static product catalog into an adaptive and dynamic one. We develop and refine sophisticated data models that intelligently curate and personalize the product assortment, enhancing the customer experience and optimizing business outcomes. Our work is a critical enabler of the Quick Commerce strategy to make every product "easy to list, effortless to discover, and inspiring to convert." We are seeking a strong Product Manager to own and deliver the data products that power our intelligent digital shelf. You will work closely with data science, engineering, and cross-domain stakeholders to translate our vision into a tangible product roadmap. You will be at the forefront of transforming our static catalog into an adaptive, personalized experience by leveraging unified demand intelligence, deploying advanced machine learning models, and embedding a culture of continuous experimentation and optimization. This role requires a blend of strategic thinking, technical depth, and a passion for data. You will be responsible for the entire lifecycle of our data products, from ideation and model development to experimentation and performance monitoring, directly influencing key growth metrics such as conversion rates, average order value, and customer retention. - Drive Product Vision & Roadmap: Translate the team's vision into a clear, actionable product roadmap. Define and prioritize features and initiatives based on business impact, customer value, and technical feasibility. - Lead Data Model Development: Partner with data scientists and engineers to develop, refine, and deploy machine learning models for intelligent product curation, personalization, and substitution. - **Own Experimentation & Optimization: Embed systematic experimentation and rapid iteration into the product development workflow. Design, run, and analyze A/B tests to validate hypotheses and drive measurable improvements in algorithm performance and business KPIs. - Deliver on Key Initiatives: Lead the execution of strategic projects, such as implementing experimentation with customer-facing Category Tree structure, driving the Category Recommendation engine, and developing models for automated merchandising and cross-listing. - Cross-Functional Stakeholder Alignment: Partner with stakeholders across Merchandising, Catalog, Data Analytics, Platforms Product, and commercial teams to align on strategies and ensure our data products meet business needs. Articulate complex data concepts to non-technical audiences to build consensus and drive decision-making across our global platforms. - **Own Metrics & Performance: Establish and monitor success metrics and KPIs related to model performance, customer satisfaction, and business impact. Use data-driven insights to guide product decisions and iteration. Qualifications - ** Product & Domain Expertise:** 3–5 years in product management with a strong focus on highly technical data products with a focus on data-centric products in e-commerce, marketplaces, or Q-Commerce. Experience with personalization or recommendation engines is a strong plus. You should demonstrate a proven ability to lead technical product initiatives from conception to launch. - ** Technical Acumen & Leadership:** Proven ability to build products that leverage large datasets, machine learning models, and rigorous experimentation (A/B testing). You should be comfortable driving technical conversations with data science and engineering teams about system architecture, model performance, and data pipelines. - ** Technical Fluency:** Strong understanding of machine learning concepts, data modeling, and experimentation frameworks. You should be able to discuss trade-offs in model implementations and guide the team toward scalable, effective solutions. - ** Analytical Excellence:** Skilled in SQL and data notebooks, with the ability to derive insights, define success metrics, and iterate rapidly in fast-paced, ambiguous settings. You can independently analyze data to identify issues and opportunities. - ** Influence & Communication:** A track record of leading cross-functional teams, aligning diverse stakeholders, and clearly communicating complex ideas across technical and non-technical audiences. - ** Customer-Centric Thinking:** Ability to translate customer needs and business opportunities into data-driven product features that enhance discovery, personalization, and mission fulfillment. ** Nice to Have** - Experience with large-scale personalization or recommendation systems. - Familiarity with the lifecycle of machine learning models. - Bachelor’s degree in Data Science, Computer Science, or a related technical field, or equivalent practical experience. - Experience with merchandising or retail analytics. - Proven ability to break down complex initiatives into actionable plans and drive execution to completion. - Track record of building consensus among diverse stakeholders and driving aligned decision-making. Additional Information Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape. - Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week - We offer 27 days holiday with an extra day on 2nd and 3rd year of service - We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses. - Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Gym & Bicycle Subsidy - Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan - The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses. ** Ready to join our team?** If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today! We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just let us know with an email to our Inclusion Officer at inclusion@deliveryhero.com. Severely disabled applicants with equal qualifications will be given preferential consideration. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

Apply Now Development Expert (m/f/d) - - Identity & Trust Services, SAP Cloud Infrastructure Date: 04/24/2026 Company: SAP We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What You'll do: - Build enterprise cloud infrastructure that provides European data sovereignty and hyperscaler-grade capabilities. You'll work on SAP Cloud Infrastructure, solving complex distributed systems challenges at scale: multi-region networking, container orchestration, storage systems, and the APIs that connect them. - You'll develop solutions using Go, OpenStack, and Kubernetes, tackling problems like: How do you auto-scale thousands of containers across regions? How do you build resilient storage systems? How do you design APIs that handle massive traffic spikes? - Your work will power SAP's production systems and thousands of customer environments. You'll contribute to infrastructure that enables organizations to run mission-critical applications with the performance and reliability they expect from leading cloud platforms. - In your role as Development Expert, you'll guide engineering teams building SAP Cloud Infrastructure through effective agile practices and delivery methodologies that enable rapid, reliable delivery of enterprise cloud services. You'll establish frameworks that help teams efficiently tackle complex distributed systems challenges while maintaining the quality and reliability standards expected by thousands of customer environments. - Your expertise will shape how cross-functional teams coordinate to build hyperscaler-grade capabilities, implementing agile practices that support innovation in multi-region networking, container orchestration at scale, and storage systems that handle massive traffic spikes. You'll facilitate collaboration across teams working with Go, OpenStack, and Kubernetes to ensure effective delivery of production systems that compete with leading cloud platforms. - Working within SAP Cloud Infrastructure, you'll design and implement agile processes that accelerate the development of enterprise cloud services that provide European data sovereignty. Your guidance will enable teams to deliver mission-critical systems that serve SAP's global customer base, directly contributing to how European organizations maintain control over their data while accessing world-class cloud capabilities. What You Bring: - Expert Programming:  Deep expertise in  Go, Python  or similar languages, with a strong focus on  distributed systems, security-sensitive services , and cloud-native architecture; experience with Rust is a plus but not required. - Cloud & Infrastructure Knowledge: Advanced knowledge of OpenStack, Kubernetes, Docker, AWS, Azure, GCP with experience in microservices and event-driven architecture, along with infrastructure automation concepts. - Identity & Authentication Knowledge:  Strong background in  identity and authentication systems  or the  foundations of Trust Services  in cloud environments. Practical experience with technologies such as  OIDC, OAuth 2.0, SAML ,  OpenStack Keystone ,  Keycloak , or comparable IAM components is highly valued. - Technical Curiosity:  Strong interest in  authentication flows, identity lifecycles, trust relationships, and security architecture , with the motivation to continuously deepen expertise in  IAM, cryptography, and cloud trust models . - Technical Leadership:  8+ years of software development experience with a proven track record of contributing to or leading architectural decisions across teams in complex, distributed environments. - Trust Services & Cryptography (Benefit):  Experience with  Trust Services  such as  PKI, certificate management, private CAs , or secure key handling is a strong plus. Familiarity with  PKCS#11 ,  HSM devices , or hardware-backed key management solutions is beneficial but not mandatory. - Scale & Performance:  Experience designing and operating systems that handle massive traffic, multi-region deployments, and highly available, resilient distributed architectures. - Security and Compliance:  Solid understanding of  security principles and compliance requirements , with experience incorporating regulatory, risk, and trust considerations into system and architectural design. - Cultural Adaptability:  Experience working across cultures and languages, combined with strong communication skills for collaboration within diverse, distributed teams. - Soft Skills:  Excellent presentation, communication, and problem-solving skills; a structured, accurate, and self-driven working style; high level of commitment and reliability; readiness to work in a constantly evolving environment; enthusiasm for collaborating in a multinational team. Meet your team: You'll join PlusOne Central Engineering, where innovation meets collaboration. Our culture values engineering excellence, continuous learning, and diverse perspectives. We emb modern practices, support career growth, and maintain work-life balance while building enterprise-scale solutions that drive digital transformation. ​ Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. For SAP employees: Only permanent roles are eligible for theSAP Employee Referral Program , according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to ourGuidelines for Ethical Usage of AI in the Recruiting Process . Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 440943  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid ​ Apply Now At SAP, we know success means different things to different people. Because we firmly believe that your success leads to ours, we instill an open and flexible culture, emb your personal passions, talents, and lifestyle while supporting your ambition throughout your career. We want people who think big and dream big. And most of all, we want people who are passionate about helping businesses – and the world – run better and improve people’s lives. Find us on

Apply Now Development Manager Optimization, Quantum & AI (m/f/d) Date: 05/18/2026 Company: SAP We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you’ll do: Enterprise software is shifting from passive process infrastructure to active decision infrastructure. SAP is pioneering autonomous enterprise decision systems that combine optimization science, quantum computing, and artificial intelligence to help organizations navigate complexity and execute under real-world constraints. The Development Manager Optimization, Quantum & AI will lead the transformation of an established data science team into a strategic contributor to SAP’s autonomous decision infrastructure. You will manage a team with ten years of experience in classical analytics and guide their evolution toward building decision-capable systems that evaluate, optimize, orchestrate, and execute under dynamic constraints. This role requires dual leadership: transforming team capabilities while leveraging deep domain expertise to accelerate impact. You will bridge classical data science with decision infrastructure—moving from descriptive analytics to prescriptive systems, from model building to architecture design, and from standalone insights to integrated execution platforms. As transformation progresses, the team’s scope will expand across SAP’s entire application portfolio, positioning them as the core engine of SAP’s Autonomous Enterprise with Quantum Brain. The Role: • Lead the technical transformation of an established data science team toward autonomous decision systems, building capability in optimization algorithms, constraint-based problem solving, and hybrid computational architectures. • Integrate your team into the broader Optimization, Quantum & AI organization as strategic contributors to decision infrastructure, fostering collaboration with optimization engineers, quantum researchers, and AI architects. • Develop team expertise in quantum computing concepts and identify opportunities where quantum-enhanced solutions create enterprise value. • Build understanding of orchestration systems, execution layers, and enterprise integration requirements—positioning the team within agent layers, optimization solvers, and operational platforms. • Maintain productivity during transformation, delivering measurable improvement in decision quality, planning speed, or operational performance while building new capabilities. • Assess individual readiness, create personalized development plans, and manage performance honestly—recognizing growth, supporting struggles, and making difficult decisions about team composition. • Collaborate with architects and product managers to translate business requirements from diverse domains—supply chain, finance, HR, procurement, customer operations—into decision architecture challenges, positioning the team to become the core engine for SAP’s Autonomous Enterprise with Quantum Brain across the entire application portfolio. What you bring: • Leadership experience in software development with proven track record leading teams through significant capability shifts or technology transitions (5+ years). • Well-honed people management skills with demonstrated success in upskilling teams, introducing new methodologies, and delivering results during organizational change. • Technical credibility in data science, optimization, or systems engineering sufficient to earn respect from practitioners and engage in architectural discussions. • Experience integrating teams into broader technical organizations and breaking down silos between specialized functions. • Understanding of how software systems operate in complex enterprise environments across multiple business domains. • Ability to work in a multi-domain environment, crossing technical, academic, research, and business boundaries—with vision to expand team scope across SAP’s entire application portfolio. • Excellent communication, negotiation, and presentation skills with ability to translate vision into concrete action. • Highly professional and structured working style with capacity to manage complex stakeholder networks. • Ability to thrive in dynamic environments that cross organizational boundaries while maintaining delivery accountability. • Degree in Computer Science, Mathematics, Physics, or related field; strong willingness to immerse oneself in optimization, quantum computing, and decision architecture is essential. Meet your team: You’ll join SAP’s Optimization, Quantum & AI organization—a team redefining what enterprise systems can do. We’re architecting decision-capable infrastructure where optimization science, quantum computing, and artificial intelligence converge into deployable systems. This team will become the core engine of SAP’s Autonomous Enterprise with Quantum Brain, expanding across the entire application portfolio. We operate with clarity about what matters: decision quality, system reliability, deployment credibility, and governance. If you want to lead teams through genuine transformation where constraints are real and strategic impact is organization-wide—this is your opportunity. ​ Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. For SAP employees: Only permanent roles are eligible for theSAP Employee Referral Program , according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to ourGuidelines for Ethical Usage of AI in the Recruiting Process . Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 453522  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Management  | Employment Type: Regular Full Time or Part-Time  | Additional Locations:  #LI-Hybrid ​ Apply Now At SAP, we know success means different things to different people. Because we firmly believe that your success leads to ours, we instill an open and flexible culture, emb your personal passions, talents, and lifestyle while supporting your ambition throughout your career. We want people who think big and dream big. And most of all, we want people who are passionate about helping businesses – and the world – run better and improve people’s lives. Find us on

Apply Now Platform Engineering Expert (m/f/d) Date: 06/24/2026 Company: SAP We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. PURPOSE AND OBJECTIVES Join an innovative, collaborative development environment and help shape secure data access and connectivity capabilities as part of SAP’s Big Data Fabric Services (BDFS). We are looking for a Platform Engineering Expert to help shape the next generation of SAP Datam Accelerator and related BDFS platform capabilities across architecture, engineering execution, and production readiness. We do not work as data scientists analyzing or extracting data directly. We build the platform capabilities that make this possible. THE PRODUCT SAP Data Accelerator focuses on secure partner connectivity and access to SAP business data across SAP ERP and LoB applications in on-premise, private cloud, and public cloud landscapes. This work sits within the broader BDFS portfolio, which enables SAP Lines of Business and customers to enter the world of big data more easily. BDFS delivers platform capabilities such as Apache Spark as a service, multi-language data processing on Kubernetes-based infrastructure, and access to hyperscaler-agnostic data sources using the Delta Sharing protocol on top of the HANA Data Lake File Service (HDLFS) As the product evolves through future phases, the scope expands from secure connectivity into broader API-driven and platform-managed data access capabilities. WHAT YOU’LL DO As a Platform Engineering Expert, you will contribute across design, coding, testing, operability, and quality assurance in a development team, while also helping shape architecture and technical direction You will assess and solve issues in new or existing code and work with high attention to detail, reliability, and efficiency. You will collaborate closely with your team members and stakeholders to ensure success In your day-to-day, your tasks will be: - Work on design, coding, and quality assurance tasks related to strategic product capabilities - Drive platform decisions that balance security, scalability, operability, and product evolution across current and future phases - Development activities in Java, Python, and Go, with Rust as a plus - Work in an agile team that uses the Scrum framework to self-organize and work towards development goals. - Mentor and guide the team to foster professional development and engineering excellence - Support the team on technical discussions, architecture topics, and platform direction - Help build PoCs, evaluate technical options, and drive important engineering decisions WHAT YOU BRING Required skills Core engineering and technical leadership - Bachelor’s degree in any of the following areas: Computer Science, Systems Analysis, - Information Technology, Mathematics, Physics, Engineering. - Advanced or fluent English. - Excellent programming skills and knowledge of algorithms, data structures, space, and run-time - complexity (Big-O notation). - Strong hands-on expertise in Java, Python, and/or Go in cloud-native and Kubernetes-based - environments. - Strong analytical and problem-solving skills. - Ability to troubleshoot complex software issues leveraging technical and product skills - Good communication skills - Willingness to continuously learn both new technologies and business processes Platform, security, and operability - Strong expertise in networking concepts relevant to distributed systems, secure partner connectivity, and cloud environments - Strong command of secure connectivity and platform engineering patterns, including OAuth 2.0, mTLS, multi-tenant service design, and proxy or tunnel-based architectures. - Strong background in production hardening, SRE practices, observability, and scalable multi-tenant service operation. - Experience with observability practices including metrics, tracing, health checks, alerting, and OpenTelemetry - Experience with scalability, autoscaling, capacity management, and performance tuning for distributed services - Experience with secure software engineering, threat modeling, and automated testing across unit, integration, end-to-end, and scale scenarios - Knowledge of AI-assisted and agentic engineering tools, and the ability to use them effectively across the software development lifecycle SAP and platform architecture - Strong expertise in SAP backend integration, including SAP ERP (ECC or S/4HANA), the NetWeaver stack, and related extensibility patterns. - Experience shaping technical direction for secure partner connectivity and SAP data access scenarios - Experience designing API-driven platform capabilities such as self-service enrollment, endpoint discovery, connection and session management, capacity management, or related control-plane workflows - Experience shaping control-plane and data-plane architectures for secure, scalable enterprise data access - Willingness to take ownership, drive new developments, and work creatively on challenging and groundbreaking tasks in accordance with the highest technical standards, plus a high level of commitment, team spirit, flexibility, and initiative Nice to have - Rust development experience - Hands-on ABAP development experience - Experience building SAP add-ons or backend extensions - Current hands-on experience using AI-assisted or agentic tools across the software development lifecycle LEARNING OPPORTUNITIES - By joining our team, you will help shape platform capabilities that evolve from current connectivity scenarios toward broader API-driven and storage-backed data access scenarios. - You will work on high-impact engineering topics spanning platform architecture, security, scale, observability, and operational excellence. - You will collaborate with strong engineers across BDFS and adjacent SAP platform areas. - You will influence how secure enterprise data access capabilities are built for hybrid SAP landscapes over the next project phases. MEET YOUR TEAM You will work with your team on SAP Data Accelerator within SAP HANA Cloud & Datalakehouse / Big Data Fabric Services. These products help our customers access data from anywhere. The Big Data Fabric Services team is responsible for: - Extend and complete the SAP Data Platform with big data technologies to support different SAP Lines of Business - Leverage Apache Spark and object store technology to provide scalable and cost-effective computing and storage services for big data ingestion, processing, and sharing - Integrate into SAP BTP and HANA Cloud & Data Lakehouse to offer a unified development and deployment experience for different SAP Lines of Business - Assure multi-tenancy and secure data processing - Build capabilities for secure partner connectivity and governed access to SAP business data In the BDFS team, we have an agile and collaborative culture where knowledge sharing is fostered. ​ Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants (...) Die Stellenbeschreibung kann nicht vollständig angezeigt werden. Bitte folgen Sie dem u.a. Link 'Weitere Informationen zum Stellenangebot im Internet'