Senior Data Engineer - Agentic AI at Delivery Hero

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

04 Feb, 26

Salary

0.0

Posted On

06 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Python, ML/AI Environments, LLM/RAG Frameworks, Vector Databases, Embedding Pipelines, Data Quality Monitoring, APIs Development, Data Services, Automated Evaluation, Simulation Agents, Validation, Observability, Governance, Collaboration, Production-Ready Intelligence

Industry

technology;Information and Internet

Description

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 over 70+ 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 Data Engineer – Agentic AI to join the Vendor Data team on our journey to always deliver amazing experiences. Our Vendor Data Team is building the data backbone powering intelligent, self-improving AI systems. As a Senior Data Engineer - Agentic AI, you’ll go beyond traditional ETL and pipelines into autonomous data orchestration. You will design the data interfaces that let AI reason, act, and improve: real-time data flows that fuel agent behavior, tools that enable AI-driven automation, and monitoring systems that ensure quality at scale. Your work won’t sit in dashboards — it will ship into core AI-native products. Our Agentic AI team is redefining what data engineering means in the age of LLMs — enabling systems that access, evaluate, transform, and learn from data on their own. We treat LLMs as collaborators, not endpoints. Here, data infrastructure becomes a living system: dynamic retrieval, data-aware decision-making, and continuous evolution powered by feedback loops. If you’re ready to build the data layer for AI that builds AI — this is your playground. Key Responsibilities Architect scalable data pipelines and retrieval systems enabling agentic reasoning and tool usage Build and operationalize RAG data flows — ingest, chunking, embeddings, indexing, and vector search optimization Develop APIs and data services that allow AI agents to interact with structured/unstructured vendor data in real time Monitor data quality, drift, and agent performance using automated evaluation and simulation agents Implement validation, observability, and governance to ensure safe, reliable AI behaviors Partner with AI and product engineering teams to deliver production-ready intelligence features Qualifications 2+ years building production data systems in applied ML/AI environments Strong Python engineering skills — experience with LLM/RAG frameworks (e.g., LangChain, LlamaIndex, Haystack) Hands-on experience with vector databases (Pinecone, Weaviate, FAISS) and embedding pipelines Clear ownership mindset — you unblock yourself, navigate ambiguity, and deliver outcomes Bias toward action: ship fast, iterate responsibly, measure impact Pragmatic engineering: working, observable systems > perfect architectures Nice to have: Familiarity with open-source model ecosystems (LLaMA, Mistral, Mixtral) or inference infra Experience with safety: prompt injection defense, output validation, agent guardrails Designed agent test harnesses or synthetic data systems for feedback loops Experience shipping AI-powered features in real-world data platforms, apps, or products Additional Information What’s in it for you 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 unrivalled. 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 include it in your application. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

Responsibilities

Architect scalable data pipelines and retrieval systems for AI systems. Develop APIs and data services for real-time interaction with vendor data.