(Senior) Data Engineer – AI Booster Team (f|m|d)

At idealo, Generative AI (GenAI) is becoming a multiplier across every team. The AI Booster Team is our internal technical competence center: we pair with product teams, build reusable GenAI building blocks and share best practices company-wide.

As a Data Engineer in our AI Booster Team, you’ll be at the center of this transformation: designing data pipelines, integrations, and automations that power GenAI use cases at scale. You’ll combine classic data engineering skills with modern AI infrastructure, ensuring that product teams have instant, reliable access to “LLM-ready” data and the automation tools they need to move fast.

This position is available full-time or part-time.

About your new role

• Build robust pipelines: Ingest, transform, and unify data from APIs, databases, files, and streams into analytics- and LLM-ready formats.

• Engineer integrations: Develop connectors and orchestrations (Airflow, n8n, Step Functions) that move data securely and efficiently between warehouses, APIs, CMSs, and GenAI services.

• Operate modern data stores: Manage vector databases and feature stores to enable fast, reliable retrieval for RAG and ML use cases.

• Ensure reliability & cost-efficiency: Implement data quality checks, lineage tracking, monitoring, and FinOps practices.

• Enable self-service: Provide reusable workflows, templates, and automation components that empower product teams to build on top of your data infrastructure.

• Coach & collaborate: Share best practices, write playbooks, and guide teams in building scalable data-driven and GenAI-enabled workflows.

Skills & Requirements

• 3 + years in data science / analytics, including A/B testing or causal inference at scale.

• Expert SQL and Python (pandas, StatsModels / SciPy, scikit-learn); comfortable with notebooks and BI tools for storytelling.

• Hands-on with LLM assessment - prompt / temperature sweeps, embedding similarity metrics, human-in-the-loop studies, and LLM-as-a-judge tools (e.g. Bedrock model evaluation, OpenAI Evals).

• Familiar with Generative AI stacks (Hugging Face, LangChain/LlamaIndex, vector DBs like Pinecone/Qdrant) and retrieval-augmented generation concepts.

• Proficiency in AWS analytics & MLOps: SageMaker Experiments / Pipelines, Bedrock, Athena, Lambda, Step Functions; able to automate evaluation workflows and cost dashboards.

• Strong communication: can turn complex findings into clear, actionable insights and coach cross-functional teams.

• We’re keen to see evidence of exceptional achievement - perhaps you’ve scaled a personal project to thousands of users, published influential research, ranked highly in competitive arenas (e.g. sports, Kaggle, hackathons) or maintain widely-used open-source libraries. Tell us what makes you stand out!

You don’t tick every single box? No worries! We hire people, not checklists, and value motivation to grow.

Requirements

At idealo you can expect

• You need vacation? We offer you 30 days of vacation. Not enough? You can "buy" an additional 15 days every year by converting your salary and it's seen as a positive thing.

• You want to further your education? We take your personal development goals seriously and, in addition to our idealo Learning Hub, eLearning offerings (e.g., Udemy), coaching & mediation, we also offer you the opportunity to benefit individually from additional learning and development budget.

• And what about the office? Our office in the heart of Berlin offers excellent free lunch, as well as free coffee, lemonades and after-work beer, in addition to the "standard foosball". It also has a fabulous rooftop terrace with view of the whole of berlin where you can network with colleagues from our group of companies.

• You want full flexibility on your way to work and beyond? No problem with a job bike or Deutschlandticket - and it's environmentally friendly, too!

• You don't live in Germany yet? We support you in the visa process and with your relocation.

• Want to keep yourself fit? We offer many different fitness and sports options, such as an Urban Sports or Gympass membership, to suit your personal needs.

About idealo

idealo is a Berlin success story: in 2000 we started out with the mission of helping consumers make the best