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

9 Minutes ago • 3 Years +
Data Analysis

Job Description

As a Data Engineer in the AI Booster Team at idealo, you will design and implement data pipelines, integrations, and automations to power Generative AI use cases. This involves ingesting and transforming data into LLM-ready formats, developing connectors for secure data movement, and managing modern data stores like vector databases. You will ensure data reliability, cost-efficiency, and enable self-service for product teams, while also coaching them on scalable data-driven and GenAI-enabled workflows.
Must Have:
  • Build robust pipelines to ingest, transform, and unify data from APIs, databases, files, and streams into analytics- and LLM-ready formats.
  • Engineer integrations and orchestrations (Airflow, n8n, Step Functions) that move data securely and efficiently.
  • Operate modern data stores, including vector databases and feature stores for fast, reliable retrieval for RAG and ML use cases.
  • Implement data quality checks, lineage tracking, monitoring, and FinOps practices.
  • Provide reusable workflows, templates, and automation components that empower product teams.
  • Coach and guide teams in building scalable data-driven and GenAI-enabled workflows.
  • 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.
  • Hands-on experience with LLM assessment (prompt / temperature sweeps, embedding similarity metrics, human-in-the-loop studies, and LLM-as-a-judge tools).
  • Familiarity 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.
Perks:
  • 30 days of vacation, with an option to "buy" an additional 15 days every year.
  • Personal development goals supported with idealo Learning Hub, eLearning (Udemy), coaching & mediation, and additional learning budget.
  • Office in Berlin with free lunch, coffee, lemonades, after-work beer, and a rooftop terrace for networking.
  • Job bike or Deutschlandticket for flexible and environmentally friendly commuting.
  • Support with visa process and relocation for international applicants.
  • Various fitness and sports options, such as Urban Sports or Gympass membership.
  • Accessible office without steps for people with disabilities.

Add these skills to join the top 1% applicants for this job

cross-functional
budget-management
game-texts
storytelling
alphabeta-testing
aws
data-science
scikit-learn
pandas
python
sql

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.

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 purchasing decisions. Today, with ~2.5 million visits per day, ~50,000 shops, and more than ~500 million product offers, we are one of the most popular German e-commerce websites and one of the leading European shopping and comparison platforms. We are active as a price comparison platform in six countries (Austria, France, Germany, Great Britain, Italy, and Spain).

We are located in the heart of Berlin and offer a unique idealo spirit. Your ideas are the driving force that moves our business forward. Not only our product portfolio is diverse, but also the people who work on it. We want you just as you are! Origin, religion, gender, sexual orientation, or a degree of disability are irrelevant.

If you are passionate about improving the world of online shopping alongside ~700 idealos from ~60 nations, we are happy to receive your application!

Information for applicants with severe disabilities: As an applicant with a severe disability, you can get advice from our Representative Body for Severely Disabled People (SBV) during the application process. Please inform us regarding this topic.

For the inclusion of people with disabilities, our office is accessible without steps. When you start with us, we will see what else is needed!

Set alerts for more jobs like (Senior) Data Engineer – AI Booster Team (f|m|d)
Set alerts for new jobs by Axel springer
Set alerts for new Data Analysis jobs in Germany
Set alerts for new jobs in Germany
Set alerts for Data Analysis (Remote) jobs

Contact Us
hello@outscal.com
Made in INDIA 💛💙