Data Engineer – AI-Driven Data Platform; m​/f​/d

• You will co-own the Data area of our media-planning platform together with a small team of engineers and client relations — end to end, from the APIs of the advertising platforms to the analytics layer that powers media plans, dashboards and billing-grade reports
• AI agents write most of our code. You decide what gets built and how it fits together, turning customer needs and business outcomes into clear direction
• You will look after our data connectors to platforms such as Meta, Tik Tok, Google Ads/DV360, Amazon DSP, The Trade Desk, Adform, Pinterest and Linked In — and keep client data flowing when providers deprecate endpoints, rename fields, or silently change limits
• You will model and normalize data with dbt and SQL, and treat data quality as a feature: deduplication, freshness checks, and reconciling our numbers against what the platforms themselves report
• You will keep nightly client pipelines reliable and drive incidents to root cause — distinguishing provider outages, client-side setup issues, and real defects, and writing the findings down
• You will extend our multi-tenant semantic layer with new metrics and row-level security, and help build out our lakehouse platform
• You will work closely with users, client relations, and the other teams
• You will help shape how we work with AI. Our process changes as the tools improve, and we expect it to keep changing
• This role can be done remote within Germany or from our modern office in Hamburg

• You have solid experience building and running data pipelines in production, from third-party APIs to curated, reportable data. You need to know what good data looks like to spot a silent problem in a pipeline you didn't build yourself
• You have very good knowledge of Python, especially for integrations against third-party HTTP APIs (pagination, rate limits, auth and token refresh, error semantics)
• You have very good knowledge of SQL and solid experience with dbt (incremental models, tests, and an instinct for pitfalls like duplicates, late-arriving data, and identifier mismatches)
• You have good knowledge of a relational database such as PostgreSQL
• You have hands‑on experience with AI coding agents such as Claude Code, Codex, or Cursor, and a realistic sense of where they do well and where they go wrong
• You communicate clearly, especially in writing
• You care about data quality, tests, and architecture, and you're comfortable saying no to a change that works but doesn't fit
• You enjoy talking to users and turning a vague "the numbers look wrong" into a concrete, written finding
• You are fluent in English and/or German. Our company language is English, so German is not required
• Knowledge of Snowflake, Trino, Iceberg, columnar data storage like
  
  Click
  
  House, Airbyte, or Cube.js is a plus, as is Kubernetes/Terraform exposure, Elixir or Ruby, or experience in media or advertising
• Work permission and residence in Germany or willingness to relocate to Germany

You don't tick every box? Apply anyway. We'd rather meet an ambitious, sharp mind who has never worked with Trino or Iceberg than someone who ticks every box but doesn't fit our team.

Our platform is split into areas such as Media Planning, Reporting Center, Data, API and Media Mix Modelling. Each area is owned by a small, stable team of people who know it deeply, even though they don't type most of the code themselves.

• People set direction, agents implement. The hard part is no longer typing code. It's knowing what to build and keeping the platform coherent. That's where you spend your time.
• Leadership sets direction, teams set the order. Leadership describes outcomes: what success looks like, not how to get there. Your team decides what to work on and in which order.
• Few…