[Hiring] Data Engineer @Mercury Media Technology & Co.KG

Role Description

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, TikTok, Google Ads/DV360, Amazon DSP, The Trade Desk, Adform, Pinterest and LinkedIn — 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.

Qualifications

• Solid experience building and running data pipelines in production, from third-party APIs to curated, reportable data.
• Very good knowledge of Python, especially for integrations against third-party HTTP APIs (pagination, rate limits, auth and token refresh, error semantics).
• 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).
• Good knowledge of a relational database such as PostgreSQL.
• 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.
• Clear communication skills, especially in writing.
• Caring about data quality, tests, and architecture, and comfortable saying no to a change that works but doesn't fit.
• Enjoy talking to users and turning a vague "the numbers look wrong" into a concrete, written finding.
• 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 ClickHouse, Airbyte, or Cube.js is a plus, as is Kubernetes/Terraform exposure, Elixir or Ruby, or experience in media or advertising.

Requirements

• Work permission and residence in Germany or willingness to relocate to Germany.
• We encourage applications even if you don't tick every box. 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.

Benefits

• Small and international teams where you can actually make a difference.
• The opportunity to offer modern and leading solutions in an exciting industry.
• A modern workplace in the center of Hamburg.
• Flexible working hours with remote work up to 100%.
• A laptop running Linux or Mac.
• Company-paid access to leading AI coding agents.
• A subsidized ticket for public transportation (Deutschlandticket).
• Subsidized gym membership (Hansefit).
• Job bike leasing.
• Company pension scheme.
• Space and time for personal growth and learning new things.
• Flexibility for families, accommodating various lifestyles.
• Regular appraisal, feedback, and development talks with opportunities for growth such as attending conferences and training.
• Diversity as a key factor of success, with a team that includes multiple nationalities and languages.
• Commitment to making working at MMT attractive to all genders.