Analytics Engineer

This isn't a pure analytics or engineering role - it's both. You'll sit at the intersection of data and business, owning everything from building pipelines to influencing product decisions. Rough split: 40% Data Engineering / 60% Analytics

What you'll be doing

• Build & own the data platform
• Develop and optimise pipelines (Airflow, BigQuery, DBT)
• Design core data models powering analytics across the business
• Ensure data quality, scalability, and performance
• Bring in new data sources across product, marketing, and tech

Drive real business impact

• Analyse user behaviour, churn, and performance
• Turn complex questions into clear insights
• Influence product and commercial decisions with data
• Build scalable, data-driven workflows
• (Optional) Apply ML/statistical models to optimise performance

• 5-7 years in analytics, data engineering, or data science
• Strong SQL + Python
• Experience with BigQuery (or similar DWH)
• Exposure to Airflow / DBT / Git is a plus
• BI tools (Tableau or similar)
• Strong commercial mindset, not just queries, but impact
• Fluent German (essential)

• High ownership and autonomy
• Real impact on product & business decisions
• Flexible hybrid working
• 30 days holiday
• EGYM Wellpass + full benefits package
• Learning & development budget
• Fast-growing, tech-driven environment

With over 7 million users and a fully owned fibre infrastructure, this is a rare chance to work on data at real scale in a high-growth environment.