Data Engineer/DBT Developer

Responsibilities:

• Building and developing efficient analytics pipelines bridging Data Engineering and Data Product
• Co-creating the end-to-end analytics strategy — from raw data to reports and dashboards
• Developing and maintaining dbt data models using software engineering best practices
• Defining key metrics and designing clear, effective data visualisations
• Optimising the data warehouse for performance, cost, and complexity
• Ensuring data consistency ("single source of truth") and supporting self-service analytics culture
• Monitoring costs and diagnosing potential performance issues

Requirements:

• Experience with DBT (cloud or local)
• Experience with cloud data warehouses: Snowflake (BigQuery/ClickHouse considered a plus)
• Very good knowledge of SQL
• Experience building robust, scalable data models (Kimball, OBT, Data Vault)
• Understanding of data warehouse principles and ETL/ELT processes
• Experience with data visualisation tools (e.g., Power BI, Tableau, Looker, QuickSight, Superset, ThoughtSpot)
• Ability to work with raw data and transform it into business insights
• English at minimum B2+ level
• Strong attention to detail and code quality

Nice to have:

• Python and command line experience
• Experience with ThoughtSpot
• Familiarity with GitHub Actions / CI/CD
• Degree in a quantitative or technical field
• Experience in Programmatic / AdTech

Offer:

• Private medical care
• Co-financing for the sports card
• Constant support of dedicated consultant
• Employee referral program