Data Engineer responsible for developing ETL/ELT pipelines for Whow Games. Work includes optimizing data models and managing databases for analysis.
Responsibilities
Develop ETL/ELT pipelines in Python and SQL to process, among other things, hundreds of millions of tracking events daily for our analytics tools
Design and implement a modern data stack as part of continuous reevaluations focused on the efficiency, performance, and usability of the currently used solutions
Design and optimize data modeling and data governance to ensure a clear and consistent data, analytics, and reporting environment
Monitor and administer tools and databases in the existing data stack (including DWS — equivalent to Postgres — and dbt)
Requirements
Proven professional experience in data engineering
Experience in data analytics — experience with DWS / Redshift is a plus
Strong knowledge of ETL/ELT, SQL, and NoSQL, and experience implementing ETL jobs
Experience building scalable cloud solutions (e.g., AWS or HWC)
Knowledge of administering data visualization tools such as Tableau is advantageous
Strong analytical mindset, team-oriented working style, and excellent communication skills
Benefits
Flexible working hours and the option to work remotely (office presence expected 2 days per week)
Regular company events
Fruit, drinks, and meal allowances
Subsidy for the Deutschlandticket (German public transport pass)
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