Data Engineer Location: Warsaw or Prague office, remote Format: Full-time | On-site Mission To build and maintain a reliable, scalable, and efficient data infrastructure that enables continuous collection, transformation, and access to critical mobile subscription and payment data. Key Responsibilities * Design and maintain infrastructure for collecting and processing product metrics. * Develop data pipelines to consolidate data from multiple sources, including subscription tracking systems such as Apphud, Adapty, and RevenueCat. * Build robust and efficient Data Warehouse (DWH) and Data Marts to support user behavior and monetization analysis. * Collaborate closely with analysts and BI developers to provide high-quality, visualization-ready datasets. * Optimize and automate data processing workflows and performance. * Ensure system stability, scalability, and data quality across pipelines.
Key Skills & Requirements * Strong knowledge of SQL and Python * Hands-on experience with cloud platforms: GCP, AWS, or Azure * Experience with Apache Airflow, Google Cloud Composer, or Prefect * Proficient in version control systems such as Git * Skilled in setting up and preparing data for BI tools (e.g., Looker, Tableau, Power BI, Data Studio) * MUST HAVE: Experience integrating data from Apphud, Adapty, RevenueCat, or similar mobile analytics/monetization platforms * Familiarity with Kafka, Spark/PySpark, Docker, and Kubernetes * Understanding of product analytics fundamentals
Experience * 2+ years of commercial experience as a Data Engineer * Proven track record with mobile data integrations and analytics platforms
