Senior Analytics Engineer

Responsibilities: — Clarify requirements and implement changes to attribution logic, sources, and data marts — Lead migration of dbt models, Airflow DAGs, and sources to the core DWH platform — Build and optimise incremental BigQuery data marts, including recalculations and backfills — Implement data quality checks and investigate discrepancies — Analyse external inputs and ensure reliable data delivery — Participate in testing, validation, releases, and technical documentation Requirements: — At least 3 years of experience in Analytics Engineering, DWH Engineering, or Data Analysis — Expert SQL skills and good Python knowledge for ETL and data processing — Experience with DWH architecture, ODS, data marts, incremental loads, history handling, and deduplication — Experience with BigQuery or similar columnar databases — Experience with dbt for large incremental projects and Airflow or similar orchestration tools — Knowledge of pipeline migration, data parity validation, Git, Data Quality, and Data Governance — Ability to translate stakeholder needs into data requirements Nice to Have: — Experience with mobile or marketing attribution data, ad network cost data, SKAN/ATT, and ad fraud data — Familiarity with Google Cloud Platform, Cloud Storage, and Dataform — Experience with Lightdash, Looker, or Tableau Conditions: — Full-time employment — Remote work from EU, Serbia, Georgia, Armenia, Kazakhstan — Working time zone CET — Planned work duration: 6 months — Start ASAP