About the role
Responsibilities Develop the company's analytics infrastructure: data collection, ETL/ELT, orchestration, backfills and monitoring Connect and maintain key data sources: marketing platforms, billing systems, product events and internal databases Build and maintain the dbt layer and prepared datasets for product, marketing, finance and experimentation analytics Implement data quality practices: tests, validations, reconciliation, freshness and schema change control Document sources, models and business logic Requirements 5+ years in data analytics, BI or data engineering, including 1.5+ years as a Data Engineer Strong SQL and Python for large data volumes, ETL/ELT and API integrations Production experience with dbt and analytical modeling Experience with a cloud data warehouse Experience running scheduled data pipelines with Airflow, Prefect or cloud-native scheduling Understanding of CDC, replication, backfills and late-arriving data Practical data quality approach: tests, monitoring, alerts, source reconciliation Ownership mindset for stability, transparency and scalability Preferred Qualifications Experience with GCP: BigQuery, Cloud Run, Cloud Functions, Pub/Sub, Cloud Scheduler, GCS PostgreSQL DBA experience Benefits Remote-first format with optional offices in Warsaw and Kyiv Day off and sick leave, performance reviews, financial consultations for private entrepreneurs About the Company Zeely AI is an AI Marketing Intelligence Platform used by 2,000,000+ businesses, with a team of about 230.