Senior Data Engineer

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.