Senior Data Engineer
Warsaw, Masovian Voivodeship, Poland
PLN 250K-336K (estimate) Senior-level Full Time
Tasks
- Build cloud-native data platforms
- Define and enforce data lake and lakehouse standards
- Design real time event driven ingestion pipelines
- Develop self-service tooling and microservices
- Drive adoption of AI agentic workflows
- Ensure data quality, observability, and reliability
- Implement medallion architecture and data contracts
- Improve pipeline code quality and testing
- Refactor Spark and PySpark pipelines
- Set up CI CD for data pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Airflow | Apache Atlas | Apache Kafka | Apache Spark | Azure | Azure Data | Azure Data Factory | CI/CD | DBT | Data Factory | Data Modeling | Data Observability | Data Quality | Data Vault | Data Warehousing | Databricks | Dimensional Modeling | ELT | ETL | GCP | Infrastructure as Code | Kafka | LLM integration | PySpark | Python | RAG | SQL | Snowflake | Spark Structured Streaming | Structured Streaming | Terraform | Unity Catalog | “as-code”
Education
N/A
Roles
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