Top Data Engineer Jobs in Poland

Design, evolve, and operate an Elastic-based observability platform delivering logs, metrics, traces, dashboards, and alerting. Build telemetry pipelines, dashboards, instrumentation standards, and runbooks; support incident response, performance analysis, and onboarding across cloud, containerized, and distributed environments.

Lead and own the data ecosystem: architect, design and maintain scalable data pipelines (Azure Data Factory), build and optimize data models in SQL Server, develop Python/PySpark automation, implement Databricks/Spark workflows, resolve pipeline issues, improve data quality and resilience, and mentor junior engineers while aligning data solutions to business needs.

Lead design and implement CDC-based data architecture (Postgres -> Kafka -> Snowflake). Build streaming/near-real-time pipelines, data quality controls, data contracts, tenant separation, replay/reload mechanisms, and external delivery. Start hands-on and grow a small data engineering team; deliver a pragmatic 3/6/12-month roadmap.

As a Data Engineer, you will lead the development of scalable data pipelines, manage production datasets, and mentor engineers while collaborating with Data Science and Analytics teams.

The Data Engineer will construct data pipelines, manage ETL processes, optimize SQL queries, and ensure data integrity, utilizing various tools such as Airflow, Python, and SQL.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.