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Location: hybrid work model with minimum 2 days a week in the office (Warsaw)
Tasks Design, implement, and maintain data processing solutions in AWS and Azure environments Build and optimize ETL pipelines and data integration workflows Develop and maintain data pipelines using Azure Data Factory, Synapse, and Databricks Ensure data quality, security, and compliance standards across all solutions Collaborate with analysts, business stakeholders, and cross-functional teams to deliver reliable data solutions Support data architecture improvements and cloud migration projects
Requirements 4–6 years of experience in data engineering including ETL, integration, and modeling Strong knowledge of AWS or Azure services including Azure Databricks, Data Lake, Data Factory, Glue, Synapse, Snowflake, or AWS Redshift Pr...