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November 4, 2026
Data Engineer
Senior • On-site
36,610,080 - 46,589,920 PLN/yr
Warsaw, Poland
Quick Facts
Location: Warsaw (hybrid; in-office once per month)
Budget: up to 140 PLN/h + VAT (depending on experience and scope)
Description
You will work on a project migrating an Oracle database environment to Google Cloud Platform and developing end-to-end Data Engineering solutions on GCP. The role includes designing and implementing batch and streaming pipelines, rebuilding data processing flows from on-premise to cloud, and ensuring data quality with error handling and retries. You will also analyze and migrate existing Informatica PowerCenter ETL processes and implement transformations and validations using SQL and Python.
Responsibilities
Migrate Oracle database environment to GCP using BigQuery, Pub/Sub, and Cloud Storage
Design, implement, and develop Data Engineering solutions on GCP (BigQuery, Cloud Storage, Pub/Sub)
Migrate and rework data processing and ingestion processes from on-premise to Google Cloud
Build batch and streaming processes with data quality controls, error handling, and retry mechanisms
Model data and optimize SQL structures and queries for performance, scalability, and processing cost
Analyze and migrate Informatica PowerCenter–based ETL to the target GCP architecture
Implement transformation and data validation logic with SQL and Python
Support technical analysis, testing, deployments, and technical documentation
Requirements
Minimum 2 years of commercial experience in Data Engineering, data integration, or data processing
Practical experience with Google Cloud Platform: BigQuery, Cloud Storage, Pub/Sub
Experience designing and implementing data migration processes to cloud environments
Practical knowledge of Oracle databases and SQL query creation/optimization
Experience with large datasets and query performance analysis
Knowledge of data modeling and logical/physical data model design
Practical experience with Informatica PowerCenter for ETL analysis/modification
Python skills for implementing data processing logic
Experience with code repositories and CI/CD
Ability to prepare unit/integration tests and technical documentation
Benefits
Opportunity to work across diverse Software, Embedded, Data, and Cloud Services projects
Involvement in additional pre-sales and expert initiatives
Medical care, sports card, and access to a cafeteria platform according to cooperation rules
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