Senior Data Engineer with GCP
Hybrid · Kraków, Lesser Poland, Poland
Job Summary
Senior Data Engineer with GCP responsible for designing, building and optimizing scalable data solutions in a cloud environment, focusing on ETL pipelines and data models to support business needs. Role includes performance tuning, maintaining ETL pipelines, testing and documenting data flows, implementing tools and processes to support data projects, promoting development standards, designing cloud/on-prem data models, optimizing data views for visualization, refining requirements in Jira, onboarding new data sources, and collaborating with stakeholders. Requires 4-5 years of experience, strong Python/PySpark, GCP, SQL, ETL/ELT, Hadoop, and data warehousing concepts. Hybrid work arrangement in Kraków, Poland with a broader WFA option for remote work outside Poland up to 140 days/year. Benefits and training opportunities are provided.
Required Qualifications
- 4-5 years of commercial experience as a Data Engineer
- Strong Python and PySpark skills
- Experience with GCP Cloud toolset
- Strong SQL and query optimization
- Experience with ETL/ELT pipelines development, testing, and management
- Strong experience with Hadoop
- Understanding of Data Warehousing, Data Lakes and Data Lakehouses
- Nice to have Java/Scala
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