Senior Data Engineer (Python, GCP, Airflow)
Hybrid · Kraków, Lesser Poland, Poland
Job Summary
Senior Data Engineer responsible for designing and maintaining scalable data pipelines and ETL processes on Google Cloud Platform. You will build and manage Airflow DAGs, develop data processing logic with Python and DBT/Spark, work with BigQuery and Cloud SQL, implement data models and architecture, ensure data quality and reliability, collaborate with stakeholders to translate requirements, maintain documentation, and support deployment/monitoring of pipelines in GCP. The role emphasizes building robust data platforms, collaborating across teams, and contributing to engineering best practices, with a hybrid work arrangement in Kraków.
Required Qualifications
- Experience as a Data Engineer or similar in data platform environments
- Strong proficiency in Python
- Hands-on experience with Google Cloud Platform including BigQuery and Cloud SQL
- Experience with Apache Airflow for workflow orchestration
- ETL and data integration pipelines experience
- Experience with Spark
- Knowledge of NoSQL and relational databases
- Strong understanding of data architecture and data quality
- Ability to translate requirements into data solutions
- Experience with DBT or similar frameworks
- Experience with data modeling and data warehousing concepts
- Ability to participate in code reviews and improve engineering practices
- Hybrid work capability (2 days a week in Kraków office)
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