Mid/Senior Data Engineer (Kraków/GCP)
Core
Design, develop, and maintain scalable data pipelines and processing solutions for financial services clients using cloud platforms.
Role type
Mid/Senior Data Engineer
Builds
Cloud-based data solutions and data processing workflows
Domain
Financial services / Banking / Payments / Capital Markets
Required skills
Python, Apache Spark, Hadoop, Linux, Google Cloud Platform (GCP), SQL, ETL/ELT processes, data quality monitoring, Git, Agile collaboration
Preferred skills
GCP services (BigQuery, Cloud Storage, Dataproc, Dataflow, Pub/Sub), Financial/Banking domain knowledge, Apache Airflow, CI/CD processes, data warehousing concepts, Docker, Kubernetes
Technologies
Python, Apache Spark, Hadoop, Linux, Google Cloud Platform (GCP), BigQuery, Cloud Storage, Dataproc, Dataflow, Pub/Sub, Apache Airflow, Docker, Kubernetes
Responsibilities
Design and maintain scalable data pipelines; Develop data transformation workflows; Work with large-scale datasets in distributed environments; Build cloud-based data solutions; Implement data ingestion processes; Troubleshoot and optimize data pipelines; Create and maintain technical documentation
Seniority
Mid-level, hands-on IC