Senior Data Engineer (banking)

Industry: BankingRate: up to 180 pln/h on b2b Location: Hybrid - 2 days per week from office in Gdynia, Gdańsk or Warsaw Summary: This role is for an Expert Data Engineer who will support a highly available application that delivers data to multiple downstream systems, focusing on optimizing data management processes and infrastructure. Main Responsibilities: • Design, build, and maintain scalable ELT pipelines. • Develop and optimize PLSQL queries and database objects for high performance data storage in Oracle. • Write Python-based data engineering scripts to process data. • Implement CI/CD pipelines for data infrastructure and workflow automation. • Manage database change and ensure compliance with governance. • Work with major cloud vendors and integrate modern data stacks. • Monitor, debug, and optimize data workflows and infrastructure performance. • Ensure data quality and governance practices are adhered to. Key Requirements: • Proficiency in designing OLAP systems with techniques like STAR schema or denormalization. • Expertise in Python and PLSQL. • Experience in ELT/ETL development using GUI-based tools (e.g., IBM Datastage, ADF, Stitch, Matillion). • Database management knowledge (Oracle, MSSQL, Snowflake). • Understanding of DevOps practices and CI/CD tools (Git, Docker, Kubernetes, Terraform, Jenkins, Bamboo, Azure DevOps). • Experience with test automation tools (e.g., Robot, Selenium). • Familiarity with version control techniques (Git, GitHub, GitLab). • Knowledge of workflow orchestration (Airflow, Prefect). • Understanding of streaming and batch processing (Kafka). Nice to Have: • Experience with cloud platform services. • Ability to work in a multi-disciplinary team. • Familiarity with data governance frameworks. • Previous experience in a banking or financial services setting.