Senior Data Engineer
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Job Description
Senior Data Engineer designing banking data pipelines across AWS, Oracle, Airflow, dbt, and SAP. Modernizing legacy systems through Data Mesh and Medallion architectures.
Responsibilities:
- Design, implement, and improve data ingestion, processing, storage, and sharing within a Data Mesh platform across AWS cloud and legacy DWH environments
- Build and optimize ETL/ELT pipelines and data architectures using Airflow, dbt, and SAP Data Services
- Support modernization and migration of legacy data systems toward cloud-native architecture
- Ensure high standards of data quality, security, and performance across data workflows
- Collaborate with analysts, engineers, and business stakeholders to deliver scalable data solutions
- Perform code reviews, implement monitoring and alerting, and resolve data pipeline defects
- Participate in the EOD ROTA rotation, with availability for incident resolution until 23:00–24:00
Requirements:
- Proven hands-on experience with SQL and Python
- Hands-on experience with cloud platforms: AWS, Azure, or GCP
- Good understanding of data pipeline tools such as Airflow or dbt
- Working knowledge of enterprise data platforms: Oracle DB, SAP IQ, SAP Data Services, and SAP Business Objects
- Knowledge of real-time, message-based, and event-driven solution integrations, including bridging legacy systems with modern data platforms
- Exposure to test automation and DevOps practices, including infrastructure as code, security best practices, CI/CD, and SDLC
- Experience with Data Products deliveries, Medallion architecture, and Data Mesh architecture
- Strong communication and collaboration skills
- English language requirement
- Baltic States or Poland citizenship requirement
Benefits:
- Remote work arrangement
- 12-month project duration
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