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Role Overview:
We are looking for an experienced Senior Data Engineer to join a cross-functional Agile team within the banking domain. The role focuses on designing and improving end-to-end data solutions across AWS cloud and on-premises ( Oracle DB ) environments, working with Airflow , dbt , and SAP Data Services , and contributing to Data Mesh and Medallion architecture implementations.
Project/Client: Banking Location: Baltic States and Poland Citizen (remote) Start Date: ASAP Duration: 12 months Language: English Hourly rate: 30 - 32 EUR. B2B contract.
Key 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 all 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
Must-Have 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 solution integrations - real-time, message-based, and event-driven architectures - 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