Project/Client: Banking

Location: Baltic States and Poland Citizen (remote)

Start Date: ASAP

Duration: 12 months

Language: English

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.

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
• Strong communication and collaboration skills