Senior Data Engineer

Join an International Banking Project as a Senior Data Engineer.

Project/Client: Banking

Location: Baltic States and Poland Citizen (remote)

Start Date: ASAP

Language: English

Role Overview: We are looking for an experienced Data Engineer to join a cross-functional Agile team operating at a Pan-Baltic , international scale within the banking domain. The role focuses on designing and improving end-to-end data solutions — from ingestion and processing to storage and sharing — across both cloud ( AWS ) and on-premises ( Oracle DB ) environments. The engineer will work with modern frameworks such as Airflow , dbt , and SAP Data Services , contribute to Data Mesh and Medallion architecture implementations, and support the modernization of legacy DWH systems. Strong ownership, attention to detail, and a proactive mindset are essential for success in this fast-moving environment.

Key Responsibilities:

• Design, implement, and continuously improve systems for data ingestion, processing, storage, and sharing within a Data Mesh platform across cloud and legacy DWH environments
• Build and optimize AWS cloud and on-premises (Oracle DB) data architectures for performance, scalability, and reliability
• Develop and maintain ETL/ELT pipelines using modern tools and frameworks to support regulatory, operational, and analytical needs across banking areas
• Support and modernize legacy data systems, ensuring smooth migration toward cloud platform architecture
• Uphold high standards of data quality, security, availability, and performance
• Collaborate with analysts, software engineers, and business stakeholders to understand data needs and deliver solutions
• Perform code reviews, troubleshoot software, and resolve defects
• Implement monitoring and alerting for data workflows
• Participate in the EOD process — including a one-week ROTA rotation with availability until 23:00–24:00 for incident troubleshooting and resolution
• Work as part of a cross-functional Agile team in a Pan-Baltic international environment

Must-Have Requirements:

• Proven 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 Software Development Lifecycle (SDLC)
• Experience with Data Products deliveries, Medallion architecture, and Data Mesh architecture
• Fluent English (spoken and written) — required for Pan-Baltic cross-team collaboration
• Proactive, detail-oriented, and capable of taking full ownership of solution delivery
• Ability to thrive in a fast-changing environment with evolving technologies and priorities
• EU citizenship or valid work permit

Nice to Have:

• Experience within the banking / customer business domain
• Experience with container orchestration tools: Kubernetes, Docker
• Understanding of streaming data pipelines and platforms: Kafka, Spark, Flink
• Experience with reporting tools such as Power BI
• Experience with both SQL and NoSQL databases
• Java development experience

📩 Ready to Join? We look forward to receiving your application and welcoming you to our team!