Senior Data Engineer

Senior Data Engineer Apply Project/Client: Banking Location: Baltic States (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! Department Data Engineering Locations Lithuania, Estonia, Latvia Remote status Fully Remote About Bonapolia For job seekers, BONAPOLIA offers a gateway to exciting career prospects and the chance to thrive in a fulfilling work environment. We believe that the right job can transform lives, and we are committed to making that happen for you.