Job Description

Project/Client:Banking
Location:Baltic States (remote)
Start Date:ASAP
Language:English

We are looking for an experienced Data Engineerto join a cross-functional Agileteam operating at a Pan-Baltic, international scale within the bankingdomain. 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 Meshand Medallion architectureimplementations, and support the modernization of legacy DWHsystems. 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 Meshplatform across cloudand legacy DWHenvironments

• Build and optimize AWScloud and on-premises ( Oracle DB) data architectures for performance, scalability, and reliability

• Develop and maintain ETLELTpipelines using modern tools and frameworks to support regulatory, operational, and analytical needs across bankingareas

• Support and modernize legacy data systems, ensuring smooth migration toward cloudplatform 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 EODprocess — including a one-week ROTArotation with availability until 23:00–24:00 for incident troubleshooting and resolution

• Work as part of a cross-functional Agileteam in a Pan-Balticinternational environment

Must-Have Requirements:

• Proven experiencewith SQLand Python

• Hands-on experience with cloud platforms( AWS, Azure, or GCP)

• Good understanding of data pipeline tools such as Airflowor 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-drivenarchitectures — including bridging legacy systems with modern data platforms

• Exposure to test automationand DevOpspractices, including infrastructure as code, security best practices, CI/CD, and Software Development Lifecycle(SDLC)

• Experience with Data Productsdeliveries, Medallion architecture, and Data Mesharchitecture

• Fluent English(spoken and written) — required for Pan-Balticcross-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 citizenshipor 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 SQLand NoSQLdatabases

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