Senior Data Engineer (Banking Data Solutions)

Are you ready to shape the future of banking?

Join our Baltic, cross-functional team as an experienced Data Engineer and play a key role in modernizing our client’s Core Data Solutions. You’ll design, build, and optimize data architectures and pipelines that power regulatory, operational, and analytical processes, driving innovation and excellence in a dynamic environment.

Feel free to work remotely from anywhere across Latvia or connect with colleagues at our Riga office.

Responsibilities

• Design, implement, and continuously improve systems for data ingestion, processing, storage, and sharing
• Develop and maintain robust ETL/ELT pipelines to support regulatory, operational, and analytical needs
• Build and optimize scalable, reliable, and high-performing data architectures
• Modernize and integrate legacy data systems into a unified, secure banking data platform
• Ensure high standards of data quality, availability, security, and performance
• Collaborate with analysts, business stakeholders, and software engineers to deliver impactful data-driven solutions
• Perform code reviews, troubleshoot issues, and resolve defects in data workflows
• Implement monitoring, logging, and alerting for critical data processes

Requirements

• 3+ years of experience as a professional Data Engineer
• Proven expertise in SQL and Python; knowledge of Java is a plus
• Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP)
• Proficiency in containerization and orchestration (Docker, Kubernetes)
• Strong knowledge of streaming data pipelines and platforms (Kafka, Spark, Flink)
• Familiarity with data workflow tools (Apache Airflow, dbt)
• Skills in modern data warehouses (Snowflake, BigQuery, Redshift)
• Understanding of integration patterns (real-time, event-driven, message-based), bridging legacy systems with modern environments
• Experience with both SQL and NoSQL databases
• Exposure to test automation and DevOps practices, including infrastructure as code and security best practices
• Strong communication skills with fluent English (spoken and written), enabling seamless collaboration across Baltic teams

Nice to have

• Experience in the banking or financial services domain
• Working knowledge of enterprise data platforms (Oracle DB, SAP IQ, SAP Data Services, SAP Business Objects) and reporting tools (Power BI)

We offer

• Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years.
• Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies.
• World-Class Clients: Work closely with 295+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact.
• Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices.
• GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys.
• Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life.
• Hybrid Setup: The flexibility to work from any location in Latvia, whether it's your home or our office in Riga.
• Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more.

About EPAM

EPAM is a leading global provider of digital platform engineering and development services. For over 30 years, our team has helped leading brands navigate the waves of digital transformation, building solutions that help them stay competitive through constant market disruption.With offices in 55+ countries, EPAM has grown in Latvia to over 150+ talented innovators in 3 years. We foster creativity and unconventional ways of doing things, welcoming like-minded professionals to join us.

Salary range €3.8K-€5.2K gross, based on your experience and interview results.