Data Engineer (Cards Team)

Data Engineer
Remote
July 30, 2026
Full Time
Application ends: October 29, 2026
Apply Now

Job Description

This role is for someone who enjoys solving complex data challenges at scale and wants to work with systems that power millions of card transactions, fraud prevention processes, digital payment journeys, and critical banking services across the Baltics.

You will play a key role in maintaining and evolving our Cards Data Warehouse while contributing to the migration of legacy solutions towards modern cloud-native and SaaS-based architectures. Working closely with engineers, analysts, product owners, and business stakeholders, you will help build reliable, secure, and scalable data solutions that support some of the bank’s most business-critical products.

How You Will Make an Impact:

  • Design, implement, and continuously improve data platforms, pipelines, and integrations supporting card issuing, card transactions, fraud monitoring, digital payments, and related banking products
  • Build and optimize data architectures for performance, scalability, reliability, and regulatory compliance
  • Develop and maintain ETL/ELT pipelines using modern tools and frameworks
  • Maintain and enhance the existing Cards Data Warehouse, reporting solutions, and related data integrations, ensuring business continuity during the migration period
  • Support the migration of data assets, ETL processes, reporting solutions, and integrations from legacy platforms to modern cloud-native and SaaS-based architectures
  • Ensure seamless integration and synchronization across card processing systems, core banking platforms, fraud solutions, payment networks, and digital channels
  • Uphold high standards of data quality, security, availability, performance, and PCI DSS compliance
  • Collaborate with analysts, software engineers, product owners, risk, fraud, and business stakeholders to understand data needs and deliver solutions
  • Perform code reviews, troubleshoot software, and fix defects
  • Implement monitoring, alerting, and observability for data workflows and critical payment-related data flows
  • Gain expertise in a variety of card and payment processes, including card issuing, transaction processing, fraud prevention, tokenization, reporting, and settlement
  • Work as part of a cross-functional Agile development team in a Pan-Baltic, international environment

What Makes You a Great Fit

  • 3-5+ years of experience in a Data Engineer position or a similar role; experience within the financial services, payments, or banking industry is considered a plus
  • Proven experience with SQL and Python; experience with other ETL frameworks and data processing tools is a plus
  • Experience with both SQL and NoSQL databases
  • Experience supporting and evolving enterprise data warehouse solutions and reporting platforms
  • Hands-on experience with cloud platforms (AWS, Azure, or GCP)
  • Experience with container orchestration tools (Kubernetes, Docker)
  • Understanding of streaming data pipelines and platforms (Kafka, Spark, Flink)
  • Familiarity with data pipeline tools such as Airflow, dbt, or similar frameworks
  • Experience with data warehousing solutions (Snowflake, BigQuery, Redshift, Synapse, or similar)
  • Knowledge of solution integrations (real-time, message-based, and event-driven architectures)
  • Exposure to test automation and DevOps practices, including Infrastructure as Code and security best practices
  • Experience working with legacy systems and modern cloud-native platforms simultaneously during transformation or migration initiatives
  • Experience within the cards, payments, fraud, risk, or finance domain is a strong advantage

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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