Data Engineer (Cards Team)

Posted 15 Days Ago
Be an Early Applicant
Vilnius, Vilniaus miesto savivaldybė, Vilniaus apskritis, LTU
Hybrid
48K-72K Annually
Mid level
Fintech • Financial Services
The Role
Build, maintain, and migrate Cards data platforms and enterprise data warehouse solutions. Design and optimize ETL/ELT pipelines, streaming integrations, and cloud-native data architectures. Ensure data quality, security, PCI DSS compliance, monitoring, and cross-system synchronization while collaborating with engineers, analysts, product owners, risk, and fraud stakeholders in an Agile, pan‑Baltic environment.
Summary Generated by Built In
Join our team as a Data Engineer in Cards Team!

Yes, you can! That's our attitude towards our work, ambitions, ideas, and relationships. We at Luminor believe that anyone has the potential to achieve big things and encourage everyone to achieve them, professionally and personally.

Whoever you are and whatever your role is, with Luminor, you will get a once-in-a-lifetime opportunity to build a local banking champion.

We are looking for a Data Engineer to join our Cards domain and help shape the future of payment and card data platforms at Luminor.

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

  • Understanding of card transaction processing, card issuing, fraud monitoring, tokenization, and PCI DSS requirements is considered a strong advantage

  • Ability to take ownership and drive initiatives independently

  • Fluent English is required in spoken and written communication due to working on the Pan-Baltic level

Why You Will Love Working Here:
  • Gross salary. 4,010-6,010 EUR/month, which is to be determined depending on your level of experience and competencies

  • Flexibility. Flexible working hours, Hybrid work, and the possibility to work from anywhere in the EU, Iceland, Switzerland, and the UK (in total 90 days per year)

  • International teams. Teams that go outside Pan-Baltic borders, where people value challenging work together with good humor and having fun

  • Culture. You’ll be joining a team where things move fast, ideas flow freely, and change is part of the everyday. It’s a dynamic environment that keeps you learning, growing, and never bored

  • More vacation. Additional weeks of vacation are available to all employees who have been in the company for 1 year or more

  • Volunteer time off. We care about giving back to society, therefore, you will get additional days off for volunteering purposes

  • Paid leave. We are proud of our employees who are participating in military training. Therefore, Luminor offers 30 fully paid calendar days for military training every year

  • Health benefits. A competitive benefits package in addition to your salary that includes health insurance after the first 3 months pass in all three Baltic states, as well as Health days in case of your absence due to sickness without a doctor's note needed

  • Wellbeing. Access to tools and resources that help you feel good and be productive at work and in life

  • Professional growth. Internal and external training programs, LinkedIn learning, workshops, conferences, online training, etc

  • Special Offer for Luminor products & services. Enjoy special offers & pricing for products and services provided by Luminor

The application deadline is the 31st of July. We are looking for a candidate primarily already located within the Baltics. Please apply with your CV in English and PDF format!

Skills Required

  • 3-5+ years of experience in a Data Engineer position or similar
  • Proven experience with SQL
  • Proven experience with Python
  • Experience with 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 during migration initiatives
  • Fluent English in spoken and written communication
  • Experience within financial services, payments, or banking
  • Experience with other ETL frameworks and data processing tools
  • Experience within cards, payments, fraud, risk, or finance domain
  • Understanding of card transaction processing, card issuing, fraud monitoring, tokenization, and PCI DSS requirements
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The Company
HQ: Tallinn
2,300 Employees
Year Founded: 2017

What We Do

Luminor is a leading independent bank in the Baltics and the third-largest provider of financial services in the region, offering services such as term deposits, savings accounts, and loans.

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