Job Opportunities API

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