Data Engineer (Markets and Wealth Unit)

Join our team as a Senior Data Engineer!

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 Senior Data Engineer to join our team and take a leading role in designing, building, and evolving enterprise‑scale data solutions. This is a hands‑on engineering position that blends deep technical expertise with architectural thinking and technical leadership. You will work with modern data engineering practices, contribute to our Data Lakehouse platforms, and help shape the future of our cloud‑native data ecosystem.

Experience with Oracle or Sybase data warehouses is a plus, but not required.

We are looking for a candidate primarily already located within the Baltics. Please apply with your CV in English and PDF format till 11th of October.

• Strong experience in data engineering within enterprise-scale environments
• Advanced SQL skills and a solid understanding of analytical, dimensional, and data warehouse modeling concepts
• Hands-on experience designing and operating modern Data Lakehouse or cloud-native data platforms
• Proven experience with AWS data technologies, including EMR, Glue, Athena, S3-based data lakes, and related services
• Strong experience building distributed data processing solutions using Apache Spark
• Solid Python development skills for ETL/ELT development, automation, and data processing
• Experience designing, implementing, and maintaining reliable, scalable, and high-performing data pipelines
• Practical experience working with Apache Iceberg, Parquet, and modern data storage formats
• Understanding of CI/CD practices, platform observability, monitoring, and operational support
• Experience working with Oracle or Sybase-based data warehouse technologies is advantageous
• Exposure to data platform modernization, migration, or transformation initiatives is considered a strong plus
• Strong analytical thinking, problem-solving capabilities, and ability to evaluate systems from an end-to-end perspective
• Ability to independently drive technical solutions and make well-reasoned engineering decisions
• Confidence leading technical discussions with engineers, architects, and business stakeholders
• A continuous learning mindset and genuine interest in emerging cloud, data, and lakehouse technologies
• Fluent English, both spoken and written, is required due to collaboration across the Pan-Baltic organization