The posting
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.
How You Will Make an Impact:
- Design, build, and own end-to-end data pipelines, ETL/ELT processes, and scalable data products
- Lead the design, implementation, and continuous evolution of Data Lakehouse architectures using AWS services and open table formats
- Develop and operate large-scale data processing solutions using Apache Spark on AWS EMR
- Design, develop, and orchestrate complex workflows using Apache Airflow
- Integrate data from multiple internal and external sources while ensuring high levels of data quality, reliability, and performance
- Implement and maintain cloud-native data lakes using AWS Glue, Apache Iceberg, Parquet, and object storage technologies
- Enable analytical and self-service access to data through Amazon Athena and support downstream reporting and analytics in Power BI
- Define, improve, and govern data models, data contracts, engineering standards, and platform best practices
- Review technical designs and code, mentor other engineers, and act as a trusted technical reference within the team
- Collaborate closely with engineers, architects, product owners, and business stakeholders to drive data platform initiatives
- Identify scalability, performance, operational, and data quality challenges and proactively implement improvements
- Contribute to platform reliability through monitoring, operational support, CI/CD practices, and automation
- Support modernization and migration initiatives from legacy Oracle and Sybase data warehouses to modern cloud-native platforms when required
What Makes You a Great Fit
- 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
Why You Will Love Working Here:
- Gross salary. 4,760 - 7,600 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
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.
