Senior Data Engineer (Markets and Wealth Unit)

Posted 22 Days Ago
Be an Early Applicant
Vilnius, Vilniaus miesto savivaldybė, Vilniaus apskritis, LTU
Hybrid
5K-8K Annually
Senior level
Fintech • Financial Services
The Role
As a Senior Data Engineer, you will lead the design and development of enterprise-scale data pipelines, manage data lakes, and ensure data quality while collaborating with international teams and mentoring other engineers.
Summary Generated by Built In
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, develop, and own end‑to‑end data pipelines, ETL/ELT processes, and large‑scale data products.

  • Lead the design, implementation, and evolution of Data Lakehouse architectures using AWS services and open table formats.

  • Build and operate large‑scale data processing solutions using Apache Spark on AWS EMR.

  • Develop and orchestrate workflows using Apache Airflow.

  • Integrate data from multiple internal and external sources, ensuring high data quality, performance, and reliability.

  • Implement and manage data lakes using AWS Glue, Iceberg tables, and cloud object storage.

  • Enable analytical access through Amazon Athena and support downstream reporting in PowerBI.

  • Define and improve data models, data contracts, and engineering standards across the platform.

  • Review technical solutions, mentor other engineers, and act as a technical reference point.

  • Identify scalability, performance, and data quality issues and drive continuous improvements.

  • Collaborate with existing Oracle or Sybase data warehouses during transition or coexistence phases when needed.

What Makes You a Great Fit:
  • Strong experience in data engineering within enterprise environments.

  • Advanced SQL skills and solid understanding of analytical and dimensional data modeling.

  • Hands‑on experience with Data Lakehouse or modern data platform concepts (cloud object storage, open table formats, distributed processing).

  • Proven experience with AWS data services (EMR, Glue, Athena, S3‑based data lakes).

  • Strong experience with Apache Spark for large‑scale data processing.

  • Solid Python skills for ETL development, data processing, and automation.

  • Experience designing, implementing, and maintaining robust and reliable data pipelines.

  • Strong analytical, problem‑solving, and system‑level thinking skills.

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

Why You Will Love Working Here:
  • 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

  • Gross salary. 4,760 - 7,600 EUR/month, which is to be determined depending on your level of experience and competencies

 We are looking for a candidate primarily already located within the Baltics. Please apply with your CV in English and PDF format!

Skills Required

  • Strong experience in data engineering within enterprise environments
  • Advanced SQL skills and solid understanding of analytical and dimensional data modeling
  • Hands-on experience with Data Lakehouse or modern data platform concepts
  • Proven experience with AWS data services
  • Strong experience with Apache Spark for large-scale data processing
  • Solid Python skills for ETL development
  • Experience designing and maintaining robust data pipelines
  • Strong analytical and problem-solving skills
  • Fluent English in communication
Am I A Good Fit?
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The Company
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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