Location: Vilnius, Lithuania

Danske Bank A/S is offering a chance to thrive and seeking for a motivated Data Engineer to join People Tribe, working on an exciting HR domain modernisation journey.

We believe that HR should be digital-first and meet the expectations of the business and the workforce by enabling the organisation to embrace modern, seamless digital solutions that transform workforce experiences in the face of continuous disruption. There are unlimited horizons for creativity and innovation. As such, HR is undergoing profound progress. Once viewed as a support function that solely delivered employee services, HR is now at the core unleashing organizations wider digital transformation. This is an exciting opportunity to contribute to the transformation of our data capabilities and make a significant impact in the financial industry.

Your key responsibilities will include:

• Designing, developing, and maintaining scalable, robust data pipelines and ETL processes to support HR modernisation.

• Collaborating with stakeholders to gather data requirements and translate them into effective technical solutions.

• Contributing to the migration to cloud

  based infrastructure and modernising ETL tools and processes.

• Ensuring data quality and governance by implementing frameworks that guarantee accuracy, consistency, and compliance.

 

About you:

• Experience working with all ETL aspects as well as data integrations and data modelling.

• Already worked with or prepared to learn fast cloud platforms and their native services (AWS or DataBricks would be an advantage).

• Solid coding skills, preferably in data-friendly languages such as Python.

• Proven expertise in SQL and its performance tuning.

• CI/CD (Continuous Integration/Continuous Deployment) practices and utilizing Git for version control.

• Advanced English language skills.

• Sense of ownership, readiness to adapt to dynamic settings and an analytical, problem-solving mentality to collaborate effectively within a team or with business stakeholders.

• NICE TO HAVE: experience with business intelligence (BI) and data visualisation tools (like Tableau), exposure to AI agentic development practices and structured approach there, awareness with DevOps aspects of data engineering and infrastructure as code (IaC) tools like Terraform.

 

If you are ready to transform your career, join one of the top employers in the Baltics and make a real impact in a key domain - apply today to join our journey towards excellence!

We offer: 

Monthly salary range from 3040 EUR to 4560 EUR gross (based on your competencies relevant for the job). 

Additionally, each Danske Bank employee receives employee benefits package which includes: 

• Growth opportunities: professional & supportive team, e-learnings, numerous development programs; (incl. professional certificates); 100+ professions for internal mobility opportunities. 
• Health & Well-being: a diverse, inclusive, work & life balance work environment; additional health insurance; mental well-being practices; partial psychologist counselling compensation; silence and sleep zones at the office; game rooms. 
• Hybrid working conditions: Work from home up to two days a week; home office budget (after the probation period); modern Danske Campus workplace developed with anthropologist for the best employee experience. 
• Additional days of leave: for rest, health, volunteering, exams in higher education institutions, and other important activities. Moreover, for seniority with Danske Bank. 
• Monetary compensation package: accidents & critical diseases insurance; financial support in case of unfortunate events, travel insurance; IIIrd Pillar Pension Fund contribution. 

 

See all the benefits HERE. 

 

Your job function (position) in the job contract will be Data Engineering.

 

If you're interested in this role and joining my team, feel free to contact me Lukas Holsanskis via LinkedIn, and I will answer your questions! 

Looking for a Data Engineer to contribute to Danske Bank digital transformation journey of HR domain!