Location: Vilnius, Lithuania

We believe taking risks is crucial in banking, and were committed to changing how we handle them. This is your opportunity to make a real impact on your personal and professional journey. Risk & Compliance Tribe brings together business and IT professionals into cross-functional squads and enables us to work in a truly agile organisation. Each of these squads are self-organized teams empowering its employees to take their own decisions while working on the end-to-end delivery of products and services. 

As a Senior Data Engineer, you will become a vital member of the Credit Data Solutions Squad within the Risk and Compliance Tribe. In this role, you will leverage your technical expertise to design and develop data solutions that are crucial for facilitating data-driven credit risk insights and reporting. The squad plays a pivotal role in managing and delivering data through our Data Warehouse, thereby supporting the organisation's analytical and decision-making capabilities.

Additionally, you will be part of the Data Engineers chapter, a community of highly skilled engineers who share your interest in data and technology. The chapter promotes continuous learning and knowledge sharing, ensuring best practices are disseminated across the tribe and organisation.

You will: 

• Design, develop, and implement end-to-end data solutions.
• Build and maintain data pipelines for business intelligence, decision modelling, and risk management.
• Drive optimization and automation of existing data flows and processes.
• Collaborate with fellow Data Engineers to create a reliable, robust, and accessible risk data repository.
• Consult with engineers, data scientists, and analysts across the bank on risk data-related questions.
• Actively participate in agile teams, driving transformation and advancing risk management practices.
• Ensure data solutions comply with governance frameworks and support accountability.
• Share knowledge and promote best practices within the Data Engineers chapter.

About you: 

• 5+ years as a Data Engineer or in a similar senior role, with deep expertise in ETL, data modelling, and SDLC.
• Advanced SQL skills (T-SQL/PL-SQL).
• Advanced Python and PySpark experience, with a proven track record of building robust and scalable solutions.
• Demonstrated experience with Databricks or AWS (certification preferred).
• Deep understanding of Infrastructure as Code (IaC), e.g., Terraform.
• Deep expertise in CI/CD, automated testing, and deployment best practices for data engineering.
• Experience mentoring and guiding junior colleagues.
• Skilled at understanding both high-level data flows and detailed technical dependencies.
• Excellent communicator in English, able to explain IT concepts to non-technical colleagues.
• Degree in Computer Science, Statistics, Physics, Mathematics, or a related field preferred.
• Genuine interest in risk management.

We offer:

Monthly salary range from 3920 EUR to 5880 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.

For questions, please contact Simonas Daulius at