
Data Engineer for Data Product Solutions
at Danske Bank
Posted 3 hours ago
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- Compensation
- €3,040 – €4,560 EUR
- City
- Country
- Lithuania
Currency: € (EUR)
**Data Engineer - Data Product Solutions** in Vilnius, Lithuania. Design, build, and optimize data solutions. Key responsibilities include data modelling, pipeline development, and data quality management. Work with Databricks, SQL, PySpark, and Databricks LakeFlow Declarative Pipelines. Collaborate with engineers, analysts, and business stakeholders. Join early in our decentralized data product journey. Hybrid setup, office minimum three days per week.
Location: Vilnius, Lithuania
Are you a data enthusiast ready to grow in data engineering while building solutions that improve business outcomes? Join us to work with modern data technologies, learn from experienced colleagues, and help shape Danske Bank’s journey towards a decentralised data product approach.
The Data Product Solutions squad is part of the Data Platform Tribe, supporting data professionals across Danske Bank with reliable, scalable data products.
You will join us early in this journey and help design, build, and improve data solutions in close collaboration with skilled engineers, analysts, and business stakeholders.
In this role, you will work with technologies such as Databricks, SQL, PySpark, and Databricks LakeFlow Declarative Pipelines, while developing your skills in data modelling, pipeline development, and data quality.
We work in a hybrid setup and currently meet in the office at least three days a week.
You will:
- Build and improve scalable data products and pipelines using modern data engineering practices
- Collaborate with engineers, analysts, and business stakeholders to turn data needs into practical solutions
- Support data modelling, pipeline orchestration, and performance optimisation
- Apply engineering standards, documentation, data governance, and testing practices to help ensure reliable solutions
About you:
- 2+ years of practical experience in data engineering, data solutions, or a similar area
- Experience with SQL and Python or PySpark for data manipulation and pipeline development
- Interest in modern cloud and data platforms such as Databricks, AWS, or Azure
- Familiarity with GitHub, Azure DevOps, CI/CD, or unit testing would be an advantage
- Basic understanding of data modelling, orchestration, and data quality principles
- Curiosity, problem-solving mindset, and willingness to learn through collaboration and feedback
- Strong English skills
If this sounds like a role where you could learn, contribute and grow, we would like to hear from you - even if you do not meet every requirement.
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.
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 - Sergio Pérez via LinkedIn, and I will answer your questions!
