Data Engineer in Transaction Analysis and Models Squad

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Join the Financial Crime Lifecycle Management Tribe at Danske Bank, a global team committed to fighting financial crime and advancing banking security.

We are seeking a Data Engineer to join our Transaction Analysis and Models squad, working alongside skilled colleagues based in Lithuania and Denmark. In this role, you will leverage the power of big data to create innovative solutions that automate, refine, and enhance transactional data. We are looking for someone who is not only passionate about data but also grounded in engineering principles. The ideal candidate is a proactive problem solver, ready to tackle complex engineering challenges. With a keen eye for detail and a profound understanding of data structures and software architecture, you will contribute significantly to our team’s success.

If you are ready to make a meaningful impact, we would be thrilled to hear from you.

The workplace is located in Vilnius. Danske Bank supports workplace flexibility (we currently use a hybrid work model, where we work at least 3 days in the office).

You will:

Develop and oversee data integration processes, ETL workflows, and data pipelines, handling large data streams
Construct data models and structured data solutions to ensure high standards of data quality, consistency, and reliability
Streamline the performance of data pipelines for efficient data retrieval and processing
Integrate raw information from diverse sources, demonstrating your ability to work with various data sets
Collaborate with other data professionals to establish robust data governance, validation, and development practices
Stay updated with the latest advancements in data engineering to ensure maximum efficiency and software quality
Participate actively in a self-organizing Scrum team, exhibiting your agile mindset
Recognize the importance of comprehensive documentation and contribute when necessary to promote knowledge sharing within the team

About you:

You have a minimum of 3 years of experience as a Data Engineer, Data Scientist, or a similar role
You have a good understanding of the Big Data Ecosystem, including Cloud technologies
You have strong Python skills, along with familiarity in PySpark, Hadoop, Hive, Airflow, and SQL. Experience with AWS technologies will be an added advantage
You have experience in optimizing the performance of Spark processes
You possess keen analytical thinking and attention to detail. Your strong communication and interpersonal skills facilitate smooth collaboration with team members and stakeholders
You possess strong business acumen, understanding how technical improvements contribute to business value and drive organisational success
You carry an agile mindset, open to adjustments based on new requirements, information, or evolving team needs
You have a Bachelor’s or Master’s degree in a STEM-related field or equivalent
Upper-Intermediate English language skills

We offer:

Monthly salary range from 3440 EUR to 5160 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.