Experienced Data Engineer in Super AI

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Join Danske Bank's Mission as an Experienced Data Engineer in Super AI

We are on a transformative growth journey and are searching for talented colleagues to join us in our mission to develop innovative data science products. At Danske Bank, we aim to uncover and harness the value in data to enhance decision-making processes and deliver a positive societal impact.

About the Role

As a Centre of Excellence, our team plays a critical role in uncovering and preventing financial crimes such as money laundering, ensuring a real-time data-driven understanding of risks, and supporting academic research within the financial sector. Our department, with over 50 employees, excels in the entire model life cycle—from model design to developing robust Python-based solutions, adhering to best practices in software engineering, and maintaining and monitoring model performance.

To support this mission, Super AI’s data engineering team manages big data through storage, curation, and exposure, collaborating with various teams across the bank to understand the complete data value chain and journey.

Our Work Culture

We foster an open and collaborative work environment where team members find joy in working alongside colleagues while delivering impactful solutions for Danske Bank and society. You will be part of an international team based between Copenhagen and Vilnius, therefore, strong English skills are essential.

Don't meet every single requirement? We are dedicated to building a diverse, inclusive, and authentic workplace. If you are passionate about this role but your past experience doesn’t align perfectly with every qualification, we encourage you to apply. You might be the right candidate for this or other roles.

Depending on your experience and knowledge, you may be offered a role with different seniority.

Your Responsibilities

  • Develop sustainable, efficient, and scalable data pipelines for both batch and real-time, adhering to best practices and ongoing monitoring.
  • Serve as a point of reference for Data Engineering topics in projects and collaborate on project tasks related to data to develop production-ready, scalable models and applications.
  • Integrate, explore, and aggregate data, including data cleaning, error removal, and schema change.
  • Gain a good understanding of data lake architecture and the bank’s data storage systems (Hadoop, SQL, cloud, etc.).
  • Develop a thorough understanding of the bank's data to proactively address data abnormalities and monitoring cases, and to clarify user misunderstandings.
  • Co-develop and document standards for best practices and processes in data engineering.

About You

  • Minimum of 5 years experience in SQL, Spark, or Python.
  • Proven expertise in end-to-end data pipelines.
  • Knowledgeable in data engineering tool stacks, comfortable exploring and using new technologies and methods.
  • Interest and experience in Data Science and Machine Learning.
  • Curious and tenacious problem-solver with a results-oriented holistic view.
  • Ability to establish sustainable solutions with low technical debt and understand when to automate or simplify.
  • Take ownership while maintaining clear communication with stakeholders.
  • Upper-intermediate English language skills.
  • Higher education in mathematics, engineering, computer science, physics, or a related field.

Compensation and Benefits

We offer a competitive monthly salary ranging from 4880 EUR to 7320 EUR gross, based on your competencies relevant to the job. Additionally, Danske Bank employees enjoy a comprehensive benefits package, including:

  • Growth Opportunities: Professional & supportive team, e-learnings, numerous development programs (including professional certificates), and over 100 internal mobility opportunities.
  • Health & Well-being: A diverse, inclusive work and life balance environment, additional health insurance, mental well-being practices, partial psychologist counseling compensation, silence and sleep zones at the office, and game rooms.
  • Hybrid Working Conditions: Home office budget (post-probation period) and a modern workplace designed with anthropologists for the best employee experience.
  • Additional Days of Leave: Additional leave for rest, health, volunteering, exams in higher education institutions, and other important activities, plus seniority leave with Danske Bank.
  • Monetary Compensation Packages: Accidents & critical disease insurance, financial support during unfortunate events, travel insurance, and IIIrd Pillar Pension Fund contribution.

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