senior data engineer

Do you want to build the data infrastructure in a neobank? 

Are you an experienced data engineer looking for new challenges? Do you want to develop the infrastructure of a new and better bank model? And does it motivate you to work in cross-functional teams to truly understand the needs of the business? Read on!

We are not like other banks

This is your chance to become part of our ambitious team in kompasbank. We are dedicated to help SMEs realise their full potential and enable them to create growth and job opportunities in our society. 

We have built our own digital infrastructure from scratch – completely independent from existing structures and processes. 

We have done so to avoid the burden of old habits, processes and silo mentality – and because we believe that new technologies, data and speed creates new and better prerequisites for banking products and services.

What will you do?

As Senior Data Engineer in kompasbank your primary responsibility is to manage and develop our data infrastructure. You will become part of the tech team consisting of +20 competent employees. 

You will work closely together with cross-functional teams to ensure the infrastructure supports our analytics, regulatory reporting, machine learning models and algorithms. 

Your week will consist of many different tasks such as: 

  • Build, design and maintain our data infrastructure in close collaboration with the organisation.

  • Conduct exploratory data analysis.

  • Develop data pipelines to enable machine learning models to function effectively.

  • Implement best practices for data pipeline development, testing, deployment and monitoring. 

  • Collaborate with our software engineers to integrate machine learning models and data pipelines into product systems. 

About you

We are looking for a person with experience within machine learning and data engineering who is ready to develop our infrastructure. 

You may recognise yourself in the following: 

  • You are a skilled user of Python and AWS serverless services such as S3, Glue, SageMaker and Lambda.

  • You have experience working with infrastructure as code (IaC), TypeScript and AWS CDK or you are eager to learn. 

  • You are motivated by mentoring junior engineers and providing guidance on machine learning and data engineering best practices. 

What to expect?

You can definitely expect to become a valuable member of our team and to play a key role in building the bank model of the future. In addition, we offer: 

  • Head office in lovely, green surroundings in Vedbæk.

  • 80+ skilled colleagues.

  • Free access to a fitness studio.

  • Ongoing learning and development opportunities.

  • Social activities at least once a month.

Please send your cover letter, resume and grade transcripts to as soon as possible. We will have interviews on an ongoing basis.

If you have questions regarding the position, feel free to contact our Head of Data Systems, Mik Daniel Sølvborg, on +45 29 29 88 80 or