Senior Data Engineer

Senior data engineer for helping save lives!

At Laerdal, we create solutions that help save lives by improving training, preparedness, and quality of care across healthcare systems worldwide.

About us

Laerdal Copenhagen excels in digital learning solutions. We are around 145 mission-driven colleagues building digital learning and virtual simulation products used by healthcare professionals around the world. Our office in central Copenhagen brings together designers, engineers, doctors, learning specialists, and product people who collaborate closely to build meaningful products in a complex domain.

We care deeply about quality, collaboration, and impact – and we offer a culture with high trust, low ego, and room to grow.

Position overview

Serve as strong technical contributor, turning product and research needs into trusted, performant data products that power near real-time insights and polished reporting, without disrupting existing customer-facing analytics.

What you will deliverData trust & consistency: Reduce inaccuracies/discrepancies across analytics, exports, and reporting by implementing reconciliations, definitions, and quality controls.

Reliable insight delivery: Build/operate pipelines that support timely learner and program insights, including future ROI/QI needs. Ensure quality through automated tests, anomaly detection, lineage/metadata.

Scalable data foundations: Improve pipeline cost/performance and enable downstream layers (e.g., refinement) with maintainable architecture.

What you will do in the teamDesign, build, and optimize ingestion, transformation, and serving pipelinesPartner with the Product Manager and Design Researcher to understand user needs, gather requirements and translate them into technical solutions.

Collaborate with the broader toolchain (e.g., Databricks/Power BI) and related teams to improve overall system landscape and data value streamEnsure security/compliance and governed access for customers and internal users as well as reliability of the solution.

Key competency requirementsStrong data pipeline engineering, data modeling, and cloud data platforms (e.g., Databricks/Fabric), plus automation and metadata management.

Proven ability to translate business questions into robust metrics; excellent stakeholder communication in cross-functional teams.

Experience with CI/CD and DevOps principlesNice-to-have skills:

• Knowledge in IaC tools (such as Terra
• Form)
• Experience building agent-based systems
• Domain knowledge in healthcare and/or learning systems
• Why join Laerdal Copenhagen?A mission-driven workplace where your work contributes to helping save lives globally.A collaborative, cross-disciplinary environment with passionate and highly skilled colleagues.A friendly and casual office in an old warehouse in central Copenhagen, close to Islands Brygge.

Fair compensation, flexible working conditions, and opportunities for growth and development in a global organization.

Interested?

Apply with your CV and a short motivation letter explaining why this role speaks to you. Please combine everything into one file, as LinkedIn allows only one document.

We’ll review applications and set up interviews on an ongoing basis.GET A FEELING……of who we are in Laerdal Copenhagen in this video:https://vimeo.com/917084721/73a5d9e58a…and see more about our mission goal:https://one-million-lives.com/a-shared-goal/... or listen to some stories in our podcast: One Million Lives - A Laerdal Podcast