About the role

You will build and maintain real-time streaming ingestion pipelines and manage the company's self-service analytical data platform. Additionally, you will ensure the reliability of the data warehouse and provide infrastructure support using cloud technologies.

What they look for

Data engineering Flink Spark Golang Scala Python SQL Terraform Kubernetes AWS GCP Stream processing Data warehousing Cloud infrastructure Analytical data platform

Requirements

The role requires senior-level experience in data engineering with proficiency in stream processing technologies like Flink or Spark. Candidates must also possess strong programming skills in Golang, Scala, or Python, along with experience in cloud infrastructure and SQL.

Benefits

Pension Health insurance Enhanced parental leave State of the art equipment

Full description

Banking hasn't changed much in decades. We're changing that. One product at a time.

Lunar is a Nordic challenger bank building the future of financial life with AI at the core. Our engineers, designers, and product people work on problems that actually matter. Making money simpler, smarter, and more rewarding for millions of people across the Nordics.

Fully licensed and founded in 2015, with offices in Copenhagen, Aarhus and Stockholm.

We move fast, we build with purpose, and we're just getting started.

As our new Senior Data Platform Engineer you'll join the Squad Matrix team based in Copenhagen, reporting to Jesper, working to build Lunar's self-service analytical data platform, Hubble.

What will you do?

Build product-grade Flink streaming ingestion pipelines, working with cutting-edge streamhouse technologies (Paimon, Iceberg, Fluss, StarRocks) to move data in real time.

Own end-to-end projects that add new capabilities or fix issues across our data stack, from ingestion through to the warehouse.

Ensure consistent, reliable daily operations of our data warehouse — the foundation other teams build on every day.

Provision cloud infrastructure with Terraform and run services in Kubernetes, keeping the platform deployable and dependable.

Support stakeholders across the business with data requests, and use agentic workflows to scale your impact.

What are we looking for in you?

Senior-level experience in data engineering, with a track record of owning platform-level systems, not just pipelines.

Experience with stream data processing using Flink, Spark, or similar.

Experience with cloud infrastructure (AWS, GCP, or similar), and comfort making architectural trade-offs.

Programming experience in one or more of Golang, Scala, or Python, plus solid SQL.

Ability to work closely with non-engineering stakeholders, translating platform capabilities into something analysts can actually use.

Benefits and perks

4 days in the office. We're a team that builds together, thinks together, and moves together. Showing up is part of how we work.

State of the art equipment. The newest computer, monitor, mouse, and keyboard. We want you to do your best work without anything slowing you down.

Pension, health insurance, and enhanced parental leave. From your financial future to your family moments. We've got you covered.

Are you ready to join the journey? Apply now and let's find out more!

While you hold on tight for us to get back to you, curious to see what we're up to? Follow us on LinkedIn for business announcements and releases 📢, check out our Instagram for an inside scoop on what it's like to work here.

We welcome applications from candidates of all backgrounds. If you need any adjustments during the recruitment process, please let us know.

Depending on the regulations in the country where you will be employed, we will ask to see or obtain information about your criminal record.