Skip to content
Search jobs inside your AI agent. Claude, ChatGPT, Gemini, Cursor and Grok
Connect

Golangprojects

NewBe an early applicant

Data Platform Engineer

Posted
Discussion

Summary

Data Platform Engineer at Lunar, a Nordic challenger bank, building its self-service analytical data platform (Hubble) with the Squad Matrix team in Copenhagen. Day to day: build Flink streaming ingestion pipelines with streamhouse tech (Paimon, Iceberg, StarRocks), provision infra with Terraform/Kubernetes, and keep the data warehouse running reliably.

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 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?

  • 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.

Skills

Apply

See also

Data Engineering jobs by country — openings, pay and top skills →