Data Platform Engineer — Real-Time Pipelines & Cloud Infra

Golangprojects

København

On-site

DKK 900,000 - 1,200,000

Full time

14 days+

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Benefits offered by this job

4 days in the office
State of the art equipment
Pension, health insurance
Enhanced parental leave
Team collaboration culture

Job summary

Lunar, based in Copenhagen, is building the future of financial life with AI at the core. As our Data Platform Engineer in the Matrix squad, you join a Nordic challenger bank that moves fast and builds with purpose.

You will design and own real-time data pipelines using Flink and related technologies, provision cloud infrastructure with Terraform, and run services in Kubernetes. You will support analysts with self-service data capabilities and collaborate across product, analytics, and

Qualifications

  • Experience delivering platform-level data systems.
  • Proven experience with real-time streaming data pipelines.
  • Strong SQL skills and data modelling.
  • Collaborates with non-engineering stakeholders.

Responsibilities

  • Build product-grade Flink streaming ingestion pipelines.
  • Own end-to-end projects across the data stack from ingestion to warehouse.
  • Ensure reliable daily operations of the data warehouse.
  • Provision cloud infrastructure with Terraform and run services in Kubernetes.
  • Support stakeholders with data requests and scalable workflows.

Skills

Data engineering
Stream processing
Cloud infrastructure
SQL proficiency
Programming: Golang/Python/Scala

Tools

Flink
Spark
Terraform
Kubernetes

Job description

Lunar, based in Copenhagen, is building the future of financial life with AI at the core. As our Data Platform Engineer in the Matrix squad, you join a Nordic challenger bank that moves fast and builds with purpose.

You will design and own real-time data pipelines using Flink and related technologies, provision cloud infrastructure with Terraform, and run services in Kubernetes. You will support analysts with self-service data capabilities and collaborate across product, analytics, and

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