Data Engineer: Build Scalable, Privacy‑Preserving Pipelines

twentysix; København; Hybrid; DKK 780,000 - 1,100,000; Full time

Benefits offered by this job

Hybrid work model

Office four days a week

Job summary

Open Intelligence is seeking a Data Engineer in Copenhagen to design, build and operate high‑scale data pipelines and governance. You will collaborate with product teams, analysts and data scientists to deliver production‑grade components, ensure data quality, and improve reliability across our global data platform.

You will work with Python/Go/Scala, Spark, and containerized deployments on cloud platforms. A hybrid work arrangement and a focus on scalable infrastructure define the role.

Qualifications

• Strong communication and ability to explain technical concepts to diverse audiences.
• 2+ years of data engineering experience.
• Proficient in data wrangling with Python, Go, or Scala.
• Experience with large-scale processing engines (Spark).
• Familiar with CI/CD and testing best practices.
• Experience with cloud platforms (GCP, AWS, or Azure).
• Infrastructure as code with Terraform.
• Containerization with Kubernetes.

Responsibilities

• Discuss and propose technical solutions, review code and follow best practices.
• Collaborate with Product, analysts and data scientists to add features to the data platform.
• Contribute to data governance and data quality frameworks to ensure accuracy.
• Help identify and address technical debt and inefficiencies in the data platform.
• Stay curious and explore new tools and technologies to move faster.
• Share knowledge through dedicated sessions and stand-ups.

Skills

Strong communication

Data engineering

Python

Go

Scala

Spark

Terraform

Kubernetes

CI/CD

GCP

AWS

Azure

Tools

Spark

Terraform

Kubernetes

CI/CD tooling

Job description

Open Intelligence is seeking a Data Engineer in Copenhagen to design, build and operate high‑scale data pipelines and governance. You will collaborate with product teams, analysts and data scientists to deliver production‑grade components, ensure data quality, and improve reliability across our global data platform.

You will work with Python/Go/Scala, Spark, and containerized deployments on cloud platforms. A hybrid work arrangement and a focus on scalable infrastructure define the role.