Junior Data Engineer — Hybrid, Build Scalable Data Pipelines

WPP Media; København; Hybrid; DKK 240,000 - 360,000; Full time

Job summary

WPP Open Intelligence is extending its engineering team to build privacy-preserving data products and scalable data pipelines. You will contribute to a new generation of data infrastructure, working closely with data engineers, software engineers, product managers, analysts and data scientists in a hybrid setup.

You will learn from experienced engineers while delivering reliable, scalable data systems designed with privacy and responsible data use in mind.

Qualifications

• Early-career data engineering / analytics engineering experience or related internship.
• Familiarity with Python, Go, or Scala for data work.
• Basic software engineering fundamentals: algorithms, data structures, processing.

Responsibilities

• Develop, test, and review data pipelines and code with team standards and mentorship.
• Collaborate with product managers, analysts and data scientists to implement features.
• Build and maintain data-quality checks, documentation and governance practices.

Skills

Python

Go

Scala

Git

Testing

CI/CD

Cloud (GCP/AWS/Azure)

Communication

curiosity about data quality

Tools

Docker

Kubernetes

Terraform

Job description

WPP Open Intelligence is extending its engineering team to build privacy-preserving data products and scalable data pipelines. You will contribute to a new generation of data infrastructure, working closely with data engineers, software engineers, product managers, analysts and data scientists in a hybrid setup.

You will learn from experienced engineers while delivering reliable, scalable data systems designed with privacy and responsible data use in mind.