Data Engineer

Viaplay Group; Stockholms kommun; On-site; SEK 650,000 - 900,000; Full time

Job summary

Viaplay Group in Stockholm is seeking a Data Engineer to help build and evolve our growing data platform. You will partner with product, analytics, and commercial teams to design and deliver data pipelines powering insights across the company.

Our stack includes Spark, Databricks, and AWS, enabling both batch and real-time processing. You will work closely with data stakeholders to ensure data quality and reliability, applying best practices in clean code, testing, and observability.

Qualifications

• Minimum 3+ years in data engineering or related field.
• Experience building and maintaining data pipelines and platforms.

Responsibilities

• Design, build, and maintain robust batch and streaming data pipelines.
• Ensure quality, performance, and reliability of data products.
• Collaborate with product, analytics, and commercial teams to power insights.

Skills

SQL

Python

Data modeling

Collaboration

Tools

Databricks

Spark

Airflow

CI/CD

Job description

At Viaplay Group, we entertain millions of people every day through our streaming services, radio networks, and TV channels. We believe in the power of content not just as a way of telling stories and touching lives, but also expanding worlds.

We’re looking for the best people to join us on our journey. Right now, we’re searching for a Data Engineer in our Stockholm office –are you ready to hit play on an exciting career change?

The Role

As a Data Engineer, you will play an important role in building and evolving our growing data platform. You’ll work closely with product, analytics, and commercial teams to design and deliver data pipelines that power insights and decision-making across the company. Our stack is hosted in AWS and supports both batch and real-time data processing. You’ll work with Spark, Databricks, and related tooling to develop scalable solutions and contribute to a modern data-driven culture at Viaplay.

What You Will Be Doing

• Design, build, and maintain robust batch and streaming data pipelines
• Ensure quality, performance, and reliability of data products
• Collaborate with cross-functional teams to support business and analytics needs
• Apply engineering best practices: clean code, testing, observability, peer reviews
• Contribute to continuous improvement of our data platform and tooling

What we’re looking for

We understand you may feel confident ticking certain boxes more than others and that’s why we always keep an open mind in our recruitment process. But, in order to thrive in this role, we do believe you’ll have at least 3+ years of experience in data engineering. You thrive in a collaborative environment, are comfortable working with stakeholders and enjoy solving complex challenges.

Key Skills

• Experience with data processing tooling. Preferably Databricks
• Good hands on experience with SQL and Python. Spark is a plus
• Good understanding of data modelling, such as medallion/layered architectures and dimensional modelling
• Familiarity with data modeling, version control, and orchestration tools

It’s a bonus if you have:

• Infrastructure as code and CI/CD exposure
• Hands-on experience with streaming frameworks (e.g. Flink, Lambda)
• Good understanding of cloud services and infrastructure (AWS, GCP or Azure)
• Experience with data quality frameworks, or data observability tooling