Viaplay Group Sweden AB

Data Engineer

Viaplay Group Sweden AB
SE Stockholm, Stockholms län
Onsite 2026-06-23
Estimated salary · Stockholm
SEK 572k–SEK 800k
Low
SEK 572K
Median
SEK 674K
High
SEK 800K
Market in Stockholm · SCB 2025
Estimated net pay
SEK 43,060
/month · 25% withheld
after tax & contributions · on the estimated salary · Individual taxation — marital status and dependents do not affect it

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  The Ad Platform Solutions team sits within Viaplay Digital Ad Product, bridging commercial priorities and technical delivery in Viaplay. You will be joining a small, growing team where your work connects directly to how the sales organisation operates every day. As our new Data Engineer, you will play a central role in developing and improving the data infrastructure that powers ad sales across all Viaplay markets. We’ve built a solid foundation that supports our operations today, and we’re now looking for someone to take ownership of it - improving and strengthening what’s already in place, while also influencing architecture and shaping how the platform evolves. This is a hands-on engineering role. In a small team, you will work across the full data lifecycle - from pipeline development and orchestration to data modelling, ensuring the right data reaches the right people. Your day-to-day will include: • Building and maintaining data pipelines that power ad sales reporting and operations across Sweden, Norway, and Denmark • Structuring and modelling data so it is clean, consistent, and genuinely useful to the business • Identifying and resolving issues in existing pipelines, reducing manual work and improving reliability • Translating needs from stakeholders into solid technical solutions • Contributing to architectural decisions as the platform evolves We actively use AI-assisted tools as part of our development workflow to improve efficiency and speed up delivery. We expect engineers to use these tools effectively, while c

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