Senior Data Engineer

Viaplay Group; Stockholms kommun; Hybrid; SEK 900,000 - 1,200,000; Full time

Benefits offered by this job

30 days paid vacation

Pension and insurance

Wellbeing allowance

Hybrid model

Learning culture

Hack Days

Viaplay access

Job summary

Viaplay Group in Stockholm is seeking a Senior Data Engineer to lead and evolve our data platform. You will design scalable batch and real-time pipelines on Databricks, own Unity Catalog governance, and mentor engineers to advance a data-driven culture.

Join a team shaping long-term data strategy, collaborating with product, analytics, and commercial units. The role emphasizes strong Python/Scala skills, AWS expertise, and a focus on reliable, scalable data products in a hybrid work setting.

Qualifications

• 5+ years of data engineering experience in a senior or lead capacity.
• Hands-on experience with Databricks and PySpark.
• Solid understanding of Unity Catalog, data governance, and access control patterns.
• Deep knowledge of AWS Cloud services and infrastructure.
• Hands-on experience with streaming frameworks.
• Strong programming skills in Python (Scala/Java a plus).
• Familiarity with data modeling, versioning, and orchestration tools.

Responsibilities

• Design and build robust, scalable batch and streaming data pipelines on Databricks.
• Own and develop Unity Catalog implementation - governance, lineage, and access policies.
• Help shape long-term data platform strategy and tooling.
• Ensure the quality, performance, and reliability of data products.
• Collaborate with cross-functional teams to meet business and analytics needs.
• Champion engineering best practices: clean code, testing, observability, peer reviews.
• Mentor and guide other engineers through technical leadership and knowledge sharing.

Skills

Senior/lead data engineer

Mentoring

Cross-functional collaboration

Technical leadership

Databricks experience

PySpark

Unity Catalog

AWS

Streaming frameworks

Python

Scala/Java

Data modeling

Orchestration tools

Tools

Databricks

PySpark

Unity Catalog

AWS

Streaming frameworks

Python

Scala/Java

Data modeling

Orchestration tools

Job description

Please note that due to the summer holiday period, our recruitment process may take a little longer than usual. We look forward to reviewing your application and will provide an update in August.

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 Senior Data Engineer in our Stockholm office –are you ready to hit play on an exciting career change?

The Role

As a Senior Data Engineer, you will be a technical leader in our growing data team. You'll work closely with product, analytics, and commercial teams to shape our data architecture and drive the evolution of our platform. Our stack is built on Databricks running on AWS, supporting both batch and real‑time data pipelines. You'll design scalable systems using PySpark and modern lakehouse patterns, and help define what excellent data engineering looks like across the company.

You'll own and evolve our Unity Catalog setup, ensuring robust data governance, lineage, and access control as the platform scales. In addition, you'll play a central role in mentoring, influencing technical direction, and supporting a modern data-driven culture at Viaplay.

What You Will Be Doing

• Design and build robust, scalable batch and streaming data pipelines on Databricks
• Own and develop our Unity Catalog implementation - governance, lineage, and access policies
• Help shape our long‑term data platform strategy and tooling
• Ensure the quality, performance, and reliability of our data products
• Collaborate with cross‑functional teams to meet business and analytics needs
• Champion engineering best practices: clean code, testing, observability, peer reviews
• Mentor and guide other engineers through technical leadership and knowledge sharing

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 some experience in the following:

• 5+ years of experience in data engineering, with a proven track record in a senior or lead capacity
• Strong hands‑on experience with Databricks and PySpark
• Solid understanding of Unity Catalog, data governance, and access control patterns
• Deep knowledge of AWS Cloud services and infrastructure
• Hands‑on experience with streaming frameworks
• Strong programming skills in Python (Scala/Java is a plus)
• Familiarity with data modeling, versioning, and orchestration tools

It’s a bonus if you have:

• Infrastructure as code and CI/CD experience
• Focus on developer experience and platform scalability
• Contributions to open‑source or internal engineering communities

What we offer you

• We’ve got you covered! 30 days of paid vacation every year, an attractive pension and insurance scheme, and generous parental leave pay lift.
• Your wellbeing matters. We provide you with various wellbeing initiatives including wellness allowance.
• Flexibility that works. We follow a hybrid model with at least three days a week in the office, giving you the best mix of collaboration and focus time.
• A safe space to grow and up‑skill. Our learning culture puts you in the driver’s seat of your own development.
• An innovative environment with Hack Days once a year. This week‑long initiative allows you to think outside the box and deliver creative, technical solutions that (more often than not) go on to be implemented, either in our product or our ways of working.
• Entertainment is what we love, and entertainment is what we do. So, unlimited access to Viaplay seems only fair for you to get to know the product –including serier & viewing events, new release movie rentals, linear channels and more.