Job Description

Stories have the power to make the ordinary extraordinary. They help us think bigger, see beyond ourselves, and deepen our connection with others.

As one of the world’s leading audiobook and e-book streaming platforms, Storytel brings unlimited listening to millions of users across 25 markets. We’re at the forefront of digital storytelling, driven by a vision to make the world a more empathetic and creative place.

Ready for your next chapter? We are now on the lookout for a platform-focused Senior Data Engineer to join the team in Stockholm.

About the Team

The Data Engineering team makes data something Storytel can rely on without thinking about it. We cover the full data lifecycle, from ingestion to delivery, and work side by side with analytics engineers, software engineers, analysts and data scientists.

Our platform runs on Google Cloud, with BigQuery, Terraform, Airflow, Airbyte, Python and GitHub Actions at its core. dbt and Looker are what the platform serves: our analytics engineers build their models and dashboards on top of it. We keep our skills sharp with regular lab days.

About the Role

Your goal is a reliable, self-service data platform that the whole organisation can use without thinking about it. This is not a role where you build every pipeline on request. You build the platform, so that others can spend their time on the data instead of the plumbing. You treat it as a product, and the rest of the data organisation are your users.

As a senior member of the team, you own the platform decisions: how data is ingested, how the platform is built and deployed, and how it stays reliable and secure. You are also the technical partner who helps colleagues get the most out of it.

What you will do

• Own how data enters the platform from our own services and third-party sources. You build reusable, observable ingestion, so adding a new source is configuration, not a project.
• Make sure producers and consumers agree on what data looks like before it arrives, so breaking changes are caught early.
• Build and run the platform as code, with automated deployment, environments and CI/CD, including the infrastructure behind our transformation and BI layers.
• Run the orchestration layer and own monitoring and alerting, so failures are fixed before the business notices.
• Provide the tooling that makes secure, privacy-compliant, well-governed and cost-efficient data the default. Analytics engineers define the tests and standards, and you provide the capabilities they use.
• Build the templates, tooling and automation that let colleagues ship data and reports safely without being infrastructure experts.

About You

You have built and run production data infrastructure and enjoy making it dependable for other people. You think in capabilities, not one-off solutions: when a problem comes up twice, you make sure it can’t come up a third time.

You have

• Solid experience working in Data Engineering in a modern tech company.
• Hands-on experience building and operating cloud data infrastructure, including data warehousing (GCP and BigQuery preferred, AWS or Azure is fine).
• Experience delivering infrastructure as code (Terraform) and CI/CD (for example GitHub Actions).
• Experience running orchestration (for example Airflow) and designing data flows that are reliable, observable and recoverable.
• Experience with batch data ingestion.
• AI fluency.
• Clear communication: you can explain complex technical solutions to non-technical colleagues and adapt to your audience.

Bonus experience

• Streaming data ingestion
• Data contracts
• Docker and Kubernetes
• Familiarity with dbt, Looker and Airbyte
• Metadata and data discovery tooling

Join a world of stories

At Storytel, we’re a team of creative story lovers who thrive on collaboration and new ideas. Our workplace is friendly, dynamic, and full of opportunities to experiment and make an impact. We believe in trust, flat hierarchies, and empowering you to grow with us.

Does this sound like your next story? Simply fill out the application form and share your CV or LinkedIn profile – no cover letter needed. Answer a few questions, and you’re all set.