Senior Data Engineer at Storytel

Stockholm, Stockholm, Sweden -

Full Time

Start Date

Immediate

Expiry Date

16 Oct, 26

Salary

0.0

Posted On

18 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Dbt, Looker, BigQuery, Python, Airflow, Terraform, CI/CD, Github, Airbyte, Google Cloud Platform, Docker, Kubernetes, Data Warehousing, Data Orchestration, Data Infrastructure, Streaming Data Ingestion

Industry

Entertainment Providers

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 is responsible for empowering Storytel with data. We drive the full data lifecycle, from ingestion to delivery, and help ensure that the rest of the business have the data, tools and engineering collaboration needed to help make informed data-driven decisions. As a team, we provide cross-functional competencies in data engineering as well as analytics engineering to the rest of Storytel. Some of the tech stack and tools we work with are dbt (SQL), Looker, BigQuery, Python, Airflow, Terraform, CI/CD, Github, Airbyte as well as other products included within the Google Cloud Platform. Moreover, we like to keep our skills up to date by frequently engaging lab days. About the Role As a Data Engineer, your main responsibility will be to enable the team and the rest of the organization with a data platform and the tools that power data at Storytel. You will have the opportunity to work in a dynamic environment with plenty of opportunities to experiment with new technologies and solutions. Our team is highly collaborative and works in a cross-functional organizational landscape with the following: Example of responsibilities Build core infrastructure: Contribute to building a large-scale, highly performant self-service data platform using cutting-edge technologies Innovate and improve: Drive internal tooling and process development to continuously increase data quality and constantly improve the engineering experience. Excellence in data management: Continuously improve on building capabilities for effective data utilization across Storytel. Collaboration: Collaborate with other engineers, data analysts, data scientists, and decision-makers to understand needs and build self-service. About you To be a fit for our team, we believe that you: Have a few years of hands-on experience in delivering data products and know the value of accurate consistent data infrastructure. Have experience in delivering infrastructure using Docker, Kubernetes, Terraform, Github (Github actions), and maintaining data orchestration tools such as Airflow, dbt, Airbyte. Have experience with cloud infrastructure (Azure, AWS, or GCP) and data warehousing (preferably BigQuery). Have a good understanding of data access, storage, and optimization. Are able to break down and explain complicated technical solutions independent of stakeholders. Thrive in an environment focusing on innovation and collaboration and continuously work on personal development. Bonus qualifications: Experience with streaming data ingestion. Expertise in developing CI/CD pipelines tailored for data infrastructure. 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.

Responsibilities

Build and maintain a large-scale, performant self-service data platform and core infrastructure. Collaborate with cross-functional teams to improve data quality, tooling, and effective data utilization across the organization.