Data Engineer
hace 1 mes
At Storytel we believe that powerful stories add an extra dimension to life.
Storytel is one of the world's leading audiobook and ebook streaming services and we offer unlimited listening to consumers in 25 markets.
Our vision is to make the world a more empathetic and creative place.
We are now looking for a Data Engineer to join the team
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 has 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, 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: Key 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 tackle data challenges.
Required qualifications Data Engineering Experience: A few years of hands-on experience in delivering data solutions written in Python/Scala and SQL.
Infrastructure Expertise: Experience in delivering infrastructure using Docker, Kubernetes, Terraform, Github (github actions), and maintaining data ELT tools such as Airflow, dbt, Airbyte.
Cloud Proficiency: Experience with cloud infrastructure (Azure, AWS, GCP) and data warehousing (BigQuery).
Data Management: Understanding of data access, storage, and optimization.
Communication: Strong communication skills for stakeholder partnership.
Soft skills: Innovative, collaborative, value-driven, and continuously learning.
Bonus qualifications: Streaming Data: Experience with streaming data ingestion.
CI/CD: Expertise in developing CI/CD pipelines tailored for data infrastructure.
Data Modeling & BI: Familiarity with data modeling and BI reporting tools.
What we offer Storytel offers a friendly, entrepreneurial and fast-moving work environment where new ideas and creativity are welcomed.
At Storytel we trust our employees and believe in their autonomy.
We like doing things in new ways and questioning old methods.
The Storytel culture - characterized by being welcoming and helpful - is important to us.
We don't believe in hierarchy and micromanagement; we highly believe in giving responsibility and having people grow alongside it.
We offer flexible working hours, remote working possibilities and flexible public holidays for people to celebrate what they truly believe in.
And of course – you get unlimited access to audio and ebooks from our service
This role will be located in Stockholm.
Does this sound like an opportunity for you?
If you feel like Storytel is a place where you could thrive, let us know and we will contact you as soon as possible.
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