Data Engineer

16 days ago

Stockholm, SwedenMid Level

Responsibilities

Design, build, and maintain robust batch and streaming data pipelines.
Ensure the quality, performance, and reliability of data products.
Collaborate with product, analytics, commercial, and other cross-functional teams to support business and analytics needs.
Develop scalable data solutions using Spark, Databricks, and related tooling.
Apply engineering practices including clean code, testing, observability, and peer reviews.
Contribute to continuous improvement of the data platform and its tooling.

At least 3 years of experience in data engineering.
Hands-on experience with SQL and Python.
Experience with data processing tooling, preferably Databricks.
Experience with Spark is a plus.
Understanding of data modeling, including medallion or layered architectures and dimensional modeling.
Familiarity with data modeling, version control, and orchestration tools.
Strong collaboration and stakeholder engagement skills.
Infrastructure as code and CI/CD exposure is a plus.
Hands-on experience with streaming frameworks such as Flink or Lambda is a plus.
Understanding of cloud services and infrastructure such as AWS, GCP, or Azure is a plus.
Experience with data quality frameworks or data observability tooling is a plus.
Interest in developer experience and scalable platforms is a plus.
Contributions to open-source or internal engineering communities are a plus.

30 days of paid vacation annually.
Attractive pension and insurance scheme.
Generous parental leave pay.
Wellbeing initiatives and a wellness allowance.
Hybrid work model with at least three days per week in the Stockholm office.
Learning and upskilling opportunities.
Annual week-long Hack Days initiative.
Unlimited access to Viaplay content, including series, viewing events, new-release movie rentals, and linear channels.