
Data Engineer for Scalable Data Solutions in Stockholm
1 day ago
Empowering Organizations through Data-Driven Innovation
SVT is on a mission to harness the power of data to transform its digital services. As a Data Engineer, you will play a pivotal role in building real-time data pipelines and models, ensuring seamless access to structured data across teams.
The Opportunity
- A dynamic team that thrives on innovation and experimentation, fostering diverse perspectives and ideas.
- A culture that values autonomy, allowing teams to choose their approach and tech stack.
- A chance to impact content personalization, platform optimization, and viewer engagement.
- A supportive environment with open forums, innovation sprints, and dedicated time for learning.
- Ongoing individual development and challenges in a complex, exciting tech environment.
Your Challenge
As a Data Engineer in SVT's DataOps team, you will work closely with product teams, analysts, and engineers to continuously improve the data platform. You will leverage technologies like dbt, Airflow, and Clickhouse, as well as Python, GO, SQL, and Kubernetes.
The Team and Workplace
You will join our cross-functional DataOps team, comprising Data Engineers, Developers, and a PO. Our team values collaboration, curiosity, and mentorship, and we work in a hybrid setup, meeting at our office in Stockholm three days a week.
About You
We seek someone with a strong sense of ownership, curiosity, and initiative. A background in Python (or Go) and SQL is essential, along with experience in building scalable data solutions and containerized workflows using Docker and Kubernetes. Experience with Golang, GCP/BigQuery, Clickhouse, or modern data stack tools like dbt and Airflow is a plus.
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