
Data Engineer to SVT's Data Infrastructure Team
2 days ago
SVT is a leading media organization that relies on data-driven innovation to empower its digital services. The company has established a Data Mesh framework, enabling teams across the organization to create, own, and leverage their own data models.
We are seeking an experienced Data Engineer to join our DataOps team in Stockholm. As a key member of this team, you will play a crucial role in building real-time data pipelines and data models in GCP/BigQuery, ensuring data is structured and accessible for other teams.
Job Description- You will work closely with product teams, analysts, and engineers in a cross-functional and highly supportive setting, continuously improving our data platform by exploring and adopting new approaches and tools.
- The successful candidate will have experience with modern data stack technologies like dbt, Airflow, and Clickhouse, as well as proficiency in Python, Go, SQL, and Kubernetes.
As a Data Engineer in our DataOps team, you will be part of a dynamic and collaborative environment that values innovation, experimentation, and personal growth.
About You- We are looking for someone who brings curiosity, initiative, and a strong sense of ownership to everything they do.
- A background in Python (or Go) and SQL, with experience building scalable data solutions and containerized workflows using Docker and Kubernetes, is essential.
- Experience with Golang, GCP/BigQuery, Clickhouse, or modern data stack tools like dbt and Airflow is a significant plus.
We operate in a bilingual environment, and while Swedish is not a requirement, fluency in English is expected.
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