Aurora Engineering AB is seeking a Senior Data Platform Engineer to design, implement and operate our production data platforms. The role centers on platform engineering (about 85%) with data engineering tasks (about 15%), focusing on reliability, scale and automation. Stockholm-based with remote or hybrid options, you’ll own critical data pipelines and production environments and collaborate across teams to improve throughput.
Qualifications
5-10+ years of relevant experience.
Experience with Spark in Scala and Python.
Production Airflow experience is required.
Ownership of data platform/infrastructure operations.
Responsibilities
Operate, upgrade, optimize and manage production data platform environments.
Run and maintain Airflow in production.
Build and tune Spark workloads in Scala and Python.
Work with large data sets and complex data flows.
Contribute to CI/CD and platform automation.
Take operational responsibility for reliability, performance and scalability.
Skills
Spark (Scala/Python)
Airflow in production
CI/CD
Cloud experience (GCP/AWS/Azure)
Large data sets
Tools
Git
Jenkins
Kubernetes
GKE
BigQuery
Redshift
Kafka
Job description
Aurora Engineering AB is seeking a Senior Data Platform Engineer to design, implement and operate our production data platforms. The role centers on platform engineering (about 85%) with data engineering tasks (about 15%), focusing on reliability, scale and automation. Stockholm-based with remote or hybrid options, you’ll own critical data pipelines and production environments and collaborate across teams to improve throughput.