Data Platform Engineer
We usually respond within three days
The role
• Design and operate a modern data platform (batch + streaming) for analytics and ML.
• Build reliable ETL/ELT pipelines and data models (SQL/Python) with orchestration (Airflow/Prefect).
• Implement lakehouse patterns (Delta/Apache Iceberg) or warehouse solutions (Snowflake/BigQuery).
• Establish data quality, lineage, catalog, access control, and cost monitoring.
• Enable self-service for downstream teams (semantic layers, dbt, documentation, SLAs).
What you bring
• MSc/BSc in Computer Science/Data Engineering or similar.
• 3+ years in data engineering/platform roles at scale.
• Strong SQL and Python; experience with Spark and streaming (e.g., Kafka).
• Cloud data stacks on AWS/Azure/GCP; Infrastructure as Code (Terraform).
• Data quality/observability tooling (e.g., Great Expectations, OpenLineage).
Nice to have
• Feature stores for ML, near real-time analytics, cost optimization/FinOps.
• Security/privacy design for data platforms (GDPR, PII, role-based access).
- Department
- Information Technology
- Locations
- Sweden, Finland
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