Job Title : Data Platform Engineer
Work Mode : Onsite
Location : Sweden / Finland
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).Ready for your next career move? Explore opportunities at Co-Workertech.com
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