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Data Platform Engineer at CO-WORKER TECHNOLOGY

Norrtälje kommun, , Finland -

Full Time

Start Date

Immediate

Expiry Date

02 Feb, 26

Salary

0.0

Posted On

04 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Platform Engineering, ETL, ELT, SQL, Python, Airflow, Prefect, Delta, Apache Iceberg, Snowflake, BigQuery, Data Quality, Data Lineage, Cloud Data Stacks, Terraform, Great Expectations, OpenLineage

Industry

Staffing and Recruiting

Description

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).

Responsibilities

The role involves designing and operating a modern data platform for analytics and machine learning, as well as building reliable ETL/ELT pipelines and data models. Responsibilities also include implementing lakehouse or warehouse solutions and establishing data quality and access control.