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Data Engineer

Stockholm, Sweden💼 Full-time🗓 2026-08-12 → 2026-09-25

Core

Build and evolve an established Azure Databricks data platform, translating business requirements into sustainable data products and pipelines.

Role type

Senior Data Engineer (Azure Databricks)

Builds

ETL pipelines, data models (gold warehouse), and data products for business units

Domain

Cloud data engineering (Azure Databricks, PySpark, SQL)

Deliverable

production ML models | product features

Required skills

Azure Databricks, PySpark, Spark SQL, Data Modeling (Kimball), CI/CD (YAML pipelines), Unit & Integration Testing, Data Governance, Performance Tuning

Preferred skills

ServiceNow incident management, Architecture documentation

Technologies

Azure Databricks, PySpark, SQL, Azure DevOps, ServiceNow

Responsibilities

Build and maintain ETL pipelines using PySpark and SQL; Model data in gold warehouses; Set up and improve CI/CD flows; Ensure data cleansing and access control; Monitor and resolve performance incidents; Document architecture and data models

Seniority

Senior, hands-on IC

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