Senior Data Engineer — Scale Data Mesh & Databricks

Husqvarna AB; Huskvarna; On-site; SEK 600,000 - 800,000; Full time

Job summary

Husqvarna AB is seeking a Senior Data Engineer to enhance its data foundation and scale its Data Mesh platform. The ideal candidate will have strong skills in Python, Databricks, and cloud environments, ensuring scalable data solutions across the organization.

This role emphasizes collaboration within an agile DevOps team, focusing on security, efficiency, and high-quality tooling. Applicants should demonstrate hands-on experience in data engineering and familiarity with governance best practices.

Qualifications

• Strong practical experience using Python in data engineering contexts.
• Experience building and maintaining big-data pipelines with Databricks.
• Familiarity with CI/CD pipelines in Azure DevOps.

Responsibilities

• Monitor and operate pipelines to ensure reliability and performance.
• Own security and backups across cloud accounts and environments.
• Do hands-on data engineering: build and maintain pipelines.

Skills

Python – strong practical experience using Python in data engineering contexts

Databricks – building and maintaining big‑data pipelines (e.g., PySpark)

APIs – integrating with external REST APIs

Azure DevOps – setting up and maintaining CI/CD pipelines; solid DevOps mindset

Version control – strong understanding of Git

Cloud – hands‑on experience with AWS (e.g., CloudFormation, ECS, S3) and exposure to Azure services

Infrastructure as Code (IaC) – familiarity with Terraform, Databricks Asset Bundles or AWS CloudFormation

Security & governance – experience applying privacy/PII rules, data quality checks and metadata standards at scale

Job description

Husqvarna AB is seeking a Senior Data Engineer to enhance its data foundation and scale its Data Mesh platform. The ideal candidate will have strong skills in Python, Databricks, and cloud environments, ensuring scalable data solutions across the organization.

This role emphasizes collaboration within an agile DevOps team, focusing on security, efficiency, and high-quality tooling. Applicants should demonstrate hands-on experience in data engineering and familiarity with governance best practices.