Senior Data Engineer to Husqvarna Group

Husqvarna Aktiebolag; Jönköpings kommun; On-site; SEK 553,281 - 774,593; Full time

Job summary

Husqvarna Aktiebolag is seeking a Senior Data Engineer to enhance their data foundation and scale their Data Mesh platform. You'll be part of a skilled core team, supporting over 40 development teams with scalable data solutions in both Azure and AWS.

The ideal candidate thrives at the intersection of platform thinking and hands-on engineering, taking ownership of data pipelines and ensuring security and reliability. Strong experience in Python, Databricks, and cloud services is essential.

Qualifications

• Strong practical experience using Python in data engineering contexts.
• Experience in building and maintaining big-data pipelines using Databricks.
• Comfortable working across cloud environments and enabling other teams.

Responsibilities

• Monitor and operate pipelines to ensure reliability and performance.
• Manage and maintain Databricks for infrastructure and access.
• Support the Data Registry Development for data quality and policies.

Skills

Python

Databricks

APIs

Azure DevOps

Version control

Cloud (AWS and Azure)

Infrastructure as Code (IaC)

Security & governance

Job description

Now, we're looking for a Senior Data Engineer to strengthen our data foundation and scale our Data Mesh platform across Husqvarna Group.

About this opportunity

You’ll be joining a small and highly skilled core team that, over the past five years, has developed and nurtured Husqvarna’s Data Mesh. The Big Data team supports and guides 40+ development teams across both Azure and AWS – ensuring scalable, secure and high‑quality data solutions across the Group.

Responsibilities

• Monitor and operate pipelines to ensure reliability, performance and cost‑efficiency.
• Own security and backups across cloud accounts and environments.
• Do hands‑on data engineering: build and maintain pipelines, run proof‑of‑concepts, evaluate new tools, and help squads solve development, security and operational issues.
• Manage and maintain Databricks: workspace governance, infrastructure, access patterns and guardrails.
• Support Data Registry Development: ensure data quality, metadata completeness, and consistent application of privacy/PII policies across the Data Mesh.
• Create and maintain platform architecture for all things Data Mesh – with a focus on scalability, simplicity and clear ownership.

About you

You thrive where platform thinking meets hands‑on engineering. You’re comfortable working across cloud environments and enjoy enabling other teams through guidance, best practices and high‑quality tooling. You take ownership, communicate clearly and care about security, reliability and clean architecture.

Technical Toolbox – Must‑have 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

Nice‑to‑have / merited

• Databricks workspace governance and platform‑level operations
• Experience designing and maintaining a Data Registry / data catalog
• Cross‑cloud patterns, cost governance and monitoring at scale

Location

This position can be based at one of our sites in Sweden.