Senior Data Engineer to Husqvarna Group

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

At Husqvarna Group, we are not only building innovative outdoor power tools — we are also transforming into a data-driven, digitally empowered company. Our IT and data landscape spans across continents, cloud platforms and business areas, and we’re on a mission to make data a true asset - at every level of the organization.

With a legacy of innovation dating back to 1689 — from sewing machines and motorcycles to chainsaws and robotic lawnmowers. Husqvarna has always evolved with the times. Today, that evolution is digital. and the future is powered by data.

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.

In this role, you’ll combine hands‑on engineering with platform governance: operating Databricks at scale, building and maintaining pipelines, evolving our Data Registry, and driving best practices for security, quality and metadata across the Mesh.

Your role

As Senior Data Engineer, you will:

• 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.

You will be part of an agile DevOps team that values collaboration, autonomy and building solutions that scale across the entire organization.

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.

Your 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.

How we work

We believe the best ideas happen when we're connected. We spend most of our time together in the office, creating space for collaboration, creativity, and fast decision‑making. This is consistent across all our global offices and helps us maintain a strong culture, support learning and development, and ensure everyone has access to the people and resources they need to thrive.

Your application

We look forward to receiving your application! Selection is ongoing, and the position may be filled before the final application date.

For questions about the process, contact Talent Acquisition Partner Victoria Kjellgren [e-mail]