Senior Data Engineer to Husqvarna Group

Husqvarna AB (publ); Huskvarna; On-site; SEK 613,800 - 837,000; Full time

Job summary

Husqvarna AB (publ) is looking for a Senior Data Engineer to join their expert team in Huskvarna, Sweden. In this role, you will operate Databricks at scale, maintain pipelines, and enhance the Data Registry, driving best practices across the Data Mesh.

The ideal candidate will have strong experience with Python, Databricks, and cloud environments, alongside a deep commitment to security and data quality. This position supports an inclusive work environment with a focus on collaboration and innovation.

Qualifications

• Strong practical experience using Python in data engineering contexts.
• Experience building and maintaining big-data pipelines with Databricks.
• Hands-on experience with AWS and exposure to Azure services.

Responsibilities

• Monitor and operate data pipelines for reliability and performance.
• Conduct hands-on data engineering to build and maintain pipelines.
• Manage and maintain Databricks workspace and governance.

Skills

Python

Databricks

REST APIs

Azure DevOps

Git

AWS

Terraform

Security & governance

Tools

CloudFormation

ECS

S3

Job description

Last date to apply: 01 August 2026.

About this opportunity

You will join a small, highly skilled core team that has developed and nurtured Husqvarna’s Data Mesh over the past five years. 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.

Role Summary

As a Senior Data Engineer you will 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.

Responsibilities

• Monitor and operate data pipelines to ensure reliability, performance and cost‑efficiency.
• Own security and backup processes 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 to 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

• 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 Skills

• Databricks workspace governance and platform‑level operations.
• 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.

Equal Opportunity Statement

We are an equal opportunity employer and celebrate diversity. We are committed to creating an inclusive environment for all employees and candidates.