Senior Data Engineer to Husqvarna Group
Husqvarna AktiebolagNy
Jobbet i korthet
Anställningstyp
tillsvidareanstallning
Arbetstid
heltid
Ansök senast: 2026-08-01
Publicerad: 2026-07-01
Beskrivning
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 victoria.kjellgren@husqvarnagroup.com
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 victoria.kjellgren@husqvarnagroup.com
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Senior Data Engineer to Husqvarna Group
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Husqvarna Aktiebolag
