Senior Data Engineer to Husqvarna Group

## About this opportunity 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. ## 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. ## Requirements - 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 - 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 ## Benefits 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.