Husqvarna AB

Senior Data Engineer to Husqvarna Group

Husqvarna AB
SE Jönköping, Jönköpings län
Onsite 2026-07-01
Estimated salary · Jönköping
~ SEK 674,400 - SEK 933,600
Low
SEK 572K
Median
SEK 674K
High
SEK 800K
Market in Jönköping · SCB 2025
Estimated net pay
SEK 42,580 - SEK 52,948
/month · 24% withheld
after tax & contributions · on the estimated salary · Individual taxation — marital status and dependents do not affect it

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, simpli

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