Last date to apply:
We are continuously accepting applications
We’re looking for your WHY:
Bring your perspective and help us remain the progressive company we’ve been for over 300 years. We learn from each other and grow together — guided by our values: BOLD (brave), DEDICATED (committed), and CARE (caring).
The Husqvarna Group is one of the world’s oldest start-ups and the largest manufacturer of motor-powered equipment for forestry, landscaping, gardening, and light construction. Our products solve everyday problems — while also being part of something bigger. Because we constantly ask ourselves:
How can we shape living environments to be more sustainable, more beautiful, more comfortable, greener, more creative?
A pioneering spirit, a drive for innovation, and people like you make it possible.
Data-focused thinking and insight-based decisions are fundamental for us.
As Senior Expert Data Architecture & Engineering, you will be responsible for designing and optimizing cloud-based data platforms and end-to-end pipelines, enabling advanced analytics, personalized experiences, and monetizable data products for future E-Commerce success.
Your Responsibilities:
1. Define and implement a scalable data cloud architecture and pipeline landscape
as robust backbone for Consumer Data Analytics and automated, real-time actions
2. Gather and orchestrate data on purchase behavior, product & service usage,
garden & planting, and climate & soil conditions to enable standardized reporting, (advanced) analytics, personalized experiences, and monetizable data products
3. Maintain and continuously optimize the existing Market Intelligence data platform based on external & internal data sources, delivering best possible performance
4. Collaborate closely with cross-functional teams to align data solutions with business needs while ensuring adherence to governance, privacy, and architectural standards
5. Own the development & enhancement roadmap, prioritize features, and drive
ongoing delivery through effective project and stakeholder management
6. Establish and maintain clear documentation of data processes, pipelines, and architectural decisions – focusing on high‑quality, scalable, and maintainable code
7. Gradually build, lead, and empower a high-performing team of Data and AI/ML Engineers as the organization grows
Your Profile:
8. 5+ years professional experience in data engineering or adjacent fields – preferably with a degree in Computer Science, Data Science, Artificial Intelligence, or related
9. Proven track record in implementing, orchestrating & maintaining cloud based end-to-end data pipelines (Azure/AWS), utilizing tools such as Azure Data Factory or dbt
10. Advanced proficiency in SQL, Python, DevOps, CI/CD (Azure DevOps), and deep knowledge of data modeling & automation in platforms such as Databricks, Snowflake
11. Strong understanding of multiple data domains (e.g., financial, consumer, marketing, IoT), including their data structures, interdependencies, and business relevance
12. Initial leadership experience with a strong sense of ownership, decision-making skills, and the ability to balance business priorities with operational delivery
13. Excellent presentation and communication skills with the ability to translate complex technical concepts and issues into accessible business language
14. Collaborative mindset with very good written and spoken English skills
(German language skills are an additional advantage)
Our promise to you
Become part of a team that is passionate about its work, proud of its history, and curious about the future. We are looking for opportunities to grow — and we want to do it together with you. We’re already looking forward to your ideas for new ways of working, methods, initiatives, and approaches.