Senior Expert Data Architecture & Engineering (m/f/d)

Senior Expert Data Architecture & Engineering

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.

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:

• Establish, lead, and empower a high-performing team of Data and AI/ML Engineers to gather and orchestrate data on purchase behavior, product & service usage, garden & planting, and climate & soil conditions as underlying foundation for (advanced) analytics, personalized experiences and monetizable data products
• Define and implement a scalable data cloud architecture and pipeline setup to provide a robust backbone for Consumer Data Analytics and real-time actions
• Maintain and continuously optimize the existing E-Commerce data platform based on external & internal data sources with best possible performance
• Own the development & enhancement roadmap, prioritize features, and drive ongoing delivery through effective project management
• Closely collaborate with cross-functional teams to align data solutions with business needs while ensuring compliance with governance and architectural standards

Your Profile:

• 5+ years professional experience in data engineering or adjacent fields – preferably with a degree in Computer Science, Data Science, Artificial Intelligence or related
• Proven track record in implementing, orchestrating & maintaining cloud based (Azure/AWS) end-to-end data pipelines utilizing tools like Azure Data Factory or dbt
• Proficiency in SQL, Python, DevOps, CI/CD (Azure DevOps), and deep knowledge of data modeling & automation in platforms like Databricks, Snowflake or similar
• Initial leadership experience with strong ownership, decision-making skills and the ability to balance business priorities with operational delivery
• Collaborative working approach with excellent communication skills in English (good German 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.