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

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:

• Define and implement a scalable data cloud architecture and pipeline landscape
  as robust backbone for Consumer Data Analytics and automated, real-time actions

• 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

• Maintain and continuously optimize the existing Market Intelligence data platform based on external & internal data sources, delivering best possible performance

• Collaborate closely with cross-functional teams to align data solutions with business needs while ensuring adherence to governance, privacy, and architectural standards

• Own the development & enhancement roadmap, prioritize features, and drive
  ongoing delivery through effective project and stakeholder management

• Establish and maintain clear documentation of data processes, pipelines, and architectural decisions – focusing on high‑quality, scalable, and maintainable code

• Gradually build, lead, and empower a high-performing team of Data and AI/ML Engineers as the organization grows

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 end-to-end data pipelines (Azure/AWS), utilizing tools such as Azure Data Factory or dbt

• Advanced proficiency in SQL, Python, DevOps, CI/CD (Azure DevOps), and deep knowledge of data modeling & automation in platforms such as Databricks, Snowflake

• Strong understanding of multiple data domains (e.g., financial, consumer, marketing, IoT), including their data structures, interdependencies, and business relevance

• Initial leadership experience with a strong sense of ownership, decision-making skills, and the ability to balance business priorities with operational delivery

• Excellent presentation and communication skills with the ability to translate complex technical concepts and issues into accessible business language

• 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.