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

Husqvarna Group; Ulm; Vor Ort; EUR 80.000 - 100.000; Vollzeit

Zusammenfassung

A global leader in motor-powered equipment is seeking a Senior Expert Data Architecture & Engineering in Ulm, Germany. You will design and optimize cloud-based data platforms to drive advanced analytics and achieve E-Commerce success. The ideal candidate has over 5 years of experience in data engineering, expertise in cloud data pipelines, and excellent communication skills to bridge technical concepts with business needs. This role offers the opportunity to lead and empower a team while driving innovative data solutions.

Qualifikationen

• 5+ years experience in data engineering or adjacent fields.
• Proven track record in cloud-based data pipelines implementation.
• Advanced proficiency in SQL and Python.

Aufgaben

• Define and implement scalable cloud data architecture.
• Gather and orchestrate data for analytics and reporting.
• Collaborate with cross-functional teams to ensure data governance.

Kenntnisse

Data engineering

Cloud-based data pipelines

SQL

Python

Data modeling

CI/CD

Team Leadership

Communication

Ausbildung

Degree in Computer Science, Data Science, Artificial Intelligence, or related

Tools

Azure Data Factory

Azure DevOps

Databricks

Snowflake

dbt

Jobbeschreibung

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.

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.