Senior Data & AI Product Engineer / Senior Data & AI Product Engineeress

Join Our Mission to Redefine Swiss Watchmaking

We are a dedicated squad on a mission to redefine Swiss watchmaking, rooted in our legacy since 1884. Driven by innovation and precision, we create timepieces that combine modern-retro design with casual, approachable, and sustainable luxury—powered by passionate teams around the world.

Position: Senior Data & AI Product Engineer

For our Digital & Technology department in Grenchen, we are looking for a Senior Data & AI Product Engineer to join our #Squad.

Your Contribution

• Design, build, and operate data pipelines and products on Azure Databricks, integrating SAP and non-SAP sources across finance, sales, e-commerce, supply chain, and after-sales.
• Develop reliable finance data products covering EBITDA, cost of goods sold, intercompany pricing, inventory, and liquidity, including multi-currency logic and reconciliation with group consolidation systems.
• Model after-sales data at the individual watch level, enabling detailed reporting on repairs, service performance, and serial-number-based metrics.
• Build and release business applications on top of the data platform, including real-time executive dashboards and web and mobile applications for sales teams at the point of sale.
• Develop, deploy, and continuously improve machine learning models, including product image recognition and recommendations to identify watches with the highest sell-through potential at each point of sale.
• Lead root-cause analysis when figures differ between systems, communicate findings to Finance and business stakeholders, and drive data corrections at the source.
• Own the release lifecycle of data products and applications, including version control, code reviews, hotfixes, feature releases, application distribution, and user access management.
• Support system migrations and the decommissioning of legacy solutions, ensuring data accuracy through structured validation and reconciliation.
• Implement proactive data quality monitoring to maintain reliable data and minimize business impact.
• Evaluate and recommend new technologies and solutions, including AI-assisted development, to continuously improve our data and application landscape.

Ideal Candidate Profile

You will fit well into our squad if:

• You have at least 5 years of experience in data engineering, analytics engineering, or business intelligence, with hands-on experience delivering production-ready data products.
• You hold a Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• You have strong practical experience with Azure Databricks, including PySpark, SQL, Delta Lake, Unity Catalog, and Delta Live Tables.
• You have experience working with SAP data, ideally across SD, MM, FI/CO, and customer service, and integrating it with e-commerce, CRM, retail POS, and after-sales systems.
• You have delivered finance data products in a multi-entity, multi-currency environment, including FX conversion, cost price logic, and reconciliation with consolidation platforms such as CCH Tagetik, SAP BPC, or OneStream.
• You have built and deployed business applications for end users, including web and mobile front ends, APIs, and application distribution through app stores or enterprise device management.
• You have developed and operationalized machine learning models, from training data and deployment to ongoing monitoring.
• You have experience delivering near real-time data to applications and dashboards.
• You have strong programming skills in Python and SQL and are comfortable working with Git-based development and release processes.
• You can translate business needs into reliable technical solutions and communicate effectively with non-technical stakeholders, including senior leadership.
• You speak English fluently.

Preferred Qualifications

It would be an advantage if:

• You have in-depth knowledge of the luxury watch or retail industry.
• You have experience working in a multi-brand group.
• You have experience with Power BI semantic models and reports.
• You are familiar with cross-border or headless e-commerce platforms.

Your New Employer

At Breitling, we encourage everyone to bring authenticity to work and contribute to our mission of redefining luxury. We prioritize the well-being of our employees by fostering an environment of diversity, equity, and inclusion, where every voice is heard and valued.

Our Benefits Include:

• Work from home (depending on position requirements)
• Watch to wear / watch to buy program
• Referral program
• Development opportunities
• Maternity leave (18 weeks)
• Culture of feedback

Our Values

At Breitling, we are... EPIC!

• Entrepreneurship: We take ownership, act with agility, and dare to challenge the status quo.
• Performance: We strive for excellence and deliver with impact, precision, and passion.
• Innovation: We embrace creativity and continuously push boundaries to shape the future.
• Care: We look after our people, our clients, and our planet, with respect and responsibility.

Join Our #Squad

Want to take on this mission and join our #Squad? Apply online using the form below.

Note: Only applications matching the job profile will be considered.

We value diversity and are committed to fostering an inclusive environment that reflects the excellence and refinement that define our brand. We welcome applications from all backgrounds, regardless of race, gender, age, sexual orientation, disability, or any other protected characteristic. We invite candidates from all walks of life to share their applications to join our Squad, where inclusion is at the heart of our vision of elegance and prestige.

Please note that the use of protective equipment is required for certain roles to maintain the highest standards of safety and precision during operations in our workshops.