Breitling Senior Data and AI Product Engineer

About Breitling

Founded in 1884 by Léon Breitling, Breitling is a Swiss watchmaker renowned for its precision chronographs and enduring ties to aviation. Headquartered in Grenchen, the brand combines a distinctive technical heritage with a contemporary approach to luxury, design and responsible business. As an employer, Breitling offers a professional environment spanning watchmaking, engineering, product development, marketing and international retail. Its global presence connects specialist expertise with diverse markets, while its identity remains rooted in Swiss craftsmanship and innovation. For professionals drawn to both mechanical excellence and brand transformation, Breitling represents an opportunity to contribute to the continuing evolution of an established watchmaking house.

Role & Responsibilities

• 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 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 individual-watch level to enable detailed reporting on repairs, service performance and serial-number-based metrics.
• Build and release business applications on the data platform, including real-time executive dashboards and web and mobile applications for point-of-sale sales teams.
• Develop, deploy and continuously improve machine learning models, including product image recognition and recommendations that 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 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 minimise business impact.
• Evaluate and recommend technologies and solutions, including AI-assisted development, to improve the data and application landscape.

Qualifications

• At least 5 years of experience in data engineering, analytics engineering or business intelligence, including hands-on delivery of production-ready data products.
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems or a related field.
• Strong practical experience with Azure Databricks, including PySpark, SQL, Delta Lake, Unity Catalog and Delta Live Tables.
• 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.
• Experience delivering 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.
• Experience building and deploying end-user business applications, including web and mobile front ends, APIs and application distribution through app stores or enterprise device management.
• Experience developing and operationalising machine learning models, from training data and deployment through ongoing monitoring.
• Experience delivering near real-time data to applications and dashboards.
• Ability to translate business needs into reliable technical solutions and communicate effectively with non-technical stakeholders, including senior leadership.
• Fluent English.
• Advantageous: in-depth knowledge of the luxury watch or retail industry, including wholesale and boutique channels, sell-in and sell-out, point-of-sale performance and after-sales service.
• Advantageous: experience working in a multi-brand group.
• Advantageous: experience with Power BI semantic models and reports.
• Advantageous: familiarity with cross-border or headless e-commerce platforms.

Skills

Experience

At least 5 years in data engineering, analytics engineering or business intelligence, including hands-on delivery of production-ready data products.

Education

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems or a related field.

Benefits

Work-from-home option depending on position requirements; watch-to-wear and watch-to-buy program; referral program; development opportunities; 18 weeks of maternity leave; culture of feedback.

Culture

Breitling’s workplace culture draws on its Swiss watchmaking heritage and close ties to aviation, placing precision, technical expertise and a pioneering spirit at the heart of its professional environment. The brand brings together craftsmanship and contemporary design, offering a distinctive setting for professionals who value both tradition and innovation in luxury watchmaking.

About Cerulean

Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.