Senior Data & AI Product Engineer (f/m/x)
Breitling SA6 days ago
Grenchen, SwitzerlandSenior
Responsibilities
- Design, build, and operate data pipelines and products on Azure Databricks using SAP and non-SAP sources.
- Develop finance data products covering EBITDA, cost of goods sold, intercompany pricing, inventory, liquidity, foreign exchange conversion, and reconciliation.
- Model after-sales data at the individual watch level for repair, service performance, and serial-number reporting.
- Build and release executive dashboards and web and mobile applications for sales teams at the point of sale.
- Develop, deploy, monitor, and improve machine learning models for product image recognition and watch recommendations.
- Lead root-cause analysis for discrepancies between systems and drive data corrections with Finance and business stakeholders.
- Own version control, code reviews, hotfixes, feature releases, application distribution, and user access management.
- Support system migrations and legacy-solution decommissioning through structured validation and reconciliation.
- Implement proactive data-quality monitoring and evaluate new technologies, including AI-assisted development.
Requirements
- At least 5 years of experience in data engineering, analytics engineering, or business intelligence delivering 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, PySpark, SQL, Delta Lake, Unity Catalog, and Delta Live Tables.
- Experience working with SAP data across areas such as SD, MM, FI/CO, and customer service, integrated with e-commerce, CRM, retail POS, and after-sales systems.
- Experience delivering multi-entity, multi-currency finance data products, including FX conversion, cost-price logic, and reconciliation with CCH Tagetik, SAP BPC, or OneStream.
- Experience building and deploying business applications with web and mobile front ends, APIs, and app-store or enterprise-device distribution.
- Experience developing and operationalizing machine learning models from training data through deployment and ongoing monitoring.
- Experience delivering near-real-time data to applications and dashboards.
- Strong Python and SQL programming skills and familiarity with Git-based development and release processes.
- Ability to translate business needs into reliable technical solutions and communicate with non-technical stakeholders and senior leadership.
- Fluent English communication skills.
- Luxury watch or retail industry knowledge, multi-brand group experience, Power BI semantic model and report experience, and cross-border or headless e-commerce experience are advantageous.
Benefits
- Work-from-home options depending on position requirements.
- Watch-to-wear and watch-to-buy program.
- Referral program.
- Development opportunities.
- 18 weeks of maternity leave.
- Culture of feedback.
Categories
Data EngineeringML Engineering
About Breitling SA
Breitling SA designs, manufactures, and sells Swiss luxury watches and chronographs for enthusiasts and professionals in aviation, diving, and everyday wear. It uses a direct-to-consumer and wholesale model via global boutiques, e-commerce, and authorized retailers. Founded in 1884 and headquartered in Grenchen, Switzerland, Breitling is privately held, with Partners Group as the majority shareholder since 2022.