Senior Data & AI Product Engineer: End-to-End Data Solutions

Breitling; Grenchen; Remote; CHF 150,000 - 190,000; Full time

Benefits offered by this job

Work from home

Watch-to-wear program

Referral program

Development opportunities

Maternity leave 18 weeks

Culture of feedback

Job summary

Breitling is seeking a Senior Data & AI Product Engineer in Grenchen, Switzerland, to own end-to-end data products and AI applications across finance, sales and after-sales. You will design data pipelines, model after-sales data and deploy real-time dashboards for leadership and store teams.

You will collaborate with Finance and IT to ensure data accuracy, multi-currency finance logic, and cross-system reconciliation.

Qualifications

• Minimum 5 years of experience in data engineering, analytics engineering or BI.
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems or related field.
• Strong practical experience with Azure Databricks, PySpark, SQL, Delta Lake, Unity Catalog and Delta Live Tables.
• Experience with SAP data across SD, MM, FI/CO and customer service, and integrating with e-commerce/CRM/retail/after-sales.
• Finance data products in multi-entity, multi-currency environments, including FX conversion and consolidation reconciliation.
• Built and deployed business applications for end users (web/mobile, APIs, app stores).
• Experience delivering near real-time data to applications and dashboards.
• Strong Python and SQL; Git-based development and release processes.
• Ability to translate business needs into reliable tech solutions; communicate with leadership.
• English fluent.

Responsibilities

• You will 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.
• You will 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.
• You will model after-sales data at individual watch level, enabling detailed reporting on repairs, service performance and serial-number-based metrics.
• You will 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.
• You will develop, deploy and continuously improve machine learning models, including product image recognition and recommendations to help identify watches with the highest sell-through potential at each point of sale.
• You will lead root-cause analysis when figures differ between systems, communicate findings to Finance and business stakeholders, and drive data corrections at source.
• You will own the release lifecycle of data products and applications, including version control, code reviews, hotfixes, feature releases, application distribution and user access management.
• You will support system migrations and the decommissioning of legacy solutions, ensuring data accuracy through structured validation and reconciliation.
• You will implement proactive data quality monitoring to maintain reliable data and minimise business impact.
• You will evaluate and recommend new technologies and solutions, including AI-assisted development, to continuously improve our data and application landscape.

Skills

Python

SQL

Data pipelines

Machine learning

Stakeholder comms

English fluency

Education

Bachelor’s or Master’s in CS/Data Eng/IS

Tools

Azure Databricks

SAP data integration

Job description

Breitling is seeking a Senior Data & AI Product Engineer in Grenchen, Switzerland, to own end-to-end data products and AI applications across finance, sales and after-sales. You will design data pipelines, model after-sales data and deploy real-time dashboards for leadership and store teams.

You will collaborate with Finance and IT to ensure data accuracy, multi-currency finance logic, and cross-system reconciliation.