Senior Data & AI Product Engineer (f/m/x)

Breitling; Grenchen; Remote; CHF 150.000 - 190.000; Vollzeit

Benefits dieser Stelle

Work from home

Watch-to-wear program

Referral program

Development opportunities

Maternity leave 18 weeks

Culture of feedback

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Python

SQL

Data pipelines

Machine learning

Stakeholder comms

English fluency

Ausbildung

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

Tools

Azure Databricks

SAP data integration

Jobbeschreibung

Senior Data & AI Product Engineer (f/m/x) Job Description

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.

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

In this role, you will design, build and operate the data products, AI models and business applications that help steer our business, from finance and supply chain to point of sale and after-sales service. Combining data engineering, application development and machine learning, you will take end-to-end ownership of your products, from source systems to the people who rely on them every day.

Your contribution:

• 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.

You will fit well to 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 operationalised 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.

It would be an advantage if:

• You have 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.

• 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 true authenticity to work and contribute to our shared mission to redefine 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.

We believe that happy, healthy employees are the key to success, which is why we offer competitive benefits, including:

• 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:

• 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.

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 allwalks of lifeto 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 isrequiredfor certain roles tomaintainthe highest standards of safety and precision during operations in our workshops.

© 2024 Breitling, All rights reserved.