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

Your contribution:

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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.

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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.

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You will model after-sales data at individual watch level, enabling detailed reporting on repairs, service performance and serial-number-based metrics.

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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.

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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.

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You will lead root-cause analysis when figures differ between systems, communicate findings to Finance and business stakeholders, and drive data corrections at source.

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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.

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You will support system migrations and the decommissioning of legacy solutions, ensuring data accuracy through structured validation and reconciliation.

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You will implement proactive data quality monitoring to maintain reliable data and minimise business impact.

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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:

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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.

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

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You have strong practical experience with Azure Databricks, including PySpark, SQL, Delta Lake, Unity Catalog and Delta Live Tables.

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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.

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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.

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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.

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You have developed and operationalised machine learning models, from training data and deployment to ongoing monitoring.

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You have experience delivering near real-time data to applications and dashboards.

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You have strong programming skills in Python and SQL and are comfortable working with Git-based development and release processes.

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You can translate business needs into reliable technical solutions and communicate effectively with non-technical stakeholders, including senior leadership.

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You speak English fluently.

It would be an advantage if:

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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.

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You have experience working in a multi-brand group.

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You have experience with Power BI semantic models and reports.

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You are familiar with cross-border or headless e-commerce platforms.