Universal Genève
CRM & Client Engagement Intern (m/w/x)
VollzeitPraktikummit Homeoffice
Meyrin, Genf, Zürich, Grenchen
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Dein persönlicher KI-Karriere-Agent
BRBreitling
Senior Data & AI Product Engineer (m/w/x)
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Building finance and after-sales data products on Azure Databricks, integrating SAP and non-SAP sources. Production-ready data product delivery experience required. Work from home, 18 weeks maternity leave.
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Anforderungen
- At least 5 years of experience in data engineering, analytics engineering, or business intelligence
- Hands-on experience delivering production-ready data products
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field
- Strong practical experience with Azure Databricks
- Experience with PySpark, SQL, Delta Lake, Unity Catalog, and Delta Live Tables
- Experience working with SAP data (SD, MM, FI/CO, customer service)
- Experience integrating SAP data with e-commerce, CRM, retail POS, and after-sales systems
- Delivered finance data products in multi-entity, multi-currency environment
- Experience with FX conversion, cost price logic, and reconciliation
- Experience with consolidation platforms (CCH Tagetik, SAP BPC, OneStream)
- Built and deployed business applications for end users
- Experience with web and mobile front ends, APIs, and application distribution
- Developed and operationalised machine learning models
- Experience delivering near real-time data to applications and dashboards
- Strong programming skills in Python and SQL
- Comfortable working with Git-based development and release processes
- Translate business needs into reliable technical solutions
- Effective communication with non-technical stakeholders
- Fluent English
- In-depth knowledge of luxury watch or retail industry
- Knowledge of wholesale and boutique channels, sell-in and sell-out, POS performance, after-sales service
- Experience working in a multi-brand group
- Experience with Power BI semantic models and reports
- Familiarity with cross-border or headless e-commerce platforms
Aufgaben
- Design, build, and operate data pipelines and products on Azure Databricks
- Integrate SAP and non-SAP sources across finance, sales, e-commerce, supply chain, and after-sales
- Develop reliable finance data products covering EBITDA, cost of goods sold, intercompany pricing, inventory, and liquidity
- Implement multi-currency logic and reconciliation with group consolidation systems
- Model after-sales data at individual watch level
- Enable detailed reporting on repairs, service performance, and serial-number-based metrics
- Build and release business applications on top of the data platform
- Create real-time executive dashboards
- Develop web and mobile applications for sales teams at the point of sale
- Develop, deploy, and continuously improve machine learning models
- Implement product image recognition and recommendations
- 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
- Drive data corrections at source
- Own the release lifecycle of data products and applications
- Manage version control, code reviews, hotfixes, and feature releases
- Manage application distribution and user access
- Support system migrations and decommissioning of legacy solutions
- Ensure data accuracy through structured validation and reconciliation
- Implement proactive data quality monitoring
- Maintain reliable data and minimize business impact
- Evaluate and recommend new technologies and solutions
- Implement AI-assisted development to improve data and application landscape
Berufserfahrung
5 Jahre
Ausbildung
Master-Abschluss
Sprachen
Englisch – fließend
Tools & Technologien
Azure DatabricksPySparkSQLDelta LakeUnity CatalogDelta Live TablesSAPe-commerceCRMretail POSCCH TagetikSAP BPCOneStreamPythonGitPower BI
Benefits
Flexibles Arbeiten
- Work from home
Sonstige Vorteile
- Watch to wear/buy program
Boni & Prämien
- Referral program
Weiterbildungsangebote
- Development opportunities
Großzügige Elternzeit
- 18 weeks maternity leave
Lockere Unternehmenskultur
- Culture of feedback
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens Breitling erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei BreitlingÜber das Unternehmen
BR
ManufacturingGrenchen
The company is dedicated to reshaping watchmaking with a legacy since 1884, focusing on crafting timepieces that embody casual elegance and sustainability.
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