Data Engineer
Chemin de la Chênaie 50, 1293 Bellevue · Luxusgüter · Aktiengesellschaft · 19k+ · Deutsch
Wer wir sind
Richemont, einer der weltweit führenden Hersteller im Luxussektor, verfügt über mehrere Häuser, die auf Schmuck, Uhren und hochwertige Accessoires spezialisiert sind. Jedes Haus verkörpert stolz eine Tradition aus Stil, Qualität und Handwerkskunst und Richemont ist bestrebt, das jedem Haus eigene Erbe und die Identität zu bewahren. Gleichzeitig sind wir bestrebt, durch einen Prozess permanenter Kreativität Innovationen zu entwickeln und neue Produkte im Einklang mit den Werten unserer Häuser zu entwerfen.
KEY RESPONSIBILITIES
Report Development and Maintenance for the MCCs
- Analytics with Looker: Configure and maintain dashboards and visualizations in Looker, translating complex business needs into actionable KPIs. Train users on how to make the best use of the platform.
- Data Modeling and Transformation: Design and implement data marts while applying development best practices, including Git and version control.
- Pipeline Engineering: Support the development and maintenance of ETL/ELT pipelines using Airbyte, ensuring seamless data ingestion into BigQuery from SQL tables and flat files.
- Documentation: Maintain and document data lineage, ensuring that Looker remains a single source of truth for the organization.
- Monitor model consistency across the MCCs to leverage shared efforts, ensure business continuity in the event of blockers, and maintain report performance.
- Traffic and Performance Management: Ensure that models deployed by the MCCs perform effectively and meet Group expectations regarding cost and data consumption.
- Platform Operations: Monitor the health of the data platform, implement integrity checks, resolve data quality issues, and apply data governance and access controls in line with Group strategy, including Monte-Carlo.
- Knowledge Sharing Across Entities: Act as a key point of contact to promote the exchange of best practices across entities for the benefit of the Group and the MCCs.
- AI-Related Technology Developments: Serve as the primary contact for developing, evolving, and integrating artificial intelligence solutions within the Group’s analytics tools.
- Project Management Experience: Demonstrate proven ability to lead complex projects and manage priorities while collaborating effectively with a broad range of stakeholders, including IT, manufacturing, and business teams.
HOW WILL YOU EXPERIENCE SUCCESS WITH US?
- You hold a Master's degree in computer science, Data Engineering, or a related scientific field, and have more than five years of experience in data engineering or analytics engineering.
- You have expert command of SQL and Looker, including LookML, and know how to build sophisticated dashboards and the data transformation layers that power them.
- You have an in-depth understanding of Google Cloud Platform, including BigQuery, and master best practices in development and database management.
- You can assess AI tool proposals put forward by the Group, contribute to their deployment within our industrial scope, and ensure their appropriate use in accordance with compliance and cybersecurity requirements.
- You enjoy working in a dynamic environment and delivering new features quickly for demanding business users, using an Agile operating model.
Fähigkeiten
ML / AIGehaltsspanne
Auf AnfrageDieser Arbeitgeber nennt die Gehaltsspanne im ersten Gespräch.
Kontakt
If your application is selected, we will reach out shortly for an introductory call. As part of the interview process, we always ensure complete insight and transparency. Namely, you will have the chance to meet people who will be crucial to your future success in the role.
