Kering Data Engineer

About Kering

Kering is a global luxury group renowned for nurturing some of the world’s most influential Houses in fashion, leather goods, jewelry, and eyewear, including Gucci, Saint Laurent, Bottega Veneta, Balenciaga, and Boucheron. As an employer, Kering offers a distinctive environment where creative excellence, entrepreneurial spirit, and long-term sustainability converge. The Group empowers its talents to shape the future of luxury through innovation, craftsmanship, and responsible business practices. With an international culture grounded in diversity, inclusion, and shared ambition, Kering provides meaningful career opportunities for professionals seeking to contribute to exceptional brands while advancing a more sustainable and imaginative luxury industry.

Role & Responsibilities

• Design, develop, and operationalize governed and reusable data products in both batch and real-time processing modes, ensuring alignment with business requirements and delivery of optimal performance and scalability
• Implement and promote Data Engineering and Analytics Engineering standards, including data transformation, exposure, testing, and documentation, to harmonize practices across cross-functional teams
• Establish monitoring and control mechanisms to guarantee data accuracy, consistency, and completeness; investigate and resolve data incidents affecting the end-to-end processing pipeline
• Translate business needs into clearly owned and governed data products; work closely with Product Owners, Data Engineers, Data Platform Engineers, and Data Architects while actively participating in Agile ceremonies
• Contribute to cloud migration initiatives, maintain selected legacy systems, and reduce technical debt to enhance robustness and scalability of the data ecosystem
• Leverage AI tools (Claude Code, copilots, code-generation solutions) to accelerate development and analytical quality; define best practices and validation mechanisms for responsible AI adoption
• Participate in code reviews, maintain comprehensive technical documentation, and actively share knowledge to strengthen team capability and technical excellence
• Support the modernization of the Data Platform and continuous improvement of analytics pipelines to enhance organizational data maturity

Qualifications

• Master's degree or equivalent in Computer Science, Information Systems, or related field
• At least 3 years of experience in a similar Data Engineer or Analytics Engineering role with proven expertise in Data Management
• Strong proficiency in SQL and ELT/ETL practices with solid knowledge of Python and real-time data processing
• Expert-level understanding of OLAP and OLTP database architectures and analytical data modeling for business dataset design
• Comprehensive knowledge of Data Warehouse, Data Lake, and distributed data platform concepts including Data Mesh and Data Products architectures
• Significant hands-on experience with Google Cloud Platform environments, including BigQuery, Cloud Storage, Dataflow, and Composer/Airflow
• Proficiency in data integration, orchestration, and transformation tools; demonstrable experience with data testing frameworks (DBT expertise is a significant advantage)
• Working knowledge of data quality, monitoring, and observability best practices
• Familiarity with Infrastructure as Code (IaC), CI/CD pipelines, and automation frameworks
• Practical experience with production environments and ITIL processes (Incident, Problem, and Change Management)
• Strong analytical and problem-solving skills with meticulous attention to detail and critical-thinking capability
• Excellent communication and stakeholder engagement abilities, with capacity to articulate technical concepts to both technical and business audiences

Skills

Experience

You possess at least 3 years of professional experience in Data Engineering or Analytics Engineering roles, with demonstrated expertise in managing complex data platforms, designing scalable data architectures, and delivering governed data products in cross-functional international settings. Your background reflects proficiency in transforming raw data into actionable datasets, establishing data quality standards, and collaborating effectively across technical and business teams in rapidly evolving, transformation-driven environments.

Education

Master's degree or equivalent qualification in Computer Science, Information Systems, or a closely related technical discipline. Cloud or Data certifications are viewed as a valuable asset.

Workplace

Culture

Kering fosters a dynamic, purpose-driven culture where creativity, entrepreneurship, and collaboration support the distinct identities of its luxury Houses. As an employer, the Group places strong emphasis on sustainability, diversity, and talent development, encouraging people to innovate responsibly while contributing to the future of modern luxury.

About Cerulean

Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.