Kering DATA Tech Lead
About Kering
Kering is a global, family-led luxury group that houses multiple high-end fashion, leather goods, jewelry and beauty maisons. Kering places strategic emphasis on creativity, craftsmanship and sustainability while investing in technology and digital capabilities through Kering Technologies to support its brands and accelerate innovation.
Kering Technologies seeks a DATA Tech Lead in Scandicci, Italy to coordinate analytics engineering across domains and drive best practices.
Role & Responsibilities
- Facilitate communication and synchronization between Tech Leads and squads across multiple data domains to ensure shared understanding of priorities, dependencies and risks.
- Drive harmonization of engineering and analytics practices, promoting chapter-wide standards for code quality, observability, documentation and delivery.
- Coordinate and follow up on transversal initiatives (engineering foundations, tooling, quality improvements), monitoring progress and escalating risks to chapter leadership.
- Centralize and consolidate cross-squad information to provide clear visibility to leadership and to align engineering execution with business priorities.
- Enable people and leadership development by supporting Tech Leads, fostering a community of Analytics Engineering, and encouraging knowledge sharing and continuous improvement.
Qualifications
- Proven experience as a Tech Lead, Senior Engineer, or Engineering Manager within data or software engineering environments.
- Deep understanding of data engineering and analytics concepts, including datalake, data warehouse and distributed data platform patterns (Data Mesh).
- Proficiency in SQL, ETL/ELT development, data modeling and working with databases such as Oracle and BigQuery.
- Strong expertise in GCP data services (BigQuery, Cloud Storage, Airflow) and hands‑on experience with DBT.
- Demonstrated ability to coordinate across teams and domains without hierarchical authority; excellent communication and facilitation skills.
- Experience in agile@scale environments and familiarity with Jira and Confluence.
- Fluency in English and Italian; organized, proactive, empathetic and comfortable in a leadership posture.
Skills
Experience
Proven track record as a Tech Lead, Senior Engineer, or Engineering Manager in data or software engineering contexts, with experience coordinating cross-team delivery, managing dependencies and working in agile@scale environments.
Education
Bachelor's degree in Computer Science, Engineering, Data Science or a related field, or equivalent professional experience.
Workplace
This position is based in Scandicci, Tuscany, Italy, within easy reach of Florence.
Culture
Kering Technologies combines the heritage and craftsmanship of a luxury group with a modern technology-driven mindset. The environment values cross-disciplinary collaboration, talent development and internal mobility, with an emphasis on technical excellence, sustainability and continuous learning.
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.
Frequently Asked Questions
The luxury industry is characterised by a diverse and nuanced nomenclature. Esteemed houses frequently employ proprietary terminology, and even within a single organisation like Kering, titles may vary across global markets to reflect local conventions. To ensure absolute clarity, Cerulean assigns a standardised, industry-coherent canonical title to every listing. However, it is worth noting that this role is functionally synonymous with «Analytics Engineering Tech Lead», «Data Platform Tech Lead», «Cross‑Domain Data Lead», «Senior Data Engineering Lead», «Data Engineering Chapter Lead», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.