KERING DATA Tech Lead

Overview

In this role you will enable and coordinate data engineering and analytics efforts across multiple domains. You will align Tech Leads, architects and product partners with the chapter vision and group strategy. You’ll focus on harmonizing engineering practices, governance and delivery quality while managing transversal initiatives. This is a hands-on leadership role that shapes how analytics scale across domains, countries and brands, driving technical excellence and delivery impact.

Responsabilità

Act as a facilitator of communication between Tech Leads across domains

Centralize priorities, dependencies, and risks to ensure shared understanding

Harmonize engineering and analytics practices across domains

Promote standards for code quality, data engineering, observability, documentation, and delivery

Support architecture governance and platform guidelines

Follow up on transversal initiatives (foundations, tooling, quality improvements) and escalate blockers

Provide cross-domain coordination to keep business priorities aligned with engineering work

Support Tech Leads to grow as technical leaders and foster knowledge sharing and ownership

Requisiti fondamentali

Proven experience as Tech Lead, Senior Engineer, or Engineering Manager in data or software engineering

Strong understanding of data engineering and analytics concepts, platforms, and delivery constraints

Ability to coordinate across teams and domains without hierarchical authority

Excellent communication and facilitation skills

Knowledge of data concepts and cloud technologies (data lake, data warehouse, Data Mesh)

Proficient in SQL, ETL/ELT development, data modeling and databases (Oracle, Big

Query)

Strong knowledge of GCP data services (Big

Query, Cloud Storage, Airflow)

DBT expertise; Agile@scale experience; Jira/Confluence familiarity

Organized, proactive with ownership; empathetic and collaborative

Fluent in English and Italian

Empathy

Collaborative mindset

Strong communication

SQL

ETL/ELT development

Data modeling