Opportunité exclusive
Lead Data Engineer to own and drive the Consumer Data Hub (CDH), a unified consumer data platform across 10+ countries and tens of millions of profiles, enabling marketing activation, advanced analytics, forecasting and Agentic AI capabilities.
You'll lead a team of 4 data engineers while staying deeply technical — designing systems, planning roadmaps, and partnering with cross-functional stakeholders to translate business needs into scalable solutions. This role requires mastering the balance between being a doer and being a leader.
Drive the project's architecture, technical direction, and long-term vision
Write production code in Python, SQL, and dbt — maintaining hands-on engineering skills
Ensure technical coherence across components; identify and resolve performance, scalability, and technical debt issues
Establish data quality standards, observability, and monitoring practices
Ensure the platform is compliant and respect GDPR regulations
Own the project plan by quarter: break work into deliverables, maximize parallel execution, and adjust as new information emerges
Collect and synthesize requirements from engineering and non-engineering partners; translate them into a prioritized roadmap
Identify unknowns early, assess technical risks, and communicate them proactively
Establish metrics and KPIs to monitor project health and back decisions with data
Lead and mentor 4 data engineers — grow their skills, unblock their work, and delegate effectively
Represent the team externally: communicate needs upward and share context back
Foster a culture of ownership, excellence, and continuous improvement
7+ years of data engineering experience, including senior/lead responsibilities. Expert-level knowledge required in core technologies and platforms.
Expert-level SQL, Python, and dbt
Strong architecture and system design skills for complex data platforms
Production experience with Snowflake and Azure cloud services
Data regulation experience (GDPR)
Git, CI/CD pipelines (GitHub Actions); Docker and Kubernetes; job orchestration (Airflow)
Data modeling expertise (star schema, dimensional modeling, normalization); observability and monitoring (Grafana Stack); Infrastructure as Code (Terraform)
Fluent in English
Hybrid work model
Join a high-achieving, autonomous team with a culture of technical excellence and mutual respect
Work at scale on a consumer data platform used across 10+ countries and handling tens of millions of profiles
Opportunity to expand Agentic AI capabilities and work with modern data tooling