Lead Data Engineer Jean-Michel.io

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.

Technical Leadership

• 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

Project Planning & Delivery

• 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

People & Team Leadership

• 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

Profondément ancrés dans les domaines de la cybersécurité, du big data, du cloud, nous aidons les entreprises à identifier et à recruter les jeunes talents et les équipes de travail spécialisés dont elles ont besoin pour réussir leur transformation numérique. Avec une expertise pointue dans ces secteurs clés, nous comprenons les défis spécifiques auxquels nos clients font face.