Lead Data Engineer

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

• 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