Lead Engineer/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