Data Engineering Manager H/F

Mouratoglou performance depends directly on its ability to activate the right offer, at the right time, with the right customers (targeted marketing campaigns, CRM follow-ups, dynamic pricing), and therefore on the data platform's ability to deliver this 360° customer view. The group is a multi-BU company that has invested in building a cloud data platform (GCP, Dagster, BigQuery, dbt) and a dedicated team. Beyond standard activity reporting, the group's BUs aim to optimise their marketing and operational activations based on demand forecasts, part of this activity being weather-sensitive. Mouratoglou is looking for a new hands-on, business-oriented Data Engineering Manager (F/M). You will report directly to the Director of Software Engineering, within the IT Department, and lead the Data team. Your

responsibilities:
· Understand the business needs of the various BUs, translate them into data models and solutions, and deliver the expected operational reporting in short iterations (revenue, occupancy, customer 360, marketing, weather...)
· Structure Data project management (prioritisation, planning, budget, deliveries), report on progress to the IT Department and the business, and support business users in adopting the new reporting in place of manual Excel files
· Take over and strengthen the existing platform and business data model (data warehouse, dbt models, documentation, data quality and observability) based on modelling standards, and build and maintain a use-case-oriented data catalogue to make data usable by AI (AI-ready data)
· Ensure GDPR compliance of data processing by design (unified customer repository covering 2.5M contacts), together with the IT Department and the Legal team
· Manage the Data team (3 people: 2 data analysts and 1 data engineer) and coordinate with the IT Department on the platform's infrastructure and production-readiness
- A modern platform already in place (GCP, BigQuery, dbt, Dagster) that you take over and own: architecture, priorities, standards
- An existing setup to consolidate and priorities that evolve with the business: plenty of room for quick, visible impact
- Direct dialogue with non-technical operational teams across several BUs
- Experience in a multi-BU or retail/e-commerce environment, with a track record of delivering business reporting in short iterations
- Experience in a business built on capacity management/yield and/or a weather-sensitive activity
- Data visualisation/BI experience, enough to build and maintain reliable business dashboards yourself on an in-house reporting tool
- Awareness of GDPR and data processing compliance
- Active day-to-day use of AI tools and keeping up to date with developments in this technology
- A competitive salary
- Comprehensive and attractive health insurance
- Free access to the group's sports facilities
- Preferential rates on some of the group's activities You have solid technical experience in data and you know how to build good relationships with the BUs. More specifically, you have:
- strong data modelling skills and the ability to keep models scalable and accurate
- the ability to take over an existing technical stack (dbt/BigQuery/GCP) rather than starting from scratch, and to identify its technical debt
- hands-on analytics engineering and data engineering

experience:
orchestration, data quality and observability
- strong business sense and pragmatism: the ability to work with non-technical operational teams (marketing, sales, finance), understand their challenges before modelling, and prioritise by business use, aiming for quick wins rather than an exhaustive or IT-centric approach
- direct people management experience and the ability to coordinate across the IT Department and the BUs