Vestiairecollective24d ago

Data Engineering Manager - Paris

Paris · Paris. · ParisPermanent contractmid

EngineeringOtherData EngineeringManagementEngineering ManagerData Engineering Manager

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Overview

Vestiaire Collective is the leading global platform for desirable pre-loved fashion and a pioneer in transforming how people consume fashion. Our mission is simple: make circular fashion the norm,

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EngineeringOtherData EngineeringManagementEngineering ManagerData Engineering Manager

Vestiaire Collective is the leading global platform for desirable pre-loved fashion and a pioneer in transforming how people consume fashion.

Our mission is simple: make circular fashion the norm, not the exception.
Through technology, expertise, and a highly engaged global community, we enable millions of people to buy and sell fashion in a more sustainable way.

Founded in Paris in 2009, Vestiaire Collective is now a globally scaled marketplace with offices in Paris, London, Berlin, New York, Singapore, and Ho Chi Minh City, and logistics hubs across Europe, Asia, and the US.

Today, we are a team of around 600 people from over 50 nationalities, united by a shared ambition: to drive meaningful change in the fashion industry.

Our values, Activism, Transparency, Dedication, Greatness, and Collective, shape how we build, collaborate, and grow every day.

About the Role

You will join the Data Platform team at Vestiaire Collective as an Engineering Manager, leading a team of 2 to 3 Senior Data Engineers.

We are a lean, collaborative team responsible for the ingestion, transformation, and ML infrastructure that powers the entire organization.

Our strategy is built on three pillars: Governance Excellence, Platform Enablement, and AI Innovation. We have built a strong self-serve foundation, and we are now entering the next phase of our journey: scaling our platform, improving efficiency, and preparing our infrastructure for the future of AI.

In this role, you will combine people leadership, technical direction, and delivery ownership. You will support your team’s growth while ensuring we build a robust, scalable, and future-ready data platform.

What You’ll Do

Manage and support a team of 2 to 3 senior Data Engineers, providing regular feedback, coaching, and career development.
Foster a collaborative, high-performing, and accountable team environment.
Ensure strong ownership, clarity of priorities, and high engineering standards.

Drive the reliability, scalability, and evolution of our core data infrastructure (Spark, Kafka, transformation layers).
Define and enforce best practices around data quality, observability, and monitoring.
Ensure the platform remains trusted, stable, and scalable as usage grows.

Lead initiatives to improve performance and optimize costs (FinOps mindset).
Own the evolution of orchestration tools (Airflow) and ensure a smooth developer experience for data consumers.
Partner with Analytics Engineers and Data Scientists to continuously improve the platform’s usability.

Define and support the infrastructure strategy for AI and ML use cases.
Enable scalable solutions for ML workflows, model deployment, and LLM integration.
Anticipate future needs and ensure the platform is ready for AI-driven products and operations.

Guide architectural decisions and ensure pragmatic, maintainable solutions.
Stay close to the tech: participate in design discussions and support complex problem-solving.
Act as a bridge between engineering, data, and product stakeholders.