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

1. Lead & Grow the Team

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.

2. Own Data Platform Reliability & Foundations

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.

3. Drive Platform Enablement & Efficiency

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.

4. Enable AI & Future Innovation

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.

5. Contribute to Technical Direction

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.

Who You Are

People Leader: You enjoy growing engineers and building strong, autonomous teams.
Technical Anchor: You have a strong data engineering background and can guide technical decisions.
Pragmatic: You focus on impact, scalability, and maintainability over complexity.
Collaborative: You work effectively across teams and value shared ownership.
Product & User-Oriented: You care about the experience of internal users (Data Scientists, Analysts, Engineers).
Forward-Thinking: You are curious about the evolution of data platforms, AI, and modern data ecosystems.

Your Skills

We know you may not have experience with every tool listed below. Strong fundamentals and leadership matter most.

Core Engineering & Data

Strong experience with Python and SQL
Solid experience with distributed data processing (Spark, Kafka)

Platform & Infrastructure

Experience with workflow orchestration (Airflow)
Familiarity with AWS, Docker, Kubernetes
Experience working with modern data stacks (e.g., Snowflake, dbt)

Leadership

Previous experience managing or mentoring engineers
Ability to drive technical decisions and prioritize effectively

MLOps & AI (plus)

Experience with ML pipelines and tools (MLflow, SageMaker)
Exposure to LLM/GenAI infrastructure (e.g., Vector DBs, Bedrock)

Nice-to-Haves

Experience building internal data platforms
Familiarity with Infrastructure as Code (Terraform)
Exposure to FinOps and cost optimization practices

Tech Stack

Python, Spark, Kafka, Airflow, Kubernetes, Snowflake, and modern ML platform tools (e.g., MLflow, SageMaker)

What We Offer

Purpose-driven work at scale
Join a company reshaping the fashion industry towards circularity, you directly contributes to reducing waste and extending the life of luxury items.
High-impact scope & ownership
Work on products used globally, where your decisions have immediate, measurable impact on millions of users across 70+ countries.
A truly international environment
Collaborate with a diverse team of 50+ nationalities across Paris, London, Berlin, New York, Singapore, and Ho Chi Minh City.
Career acceleration in a fast-moving scale-up
Take ownership early, grow fast, and shape your path, as an expert or a future leader.
Learning & growth as a priority
Dedicated budget, continuous feedback culture, and opportunities to work on cutting-edge topics (AI, marketplace dynamics, scalability, etc.).
Flexible ways of working
Hybrid model (typically 2 days remote per week), with trust and autonomy at the core of how we operate.
Give back through action
2 paid days per year to support a cause of your choice and actively contribute to positive impact beyond your day-to-day role.
Competitive compensation & benefits
Including bonus, health coverage, lunch vouchers, Gym-Pass, and additional legal perks depending on your location.

Research shows that candidates from underrepresented backgrounds including women, people with disabilities, and other marginalized communities, are less likely to apply unless they meet 100% of the criteria.

At Vestiaire Collective, we believe diversity drives better decisions, stronger products, and more meaningful impact.
If this role excites you but your experience doesn’t align perfectly, we still encourage you to apply, your perspective could be exactly what we’re looking for.

Vestiaire Collective is proud to be an equal opportunity employer.

PS: We take candidate experience seriously, and your safety too !

Vestiaire Collective will only contact you through official email addresses ending in @vestiairecollective.com or [email protected].
We will never:

Contact you via WhatsApp, Telegram, or similar platforms
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