Data Engineering Manager - Paris

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.

What You’ll Do

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

Who You Are

• Strong fundamentals and leadership matter most.

Your Skills

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

Equal Opportunity Statement

Vestiaire Collective is proud to be an equal opportunity employer.