Data Engineering Manager

About The Role

Veuillez vous assurer de lire entièrement l'aperçu et les exigences pour cette opportunité d'emploi ci-dessous.

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

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• 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

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• Strong fundamentals and leadership matter most. xuezdbg
  

Your Skills
Core Engineering & Data

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

Platform & Infrastructure

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

Leadership

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

MLOps & AI (plus)

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

Nice-to-Haves

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• 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

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• 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,