Job description
Data Engineering Manager - Berlin
Company 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, 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.
Job Summary
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. 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.
Key Responsibilities
- Lead & Grow the Team: Manage and support a team of 2 to 3 senior Data Engineers, providing regular feedback, coaching, and career development.
- 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.
- 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.
- 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.
- 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.
Requirements / Qualifications
- Strong experience with Python and SQL
- Solid experience with distributed data processing (Spark, Kafka)
- Experience with workflow orchestration (Airflow)
- Familiarity with AWS, Docker, Kubernetes
- Experience working with modern data stacks (e.g., Snowflake, dbt)
- Previous experience managing or mentoring engineers
- Ability to drive technical decisions and prioritize effectively
Preferred Qualifications
- Experience with ML pipelines and tools (MLflow, SageMaker)
- Exposure to LLM/GenAI infrastructure (e.g., Vector DBs, Bedrock)
- Experience building internal data platforms
- Familiarity with Infrastructure as Code (Terraform)
- Exposure to FinOps and cost optimization practices
Location
Berlin, Berlin, Germany
Employment Type
Full Time
Salary & Benefits
- Competitive compensation & benefits including bonus, health coverage, lunch vouchers, Gym-Pass, and additional legal perks
- Hybrid model (typically 2 days remote per week)
- 2 paid days per year to support a cause of your choice
- Professional development budget and continuous feedback culture
Equal Opportunity Statement
Vestiaire Collective is proud to be an equal opportunity employer. We believe diversity drives better decisions, stronger products, and more meaningful impact.
