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About the Role
As a Senior Analytics Engineer, you will model raw datasets into clear, reliable, and scalable data products that power strategic decision-making. You will own and evolve data pipelines and analytical data products supporting various business teams, drive data reliability, elevate technical standards, and experiment with AI-assisted tools.
Responsibilities
- Design, build, and maintain scalable, high-performance data pipelines and reusable analytical data products using dbt, Snowflake, and Airflow.
- Transform complex raw data into structured, reliable, and accessible data models, supported by appropriate testing and documentation.
- Own analytical data products throughout their lifecycle, considering performance, maintainability, and cost.
- Contribute to the evolution of engineering foundations supporting Analytics Engineering, including CI/CD, orchestration, monitoring, deployment, and tooling version upgrades.
- Partner with various teams to translate business needs into clear, reliable, and scalable data solutions.
- Take ownership of projects from design through delivery and communicate technical decisions and trade-offs clearly.
- Explore and apply AI-assisted engineering tools across the data development lifecycle.
- Help define and embed Analytics Engineering best practices, fostering a culture of quality, ownership, documentation, testing, and continuous improvement.
Requirements
- 3-5 years of relevant experience in Analytics Engineering, Data Engineering, BI Engineering, or a similar role.
- Hands-on experience designing, deploying, and maintaining large-scale, efficient ETL, ELT, or reverse ETL pipelines.
- Strong SQL and data transformation skills (DBT), including complex transformations and modular, reusable data models.
- Experience with Snowflake, BigQuery, PostgreSQL, or another modern data warehouse, with awareness of performance and cost considerations.
- Experience with Airflow or a comparable tool for job orchestration, scheduling, and dependency management.
- Experience using Python for data processing, workflow automation, or developing data tooling.
- Experience with version controlling (GitHub), CI/CD, automated testing, monitoring, and observability.
- Ability to work autonomously, manage dependencies, and take accountability for data products and technical initiatives.
- Ability to make and clearly communicate technical decisions and trade-offs.
- Strong communication skills and the ability to work effectively with technical and non-technical stakeholders.
- Practical experience or strong interest in applying AI-assisted engineering tools to data development.
- Strong problem-solving mindset and commitment to engineering quality.
- Prior exposure to e-commerce platforms, two-sided marketplaces, or high-volume AdTech ecosystems is a plus.
Skills
- dbt
- Snowflake
- Airflow
- SQL
- Python
- GitHub
- CI/CD
- Automated testing
- Monitoring
- Observability
- AI-assisted engineering tools
Location
- Paris
- London
- Berlin
- New York
- Singapore
- Ho Chi Minh City
Work Type
- Hybrid
Experience Level
- Senior
Benefits
- Bonus
- Health coverage
- Lunch vouchers
- Gym-Pass
- Additional legal perks depending on your location
- 2 paid days per year to support a cause of your choice
About the Company
- 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.
Equal Opportunity
- 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.