Europe Arbeitnow ·
contractSenior Analytics Engineer
Vestiairecollective · Paris
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 : As a Senior Analytics Engineer, you will play a key role in our data ecosystem by modelling raw datasets into clear, reliable, and scalable data products that power strategic decision-making across the business. Embedded within the central Analytics Engineering team, you will own and evolve data pipelines and analytical data products that support teams across Product, Marketing, CRM, Finance, Operations, and other areas of the business. Beyond core development, you will drive data reliability, elevate our technical standards, and experiment with AI-assisted tools to streamline modern data workflows. What you will do: • 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, that enable decision-making across the organisation. • Own analytical data products throughout their lifecycle, from initial design and delivery through continuous improvement, evolution, and retirement, while considering performance, maintainability, and cost. • Contribute to the evolution of the engineering foundations supporting Analytics Engineering, including CI/CD, orchestration, monitoring, deployment, and tooling version upgrades, in collaboration with Data Platform Engineering. • Partner with Finance, Operations, Commercial, Marketing, CRM, Product, and other teams to translate business needs into clear, reliable, and scalable data solutions, applying technical judgement to clarify requirements and recommend effective approaches. • 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, including ingestion, transformation, testing, documentation, and deployment. • Help define and embed Analytics Engineering best practices, fostering a culture of quality, ownership, documentation, testing, and continuous improvement across the team. Who you are : • 3-5 years of relevant experience in Analytics Engineering, Data Engineering, BI Engineering, or a similar role, with 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 beyond their initial delivery. • 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. 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, Singa
| Role | Senior Analytics Engineer |
|---|---|
| Company | Vestiairecollective |
| Location | Paris |
| Type | contract |
| Compensation | Not disclosed |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4More at Vestiairecollective
Internships at Vestiairecollective
Explore Related Placements
// similar opportunities
You might also like
Senior Analytics Engineer
Dashlane
About Dashlane Dashlane’s mission is to deliver the credential security every business and employee needs to thrive. Millions of consumers, and over 25,000 bran...
Senior Analytics Engineer
Asana
Senior Analytics Engineer The Data Science & Analytics team at Asana is how the company turns data into decisions — defining the questions that matter, surfacin...
Analytics Engineer
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the intern...
Senior Analytics Engineer
Mercury
In 1989, Tim Berners-Lee wrote a proposal for CERN. CERN lost knowledge when people left, because its information was in many systems that did not connect. His ...
Senior Analytics Engineer
Materialbank
Material Bank is the world’s largest material marketplace for the architecture and design industry. Operating in 37 countries, our platform has become the stand...
Senior Analytics Engineer
Deliveroo
Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may co...