Senior Analytics Engineer

The role

You will model raw data into reliable, scalable data products that support business decisions across Product, Marketing, CRM, Finance, Operations and other teams. You will own and evolve data pipelines and analytical data products using dbt, Snowflake and Airflow.

What you will do

• Design, build and maintain scalable data pipelines and reusable analytical data products using dbt, Snowflake and Airflow.
• Transform complex raw data into structured, reliable, documented and tested data models.
• Own analytical data products from design through delivery, improvement and retirement.
• Contribute to CI/CD, orchestration, monitoring, deployment and tooling upgrades, with Data Platform Engineering.
• Work with Finance, Operations, Commercial, Marketing, CRM, Product and other teams to turn business needs into 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 Analytics Engineering best practices and a culture of quality, testing and documentation.

Required qualifications

• 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 ETL, ELT or reverse ETL pipelines.
• Strong SQL and data transformation skills (dbt), including complex, modular, reusable data models.
• Experience with Snowflake, BigQuery, PostgreSQL or another modern data warehouse.
• Experience with Airflow or a comparable orchestration tool.
• Experience using Python for data processing, workflow automation or data tooling.
• Experience with version control (GitHub), CI/CD, automated testing, monitoring and observability.
• Ability to work autonomously and take accountability for data products beyond delivery.
• Ability to make and clearly communicate technical decisions and trade-offs.
• Strong communication skills with technical and non-technical stakeholders.
• Strong problem-solving mindset and commitment to engineering quality.

Nice to have

• Prior exposure to e-commerce platforms, two-sided marketplaces or high-volume AdTech ecosystems.
• Practical experience or strong interest in applying AI-assisted engineering tools to data development.

Benefits

• Purpose-driven work reshaping the fashion industry towards circularity.
• High-impact scope and ownership on products used globally.
• International environment with 50+ nationalities.
• Career acceleration in a fast-moving scale-up.
• Dedicated learning budget and continuous feedback culture.
• Flexible hybrid ways of working with autonomy.
• 2 paid days per year to support a cause of your choice.
• Bonus, health coverage, lunch vouchers, Gym-Pass and additional legal perks depending on location.

Before you apply

• The posting says candidates can apply even if they do not meet every criterion.
• Hiring is handled through official company email addresses; the company says it will never contact candidates via WhatsApp or Telegram or ask for payment or banking details.

About the company

Vestiaire Collective is a global marketplace for pre-loved fashion, founded in Paris in 2009, with a team of around 600 people from over 50 nationalities. It aims to make circular fashion the norm.