Senior Analytics Engineer: Scale Data Pipelines & AI

Vestiaire Collective group; Paris (TX); Hybrid; USD 140.000 - 210.000; Vollzeit

Benefits dieser Stelle

Bonus

Health coverage

Lunch vouchers

Gym-Pass

Legal perks (location-based)

Zusammenfassung

Vestiaire Collective is seeking a Senior Analytics Engineer to translate raw data into reliable, scalable data products powering decision making across product, marketing, CRM, and finance. You will own pipelines and analytical models, emphasize testing, documentation, and cost-aware design, and drive AI-assisted tooling to modernize data workflows.

Embedded in the Analytics Engineering team, you will collaborate across functions to translate business needs into robust data solutions, advance

Qualifikationen

• 3–5 years in Analytics/BI engineering role.
• Hands-on ETL/ELT pipeline design and maintenance.
• Experience with modern warehouses and orchestration.

Aufgaben

• Design, build, and maintain scalable data pipelines using dbt, Snowflake, and Airflow.
• Transform raw data into structured models with tests and docs.
• Own data products lifecycle from design to retirement.
• Evolve analytics engineering foundations, CI/CD, monitoring.
• Collaborate with Finance, Operations, Marketing, Product, CRM.
• Communicate technical decisions and trade-offs clearly.
• Explore AI-assisted tools across the data development lifecycle.
• Embed best practices for quality, ownership, and documentation.

Kenntnisse

SQL (DBT)

Data modeling

Python

CI/CD

Stakeholder comms

Autonomy

AI tooling

Tools

Snowflake

BigQuery

PostgreSQL

Airflow

GitHub

Jobbeschreibung

Vestiaire Collective is seeking a Senior Analytics Engineer to translate raw data into reliable, scalable data products powering decision making across product, marketing, CRM, and finance. You will own pipelines and analytical models, emphasize testing, documentation, and cost-aware design, and drive AI-assisted tooling to modernize data workflows.

Embedded in the Analytics Engineering team, you will collaborate across functions to translate business needs into robust data solutions, advance