Senior Analytics Engineer - Build Scalable Data Pipelines & Impact

Vestiairecollective; Paris; In loco; EUR 90.000 - 130.000; Tempo pieno

Descrizione del lavoro

Vestiaire Collective is seeking a Senior Analytics Engineer to model raw data into scalable, reliable data products powering strategic decisions across Product, Marketing, CRM, Finance, and Operations. You will own data pipelines end-to-end, elevate engineering standards, and explore AI-assisted workflows to streamline analytics.

You will collaborate with Finance, Operations, Marketing, and Product teams to deliver high-quality data solutions, ensuring performance, cost efficiency, and robust

Competenze

• 3-5 years of relevant experience in Analytics Engineering or a similar role.
• Hands-on experience designing, deploying, and maintaining ETL/ELT pipelines.
• Strong SQL and data transformation skills (DBT).
• Experience with Snowflake, BigQuery, PostgreSQL, or similar data warehouses.
• Experience with Airflow for orchestration.
• Proficient in Python for data processing and tooling.

Mansioni

• 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 data models with testing and documentation.
• Own analytical data products through their lifecycle from design to improvement and retirement.
• Collaborate with cross-functional teams to translate business needs into data solutions.
• Explore AI-assisted engineering tools across the data development lifecycle.

Conoscenze

SQL

dbt

Data modeling

Python

Airflow

GitHub

CI/CD

Testing

Observability

AI tools

Stakeholder comms

E-commerce knowledge

Strumenti

Snowflake

BigQuery

PostgreSQL

Airflow

Git

Descrizione del lavoro

Vestiaire Collective is seeking a Senior Analytics Engineer to model raw data into scalable, reliable data products powering strategic decisions across Product, Marketing, CRM, Finance, and Operations. You will own data pipelines end-to-end, elevate engineering standards, and explore AI-assisted workflows to streamline analytics.

You will collaborate with Finance, Operations, Marketing, and Product teams to deliver high-quality data solutions, ensuring performance, cost efficiency, and robust