Data Engineer

Ridecell; Bordeaux; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A technology company located in Bordeaux is seeking a Data Engineer to own and evolve data pipelines, build and maintain data warehouses, and ensure data accuracy. The ideal candidate has 2–4 years of experience in data engineering, strong SQL skills, and comfort with cloud tools like AWS or GCP. Experience with tools like dbt and Airflow is a plus. This position offers opportunities to collaborate across teams and improve data accessibility.

Qualifications

• 2–4 years of experience in a data engineering or related backend role.
• Strong SQL skills and experience working with PostgreSQL, BigQuery, or similar.
• Experience with ETL/ELT pipelines, data modeling, and cloud tools (AWS/GCP).

Responsabilités

• Own and evolve our data pipelines from ingestion to transformation.
• Build and maintain our data warehouse for dashboards and reporting.
• Ensure data is reliable, secure, and accurate.

Connaissances

SQL

Data Engineering

Cloud Tools (AWS/GCP)

Python

Data Modeling

ETL/ELT Pipelines

PostgreSQL

BigQuery

Outils

dbt

Airflow

Kafka

Spark

Tableau

Looker

Description du poste

What You’ll Do

• Own and evolve our data pipelines, from ingestion to transformation and delivery.
• Build and maintain our data warehouse to power dashboards, reporting, and analytics.
• Collaborate with product, engineering, and business teams to understand data needs.
• Ensure our data is reliable, secure, and accurate—at scale.
• Help make data self-serve across the company (we want everyone to be data-literate).
• Explore new tools and build prototypes to improve performance and automation.
• Create and maintain dashboards, ETL jobs, and integrations with analytics tools.

What You Bring

• 2–4 years of experience in a data engineering or related backend role.
• Strong SQL skills and experience working with PostgreSQL, BigQuery, or similar.
• Experience with ETL/ELT pipelines, data modeling, and cloud tools (AWS/GCP).
• Comfortable with tools like dbt, Airflow, Kafka, Spark, or similar.
• Strong programming skills in Python or another scripting language.
• You care about clean code, clear documentation, and reproducible processes.
• Bonus: experience with BI tools (e.g., Tableau, Looker) or exposure to SaaS metrics.
• Experience with dashboard/reporting tools (e.g., Tableau, Looker).
• Exposure to data warehouse planning, geospatial queries, or machine learning concepts.
• Knowledge of columnar storage formats (e.g., Parquet, Avro).
• Bonus: experience with Python, Django or statistical tools (R, MATLAB).