Data Engineer

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

Résumé du poste

A leading data solutions provider in Bordeaux is seeking a Data Engineer to own and evolve data pipelines, build a data warehouse, and collaborate with various teams to meet data needs. The ideal candidate has 2–4 years of experience, strong SQL skills, and familiarity with cloud tools. Experience with ETL processes and modern data tools is desired. This role offers a chance to enhance data accessibility and improve performance across the organization.

Qualifications

• 2–4 years of experience in a data engineering or related backend role.
• Bonus: experience with BI tools (e.g., Tableau, Looker).
• Knowledge of columnar storage formats (e.g., Parquet, Avro).

Responsabilités

• 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.

Connaissances

Strong SQL skills

Experience with PostgreSQL

ETL/ELT pipelines

Data modeling

Cloud tools (AWS/GCP)

Programming in Python

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).