1 year ago
Toulouse, FranceMid Level / Senior
Responsibilities
- Architect robust data pipelines with Python, SQL, dbt, and Airflow.
- Work with BigQuery, Snowflake, Databricks, Kafka, and MLOps tools.
- Build reliable, scalable data platforms and transform complex datasets into usable data products.
- Develop data quality, governance, observability, and cost-optimization practices.
- Contribute to industrializing AI use cases and experiment with AI applications for data.
- Share technical expertise within the SFEIR collective and participate in client projects.
Requirements
- Bac+5 in computer science, a Master’s degree, an engineering-school qualification, or an equivalent background with substantial practical experience.
- 4–5 years of successful experience in a similar Data Engineer role, ideally in demanding environments.
- Strong command of cloud and Big Data ecosystems.
- Familiarity with software engineering practices including CI/CD, testing, and clean code.
- Ability and willingness to share technical knowledge within a collective.
Benefits
- Two to three days of remote work per week.
- Choice of a high-end MacBook Pro or latest-generation Dell Precision laptop.
- Fixed compensation, vacation bonus, profit-sharing agreement, sustainable mobility allowance, health insurance, and meal vouchers.
- Access to a local Toulouse technical community, SFEIR events, and the regional AI Champions program.
Tech Stack
Categories
Data Engineering
About SFEIR
SFEIR provides software engineering and IT consulting, building custom web, mobile, cloud, data, and IoT solutions for enterprises and scale-ups. It operates as a services firm delivering development, DevOps, and machine learning expertise along with platform modernization projects. Founded in 1985 and headquartered in Neuilly-sur-Seine, France, it is privately held and owned by UI Investissement.