almost 2 years ago
Bordeaux, FranceSenior
Responsibilities
- Architect robust data pipelines using Python, SQL, dbt, and Airflow.
- Work with BigQuery, Snowflake, Databricks, Kafka, and MLOps tools.
- Design reliable and scalable data platforms.
- Address data quality, governance, observability, and cost optimization.
- Industrialize AI use cases and experiment with AI applications to data.
- Transform complex datasets into usable data products.
- Share technical knowledge within the SFEIR collective.
- Participate in a practical pair-programming technical assessment covering algorithms, Python, and SQL.
Requirements
- Hold a Bac+5 in computer science, such as a Master’s degree or engineering-school qualification, or have equivalent experience.
- Have five years of successful experience in a similar Data Engineer role, ideally in demanding environments.
- Master cloud and Big Data ecosystems.
- Apply software engineering best practices, including CI/CD, testing, and clean code.
- Be willing to share technical expertise within the 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.
- Opportunities to participate in local technology events and the AI Champions R&D program.
Tech Stack
Apache AirflowApache KafkaAWSAzureDatabricksdbtGoogle BigQueryGoogle CloudPythonScalewaySnowflakeSQL
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.