Participate in large-scale projects by building and optimizing modern data platforms and pipelines.
Design, develop and industrialize reliable, high-performance data pipelines.
Integrate structured and unstructured data, both in batch and in real time.
Deploy and optimize data environments on the Cloud (AWS, Azure, GCP).
Implement and orchestrate ETL/ELT processes (Talend, Airflow, dbt, Fivetran, etc.).
Work on modern environments such as Databricks, Snowflake, BigQuery and Redshift.
Ensure data quality, security and governance.
Contribute to technology watch and recommend the best solutions for each project.

Passionate about data and comfortable working in demanding technical environments.
Languages: Python and SQL (Scala or Java are a plus).
Frameworks & tools: Spark, Kafka, Databricks, dbt, Airflow.
Cloud: AWS, Azure or GCP.
Databases: relational (PostgreSQL, MySQL) and cloud data warehouses (Snowflake, BigQuery, Redshift).
ETL/ELT: Talend, Fivetran or equivalents.
Bonus: experience in Machine Learning, real-time processing or data mesh is an asset.

A team of passionate experts: Join an environment where innovation and excellence are at the core of every project.
Large-scale projects: At Keyrus, you will take part in digital transformation and data management engagements for major companies.
A unique working environment: We value innovation, diversity and international mobility.
An inclusive corporate culture: Diversity is our strength and we firmly believe everyone has a role to play.
Our commitment to inclusion: All our positions are open to people with disabilities.

Data Engineer

Key skills