Data Engineer - Azure (M/F)

O2MAX is a growing ESN: 40 employees, +10 years of experience, and recognized expertise in Java, Angular, Cloud, Data, and Modern Work.

Historically based in Lyon, we now support our multi-site clients in Paris, Rennes, and Aix-en-Provence to strengthen proximity and reactivity.

Our human scale promotes conviviality, agility, and tailor-made career paths: training, certifications, mobility between agencies, and management perspectives.

Our values: conviviality & team spirit / excellence & benevolence / commitment & perseverance.

With O2MAX, every mission is a collective adventure where consultants and clients grow together.

The position:

As part of strengthening a Data team, we are looking for a Senior Data Engineer to work on the design, industrialization, and optimization of data processing in an Azure environment.

You will work mainly on Databricks, PySpark, and Azure Data Factory, with a complementary dimension around automation, CI/CD, and cloud infrastructure.

Your missions

• Design, develop, and chain Databricks notebooks in PySpark;
• Feed and maintain the different Bronze, Silver, and Gold layers;
• Manipulate and optimize Parquet, Delta, and CSV formats;
• Improve the performance, quality, and costs of existing processing;
• Supervise Azure Data Factory flows and pipelines, set up alerts, and contribute to incident recovery;
• Ensure the reliability and industrialization of Data processing in a production environment;
• Evolve configurations and infrastructures via Terraform;
• Maintain and execute Jenkins pipelines related to Data deployments and processing;
• Contribute to Git repositories: branch management, code reviews, workflows, and CI/CD best practices;
• Support business and technical teams in understanding needs and prioritizing evolutions;
• Participate in opportunity studies, consulting topics, and innovation projects.

Profile sought:

We are looking for a profile with at least 5 years of experience in data topics, with significant experience in data Engineering, and you specifically master:

You have confirmed senior experience in Data Engineering and specifically master:

Databricks / PySpark; SQL; Azure Data Factory; Bronze / Silver / Gold architectures; Delta, Parquet, and CSV formats; Azure; Git and CI/CD practices; Terraform and Jenkins.

You are autonomous, rigorous, proactive, and comfortable in environments requiring organization, prioritization, and documentation.

Professional English is required.