DATA AZURE ENGINEER (M/F)

We are looking for a Data Engineer (M/F) to work within a Cloud Data Warehouse environment under Microsoft Azure.

You will join a team working on high-stakes topics surrounding Data, Cloud, and industrialization, with a role oriented towards Data Engineering, supervision, and DevOps.

The sought-after profile must be able to intervene across the entire data processing chain, from pipeline design to deployment and supervision.

Your main missions:

• Design, develop, and orchestrate Databricks notebooks in PySpark
• Feed and exploit a Medallion architecture: Bronze / Silver / Gold
• Manipulate and optimize Parquet, Delta, and CSV formats, taking into account performance, robustness, and cost challenges
• Optimize existing notebooks and jobs
• Implement and maintain the supervision of data flows
• Monitor Azure Data Factory pipelines
• Track data quality and implement alerts and dashboards
• Participate in incident detection and resolution as well as the reliability of the Data platform
• Collaborate with business and technical teams to understand needs and industrialize processing

• Evolve Terraform and Jenkins infrastructure repositories
• Maintain and execute Jenkins pipelines dedicated to Data deployments and processing
• Participate in GitHub repository management: branches, PR/MR, code reviews, and Git workflows
• Contribute to the automation and dissemination of Git / CI/CD best practices
• Intervene on Cloud infrastructure topics associated with the Data platform

• Conduct opportunity studies
• Participate in innovation projects
• Produce studies, recommendations, and architecture documents
• Respond to internal requirements expressions

Technical Environment Cloud & Data

• Microsoft Azure
• Azure Databricks
• Azure Data Factory
• Azure Storage Account
• Azure Key Vault
• Power BI

DevOps & CI/CD

• Terraform
• Jenkins
• GitHub
• Git / PR / MR / workflows
• Runtime Integration via VM

Languages

• Python
• PySpark
• Spark SQL
• SQL

Data

• Parquet
• Delta / Delta Lake
• CSV

Libraries

• PySpark
• Delta-Spark
• Azure Identity
• Azure Key Vault Secrets
• Azure Storage Blob

Expected Skills

• Minimum 7 years of professional experience
• Solid experience in Data Engineering
• Very good mastery of Databricks / PySpark
• Good knowledge of Microsoft Azure
• Significant experience in DevOps
• Mastery of Terraform and Jenkins
• Good knowledge of Git / GitHub and CI/CD
• Knowledge of Data, AI, and BI Reporting architectures
• Good writing skills: documentation, technical guides, architecture documents
• Autonomy, organization, and ability to prioritize
• Initiative and ability to be proactive
• Professional / technical English

The advantages of the JOCAD model

By joining JOCAD IT, you benefit from a structured environment attentive to employee well-being:

• Comprehensive family health & disability insurance
• Meal vouchers (Swile)
• Syntec Holiday Bonus
• Skills development plan to support your evolution
• Numerous CSE offers via Club Employés (discounts, leisure, culture, travel)