Data Engineering Technical Manager (M/F)

Job Description:

You will join the Information Systems Department within a multidisciplinary team engaged in a major digital transformation program. In a context of modernizing the Data platform and evolving the Azure architecture, you will work on the design, industrialization, and optimization of end-to-end data flows and pipelines. You will also participate in a strategic migration to Microsoft Fabric, within a complex environment requiring a high level of availability, reliability, and performance.

Your Missions

In this capacity, you will notably be responsible for: Designing, developing, and industrializing complex ETL/ELT data pipelines with Azure Data Factory; Integrating, transforming, and orchestrating large volumes of data from heterogeneous sources: APIs, relational databases, files, and business applications; Guaranteeing the quality, reliability, performance, monitoring, and maintainability of data flows; Designing and exposing REST and GraphQL APIs in SOA and microservices architectures; Ensuring the management, securing, and monitoring of APIs via Azure API Management; Designing integration solutions based on Azure Service Bus, Event Hub, Event Grid, and Logic Apps; Participating in the migration and optimization of existing flows to Microsoft Fabric; Leveraging Azure Data Lake Storage and Synapse Analytics services; Implementing event-driven architectures and orchestration mechanisms adapted to business constraints; Automating infrastructure deployment with Bicep and ARM Templates; Developing and maintaining components in Python, Java, and SQL; Writing technical specifications, test plans, and associated documentation; Participating in code reviews and Pull Request reviews; Collaborating closely with Data, architecture, infrastructure, security, and business teams; Actively participating in Agile ceremonies and project synchronization meetings.

Profile Description:

Education and Experience: Master's degree (Bac+5), engineering or university training, predominantly in IT / data engineering***Minimum 5 to 8 years of experience in data engineering, data integration, or technical lead roles.

Technical Skills: Azure Data Factory (ADF): design and operation of complex ETL/ELT pipelinesAzure Services: Service Bus, Event Hub, Event Grid, Logic Apps, API Management (APIM), Data Lake Storage, Synapse Analytics, Microsoft FabricInfrastructure as Code: Bicep / ARM Templates, CI/CD practicesLanguages: Python, Java, SQL - advanced level requiredAPIs: REST, GraphQL, SOA

Soft Skills and Transversal Skills: Leadership, pedagogy, sense of teamwork and communicationAutonomous, proactive, ability to work in a teamAwareness or training in IT security management (incidents, compliance)Knowledge of GDPR issuesProfessional English, international experience appreciated***Ability to work in a transverse mode and to support change management within teams.