Senior Data Engineer, Applied AI & Cloud Data Platforms

Nexans; Paris; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Nexans, a leader in electrification, is seeking a Senior Data Engineer to design and build cloud-native data foundations for enterprise AI. You will collaborate with AI engineers, data scientists, and product teams to deliver scalable data platforms and production-ready data products.

You will implement DataOps and MLOps practices, develop ETL/ELT pipelines, and integrate data from SAP, ERP, CRM, and manufacturing systems across a global organization.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering or related discipline.
• 8+ years of experience building enterprise-scale Data Engineering solutions in international organisations.
• Advanced Python and SQL development skills.
• Experience with Databricks, Apache Spark and modern cloud data platforms.
• Experience building scalable ETL/ELT pipelines on Azure, AWS or Google Cloud.
• Knowledge of DataOps, CI/CD, Git and software engineering best practices.
• Experience supporting AI/ML workloads including MLflow or similar MLOps tools.
• Experience integrating SAP, ERP, CRM or other enterprise systems.

Responsabilités

• Design and build scalable cloud-based data platforms and pipelines for enterprise AI.
• Develop production-ready datasets and feature pipelines with AI engineers and data scientists.
• Collaborate to implement DataOps, MLOps and DevOps best practices.
• Integrate data from SAP, ERP, CRM and manufacturing systems.
• Drive governance, security and reliability across data platforms.

Connaissances

Python

SQL

DataOps

CI/CD

Git

Stakeholder management

English communication

Spark

Databricks

Cloud data platforms

Formation

Bachelor's or Master's in CS/DE/SE or related

Outils

Databricks

Apache Spark

Docker

Kubernetes

MLflow

Power BI

Description du poste

Nexans, a leader in electrification, is seeking a Senior Data Engineer to design and build cloud-native data foundations for enterprise AI. You will collaborate with AI engineers, data scientists, and product teams to deliver scalable data platforms and production-ready data products.

You will implement DataOps and MLOps practices, develop ETL/ELT pipelines, and integrate data from SAP, ERP, CRM, and manufacturing systems across a global organization.