Data & Analytics Professional Bois Colombes Cedex, FR

Your role and responsibilities

In this role, you will play a key part in every phase of our projects and will be responsible for:

• Design and develop scalable batch and real-time data pipelines on GCP.
• Build and optimize data warehouses using BigQuery.
• Implement ETL/ELT workflows using tools such as Cloud Workflows and Cloud Pub/Sub.
• Design dimensional data models and curated data marts.
• Deploy and manage ML models using Vertex AI and build real-time AI inference APIs.
• Develop and deploy microservices using Python/Node.js on Cloud Run or Google Kubernetes Engine.
• Implement CI/CD, infrastructure as code, monitoring, and security best practices.
• Ensure data governance, access control, and cost optimization.
• Collaborate with cross-functional teams and mentor junior engineers.

Required education

Master's Degree

Required technical and professional expertise

• 5+ years of experience in Data Engineering and cloud-based environments.
• Strong hands‑on experience with Google Cloud Platform and cloud‑native architecture design.
• Excellent understanding and mastery of IT architectures with the ability to design scalable, secure, and high‑performance solutions.
• Strong proficiency in Python and expert‑level expertise in SQL.
• Strong experience in data modeling, ETL/ELT processes, and enterprise data warehousing.
• Expertise in data science methodologies, including data cleaning, data exploration, and data visualization principles.
• Experience deploying AI/ML models and building RESTful APIs for production environments.
• Strong understanding of distributed systems and microservices architecture.
• Experience with containerization (Docker), CI/CD pipelines, and Infrastructure as Code.
• Excellent problem‑solving skills and strong analytical mindset.
• Strong communication skills with the ability to explain complex technical concepts to non‑technical stakeholders.
• Ability to work independently and manage time effectively in a fast‑paced, evolving environment.
• Collaborative mindset with proven experience working in cross‑functional teams.
• Adaptability and willingness to quickly learn new technologies and methodologies.
• Fluent in French and English (written and spoken).

Other relevant job details

Job Title

Job ID

City / Township / Village

State / Province

Country

France

Work arrangement

Hybrid

Area of work

Data & Analytics

Employment type

Regular

Position type

Professional

Up to 60% or 3 days a week (home on weekends - based on project requirements)

Company

(1296) IBM Services Center - France

Shift

General (daytime)

Equal Opportunity Statement

IBM is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.