Data Engineer - GCP Data Platforms

About IBM Consulting

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide.

You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact.

At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your Role And Responsibilities

We are looking for motivated and talented leaders to join our technical capabilities for innovative projects and contribute to a unique structure. In this role, you will be a major player at all stages of our various projects and will have the following missions:

• Design and develop scalable data pipelines, in batch and real-time, on GCP.
• 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 Machine Learning models with Vertex AI and build real-time inference APIs.
• Develop and deploy microservices in Python/Node.js on Cloud Run or Google Kubernetes Engine.
• Implement best practices for CI/CD, infrastructure as code, monitoring, and security.
• Ensure data governance, access control, and cost optimization.
• Collaborate with cross-functional teams and mentor junior engineers.

Required Technical And Professional Expertise

• Over 5 years of experience in data engineering and cloud environments.
• Solid hands-on experience with Google Cloud Platform and designing cloud-native architectures.
• Excellent understanding and mastery of IT architectures, with the ability to design scalable, secure, and high-performance solutions.
• Strong proficiency in Python and advanced SQL expertise.
• Solid experience in data modeling, ETL/ELT processes, and enterprise data warehousing.
• Expertise in data science methodologies, including data cleaning, exploration, and visualization principles.
• Experience in deploying AI/ML models and creating REST APIs in production environments.
• Good understanding of distributed systems and microservices architectures.
• Experience in 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 autonomously and manage time effectively in a dynamic and evolving environment.
• Collaborative spirit, with proven experience working in cross-functional teams.
• Adaptability and willingness to quickly learn new technologies and methodologies.
• Fluency in French and English, written and spoken.

Key skills/competency

• Data Engineering
• Google Cloud Platform (GCP)
• Python
• SQL
• ETL/ELT
• Data Modeling
• Machine Learning (ML)
• Microservices
• CI/CD
• Cloud Architecture