Data Engineer – Databricks

Join CGI

Do you want to be part of one of the world's top five companies in IT and business process services?

At CGI, we are looking for a Data Engineer to join an international project.

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or related fields.
  
  
• Conversational English (B2 or higher).
  
  
• 5 years of experience in similar or related roles.
  
  
• Proven experience as a Solution Architect, Data Engineer, or similar role with hands-on Databricks expertise.
  
  
• Strong technical depth in data engineering, ML pipelines, and distributed computing.
  
  
• Expertise with Unity Catalog, governance frameworks, and security best practices.
  
  
• Experience integrating Databricks with enterprise platforms (Snowflake, SQL Server, ServiceNow, etc.).
  
  
• Familiarity with FinOps practices and cloud cost optimization.
  
  
• Excellent communication and stakeholder management skills, with the ability to bridge technical and business perspectives.
  
  
• Certifications in Databricks.
  
  

Responsibilities:

Strategic Partnership & Best Practices:

• Partner with business units to promote Databricks best practices, including Unity Catalog governance, FinOps strategies, and DBU optimization.
  
  
• Act as a trusted advisor to both technical and non-technical stakeholders, clearly articulating business value.
  
  

AI/ML Workload Enablement:

• Lead the onboarding of AI/ML workloads on Databricks, covering model training, deployment, and integration with enterprise data pipelines.
  
  
• Provide hands-on guidance in building scalable ML pipelines and distributed computing solutions.
  
  

Solution Architecture & Delivery:

• Design and implement Databricks use cases and solution patterns from requirements gathering to proof-of-concept (POC) delivery.
  
  
• Ensure all solutions align with business objectives and enterprise architecture standards.
  
  
• Architect and deliver seamless integrations between Databricks and enterprise platforms such as Snowflake, SQL Server, ServiceNow, and other critical systems.
  
  

Performance & Cost Optimization:

• Drive cost optimization initiatives by monitoring workloads, implementing FinOps best practices, and tuning compute resources for efficiency.
  
  
• Continuously refine architectures to balance performance, scalability, and cost-effectiveness.
  
  

Nice to Have:

• Prior experience in financial services or regulated industries.
  
  
• Knowledge of enterprise data governance, compliance, and security standards.
  
  

Complementary Skills:

This role requires a Databricks Engineer who can partner with business units to drive best practices in governance, FinOps, and workload optimization while leading the onboarding of AI/ML solutions.

The architect will design and deliver scalable use cases and integrations with enterprise platforms, provide hands-on expertise in data engineering and ML pipelines, and ensure performance and cost efficiency.

Acting as a trusted advisor, the role bridges technical depth with clear business value to support strategic goals.

Apply Now

Your future duties and responsibilities

Required Qualifications To Be Successful In This Role
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Here, you'll reach your full potential because…

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Your work creates value.

You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You'll shape your career by joining a company built to grow and last.

You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

Come join our team—one of the largest IT and business consulting services firms in the world.