Data Engineer – Databricks
Data Engineer – Databricks
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Job Description
Position Description:
Join CGI!
Do you want to be part of one of the worlds top five companies in IT and business process services
At CGI we are looking for a Data Engineer to join an international project.
Requirements:
- Bachelors 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!
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What you can expect from us:
Together as owners lets turn meaningful insights into action.
Life at CGI is rooted in ownership teamwork respect and belonging. Here youll reach your full potential because
You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.
Your work creates value. Youll 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.
Youll shape your career by joining a company built to grow and last. Youll 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 teamone of the largest IT and business consulting services firms in the world.
Employment Type
Full-Time
