Data/ML Engineer

Job description

Position Description:

Join CGI!

Founded in 1976, CGI is among the largest IT and business consulting services firms in the world. We leverage expertise and results-driven delivery to help accelerate our clients’ digital transformation. Across 21 industries and 400 locations worldwide, our 93,000 professionals provide end-to-end, scalable, and sustainable IT and business consulting services delivered locally.

Position Description

As a Data/ML Engineer, you will be part of our team in the Data & Analytics area, contributing to the design, development, and optimization of data and machine learning solutions. You will work within agile, cross-functional teams to build high-quality, scalable pipelines and ML components that support business insights and advanced analytics.

Responsibilities

• Design and develop data and ML pipelines using Python, Scala, and cloud-native tools.
• Build and maintain robust data processing workflows using Spark and SQL.
• Implement, test, and debug ML and NLP components to ensure high-quality delivery.
• Work with large, complex, and unstructured datasets to support analytical and ML initiatives.
• Collaborate with data engineers, ML engineers, data scientists, and business teams in an agile environment.
• Leverage cloud platforms and tools such as Databricks, Azure Data Factory, and Azure ML Studio.
• Contribute to continuous improvement, knowledge sharing, and best practices adoption.

Key Requirements

• 2+ years of experience as a Data/ML Engineer in agile, cross-functional teams.
• Strong expertise in Python, Scala, ML, and NLP development.
• Solid knowledge of Spark, SQL, and cloud platforms.
• Familiarity with Databricks, Azure Data Factory, and Azure ML Studio.
• Skilled in testing, debugging, and handling large, unstructured datasets.
• Collaborative mindset, curiosity, and problem-solving orientation.
• Ability to work effectively in agile environments.
• Fluent English.

Nice to Have

• Degree or vocational training in Computer Science, Data Engineering, or related fields.
• Certifications or experience in cloud data ecosystems (Azure, AWS, GCP).
• Previous experience in ML Ops, model deployment, or data governance.
• Interest in continuous learning and emerging technologies.
• Familiarity with distributed computing environments.

What We Offer

• Permanent contract.
• Continuous training and access to official certifications.
• Work modality: Remote.
• Participation in the company’s share purchase plan from day one.
• Opportunity to work on innovative projects with major clients.
• Flexible compensation plan: childcare voucher, meal voucher, transportation card, etc.
• Life and accident insurance.
• Collaborative environment and growth-oriented culture.
• Flexible career path tailored to your goals.
• Internal knowledge communities.

Here you will find a place where you can be yourself, innovate, and grow.
A place where your voice matters, and your ideas become reality.

Skills:

·  Azure Data Factory
·  English
·  Python
·  Scala
·  Spanish

What you can expect from us:

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll 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. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

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.