Data/ML Engineer
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.
#LI-CH3
Skills:
Azure Data Factory, English, Python, Scala, Spanish