Data Engineer

Data Engineer

Position Description

We are seeking a dynamic and versatile Data Engineer with expertise in modern data platforms, technologies, and a strong command of Microsoft or AWS data tooling and products. This role focuses on designing, building, and optimising end-to-end data solutions that drive actionable insights and business innovation. The ideal candidate will have a deep understanding of data architecture, cloud platforms, and modern data engineering practices.

This position offers the option of remote working but will require some occasional travel to client sites or to CGI offices. All applicants must hold or be eligible for National Security Vetting (NSV) Security Check (SC) level.

Your future duties and responsibilities

As a Data Engineer, you will be responsible for designing, implementing, and optimising data solutions that meet client needs while ensuring scalability, security, and efficiency. You will also collaborate closely with business units to translate their requirements into actionable insights and lead initiatives for continuous improvement.

Responsibilities will include:

1. Design and implement scalable ETL pipelines for data ingestion, cleansing, and curation
2. Develop and manage unified data ecosystems, including warehouses, lakes, and lakehouses
3. Create and maintain relational and non-relational data models to support diverse analytical needs
4. Support data visualisation efforts with tools like Power BI or Tableau
5. Establish and enforce best practices for data governance, including cataloguing, lineage tracking, and quality control
6. Implement security protocols to comply with organisational and regulatory standards
7. Collaborate with data analysts, data scientists, and business stakeholders to deliver actionable data solutions
8. Mentor junior team members and foster a culture of knowledge sharing within the team
9. Stay updated on emerging technologies, optimising workflows and advocating best practices in data engineering

Required qualifications to be successful in this role:

1. Solid experience in data engineering, with exposure to multiple platforms and tools
2. Expertise in platforms like MS Fabric, Azure data tooling, AWS data tooling, Snowflake or Databricks
3. Strong proficiency in SQL and scripting languages such as Python
4. Experience with cloud platforms like Azure, AWS, or GCP and their data services
5. Solid problem-solving and stakeholder management skills, with the ability to manage complex datasets

Desirable:

1. Certifications in relevant technologies (e.g., Azure Data Engineer, AWS Big Data)
2. Familiarity with AI/ML tools, data privacy regulations (e.g., GDPR, CCPA) and compliance tools

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.