Senior Azure Data Engineer

Position Overview Are you ready to join an inclusive, high-performing culture that values innovation, corporate social responsibility, and the freedom to influence decisions and shape your career? CGI is more than an IT consulting company—we're a team that supports local communities while drawing on global, best-in-class talent. We are seeking a Senior Data Engineer to join our growing data practice and help clients deliver modern, secure, and scalable enterprise data solutions on Microsoft Azure. CGI offers a share purchase program, profit sharing, wellness credits, training and development programs, and flexible work schedules and locations.

Responsibilities

Design, build, and support enterprise‑grade data platforms and pipelines that ingest, transform, and serve data from structured and unstructured sources at scale.

Develop secure, repeatable, and highly performant ETL/ELT pipelines using Azure‑native services and modern engineering practices.

Build data transformation and orchestration workflows for batch and near real‑time processing (event‑driven patterns where required).

Implement data ingestion across APIs, SaaS applications, databases, and file‑based sources.

Apply strong data security controls to protect data in transit and at rest, aligned with client and regulatory requirements.

Develop data quality, validation, and reconciliation frameworks to ensure accuracy of key business metrics.

Contribute to data governance practices including metadata management, cataloging, lineage, and documentation.

Collaborate with solution architects, analysts, and stakeholders to translate business needs into technical designs and delivery plans.

Provide estimates and guidance on data gaps, feasibility, and level of effort; support delivery teams through implementation.

Produce and maintain documentation including data dictionaries, pipeline runbooks, and operational support materials.

Evaluate and recommend new tools and practices to improve reliability, performance, cost‑efficiency, and maintainability.

Qualifications

Strong hands‑on experience in Microsoft Azure, including services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage (or equivalent Azure data platform components).

Advanced SQL proficiency (data modeling, query optimization, complex transformations, performance tuning).

Strong Python proficiency for data engineering (pipeline development, automation, validation, orchestration, APIs).

Experience building and operating data pipelines using modern DevOps practices (CI/CD, Git workflows, automated testing, Infrastructure‑as‑Code exposure preferred).

Strong understanding of data security principles and secure software development practices.

Preferred Experience

Experience with Spark (PySpark), streaming/event‑driven architectures, and messaging tools (e.g., Kafka, Event Hubs).

Familiarity with Snowflake and/or lakehouse patterns.

Experience enabling analytics and reporting consumers (e.g., Power BI, semantic models, curated datasets).

Experience working in regulated environments (financial services, government, healthcare) and supporting auditability requirements.

Key Attributes

Strong ownership mindset; able to execute with minimal oversight and drive outcomes.

Detail‑oriented with strong organization and follow‑through.

Comfortable managing multiple priorities and deadlines in a client delivery environment.

Clear, confident communicator who can translate technical concepts into business‑impact language.

Passion for turning disparate data into trusted, actionable insights.

Education Bachelor's degree or diploma in mathematics, informatics, statistics, computer science, information systems, or equivalent practical experience.

Compensation CGI is providing a reasonable estimate of the pay range for this role. The determination of this range includes various factors including but not limited to skill set level, geographic market, experience and training, and licenses and certifications. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $70,000 - $140,000.

EEO and Accessibility As an equal‑opportunity employer, being able to perform your best during the recruitment process is important to us. If you require an accommodation, please inform your recruiter. To learn more about accessibility at CGI, contact us via email. Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries.

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