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Added 8 mins ago
RD
Full Stack Engineer
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- Contract
Added 38 mins ago
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C
Lead Data Engineer
CGI
Halifax, NS
- Full-time
The Sr/Lead Data Engineer is someone who has the skills to lead the engineering team, including strong communication skills and ability to be self sufficient
Added 1 hour ago
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Added 2 hours ago
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Drive technical strategy, Agile delivery, DevSecOps, governance, and production reliability.
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Understanding of Agile methodologies and software development life cycle (SDLC).

CGI

Lead Data Engineer

Halifax, NS, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 26, 2026
Experience: 6 8 years of experience in data engineering space
Posting language: English
Posted: Oct 27, 2026

Original job description

Position Description

The Sr/Lead Data Engineer is someone who has the skills to lead the engineering team, including strong communication skills and ability to be self sufficient

Your future duties and responsibilities

Database Management: Data Modelling, administer, secure, and maintain databases.  Hands on experience with SQL databases, query optimization, and schema design.  Data Pipeline Development: Design and implement data pipelines to efficiently collect, process, and store data. 
Data Publishing: Enable data distribution through outbound streams, queues, and APIs. 
API Integration: Implement API mutations to facilitate data updates from external systems. 
Replication Management: Build and oversee replication stores to support data consistency and availability. 
Software engineering: Developing, deploying, and supporting backend data services, pipelines, and platforms.   Direct experience with event driven architecture using Apache Kafka
Software Development Practices:  Familiarity with agile methodologies Experience in Continuous Integration/Continuous Deployment (CI/CD) pipelines.  Knowledge of testing strategies and automation frameworks.

Required Qualifications To Be Successful In This Role

6 8 years of experience in data engineering space
Strong SQL expertise
Strong Python and Data Processing
Understanding of Data Modeling for a modern platform medallion architecture
Big Data processing
Experienced in ETL, ETL Pipelines testing and Error handling
Experience integrating multiple data sources (and data source types, i.e. API, Database, Files)
Experience with a data modernization project
Databricks knowledge Jobs, Unity Catalog, Asset Bundles
Azure Data Factory for orchestration
Knowledge of Azure Architecture including RBAC, Data Lake, Azure Authorization methods

CGI is providing a reasonable estimate of the pay range for this role. The determination of this range includes factors such as skill set level, geographic market, experience and training, and licenses and certifications. Compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $60,000–$115,000. This role is a future opportunity.

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.

At CGI, we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. 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.

That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.

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.

Come join our team - one of the largest IT and business consulting services firms in the world.

Apply About employer

More about this job

Responsibilities

Lead the data engineering team and design, build, and support databases, data pipelines, backend data services, and data platforms. Enable data distribution and integration through streams, queues, APIs, and replication stores while maintaining data security, consistency, and availability.

Requirements

Requires 6–8 years of data engineering experience, strong SQL and Python skills, and experience with data modeling, big data processing, ETL, testing, error handling, and integrating multiple data sources. Candidates should also have data modernization experience and knowledge of Databricks, Azure Data Factory, Azure architecture, Kafka, CI/CD, and agile practices.

Skills

Data Engineering
SQL
Python
Data Modeling
Medallion Architecture
Big Data Processing
ETL
Data Pipeline Development
Apache Kafka
Databricks
Azure Data Factory
Azure Architecture
API Integration
Database Management
CI/CD
Agile Methodologies

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Database Management
Data Modeling
SQL
Query Optimization
Schema Design
Data Pipelines
Data Publishing
Outbound Streams
Queues
APIs
API Mutations
Replication Stores
Backend Data Services
Event-Driven Architecture
Apache Kafka
Agile Methodologies
CI/CD
Testing Automation
Python
Data Processing
Medallion Architecture
Big Data Processing
ETL
Data Source Integration
Data Modernization
Databricks
Unity Catalog
Asset Bundles
Azure Data Factory

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