Data Engineer

Global Technical Talent; Regina; On-site; Full time

Job summary

A leading staffing firm seeks a Data Engineer in Regina, SK, to enable scalable and secure data solutions. The role involves designing data pipelines, managing data architecture, and collaborating with business units to meet analytics needs. Candidates should possess a degree in Computer Science and extensive experience in data management, including ETL processes.

Qualifications

• Minimum 5 years of experience in modern data management principles.
• Experience with ETL processes and data architecture.
• Bachelor’s degree or relevant technical diploma required.

Responsibilities

• Design, build, and maintain data pipelines and architectures.
• Monitor and troubleshoot database issues.
• Work closely with analytics teams to create and maintain ELT processes.

Skills

SQL Server

ETL

Python

Data Management

Big Data Tools

Cloud Platforms

Data Analytics

API Integration

Education

Degree or Diploma in Computer Science, Engineering, Data Sciences

Tools

SSIS

Azure Data Factory

Databricks

Job description

Job Title:Data Engineer
Contract Duration: 1+ years
Pay range: C$60 - 70/hr
Location:Regina, SK
Work Type: Onsite,Monday to Friday, 8 am to 5 pm.

Job Summary:

• As our client continues to expand its data-driven culture, the role of Data Engineers is critical inenabling scalable, secure, and high-performance data solutions.
• Data Engineers work closely with business units and analytics professionals to design, build, and maintain data pipelines and architecturesthat support advanced analytics, reporting, and operational systems.
• This includes integrating data from legacy systems, cloud platforms, and modern data lakehouse environments to ensure data is accessible,reliable, and optimized for use.

Description of Requirements:

• In order to be considered - the Data Engineer resource MUST have a minimum of 5 years of recent (in the last 7 years) experience in modern data management principles, such as, but not limited to, ETL, practical datadesign, architecture, management, modelling, quality, and analytics experience.
• The successful candidate will demonstrate a broad and solid understanding of these principles.

A successful Data Engineer candidate will have:

Educational & Experience Requirements:

• Degree or Diploma in Computer Science, Engineering, Data Sciences, or a quantitative discipline
• 5+ years' recent experience in ETL, data design, data architecture, data management, and datamodeling
• Relevant job experience in North America

Core Technical Skills:

• SQL Server & SSIS: Expert proficiency with SQL Server (on-premises), including storedprocedures, and SSIS package-level deployment.
• Data Pipelines: Proven experience designing, creating, and maintaining robust data pipelinesand ETL processes.
• Monitoring: Skilled in monitoring and troubleshooting database issues to ensure compliancewith policies and regulations.
• Python for ETL: Advanced Python skills applied to developing ETL processes following softwaredevelopment best practices (including automated testing and code reviews).
• Big Data Tools: Proficient in leveraging big data technologies, including PySpark and SparkSQLfor large-scale data processing.
• Cloud Expertise: Hands-on experience with cloud-based platforms such as Databricks, AzureData Factory, and Azure Data Lake.
• Lakehouse Architecture: Knowledgeable in implementing lakehouse architectures using Deltaformat and optimization strategies.
• API Integration: Experience working with external third-party APIs as ETL sources, includingMicrosoft Graph APIs, to integrate and automate tasks across Microsoft services.
• Automation & Deployment: Familiar with CI/CD processes and tools—including Databricks assetbundles (DABs) for managing workflows—and proficient with version control systems (e.g., Git)for ETL deployments.

Data Management & Communication:

• Understanding of data management principles as outlined by DAMA/DMBoK
• Ability to provide insights on evolving database integration, storage, and utilization needs
• Overseeing integration from legacy/on-premises systems to new solutions
• Clear communication of technical information and the ability to train/support staff
• Knowledge of data privacy and confidentiality regulations (e.g., PIPEDA)

Typical activities in this role include but not limited to:

• Work closely with the Enterprise Analytics team to create and maintain ELT processes.
• Assemble large, complex datasets that meet functional / non-functional business requirements;
• Consulting DT&S and Business leaders on data and information management practices andgovernance;
• Identify, design, and implement internal process improvements: automating manual processes,optimizing data delivery, re-designing infrastructure for greater scalability, etc..
• Build the infrastructure required for optimal extraction, transformation, and loading of data from awide variety of data sources using SQL and other technologies;
• Work with stakeholders, including the Executive, to assist with data-related technical issues andsupport their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building andoptimizing our business.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Championing efforts to improve business performance through enterprise information capabilities,such as master data management (MDM), metadata management, analytics, content management,data integration, and related data management or data infrastructure;
• Provide insight into the changing database integration, storage, and utilization requirements for thecompany and offer suggestions for solutions.
• Monitor and understand Information Management trends and emerging technologies

Mandatory Requirements (Pass/Fail):

• Candidate must have a Bachelor’s degree or technical Diploma in Computer Science /Engineering, Data Sciences, or a related discipline, or 5 years of related work experience
• Candidate must have a minimum of 5 years’ experience within the last 7 years working withmodern data management principles
• Candidate must be able to work and be located full-time on site at our client's Head Office inRegina, SK;

About GTT:
GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. As a Native American-owned, economically disadvantaged corporation, we highly value diverse and inclusive workplaces. Our clients are Fortune 500 banking, insurance, financial services, and technology companies, along with some of the nation’s largest life sciences, biotech, utility, and retail companies across the US and Canada. We look forward to helping you land your next great career opportunity!

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