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About the Role

Central 1 is seeking a Data Engineer for a 6-month term position to support evolving data needs and shape the use of Microsoft Fabric and modern cloud-based data solutions. The role involves being a key Microsoft Fabric subject matter expert, designing, building, and optimizing data pipelines and solutions to transform data into actionable insights. You will collaborate with various teams to create scalable data platforms that enhance decision-making and member experiences.

Responsibilities

Design, develop, and maintain data pipelines using Microsoft Fabric and Azure Data Factory (ADF).
Ensure data security and compliance by implementing best practices such as RBAC, encryption, and secure credential management.
Collaborate with data governance stakeholders to enforce data quality standards, lineage tracking, and metadata management.
Design and implement monitoring solutions using Azure-native services for platform reliability and performance.
Deliver data solutions in alignment with approved architecture and established design standards.
Collaborate cross-functionally to translate business requirements into technical solutions.
Develop, configure, and maintain CI/CD pipelines using Azure DevOps for automated deployment.
Produce and maintain comprehensive documentation in Confluence.
Ensure adherence to ITIL-based processes for incident and change management using ServiceNow.
Proactively drive operational excellence by identifying recurring issues and optimizing workflows.
Conduct peer code reviews through pull requests to ensure code quality.
Develop, maintain, and optimize Power BI solutions, including dashboards, reports, and data models.
Deliver against project commitments by contributing to the design, development, and implementation of data engineering solutions.
Perform additional duties as required.
Participate in 24x7 on-call responsibilities.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
4+ years of experience in data engineering roles.
Hands-on experience in Azure cloud platforms.
Strong proficiency in Azure Data Factory (ADF), Microsoft Fabric, T-SQL, and Azure Storage services.
Proficiency in SQL and Python for developing data transformation and processing workflows.
Experience designing and building data lakes and data warehouses.
Strong understanding of ETL/ELT concepts, data pipeline design, and orchestration patterns.
Experience applying DevOps practices to data solutions, including CI/CD implementation using Azure DevOps.
Experience integrating financial systems and handling sensitive data (e.g., PII) in compliance with regulatory and security standards.
Proficiency in Power BI, including Power BI Desktop, Service, and Gateway.
Strong expertise in DAX, Power Query (M language), and data modeling techniques.
Experience working with relational databases (e.g., SQL Server, Azure SQL) and optimizing query performance.
Proven ability to translate business requirements into clear technical specifications and scalable data solutions.
Solid understanding of IT operations, support processes, and enterprise environments.
Well-developed analytical, problem-solving, organizational, and time management skills.
Experience with collaboration and delivery tools such as Jira, Confluence, and Azure DevOps.
Strong communication skills, with the ability to effectively engage both technical and non-technical stakeholders.
Ability to manage priorities and adapt to changing business needs.
Microsoft Certified: Azure Data Engineer Associate, Microsoft Certified: Fabric Data Engineer Associate, or equivalent certifications (Preferred).
Microsoft Certified: Power BI Data Analyst Associate, Microsoft Certified: Fabric Analytics Engineer Associate, or equivalent certifications (Preferred).
Experience with data transformation frameworks such as dbt (Preferred).
Experience integrating Power BI with other Microsoft products (e.g., Teams, SharePoint) (Preferred).
Familiarity with Agile methodologies and delivery tools (e.g., Jira, Azure DevOps) (Preferred).
Previous experience within financial services environments (Preferred).
Good understanding of ITIL-based processes, including Incident, Problem, and Change Management (Preferred).

Skills

Microsoft Fabric
Azure Data Factory (ADF)
T-SQL
Azure Storage services
SQL
Python
Data lakes
Data warehouses
ETL/ELT
Data pipeline design
Orchestration patterns
DevOps
CI/CD
Azure DevOps
Power BI
Power BI Desktop
Power BI Service
Power BI Gateway
DAX
Power Query (M language)
Data modeling
Relational databases
SQL Server
Azure SQL
Query performance optimization
Jira
Confluence
Azure DevOps
dbt (Preferred)
Agile methodologies (Preferred)
ITIL-based processes (Preferred)

Location

Canada

Work Type

Term
Full-time

Experience Level

4+ years of experience in data engineering roles

Education Level

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.

Salary/Compensations

$80-$95 per hour based on a 35-hour work week

Benefits

Competitive base salary
Individual and company-wide annual incentive
Matched contributions for retirement plan
Top-notch benefits plan
Work-life flexibility
Career development opportunities
A day off to volunteer in your community

About the Company

Central 1 empowers credit unions and other financial institutions to deliver banking choice to Canadians by providing critical services at scale.
Central 1 collaborates with clients, developing strategies, products, and services to support the financial well-being of their more than 5 million diverse customers across Canada.
Visit www.central1.com for more information.

Equal Opportunity

Central 1 is an equal opportunity employer and committed to building an inclusive workforce by creating an environment where everyone feels like they belong and has the opportunity to be successful.
We welcome all applicants to join our diverse workforce and we will provide an accessible candidate experience including, but not limited to accommodations to interview sites and alternate formats upon request to our Recruitment team.
Central 1 is committed to building a diverse and inclusive workforce by creating an environment where everyone feels like they belong and has the opportunity to be successful.
We are welcoming of all applicants and we will provide an accessible candidate experience.