Information Management Coordinator - Data Engineering

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Position:

Information Management Coordinator - Data Engineering   Division:

Strategy and Transformation
Department:

Digital Technology
Closing Date: 09/08/2026
Labour Group:
The Society
Posting: 5671

Job Summary   This position consults with relevant divisions in the Corporation to identify potential solutions for business problems, establish project priorities and recommend strategies for implementation and integration of projects, specific to the areas of Data Engineering, Data Process automation.

Duties & Responsibilities    Consults with relevant divisions to determine Corporate information needs and system requirements and plays a key role in managing relationships with the divisions, including advising other divisions on available IT services and solutions.
Recruits, directs, supervises, trains, and evaluates performance of assigned staff including Programmer Analysts and Systems Analysts in the data engineering and database administration space.
Plans and oversees data engineering initiatives from intake through delivery, ensuring alignment with corporate priorities and timelines.
In collaboration with Data Architecture, lead the development and maintenance of pipelines that ingest, transform, and deliver data for reporting and analytics and align with Enterprise Architecture principles and standards.
Collaborates with Data Architecture, Data Analytics & Reporting, and Information Governance teams to operate and improve shared data platforms (e.g. lakehouse, warehouse) to ensure reliability and scalability.
Work with departments to understand data requirements and shape them into clear technical designs and delivery plans.
Apply standards for security, privacy, access, and data classification in line with corporate governance expectations.
Coordinate integration of data from core systems (e.g. SAP, CRM, GIS) into centralized platforms.
Ensure data pipelines and platforms are monitored, issues are resolved quickly, and root causes are addressed.
Establish repeatable patterns for ingestion, transformation, and data modelling to reduce duplication and improve maintainability.
Support and provide hands-on technical mentorship to data engineers through design decisions, best practices, and day-to-day work.
Identify opportunities to improve tooling, automation, performance, and overall maturity of the data engineering function.
Oversees the administration, performance, availability, backup, recovery, and lifecycle management of corporate database platforms.
Establishes and maintains database administration standards, practices, and procedures to ensure the security, integrity, reliability, and recoverability of corporate data.
Maintains current knowledge of technological advancements as they pertain to departmental and corporate requirements.
Performs other related duties as assigned.
Qualifications    Education, Training and Experience Requirements
Degree in computer science, commerce, business administration or related discipline.
Seven to nine years’ progressively responsible experience in information services, with a focus on data engineering, data integration, or data platform delivery.
Knowledge, Abilities and Skills
Knowledge of data engineering concepts, including data pipelines, data integrations, and modern data architectures.
Demonstrated experience integrating complex ERP systems (ex SAP) with modern cloud data platforms and utilizing appropriate connectors and extraction patterns
Demonstrated experience with cloud-based data platforms (e.g. Microsoft Fabric, Databricks, or similar).
Knowledge of organizational management principles and project management methodologies.
Demonstrated ability to exercise a high degree of initiative and to work independently in complex, multi-stakeholder environment.
Advanced proficiency in SQL and demonstrated experience with programming languages (e.g. Python) for data transformation and analysis.

Experience with schema design, dimensional modeling, and structuring data for enterprise analytics, AI/ML workloads and reusable data products.
Hands-on experience with data lakes, data warehousing, and enterprise data…