Data Operations Specialist - Toronto
4 hours ago
Job description
Come Build Your Career at Aecon
As a Canadian leader in infrastructure development, Aecon is safely and sustainably building what matters for future generations to thrive We lead some of the most impactful infrastructure projects of our generation, at the forefront of transformational change in transportation and energy, and partnering every day to build, connect, power, and strengthen our communities.
Safety Always. Our number one core value. If we can't do it safely, we don't do it at all.
Integrity. We lead by example, with humility and courage.
Accountability. We're passionate about delivering on our commitments.
Inclusion. We provide equitable opportunities for everyone.
We lead the infrastructure industry with purpose, and our people are at the heart of everything we do. So, we invest in our people, just like they invest in us
At Aecon We
Ensure you and your family receive the services needed to support your mental, emotional, and physical well-being.
Believe in helping you build your career through our Aecon University and Leadership Programs.
Are committed to supporting and investing in inclusive work environments, through initiatives like Equity, Diversity & Inclusion training, our Aecon Women in Trades and Aecon Diversity in Trades programs, and our Employee Resource Groups (ERGs) to ensure we are building inclusion into every aspect of our culture at Aecon.
Are a leader in sustainable construction. With a strong commitment to operating responsibly by minimizing our impact on the environment and surrounding communities.
Our business success relies on strong execution and continuous improvement – driven by the diversity, expertise and teamwork of our people.
What is the Opportunity?
We are looking for a highly organized and detail‑oriented Data Operations Specialist to manage and optimize data across our entire data landscape.
This role is central to ensuring that our AI team, data engineers, and business stakeholders have reliable, well‑structured, and accessible data.
You will oversee the operational health of our data lake, shared drives, raw file repositories, backups, archival processes, and other storage platforms.
This is a hands‑on role for someone who thrives on structure, consistency, and operational excellence - and who understands that great AI and analytics start with great data hygiene.
Data Management & Governance
Maintain and organize data across the data lake, shared drives, raw file zones, and structured storage environments.
Implement and enforce data organization standards, naming conventions, folder structures, and retention policies.
Ensure data lineage, metadata, and documentation are consistently captured and maintained.
Support data governance initiatives by helping classify, tag, and secure data appropriately.
Operational Data Support
Manage ingestion, movement, and lifecycle of raw files and datasets across environments.
Monitor data pipelines and storage systems to ensure availability, accuracy, and completeness of data.
Coordinate with data engineers to troubleshoot ingestion issues, missing files, or data quality anomalies.
Oversee backup schedules, restore processes, and long‑term archival strategies.
Platform & Infrastructure Oversight
Support the operational health of the data lake (e.g., ADLS), including folder structures, permissions, and storage optimization.
Maintain shared drives and file repositories, ensuring they remain organized, secure, and compliant.
Assist with capacity planning, storage monitoring, and cost optimization across data platforms.
Enablement for AI & Data Engineering Teams
Prepare, structure, and organize datasets required for AI model development and analytics.
Ensure timely availability of raw and curated data for experimentation and production workloads.
Collaborate with data engineers to streamline data flows and reduce operational friction.
Help the AI team access, understand, and navigate available datasets.
Process Improvement & Automation
Identify opportunities to automate repetitive data operations tasks.
Develop and maintain SOPs, runbooks, and documentation for data handling processes.
Contribute to continuous improvement of data lifecycle management practices.
What You Bring To The Team
Experience working with cloud data platforms (Azure preferred: ADLS, Azure Storage, Synapse, Databricks, etc.).
Strong understanding of file‑based data management, folder structures, metadata, and data lifecycle concepts.
Familiarity with backup/restore processes, archival strategies, and storage governance.
Ability to work with technical teams (AI, data engineering) and translate operational needs into structured workflows.
Excellent organizational skills and a passion for clean, well‑structured data environments.
Nice to Have
Experience with scripting or automation (PowerShell, Python, Bash).
Exposure to data cataloging tools (Purview, Collibra, etc.).
Understanding of data governance frameworks and compliance requirements.
Experience supporting ML/AI workflows or analytics teams.
Reason for vacancy:
New position
The expected salary range for this opportunity is $81,500-$95,000
Aecon fosters diversity, inclusion and belonging within and across our organization.
We welcome all to apply including, women, visible minorities, Indigenous peoples, persons with disabilities, and persons of any sexual orientation or gender identity.
We are committed to adhering to the objectives and requirements outlined in the Accessible Canada Act (ACA), and to meeting the accessibility needs of persons with disabilities in a timely manner.
Through the implementation of the requirements of the ACA and its applicable regulations, appropriate accommodations will be provided upon request throughout the interview and hiring process.
As part of our commitment to fair and transparent hiring practices, Aecon may use artificial intelligence (AI) tools to assist in screening and reviewing candidates.
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