Data Engineering Specialist
Job in
Toronto, Ontario, M5A, Canada
Listing for:
Aecon
Full Time
position
Listed on 2026-06-20
Job specializations:
-
IT/Tech
Data Engineering, AI Engineer (Applied/Software), Data Science Manager, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 81500 - 95000 CAD Yearly
CAD
81500.00
95000.00
YEAR
Job Description & How to Apply Below
What is the Opportunity?
As the Data Engineering Specialist, you will be versatile and driven to help build the data foundation for our AI/ML initiatives. This role is essential to enabling intelligent automation, predictive analytics, and machine learning across our operations. You’ll design scalable data pipelines, transform complex data sources, and ensure our models have the high-quality inputs they need to deliver real impact.
What You’ll Do Here:
Develop and maintain robust pipelines for ingesting data from diverse sources, including IoT devices, operational systems, and field applications.Ensure data is clean, timely, and reliable for downstream analytics and modeling.Build connectors and workflows to integrate with various enterprise platforms and tools.Normalize and transform semi-structured, unstructured and nested data into usable formats for analytics and AI/ML applications.Support data engineering efforts on the Azure Data Platform (including Azure Databricks, Data Lake, and other services)Create workflows to extract insights from documents, images, emails, and other unstructured formats.Implement OCR, NLP preprocessing, and metadata extraction pipelines.Converting unstructured data to markdownCI/CD Automation in DatabricksDesign and implement continuous integration and continuous deployment (CI/CD) workflows within Databricks to streamline code updates, automate testing, and accelerate delivery of data pipelines and analytics solutions. Leverage version control and automated build processes to ensure code quality and reproducibility across environments.Collaborate with AI/ML teams to deliver curated datasets with engineered features, labeled examples, and consistent schemas.Build feature pipelines, manage dataset versioning, and track data lineage.Strengthen system reliability and reduce technical debt by supporting ingestion, integration, and data infrastructure.Monitor and optimize performance across data workflows.Play a foundational role in enabling AI-driven capabilities such as predictive analytics, anomaly detection, and intelligent automation.Ensure the AI/ML team has the data infrastructure needed to deliver high-impact solutions.What You Bring to the Team:
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.3+ years of experience in data engineering, preferably in AI/ML environments.3+ years of experience using Databricks and/or MS FabricProficiency in Python, SQL, and distributed data frameworks (e.g., Spark, Kafka).Experience with cloud platforms (e.g., Azure, AWS, GCP) and orchestration tools (e.g., Airflow, Prefect).Strong understanding of data modeling, ETL/ELT processes, and unstructured data workflows.Reason for Vacancy:
New
The expected pay range for this role is $81,500 - $95,000 per year
Individual pay is determined based on several factors, including work location, education, experience, unique skills and job conditions. Other considerations may include certifications, specialized training, and the complexity or scope of the role.
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