Data Engineering Specialist

Aecon Concessions; Toronto; On-site; CAD 81,000 - 95,000; Full time

Job summary

A Canadian leader in infrastructure development is seeking a Data Engineering Specialist to support AI/ML initiatives. This role involves developing data ingestion pipelines, normalizing data, and ensuring high-quality inputs for analytics. The ideal candidate will have a Bachelor’s degree in a relevant field and 3+ years of experience in data engineering, particularly in AI/ML environments. Competence in Databricks and proficiency in Python and SQL are essential. The salary range is $81,500 to $95,000, with a focus on fostering diversity and inclusion.

Benefits

Career development through Aecon University and Leadership Programs

Mental and physical well-being support

Inclusion programs for diverse communities

Qualifications

• 3+ years of experience in data engineering, preferably in AI/ML environments.
• 3+ years of experience using Databricks and/or MS Fabric.
• Strong understanding of unstructured data workflows.

Responsibilities

• Develop and maintain robust data ingestion pipelines from diverse sources.
• Build connectors and workflows to integrate with enterprise platforms.
• Collaborate with AI/ML teams to deliver curated datasets.

Skills

Python

SQL

Spark

Kafka

Data Modeling

ETL/ELT processes

Education

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field

Tools

Databricks

Azure

Airflow

Prefect

Job description

It has come to our attention that various international organizations or individuals have been offering false employment opportunities at Aecon Group Inc. Aecon Group Inc. employment policies and processes involve interviews, and candidates who seek employment are never required to pay us any sum of money. To do so would be contrary to our business conduct guidelines and ethical practices. We also do not extend formal offers of employment or execute employment agreements through social media or social chat platforms.

We take this matter extremely seriously and are working with the appropriate authorities to shut down such fraudulent schemes. Please remain vigilant on this matter and report any suspicious outreach to your local authorities and email any concerns to [e-mail]

Date: Jan 23, 2026

Location: Toronto, ON, CA Vancouver, British Columbia, CA Calgary, AB, CA

Operating Sector: Information Services

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.

At Aecon, you can count on:

• 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.

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. We’re always searching the globe for innovative, collaborative minds to join our best-in-class Aecon community!

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:

Scalable Data Ingestion

• 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.

System Integration

• 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.

Structured/Unstructured Data Processing

• 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 markdown
• CI/CD Automation in Databricks
• Design 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.

AI/ML Enablement

• 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.

Operational Resilience

• Strengthen system reliability and reduce technical debt by supporting ingestion, integration, and data infrastructure.
• Monitor and optimize performance across data workflows.

Strategic Impact

• 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 Fabric
• Proficiency 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 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. These tools are applied responsibly and in accordance with applicable privacy laws and Aecon’s AI Usage Policy. All final decisions are made by qualified Aecon team members.