Data Engineering Specialist for AI/ML Pipelines

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

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.