Data Engineer

Location:

Brampton, ON, Hybrid, 4 days on-site per week

Language:  Strong written and verbal English communication skills

About the Opportunity
Join a growing data and analytics team within a fast‑paced organization where reliable insights help shape better decisions across the business. This permanent opportunity is ideal for an Intermediate Data Engineer / BI Developer who enjoys building strong data foundations while also turning information into meaningful dashboards and reports.

You’ll work closely with business and technical stakeholders to design data pipelines, support analytics solutions, and help improve how teams access and use data. This is a hands‑on role with room to take ownership, contribute ideas, and continue growing your technical expertise.

What’s In It for You

A competitive base salary of $75,000 to $88,000

A collaborative hybrid work environment with strong team connection

Opportunities to work across data engineering, BI, governance, and reporting

Exposure to modern cloud data platforms and business‑facing analytics work

A role where your work directly supports better decision‑making across the organization

Your Responsibilities

You’ll design and develop end‑to‑end data ingestion and transformation pipelines into a data lake

In this role, you’ll extract data from databases, files, APIs, and other source systems

You’ll build, maintain, and optimize data processing workflows using Databricks or Azure Synapse

You’ll develop production‑grade Python and PySpark code with strong error handling, logging, and quality checks

You’ll design Power BI datasets, semantic models, reports, and DAX calculations using data modeling best practices

You’ll partner with stakeholders to translate business needs into practical analytics solutions

You’ll support documentation, standards, governance, and code management practices

Skills and Qualifications

2 to 5 years of experience in data engineering, BI development, analytics, or a related field

Experience working with Databricks or Azure Synapse in a production environment

Intermediate Python and PySpark skills for data processing and pipeline development

Intermediate to advanced SQL skills, with knowledge of data lake and data warehousing concepts

Strong Power BI experience, including data modeling, DAX, semantic models, performance tuning, datasets, and reporting

Bachelor’s degree in Computer Science, Data Engineering, Analytics, Engineering, or equivalent experience

Strong collaboration skills with the ability to work independently and communicate with technical and business teams

Note from the Hiring Manager
“We’re looking for someone who enjoys building practical, reliable data solutions and can partner well with the business. This is a great opportunity for someone who wants to keep growing while making a real impact on how teams use data.”

EEO Statement
All qualified applicants will receive fair consideration for employment. We welcome individuals of all backgrounds, experiences, and identities including those who identify as women, members of racialized groups, Indigenous Peoples, persons with disabilities, and 2

SLGBTQIA+ communities. If you require an accommodation, please review our accessibility policy and reach out to our accessibility officer with any questions.

#J-18808-Ljbffr