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TriMech

Senior Data Engineer

Oakville, ON, Canada

Job type: Full-time
Experience: 5+ years experience in a relevant field, flexible for the right candidate.
Posting language: English
Posted: Aug 19, 2026

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Applications open in a new tab.

Original job description

PROFILE

TriMech is investing in a modern enterprise data platform - built on Microsoft Fabric - to create a trusted, scalable foundation for reporting, analytics, AI, and data-driven decision-making across the group. This role sits at the heart of that programme.

As Senior Data Engineer / Data Scientist, you will design, build, and operate the group's data ecosystem: integrating data from our core business systems, developing robust pipelines, establishing quality and governance standards, and delivering the advanced analytics and AI capabilities that shape strategic and operational decisions.

This is a hands-on, high-visibility role. You will work directly with executive leadership, business teams, and IT to turn raw data from platforms such as Salesforce, NetSuite, marketing systems, and bespoke applications into secure, governed, and genuinely useful insights. You will also help set the engineering standards, deployment practices, and support processes for the platform as it scales.

DUTIES AND RESPONSIBILITIES

Data platform engineering

Design and build scalable data pipelines, ingestion, transformation, and orchestration processes on Microsoft Fabric.
Develop the enterprise lakehouse architecture and data models that serve analytics, reporting, and AI use cases.
Integrate data across multiple applications via APIs and ETL tooling.
Optimise performance, reliability, and cost, and embed CI/CD and DevOps practices for platform deployments.

Business intelligence & analytics

Translate business requirements into analytical datasets, semantic models, and Power BI reporting across Sales, Finance, Marketing, Customer Success, Operations and more.
Build executive and board-level reporting datasets, and champion self-service analytics adoption.

Data science & AI

Develop forecasting, statistical, and predictive models using enterprise data assets.
Support AI and machine-learning initiatives and evaluate emerging technologies for practical business value.

Governance & quality

Implement data quality monitoring, validation, and master data management practices.
Establish cataloguing, lineage, and metadata management through Microsoft Purview, and support security, privacy, and regulatory compliance.

Stakeholder partnership

Work with leadership and data owners to improve definitions, consistency, and measurement frameworks.
Communicate technical concepts clearly to technical and non-technical audiences alike.

SKILLS AND REQUIREMENTS

A degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field - or equivalent practical experience.
5+ years experience in a relevant field, flexible for the right candidate.
A strong track record designing and running enterprise-scale data pipelines and integrations across multiple applications.
Deep SQL expertise, data warehousing, and dimensional modelling, with experience of lakehouse and modern data architecture patterns.
Hands-on experience with Microsoft Fabric (or equivalent platform), or a strong Azure data estate (e.g. Azure Data Factory, Synapse) with the appetite to specialise in Fabric.
Power BI development, including semantic models.
Python and/or R for analytics and automation, plus source control and DevOps practices.
Applied experience in at least one of: predictive modelling, statistical analysis, forecasting, machine learning, or AI solution development.
Experience with business platforms such as Salesforce, NetSuite, and CRM/ERP integration patterns.
Microsoft, Azure, Fabric, or data engineering certifications.
Highly analytical and naturally curious, with strong attention to detail.
Ability to translate ambiguous business questions into clear data requirements and solutions
Comfortable moving between deep technical work and business conversations.
Able to work independently, manage competing priorities, and communicate with impact.
Passionate about data quality, governance, and continuous improvement.

COMPENSATION

OTE $154k - 165k per annum

PERKS AND BENEFITS

Hybrid Work Arrangements
Flex PTO
Competitive Group Benefits Plan
Perkopolis Membership Access – Employee perk and discount programs.
Wellness Program
Social Events

This opportunity is to fill an existing vacancy

TriMech is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including gender identity and sexual orientation), disability, age, national origin, or protect veteran status or any other protected status.

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More about this job

Responsibilities

You will design, build, and operate the group's enterprise data ecosystem using Microsoft Fabric to support reporting, analytics, and AI initiatives. This involves developing scalable data pipelines, establishing governance standards, and collaborating with leadership to deliver actionable business insights.

Requirements

Candidates must have at least 5 years of experience in data engineering with deep expertise in SQL, data warehousing, and modern architecture patterns. A degree in a relevant technical field is required, along with proficiency in tools like Power BI, Python, and cloud-based data platforms.

Skills

Microsoft Fabric
Data engineering
SQL
Data warehousing
Dimensional modelling
Power BI
Python
R
Azure Data Factory
Synapse
ETL
Data governance
Machine learning
Predictive modelling
Salesforce
NetSuite

Benefits

Hybrid work arrangements
Flexible PTO
Competitive group benefits plan
Perkopolis membership access
Wellness program
Social events

Visa sponsorship

Not detected in the job text

Keywords

Microsoft Fabric
Data Engineering
Lakehouse
Azure
SQL
Data Warehousing
Dimensional Modelling
Power BI
Python
R
ETL
DevOps
CI/CD
Machine Learning
Predictive Modelling
Salesforce
NetSuite
Microsoft Purview
Data Governance
Master Data Management
API
Analytics
Business Intelligence
Data Pipelines
Enterprise Data Platform

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