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Added 9 days ago
UR
Senior AI Engineer, IT Solutions 1
Urban Ridge Supplies
Toronto, ON
- Full-time
We are seeking a highly motivated and technically proficient AI Engineer to join our growing Data & Analytics team. In this role, you will be a key liaison between business stakeholders and…
Added 9 days ago
UR
Specialist, AI Engineering
Urban Ridge Supplies
Toronto, ON
- Full-time
Strong Programming Skills: Proficiency in Python and experience with relevant AI/ML frameworks. Proficiency in writing clean, maintainable code (i.e. Python, Java, SQL, Spark).
Added 9 days ago
UR
Principal Quality Architect
Urban Ridge Supplies
Toronto, ON
- Full-time
Polyglot Development: Write and test production-grade code across multiple languages and paradigms (e.g., TypeScript, Python, Go, .NET, Java) based on specific problem domains. Ramp into…
Added 9 days ago
A
Staff Marketing Technology Engineer
Absorb
Remote, Canada
- Full-time
- Remote
Expertise in SQL and Python, and proven experience designing and implementing ETL/ELT processes and pipelines (batch and streaming) and integrating with APIs.
Added 9 days ago
BC
Associate or Vice President Full Stack Engineer
BMO Capital Markets
Toronto, ON
- Part-time
We are seeking an exceptional Full Stack Engineer to join our Data Cognition Team at BMO Capital Markets. In this pivotal role, you will architect, develop, and implement innovative…
Added 9 days ago
C
QA Engineer - Data, ETL and API Testing
CGI
Toronto, ON
- Full-time
We are looking for a skilled QA Engineer with experience in data validation, ETL testing, API testing, and cloud-based data platforms. The successful candidate will bring strong analytical…
Added 9 days ago
P
Data Integration Engineer
Prophix
Remote, Canada
- Full-time
- Remote
A Prophix Data Integration Engineer enables seamless, automated connections between client data sources and the Prophix platform. Working on the Professional Services team and with…
Added 9 days ago
P
Data Integration Engineer
Prophix
Toronto, ON · Etobicoke, ON
- Full-time
A Prophix Data Integration Engineer enables seamless, automated connections between client data sources and the Prophix platform. Working on the Professional Services team and with…
Added 9 days ago
CG
Analytics Engineer
Cymax Group Technologies
Vancouver, BC
- $100,000 to $120,000 CAD / year
The immediate focus is helping to audit and rebuild our data foundation on Databricks using a medallion architecture, so the business can be served with clean, reliable data it can trust -…
Added 9 days ago
CG
Data Analyst
Cymax Group Technologies
Vancouver, BC
- $100,000 to $120,000 CAD / year
- Full-time
The immediate focus is helping to audit and rebuild our data foundation on Databricks using a medallion architecture, so the business can be served with clean, reliable data it can trust -…
Added 10 days ago
C
Staff Data Engineer
commonsku
Remote, Canada
- $160,000 to $180,000 CAD / year
- Full-time
- Remote
Our core foundation for the Data Team is built on Snowflake. The rest of our tech stack is built on PHP, Python, React, mySQL and our infrastructure is in AWS.
Added 10 days ago
GN
Senior Data Engineer
Ground News
Remote, Canada
- Full-time
- Remote
As a senior Data Engineer, you'll build the analytical foundation that Ground News runs on. You'll sit within our ML chapter and work out of the Platform & Infrastructure pod, splitting…
Added 10 days ago
A
Snowflake Data Engineer
Akkodis
Toronto, ON
- Contract
Advanced-level SQL/Matillion/dbt programming skills with ability to perform ELT optimization for performance. Knowledge/experience with cloud technologies (Lambda, S3, AWS policies etc.)…
Added 10 days ago
A
Business Intelligence Engineer III, Talent Acquisition Analytics
Amazon
Vancouver, BC
- Full-time
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Added 10 days ago
CT
Senior Data Engineer
Confluence Technologies
Toronto, ON
- Full-time
We’re looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision-making across the organization. In this role, you’ll take ownership of key…
Added 10 days ago
PS
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Sapient
Toronto, ON
- Full-time
Publicis Sapient is looking for a Senior Associate Data Engineer to be part of our team of top-notch technologists. You will lead and deliver technical solutions for large-scale digital…
Added 10 days ago
I
Lead Java Developer
INFOYA
Toronto, ON
- $110,000 to $115,000 CAD / year
- Full-time
Experience with SQL and NoSQL databases, data
Added 10 days ago
EI
Principal Engineer
Enercare Inc.
Markham, ON
- Full-time
Are you someone who loves technology, enjoys solving puzzles, and thrives on building things that make a difference? As a Principal Software Engineer, you’ll be a key player in creating…
Added 11 days ago
PA
Senior Data Engineer
Precision AI
Calgary, AB
- Full-time
Strong Python, with solid software engineering fundamentals: testing, code structure, version control, and code review.
Added 11 days ago
Principal Engineer
Enercare
Markham, ON
Are you someone who loves technology, enjoys solving puzzles, and thrives on building things that make a difference? As a Principal Software Engineer, you’ll be a key player in creating…
Added 11 days ago
Senior Data Engineer
Ipsos
Canada
Ingest and assemble data from various disparate sources using a variety of tools, including Python and SQL.
Added 11 days ago
TC
Data Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Strong Postgress SQL skills are essential for data extraction and manipulation.
Added 11 days ago
Technology Lead - Databricks Admin
Infosys
ON
Infosys is seeking an experienced Databricks Administrator with strong expertise in managing, securing, and optimizing Databricks environments on cloud platform: AWS. The ideal candidate…
Added 11 days ago
SA
Senior Data Engineer
Style Analytics
Toronto, ON
- Full-time
We’re looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision-making across the organization. In this role, you’ll take ownership of key…
Added 11 days ago
C
Senior Data Engineer
Confluence
Toronto, ON
- Full-time
We’re looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision-making across the organization. In this role, you’ll take ownership of key…

Cymax Group Technologies

Analytics Engineer

Vancouver, BC, Canada

$100,000 to $120,000 CAD / year

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Job details

Pay: $100,000 to $120,000 CAD / year
Posting language: English
Posted: Sep 23, 2026

Original job description

Who We Are

Are you driven by data, customer success, and bold innovation? Do you thrive in fast-paced environments where hustle meets heart? If you're ready to help shape the future of ecommerce technology, Cymax Group Technologies wants you on our team.

At Cymax Group Technologies, we empower leading brands and retailers to thrive in the digital marketplace through cutting-edge technology, data-driven insights, and seamless logistics. We’re a tech-driven brand accelerator in home, lifestyle, and adjacent categories. Our proprietary platforms - Channel Gate and Freight Club - leverage automation, AI, and over two decades of ecommerce expertise to simplify multi-channel selling, optimize fulfillment, and unlock scalable growth.

We support thousands of partners across North America, helping them navigate complex marketplaces like Amazon, Walmart, Wayfair, and more. Our mission is to make ecommerce effortless, and our team is at the heart of that transformation.

Recognized as one of Canada’s fastest-growing tech companies, Cymax Group is proud to foster a culture where innovation, collaboration, and employee experience come first. If you're passionate about making an impact and being part of a company that’s redefining online retail, we’d love to meet you.

Let’s build the future of ecommerce - together.

This is a Hybrid role, based in Vancouver, Canada

About the Role

Freight Club is building out its Analytics & Insights function, and we’re looking for an Analytics Engineer to help build the data foundation that everything else depends on. This is a hands-on, build-focused role for someone who enjoys working in the layer between raw data and analytics modelling data and building the pipelines that turn messy source data into clean, trusted, well-structured datasets.

You’ll work closely with the Director of Analytics and Insights and alongside the wider analytics team. You won’t do this alone - you’ll be part of a small team, with guidance on architecture and direction - and you’ll play a key role in how our data is transformed and made ready for analysis, reporting, and in time machine learning. It’s a great fit for someone with a few years of experience who is ready to grow their scope.

The immediate focus is helping to audit and rebuild our data foundation on Databricks using a medallion architecture, so the business can be served with clean, reliable data it can trust - using solid SQL and Python skills, and modern AI tooling, along the way.

Why This Role Exists

This person helps build the reliable, well-modelled data layer that makes trustworthy reporting and advanced analytics possible for the business.

What You’ll Do

These are shared team priorities - you’ll focus on the hands-on engineering work and partner with the analytics team and the Director of Analytics and Insights on architecture decisions and the rest.

Build the Foundation

Help audit the current warehouse. Review existing tables and data quality, and contribute to the target-state design and migration plan.
Build out the lakehouse. Help implement a medallion architecture on Databricks - structuring raw, cleansed, and business-ready layers (bronze / silver / gold).
Model the data. Build well-documented data models (e.g. dimensional / star-schema) that are intuitive for analysts and reliable for reporting.
Build the pipelines. Develop and maintain ELT/ETL pipelines using SQL and Python/PySpark, with Delta Lake as the storage foundation.

Make the Data Trustworthy & Usable

Improve data integrity. Build testing, validation, and data-quality checks so the business can trust the numbers.
Automate reporting foundations. Replace manual refreshes with reliable, scheduled, automated data pipelines feeding Power BI and other consumers.
Enable clean BI. Help build the well-structured model layer that Power BI reports sit on, and support the clean-up of existing reporting.
Document and follow good practices. Write clear documentation and follow team conventions and engineering practices (version control, code review, CI/CD for data) so the platform is maintainable.

Support Advanced Analytics, ML & AI

Prepare data for ML. Build clean, reliable datasets and feature-ready tables that make advanced analytics and machine-learning models possible as the team grows its capabilities.
Use modern AI tools. Use current AI tooling - including LLM-based assistants such as Claude - to speed up development (SQL, Python, pipelines, documentation).
Partner with the team and the business. Work with the analytics team and business stakeholders to understand how data is consumed, and design models that fit real analytical and business needs.

Who You’ll Work With

You’ll work most closely with the Director of Analytics and Insights and day to day with the wider analytics team. The business is the primary consumer of the data models, pipelines, and reporting you help build, so you’ll collaborate with stakeholders across the company to understand the data they rely on.

What We’re Looking For

Our ideal candidate is a hands-on analytics or data engineer with strong experience who takes pride in well-modelled data and is excited to help bring order to a messy environment. The traits below matter as much as the technical checklist that follows.

A builder at heart. You enjoy building data models and pipelines, and you care about doing it well, not just quickly.
Curious about architecture. You think in layers, models, and data flows, and want to grow your data architecture skills.
A self-starter. You’re comfortable in a less structured environment, ask good questions, and take initiative on your work.
Quality-focused. You treat data integrity, testing, and documentation as part of the job, not an afterthought.
A collaborative translator. You understand how analysts and the business use data, and design your models and pipelines around those needs.
AI-curious. You actively use modern AI tooling, such as Claude, to work faster, and you’re interested in how ML models use data.

Skills & Experience

Area	What we expect
Databricks & Spark	Hands-on experience with a modern data platform - Databricks preferred (Spark / PySpark, Delta Lake), or similar such as Snowflake.
Lakehouse concepts	Understanding of layered data design (e.g. bronze / silver / gold); hands-on medallion experience is a plus.
Data warehousing	Good grasp of data warehouse/lakehouse fundamentals, with interest in contributing to design and migration work.
Data modelling	Working data modelling skills (dimensional / star-schema and similar) for analytics-ready datasets.
SQL	Strong SQL for transformation and validation - a core, everyday tool in this role.
Python & data manipulation	Solid Python (PySpark a plus) for data manipulation, transformation, and automation.
Machine learning	Basic understanding of ML concepts and what data models need.
AI stacks & LLMs	Comfort using modern AI tooling, including LLM assistants such as Claude, to speed up development.
Pipelines & orchestration	Experience building and scheduling ELT/ETL pipelines (e.g. Databricks Workflows, Airflow, or similar).
Data quality & integrity	Testing, validation, and data-quality practices that make data trustworthy.
BI enablement	Familiarity with Power BI and building the clean model/semantic layer that reporting depends on.
Engineering practices	Version control (Git), code review, and CI/CD applied to data / analytics engineering.

Nice to Have

dbt or similar transformation frameworks.
Experience on a major cloud platform (Azure, AWS, or GCP).
Exposure to ML workflows or feature engineering.
Experience working in an agile, sprint-based environment.

Why It’s a Great Opportunity

This is a great chance to help build a data platform from the foundations up - working on the lakehouse the whole business will rely on, with mentorship from analytics leadership. If you want to grow your skills and help take an organisation from manual, ad-hoc data to a clean, automated, ML-ready platform, this is the role.

Compensation and Benefits

Salary - $100k-$120k per annum

Health and wellness support for you and your family, including an employee assistance program
100% paid premiums for health and dental benefits in Canada
Paid time off
Easy access to online and phone-based counselling services
A genuinely hybrid-flexible work environment

Join Our AI Journey at Cymax Group!

At Cymax Group, we thrive on innovation and entrepreneurship. As an AI-first organization, we are on an exciting journey to continuously grow and evolve our focus on AI, empowering our people at all levels. Our fast-paced environment encourages agility and nimbleness, enabling our team to adapt swiftly to changing market dynamics. We're passionate about continuous learning and growth, offering opportunities for professional development. Our data-driven decision-making ensures we make informed choices that lead to success. If you're excited about making an impact and being part of a dynamic, AI-empowered team, you'll feel right at home here.

Accessibility

We can provide accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

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More about this job

Responsibilities

You will build and maintain reliable data pipelines and models using a medallion architecture on Databricks to support analytics and reporting. You will also collaborate with the analytics team to ensure data integrity and prepare datasets for machine learning and business intelligence consumption.

Requirements

The ideal candidate has hands-on experience with modern data platforms like Databricks, strong SQL and Python skills, and expertise in data modeling. You should be a self-starter who is quality-focused and comfortable working in a collaborative, AI-enabled environment.

Skills

Databricks
Spark
PySpark
Delta Lake
SQL
Python
Data modeling
Data warehousing
ETL
ELT
Power BI
Git
CI/CD
Machine learning
Data quality
Medallion architecture

Benefits

Health and wellness support
Employee assistance program
100% paid premiums for health and dental benefits
Paid time off
Online and phone-based counselling services

Visa sponsorship

Not detected in the job text

Keywords

Analytics Engineer
Databricks
Spark
PySpark
Delta Lake
SQL
Python
Data Modeling
Data Warehousing
ETL
ELT
Power BI
Git
CI/CD
Machine Learning
Data Quality
Medallion Architecture
Lakehouse
Ecommerce
Automation
AI
LLM
Claude
Data Pipelines
Dimensional Modeling
Star-schema
Data Integrity
Semantic Layer
Version Control
Agile

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