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Added 9 mins ago
C
Senior Application Developer- Azure
CIBC
Toronto, ON
- Full-time
You can demonstrate experience. 2-3 years as an Application Developer/Support and Integration Specialist wearing multiple hats to help support internal clients. You must have good knowledge…
Added 9 mins ago
KC
Senior Data Consultant – Databricks
Keyrus Canada
Toronto, ON · Montreal, QC
- Full-time
Azure DevOps, CI/CD practices, version control, and development workflows.
Added 25 mins ago
TR
Data Developer III
Teck Resources Limited
Vancouver, BC · Greater Vancouver, BC
- $107,000 to $132,000 CAD / year
- Full-time
Reporting to the Lead, the Senior Data Developer is responsible for supporting the development of reliable site data that enables Operations performance reporting and analytics.
Added 25 mins ago
Data Engineer, Lead
University of Toronto
Toronto, ON
The Lead must keep abreast of current tools/technologies including Informatica, SQL Service, Azure Data Factory, Databricks, Azure Databricks etc. The Lead will also have knowledge…
Added 25 mins ago
CA
Data Engineering & Platforms Manager
Canadian Addiction Treatment Centres (CATC)
Markham, ON
- Full-time
Reporting to the Director of Information Technology, the Manager will have primary responsibility for CATC's Azure SQL data warehouse and the Python, SQL and dbt-based pipelines,…
Added 25 mins ago
T
Test Analyst
TalentHub.io
Canada
- Full-time
Familiarity with manual testing techniques and defect tracking tools (e.g., JIRA, Azure DevOps, Bugzilla).
Added 41 mins ago
RE
Data Operations Engineer AI - Co-op Student (Winter 2027)
Rodan Energy Solutions Inc.
Mississauga, ON
- Internship
Build automation workflows using Azure native tools, scripting, and approved AI tools where appropriate.
Added 41 mins ago
MD
Application Developer - ITS3
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
- Full-time
Demonstrated experience as a lead developer building and maintaining applications using modern languages and frameworks C#, .NET, and Java while leveraging containerization tools such as…
Added 41 mins ago
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Manager, Actuarial Insurance Solutions (AIS) - Property & Casualty
Deloitte
Toronto, ON
- Full-time
Collaborate with data engineers and technology specialists to deliver cloud-based actuarial solutions using Azure, AWS, and Google Cloud, including scalable pricing, reserving, and capital…
Added 41 mins ago
IA
AI/ML Platform Engineer – Containers & GPU Infrastructure - Canada
IT Accel, Inc.
Toronto, ON
- Full-time
…them on Kubernetes, NVIDIA GPU infrastructure and Microsoft…
Added 41 mins ago
B
Senior Security Operations Analyst
BRP
Valcourt, QC
- Full-time
Experience with the following tools: Cyberark, Zscaler, AI, Azure, GCP/GWS.
Added 41 mins ago
T
Product Manager
TEEMA
Toronto, ON
- Full-time
Strong working knowledge of Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, LLMs, RAG, machine learning, analytics, and enterprise data platforms, including an understanding of…
Added 55 mins ago
T
Senior Manager, Analytics and Insights
TD
Toronto, ON
- Full-time
…visualization tools (i.e., SQL, Hadoop, R, Python, Microsoft Azure / Databricks, Tableau / Power BI,…
Added 55 mins ago
T
Software Engineer II
TD
Toronto, ON · Montreal, QC
- Full-time
Works as the senior or lead developer and coaches/guides team members within area of expertise
Added 55 mins ago
I.T.C. Infrastructure Technologist
City of Brandon
Brandon, MB
Deploying cloud technology (Azure, AWS, Google)
Added 55 mins ago
IT Support Analyst (12 Month Contract)
Greenfield Global Inc.
Chatham-Kent, ON · Chatham, ON
Experience managing user accounts in Microsoft Entra ID (Azure) and supporting devices with Microsoft Intune.
Added 55 mins ago
AI
Testing/QA Specialist
Avanciers Inc.
Toronto, ON
- Contract
Experience with defect tracking tools like JIRA, Azure DevOps, or similar.
Added 55 mins ago
RT
Senior AI Product Manager
Russell Tobin
Toronto, ON
- $80 to $90 CAD / hour
- Contract
Strong working knowledge of Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, LLMs, RAG, machine learning, analytics, and enterprise data platforms, including an understanding of…
Added 55 mins ago
T
Security Specialist-Security Architect
TEEMA
Regina, SK
- Contract
Establish security requirements for cloud platforms, including AWS, Azure, and Google Cloud.
Added 56 mins ago
C
Director, Product Management, Global Asset Management
CIBC
Toronto, ON
- Full-time
You're digitally savvy. You demonstrate working knowledge of Python, Databricks/GDN, Azure, data engineering, platform engineering, APIs, microservices and production analytics…
Added 56 mins ago
OU
Quality Assurance Analyst
ONTARIO UNIVERSITIES APPLICATION CENTRE
Guelph, ON
- Full-time
Experience using defect tracking, test management or project management tools (e.g., Jira, Azure DevOps).
Added 56 mins ago
S
AI Engineer - Senior Consultant
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Technical and conversational fluency in AI, GenAI, Machine Learning and at least one of the major clouds (AWS, GCP, Azure)
Added 56 mins ago
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Data Science Developer - Senior (Statistics/ Predictive Modelling and Machine Learning/LLM/RAG exp)
Bevertec
Toronto, ON
- $65 to $70 CAD / hour
- Contract
Job Role: Data Science Developer - Senior (Statistics/ Predictive Modelling and Machine Learning/LLM/RAG exp)
Added 56 mins ago
S
AI/ML Architect – Principal
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Design scalable, secure architectures that integrate across cloud-native and hybrid environments (AWS, Azure, GCP).
Added 56 mins ago
V
Full Stack Engineer
VySystems
Toronto, ON
- Full-time
Experience with Azure DevOps, Git, CI/CD pipelines, automated testing, and deployment automation.

Altis

Data Analytics Lead

Markham, ON, Canada

$110,000 to $125,000 CAD / year · Full-time

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Applications open in a new tab.

Job details

Pay: $110,000 to $125,000 CAD / year
Job type: Full-time
Apply by: Dec 4, 2026
Experience: 5+ years of experience as a Data Engineer, ETL Developer, or similar data-focused role.
Posting language: English
Posted: Nov 4, 2026

Original job description

Location: Markham, ON (Hybrid – 3 days on-site)

Language: Strong written and verbal communication skills in English are required.

About the Opportunity

Our client, a well-established organization in the corporate sector, is seeking a Senior Data Engineer / Senior BI / Analytics Engineering Lead to design, build, and optimize scalable data solutions that support business intelligence, reporting, and advanced analytics. This is an exciting opportunity to join a growing team where you'll play a key role in developing reliable data pipelines, improving data quality, and enabling data-driven decision-making across the organization.

This role is ideal for an experienced data engineering professional who enjoys solving complex data challenges, working with large datasets, and building modern data solutions using SQL and Python (Pandas).

What's In It for You

Join a collaborative and innovative team that values continuous improvement
Work on impactful enterprise data initiatives with modern technologies
Opportunity to influence the organization's data architecture and engineering best practices
Hybrid work environment with opportunities for professional growth and career advancement

Your Responsibilities

Design, develop, and maintain scalable ETL/ELT data pipelines to ingest, transform, and deliver high-quality data.
Write, optimize, and troubleshoot complex SQL queries, stored procedures, and database objects to support business and analytical needs.
Develop robust data transformation workflows using Python, with a strong emphasis on the Pandas library for data manipulation and processing.
Build and maintain enterprise data models, data warehouses, and data marts to support reporting and analytics.
Ensure data accuracy, consistency, and integrity through validation, testing, and monitoring processes.
Collaborate with business stakeholders, analysts, and developers to understand data requirements and deliver scalable solutions.
Identify opportunities to improve data pipeline performance, automation, and overall system efficiency.
Support data governance initiatives by implementing best practices for data quality, security, and documentation.
Contribute to code reviews, technical documentation, and continuous improvement of engineering standards.

Skills and Qualifications

5+ years of experience as a Data Engineer, ETL Developer, or similar data-focused role.
Advanced SQL skills with demonstrated experience writing and optimizing complex queries against large datasets.
Strong Python development experience, including extensive use of the Pandas library for data transformation, cleansing, and analysis.
Experience designing and maintaining ETL/ELT pipelines and data integration workflows.
Hands-on experience with relational databases such as SQL Server, PostgreSQL, Oracle, or MySQL.
Experience working with cloud-based data platforms (Azure, AWS, or Google Cloud) is considered a strong asset.
Familiarity with data warehousing concepts, dimensional modeling, and performance optimization.
Experience with version control tools such as Git and modern software development practices.
Strong analytical and problem-solving skills with excellent attention to detail.
Excellent communication skills with the ability to work effectively across technical and business teams.

Nice to Have

Experience with orchestration tools such as Apache Airflow, Azure Data Factory, or similar.
Exposure to Spark, PySpark, or distributed data processing frameworks.
Experience with Power BI, Tableau, or other business intelligence platforms.
Knowledge of CI/CD pipelines and automated testing for data engineering solutions.

Note from the Hiring Manager

We're looking for a hands-on Senior Data Engineer who enjoys building reliable, scalable data solutions. If you're passionate about writing high-performance SQL, developing robust Python solutions using Pandas, and improving how organizations leverage data, we'd love to hear from you.

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More about this job

Responsibilities

Design, build, and maintain scalable ETL/ELT pipelines, data models, warehouses, and marts using SQL and Python with Pandas. Improve data quality, performance, automation, and governance while collaborating with stakeholders and supporting engineering standards.

Requirements

Requires 5+ years of experience in data engineering, ETL development, or a similar role, with advanced SQL and strong Python/Pandas skills. Candidates should have experience with data pipelines, relational databases, data warehousing, and version control; cloud platforms are an asset.

Skills

Advanced SQL
Python
Pandas
ETL/ELT Pipelines
Data Integration
Relational Databases
Data Warehousing
Dimensional Modeling
Data Quality
Data Governance
Git
Cloud Data Platforms
Apache Airflow
Azure Data Factory
Spark
Power BI

Benefits

Professional Growth
Career Advancement

Visa sponsorship

Not detected in the job text

Keywords

SQL
Python
Pandas
ETL
ELT
Data Pipelines
Data Integration
Data Transformation
Data Engineering
Data Warehousing
Data Marts
Dimensional Modeling
Relational Databases
SQL Server
PostgreSQL
Oracle
MySQL
Azure
AWS
Google Cloud
Git
Apache Airflow
Azure Data Factory
Spark
PySpark
Power BI
Tableau
CI/CD
Data Governance
Data Quality

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