Markham, On Bi developer Jobs – 71 Openings This Week

Senior Data Science Developer - Toronto
Randstad —Toronto, ON
- $408.62–$453.32 a month
- Temporary
- Azure
- SQL
- Python
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2d
Infrastructure & Capital Projects – Data Engineering Specialist, COM
Accenture —Toronto, ON
- $82,000–$123,000 a year
- Full-time
- Azure
- Oracle
- DevOps
Data Science Manager
Vistar Analytics —Toronto, ON
- $150,000–$250,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
- Dental care
Quick apply
9d
Senior Data Engineer
RAENAN CONSULTANCY INC. —Toronto, ON
- $70,440.45–$152,634.69 a year
- Full-time
- Hybrid work
- Azure
- CAD
- DevOps
Quick apply
2d
Senior Software Engineer - Cloud Partner Integrations
ClickHouse —Toronto, ON
- On call
- Remote
- JavaScript
- Paid time off
14d
Snowflake Developer
I8IS INC. —Markham, ON
- Full-time
- SQL
- AWS
- Communication skills
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Business Information Architect
Genetec —Toronto, ON
- Full-time
- Remote
- Computer science
- Computer Science
- Master's degree
- Tuition reimbursement
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Senior Data Modeller Specialist – GCP Cloud
Recutify Inc. —Toronto, ON
- Full-time
- Hybrid work
- SQL
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Data Team Lead
Redpath Mining —Vaughan, ON
- Overtime
- Azure
- Computer Science
- DevOps
Talend Lead
Recutify Inc. —Toronto, ON
- Full-time
- Azure
- Oracle
- SQL
Quick apply
Senior Data Engineer
Alpaca —Toronto, ON
- On call
- Remote
- DevOps
- SQL
- APIs
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2d
Intermediate Backend Engineer
Lush Handmade Cosmetics —Toronto, ON
- $80,000–$89,000 a year
- Full-time
- Hybrid work
- SQL
- APIs
- Python
Quick apply

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Infrastructure & Capital Projects – Data Engineering Specialist, COM
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Bachelor’s degree in Computer Engineering, Data Science, or related discipline; Master’s degree preferred. Design and implement automated ingestion pipelines…
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Infrastructure & Capital Project- Senior Commercial Manager, COM
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A valid driver’s license is required to travel to various project locations, public meetings, etc. Proven knowledge of project management principles and…
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25-199 - Data Engineer - Azure Databricks - 11 month contract - Oshawa - Hybrid remote
CorGTA —Oshawa, ON
Will employ best practice in development, security, and accessibility and design to achieve the highest quality of service for our customers.
$72–$90 an hour
Data Science Manager
Vistar Analytics —Toronto, ON
This is a hands-on leadership position for someone who can operate across business strategy, analytics, technical architecture, model development, client…
$150,000–$250,000 a year
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9d

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bi developer jobs near markham, on

Senior Data Science Developer - Toronto

Randstad -
Toronto, ON

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Job details

Temporary
$408.62–$453.32 a month
2 days ago

Qualifications

Power BI
Azure
SQL
Natural language processing
Python
Analytics

Full job description

We are seeking a versatile Senior Data Science Developer to build, scale, and automate an enhanced data and analytics foundation. In this dual-function role, you will bridge data engineering and advanced data science, designing automated end-to-end data pipelines while integrating machine learning and artificial intelligence techniques. Working within a modern cloud ecosystem, you will architect Lakehouse structures, construct robust data pipelines, implement predictive analytic models, and build high-impact visualizations to drive data-informed decision support.

Location: Toronto, ON (Hybrid – 2 days onsite)

Duration: 6-month contract

Public Sector Experience: Required.

Advantages
Dual-Track Impact: Combine data engineering pipeline development with advanced data science and ML/AI modeling.

Modern Azure Stack: Work hands-on with Azure Databricks Lakehouse, Azure Data Factory, Azure Synapse, Python, and Power BI.

Hybrid Flexibility: Enjoy a balanced work model with 2 days per week onsite in Toronto.

End-to-End Ownership: Drive projects from initial ingestion and Lakehouse structuring through to AI modeling and visualization.

Responsibilities
Architect, design, and code cloud-based data and analytics products in collaboration with cross-functional product teams.

Design, create, and maintain cloud-based data lake and Lakehouse structures utilizing medallion architecture standards.

Build and automate enterprise data pipelines using Python, SQL, Azure Data Factory, and Azure Databricks for ETL and data ingestion workflows.

Identify, prioritize, and integrate advanced AI techniques—including machine learning, natural language processing (NLP), forecasting, and scenario analysis—into analytics products.

Build, deploy, and maintain standardized predictive analytic models and interactive Power BI dashboards.

Assess technical requirements, troubleshoot complex multi-component pipeline failures, and optimize system performance across the cloud stack.

Author technical documentation, methods guides, and conduct knowledge transfer sessions to sustain pipeline capabilities long-term.

Qualifications
Cloud Platform & Analytics Experience: Extensive experience with multiple cloud-based data platforms and programming tools to build, operate, and maintain analytics products (Strictly Required).

Lakehouse & Medallion Architecture: Proven experience designing, building, and maintaining cloud data lake/Lakehouse structures, automated pipelines, medallion architecture, and data visualizations (Strictly Required).

Modern Azure Tech Stack: Deep hands-on experience with Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, Azure Synapse, Power BI, Python, SQL, and Azure Data Factory (Strictly Required).

Dual Engineering & Data Science Scope: Proven ability to cover both core data engineering/pipeline tasks and advanced data science specialist deliverables (ML/NLP/forecasting) (Strictly Required).

Problem-Solving & Needs Assessment: Demonstrated background evaluating technical needs and resolving complex, multi-component platform failures (Strictly Required).

Public Sector Expertise: Prior experience working within public sector IT environments (Strictly Required).

Knowledge Transfer: Practical experience creating technical documentation and delivering structured knowledge transfer to technical staff.

Summary
If you're interested in the "Senior Data Science Developer" role based in Toronto, we encourage you to apply online at www.randstad.ca.
Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to [email protected] to ensure their ability to fully participate in the interview process.

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bi developer jobs in markham, on

Senior Data Science Developer - Toronto

Infrastructure & Capital Projects – Data Engineering Specialist, COM

Data Science Manager

Senior Data Engineer

Senior Software Engineer - Cloud Partner Integrations

Snowflake Developer

Business Information Architect

Senior Data Modeller Specialist – GCP Cloud

Data Team Lead

Talend Lead

Senior Data Engineer

Intermediate Backend Engineer

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