Data engineer jobs in Toronto, ON and nearby

Within 25 km

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Added 14 days ago
R
Data Engineer, RBC Amplify 2027, Toronto
RBC
Toronto, ON
- Full-time
As a Data Engineer you will collaborate, innovate, ideate and build in a flexible, start-up environment.
Added 14 days ago
AI
Senior AWS Data Engineer(Infrastructure ,AWS CDK)
Apptoza Inc.
Toronto, ON
- Contract
Role: Senior AWS Data Engineer(Infrastructure ,AWS CDK)
Added 14 days ago
IG
Data Engineer
Insight Global
Toronto, ON
- $60 to $80 CAD / hour
- Contract
We are seeking a Data Engineer to support a large enterprise transformation focused on building data pipelines, integrating data, and migrating data workloads from on-premises environments…
Added 14 days ago
TC
Data Engineer
Tata Consultancy Services
Mississauga, ON
- $100,000 to $130,000 CAD / year
- Full-time
Collaborate with business users, data engineers, and architects to gather requirements and recommend AI-driven solutions.
Added 14 days ago
IG
Data Engineer
Insight Global
Toronto, ON
- $85 to $89 CAD / hour
- Contract
Data Engineer to support a large enterprise transformation focused on building data pipelines, integrating data, and migrating data workloads from on-premises environments to AWS.
Added 14 days ago
IG
Data Engineer
Insight Global
Toronto, ON
- $70 to $82 CAD / hour
- Contract
We are seeking a Data Engineer to support a large enterprise transformation focused on building data pipelines, integrating data, and migrating data workloads from on-premises environments…
Added 14 days ago
S
Intermediate Data Engineer
Swoon
Toronto, ON
- $80 to $90 CAD / hour
- Contract
We are seeking a Data Engineer with experience in data engineering, cloud technologies, and machine learning operations to support the development and improvement of data capabilities.
Added 15 days ago
MC
Senior Data Engineer Azure Data Factory Developer (35968)
Myticas Consulting
Toronto, ON
- Contract
Our client is seeking two Senior Data professionals to support a data engineering and integration initiative: one Data Engineer specializing in Databricks and Apache Spark, and one Azure…
Added 15 days ago
TC
Sr. IFRS17 Data Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Demonstrated knowledge of IFRS 17, data analysis, and the insurance domain.
Added 16 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 17 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 17 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 17 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 17 days ago
V
AWS Data Engineer
Virtusa
Toronto, ON
- Full-time
Implement security and data protection measures.
Added 17 days ago
SL
Data Engineer – Banking / Financial Domain
Staffingine LLC
Toronto, ON
- Contract
Job Title: Data Engineer – Banking / Financial Domain
Added 17 days ago
A
AI Cloud Data Engineer
Altera
Toronto, ON
- Full-time
Altera is seeking a talented and driven AI Data Engineer to design, develop, and deploy AI-powered applications, data platforms, and machine learning solutions that transform data into…
Added 17 days ago
AI
Senior AWS Data Engineer - (CDK)Cloud Development Kit , Infrastructure as Code(IaC)
Apptoza Inc.
Toronto, ON
- Contract
Role: Senior AWS Data Engineer - (CDK)Cloud Development Kit , Infrastructure as Code(IaC)
Added 17 days ago
GC
Data Engineer
GEI Consultants, Inc.
Markham, ON
- $90,000 to $150,000 CAD / year
- Full-time
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on…
Added 17 days ago
AS
Lead Data Engineer
Alquemy Search & Consulting
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
The Lead, Data Engineering will join the Software Engineering team that leads the delivery of data and application solutions that enable Global Investments (GI) and Corporate teams to…
Added 17 days ago
GC
Data Engineer
GEI Consultants, Inc.
Vaughan, ON
- $90,000 to $150,000 CAD / year
- Full-time
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on…
Added 17 days ago
NP
Sr. Snowflake Data Engineer
Next Pathway
Toronto, ON
- Contract
Next Pathway is seeking an experienced Snowflake Data Engineer to support a major enterprise client that is building a new cloud data platform on Snowflake. This is a greenfield…
Added 17 days ago
SL
Senior Data Engineer
Sun Life
Toronto, ON
- Full-time
The Client Experience Office (CXO) is an important pillar of Sun Life Canada’s Data and Analytics growth and corporate strategy and as such, is seeking experienced data engineering…
Added 17 days ago
W
Senior/Lead Azure Data Engineer
Wipro
Toronto, ON
- Full-time
We are seeking a highly skilled Senior/Lead Azure Data Engineer to design, develop, and optimize large-scale cloud-based data solutions on Microsoft Azure. The ideal candidate will have…
Added 17 days ago
SL
Data Engineer
Staffingine LLC
Toronto, ON
- Full-time
Ideal Candidate Profile: A hands-on Data Engineer with strong Databricks, Python, Azure database, and Oracle experience. AI experience will be an added advantage.
Added 17 days ago
B
Data Engineer, Fraud Predictive Analytics
BMO
Toronto, ON
- Full-time
…business/groups. Drives innovation through the development of Data & AI products that can be leveraged across Financial Crimes Unit to build advanced fraud detection, fraud investigation,…

Alquemy Search & Consulting

Lead Data Engineer

Toronto, ON, Canada

$100,000 to $120,000 CAD / year · Full-time

Apply on LinkedIn About employer

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Job details

Pay: $100,000 to $120,000 CAD / year
Job type: Full-time
Apply by: Nov 22, 2026
Posting language: English
Posted: Oct 23, 2026

Original job description

Lead, Data Engineer

Full-time

Hybrid:** 4 days onsite/week, Monday–Thursday

The Lead, Data Engineering will join the Software Engineering team that leads the delivery of data and application solutions that enable Global Investments (GI) and Corporate teams to analyze opportunities, support investment decision-making, optimize portfolio insights, and strengthen enterprise management capabilities. Reporting to the Manager, Software Engineering, the Lead, Data Engineering works across investment teams including Capital Markets, Infrastructure, Private Equity, Private Capital and Ventures, and Corporate, in close collaboration with Finance, Risk & Compliance teams. As a key member of the Software Engineering team, the Lead, Data Engineering will be hands-on across the full data solution delivery lifecycle, leading the design, development, deployment, and operation of scalable data solutions. This role requires the ability to build trusted relationships with business and technology stakeholders, understand business priorities, define solution architectures, and deliver reliable data products that enable analytics, AI-driven capabilities, and operational excellence. The individual will collaborate closely with Power BI developers, Data Scientists, Investment Professionals, Architects, and Platform Teams, providing technical leadership and integration expertise across one or more application teams.

Responsibilities

Translate business requirements into scalable, secure, and reliable data solutions.
Lead the design, development, deployment, and operational support of data platforms, pipelines, and products using modern cloud and engineering practices.
Define and execute testing strategies, including unit, integration, performance, data quality, and automated regression testing.
Source, transform, and deliver structured and unstructured data assets for analytics, reporting, operational, and AI-enabled use cases.
Develop and maintain ELT/ETL pipelines that achieve high levels of reliability, scalability, performance, and security.
Optimize data pipelines, data models, and platform components for performance, cost efficiency, and operational excellence.
Implement and maintain CI/CD practices, monitoring, observability, auditing, and operational controls to support production-grade solutions.
Provision and manage Azure resources, ensuring appropriate security, governance, and cost management.
Troubleshoot complex technical issues and drive continuous improvement across data solutions and platforms.

Qualifications

Post-secondary education in Computer Science, Software Engineering, Information Technology, or a related discipline.

Required Skills

5+ years delivering complex data engineering and analytics solutions using Microsoft Azure. Experience in the financial services or investment industry is preferred.
Strong understanding of data engineering, cloud, and software engineering best practices, with experience developing and implementing operational procedures, standards, and documentation.
Consistent track record of building deep technical relationships. Experience in aligning expectations across various partners.
Strong analytical and troubleshooting skills, with the ability to trace data lineage, investigate complex workflows, and resolve technical issues with minimal direction.
Motivated and keen to work in a collaborative environment with a focus on team success, knowledge sharing, continuous improvement, and delivering business value.
Enterprise-scale experience designing, building, and supporting cloud-based data platforms, data products, and scalable ELT/ETL solutions on Microsoft Azure.
Strong experience with data architecture, data modeling, data warehousing, and dimensional modeling methodologies such as Kimball and Data Vault 2.0.
Experience with Snowflake.
Strong hands-on experience with Python, PySpark, and SQL.
Deep expertise and Subject Matter Expertise (SME) in Snowflake and dbt, including data modeling, transformation, testing, deployment and performance optimization.
Experience with data orchestration tools such as Prefect, Dagster, Airflow, ADF, or Synapse.
Experience designing and developing Azure Functions and Azure Logic Apps for data integration, automation, and event-driven solutions.
Experience designing data solutions that support AI-enabled use cases, semantic search, or unstructured data processing.
Proven experience implementing and maintaining CI/CD pipelines using GitHub Actions.
Experience translating business requirements into scalable technical solutions and collaborating effectively with business and technology stakeholders.
Experience working in the financial services, asset management, pension, investment management, or similar data-intensive industries.

Preferred Skills

Experience with Azure Databricks.
Experience with Microsoft Fabric.
Experience with Power BI report development, semantic models, and dashboard design.
Experience with containerization and container orchestration technologies.
Experience with Infrastructure-as-Code (IaC) and cloud automation practices.

Apply on LinkedIn About employer

More about this job

Responsibilities

Lead the design, development, deployment, and operational support of secure, scalable data platforms, pipelines, and products on Azure. Translate business needs into reliable data solutions, optimize performance and cost, and implement testing, CI/CD, monitoring, governance, and operational controls.

Requirements

Requires post-secondary education in computer science, software engineering, information technology, or a related discipline, plus at least five years delivering complex data engineering and analytics solutions using Microsoft Azure. Candidates should have strong hands-on expertise in Snowflake, dbt, Python, PySpark, SQL, data architecture and modeling, orchestration, CI/CD, and stakeholder collaboration; financial or investment industry experience is preferred.

Skills

Microsoft Azure
Snowflake
dbt
Python
PySpark
SQL
Data Architecture
Data Modeling
Data Warehousing
ETL/ELT Pipelines
Data Orchestration
Azure Functions
Azure Logic Apps
GitHub Actions
CI/CD
Data Quality Testing

Visa sponsorship

Not detected in the job text

Keywords

Microsoft Azure
Snowflake
dbt
Python
PySpark
SQL
Azure Databricks
Microsoft Fabric
Power BI
Prefect
Dagster
Apache Airflow
Azure Data Factory
Azure Synapse
Azure Functions
Azure Logic Apps
GitHub Actions
CI/CD
ETL
ELT
Data Architecture
Data Modeling
Data Warehousing
Kimball Methodology
Data Vault 2.0
Semantic Search
Unstructured Data Processing
Infrastructure As Code
Containerization
Financial Services

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Data engineer jobs in Toronto, ON and nearby

Data Engineer, RBC Amplify 2027, Toronto

Senior AWS Data Engineer(Infrastructure ,AWS CDK)

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Intermediate Data Engineer

Senior Data Engineer Azure Data Factory Developer (35968)

Sr. IFRS17 Data Engineer

RQ11576 – Data Ops/Cloud Data Engineer – Senior

RQ11576 – Data Ops/Cloud Data Engineer – Senior

RQ11576 – Data Ops/Cloud Data Engineer – Senior

RQ11576 – Data Ops/Cloud Data Engineer – Senior

AWS Data Engineer

Data Engineer – Banking / Financial Domain

AI Cloud Data Engineer

Senior AWS Data Engineer - (CDK)Cloud Development Kit , Infrastructure as Code(IaC)

Data Engineer