Data engineer jobs in Toronto, ON and nearby

Data engineer jobs within 25 km of Toronto, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 3, 2026

Hiring at a glance

View jobs

Open jobs: 415
Employers: 210

Advertised starting pay

Average starting payCAD / year: $99,363Across 32 listings
Average starting payCAD / hour: $63.50Across 24 listings
Average starting payUSD / year: $109,286Across 14 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 43%179 listings
On-site: 56%232 listings

Not specified: 1% (4 listings)

Employers hiring include S M Software Solutions Inc (29), BrainStation (11), J&M Group (11).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data engineer jobs in Toronto, ON and nearby

Within 25 km

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Added 10 days ago
TC
Data Engineer - Big Data / PySpark
Tata Consultancy Services
Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
Added 10 days ago
Data Engineer
Capgemini
Mississauga, ON
Added 10 days ago
UC
Data Engineer
UniSysTech Consulting
Toronto, ON
- Contract
We are looking for a Data Engineer to design, build, and automate scalable data pipelines. In this role, you will leverage strong Python and SQL expertise to extract, transform, and load…
Added 11 days ago
TT
Data Engineer (Basketball Strategy)
Toronto Tempo
Toronto, ON
- Full-time
Added 11 days ago
H
AWS Data Engineer
HCLTech
Toronto, ON
- Full-time
🚀 Hiring: Fulltime AWS Data Engineer | 5+ Years Experience
Added 11 days ago
AT
Senior Data Engineer
Arkhya Tech Inc.
Toronto, ON
- Contract
This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable…
Added 11 days ago
C
AI Data Engineer
Citi
Mississauga, ON
- Full-time
We are seeking a highly motivated AI Data Engineer to design, develop, and deploy AI-powered applications and agentic solutions that enhance business processes and client delivery…
Added 11 days ago
Senior Data Engineer
Capgemini
Mississauga, ON
Added 11 days ago
J
Senior DataOps / Cloud Data Engineer
Joblinxsapp
Toronto, ON
- Full-time
Added 11 days ago
AI
Senior AWS Data Engineer
Apptoza Inc.
Toronto, ON
- Contract
Added 11 days ago
EC
GCP Data Engineer
Experis Canada
Toronto, ON
- Contract
We are looking for an experienced GCP Data Engineer (5+ years) with expertise in:
Added 11 days ago
RI
Senior Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable…
Added 11 days ago
Lead Data Engineer
Gore Mutual Insurance
Toronto, ON
Added 11 days ago
TC
Azure Data Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Added 12 days ago
P
DataOps/Cloud Data Engineer
ProxyLink
Toronto, ON
- $95 to $100 CAD / hour
- Contract
ProxyLink is working with a client hiring for an experienced Data Engineer to design,
Added 12 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…
Added 12 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…
Added 12 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…
Added 12 days ago
LI
DataOps/Cloud Data Engineer
Lotus IT Solutions
Toronto, ON
- Contract
The Ministry of Public and Business Service Delivery and Procurement, through the Government Services Integration Cluster, is seeking a Senior DataOps/Cloud Data Engineer to jo
Added 12 days ago
PT
Senior Data Engineer – Capital Markets
Precision Technologies
Mississauga, ON
- Contract
Hiring: Senior Data Engineer – Capital Markets
Added 12 days ago
C
Sr Cloud Data Engineer
CIBC
Toronto, ON
- Full-time
Added 12 days ago
TI
Data Engineer
Tekgence Inc
Markham, ON
- Contract
Experience in the insurance industry and ability to understand underwriting data terminology
Added 12 days ago
EC
GCP Data Engineer
Experis Canada
Toronto, ON
- Contract
Design, build, and maintain scalable data pipelines on GCP, primarily using BigQuery.
Added 12 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…
Added 12 days ago
MI
DataOps/Cloud Data Engineer - Senior
Maarut Inc
Toronto, ON
- Contract
Design, build, automate and optimize complex data ETL/ELT processes using Databricks, Delta Live Tables (DLT) and equivalent.

Citi

AI Data Engineer

Mississauga, ON, Canada

$94,300.00 - $141,500.00 · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $94,300.00 - $141,500.00
Job type: Full-time
Experience: Experience: 5+ years of professional experience in software development. 2+ years working with AI/ML, Generative AI, or intelligent automation solutions.
Posting language: English
Posted: Oct 22, 2026

Original job description

We are seeking a highly motivated AI Data Engineer to design, develop, and deploy AI-powered applications and agentic solutions that enhance business processes and client delivery capabilities. This role is primarily hands-on and requires strong software engineering, data engineering, and AI/ML expertise with a focus on building scalable enterprise solutions.

The successful candidate will work closely with architects, product owners, data scientists, and engineering teams to implement AI-driven capabilities including LLMs, Agentic AI workflows, Retrieval-Augmented Generation (RAG), and intelligent automation solutions within a regulated financial services environment.

Key Responsibilities:

Agent Design and Development: Design and implement intelligent agents, including their perception, reasoning, planning, and action execution modules.

Data Engineering & Integration: Design and develop data pipelines supporting AI and machine learning workloads. Ensure data quality, lineage, governance, and security requirements are met.

Machine Learning Integration: Integrate various machine learning models (e.g., LLMs, reinforcement learning, predictive models) to enhance agent capabilities and decision-making.

Software Engineering: Develop production-grade applications and APIs using Python and/or Java. Build reusable services, microservices, and AI components.

Framework and Tooling: Utilize and contribute to agentic AI frameworks and development tools.

Research and Innovation: Stay abreast of the latest advancements in AI, particularly in agent-based systems, autonomous AI, and related fields, and propose innovative solutions.

Collaboration: Work closely with cross-functional teams including AI researchers, data scientists, product managers, and software engineers to integrate agentic solutions into broader products and services.

Documentation: Create comprehensive technical documentation for agent designs, implementations, and operational procedures.

Required Qualifications:

Experience: 5+ years of professional experience in software development. 2+ years working with AI/ML, Generative AI, or intelligent automation solutions. Financial services experience preferred.

Programming: Strong proficiency in Python, SQL; Java is a plus.

AI/ML Expertise:

Experience working with Generative AI and LLM-based applications.

Knowledge of Prompt Engineering, RAG, embeddings, vector DBs, and agentic frameworks.

Familiarity with LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.

Experience utilizing OpenAI, Azure, Anthropic, Gemini, Bedrock, or equivalent platforms.

Understanding of machine learning fundamentals and model evaluation technique.

Data Engineering: Experience designing and supporting data pipelines and data integration workflows.

Problem-Solving: Excellent analytical and problem-solving skills with a creative approach to complex challenges.

Communication: Strong written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences.

Platforms: Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).

Domain – Finance preferable

Collaboration – Able to collaborate within and across teams and organizations

Education:

Bachelor’s degree/University degree or equivalent experience

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Primary Location Full Time Salary Range:

$94,300.00 - $141,500.00

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

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This job opening is for an existing job vacancy.

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

Apply About employer

More about this job

Responsibilities

Design and develop intelligent agents and data pipelines to support AI-powered applications and business processes. Collaborate with cross-functional teams to implement LLMs, RAG, and automated solutions within a financial services environment.

Requirements

Requires 5+ years of software development experience with at least 2 years in AI/ML or Generative AI. Proficiency in Python, SQL, and experience with cloud platforms and agentic frameworks is essential.

Skills

Python
SQL
Java
Generative AI
LLMs
RAG
Agentic AI
LangChain
LangGraph
CrewAI
AutoGen
Data Engineering
Cloud Platforms
Docker
Kubernetes
Machine Learning

Visa sponsorship

Not detected in the job text

Keywords

AI Data Engineer
Generative AI
LLM
Agentic AI
RAG
Python
SQL
Java
LangChain
LangGraph
CrewAI
AutoGen
Data Pipelines
Machine Learning
Cloud Platforms
AWS
Azure
GCP
Docker
Kubernetes
Financial Services
Software Engineering
Intelligent Automation
Vector DBs
Prompt Engineering
Data Governance
Microservices
API Development
Reinforcement Learning
Predictive Models

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