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Added 8 mins ago
Senior Developer
George Brown Polytechnic
Toronto, ON
Serves as the lead developer and senior technical resource for application development initiatives.
Added 8 mins ago
T
Business Analyst
Teleperformance
Toronto, ON · TPCA Toronto
- Full-time
Develop a comprehensive global business reporting dashboard using SQL based on business needs.
Added 8 mins ago
T
Business Analyst
Teleperformance
Toronto, ON · TPCA Toronto
- Full-time
Hands-on experience with SQL for Data Extraction, Data Manipulation, Data Integration and Performance Optimization
Added 22 mins ago
A
Senior Business Analyst
Allshores
Halifax, NS
- Full-time
Working knowledge of SQL and data modelling and analysis concepts.
Added 22 mins ago
IG
Application Modernization Specialist
Insight Global
Toronto, ON
- $50 to $60 CAD / hour
- Contract
Strong Spring/Spring Boot, REST API, JPA/Hibernate, and SQL experience
Added 22 mins ago
B
Test Manager
BCforward
Toronto, ON
- Contract
Added 22 mins ago
S
Intermediate Data Engineer
Swoon
Toronto, ON
- $80 to $90 CAD / hour
- Contract
Develop and maintain solutions using Python, SQL, and cloud-based data engineering tools.
Added 22 mins ago
M
Senior Data Architect
Miratech
Toronto, ON · North York, ON
- Full-time
Write and review production-grade transformation logic in T-SQL, Spark SQL and Python/PySpark.
Added 22 mins ago
IS
Sr .NET Fullstack Developer (React.JS)
Iris Software Inc.
Toronto, ON · Greater Toronto Area, Canada
- Contract
Primary Skills: .Net Core, React, Gen AI, SQL
Added 22 mins ago
IS
.NET FullStack Developer
Iris Software Inc.
Toronto, ON
- Contract
Iris’s leading financial client is looking for FullStack .NET Developer to join their team at Toronto, ON(Hybrid) location.
Added 22 mins ago
GZ
Data Analyst
Gestion Zagora
Westmount, QC
- Full-time
…packages for leadership, bilingual French and English, built on SQL against BigQuery rather than copy-paste. Where a report is still manual, your job is to make it not…
Added 23 mins ago
Crime Intelligence Analyst
CityofOttawa
Ottawa, ON
Added 38 mins ago
Senior Data Scientist
TripleLift
Toronto, ON
Added 54 mins ago
M
Senior Java Full Stack Developer
Miratech
Toronto, ON
- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 54 mins ago
KS
Java or Golang (Go)
Kumaran Systems
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are looking for an experienced Software Developer with strong hands-on experience in either Java or Golang (Go) and a good understanding of microservices architecture, containerization,…
Added 1 hour ago
H
Forward Deployed Engineer
HRConnects
Toronto, ON
- $140,000 to $180,000 CAD / year
- Full-time
Expertise in Python, PySpark, SQL, REST APIs, FastAPI, Git, Docker, Kubernetes, Airflow, MLflow, and CI/CD
Added 1 hour ago
M
Business Intelligence Analyst
Manulife
Waterloo, ON
- Full-time
…stakeholders. The analyst will work with BI tools and light SQL queries to ensure timely and effective delivery of…
Added 1 hour ago
JM
Business Intelligence Specialist
JBT Marel
Invermay, SK
- Full-time
Proficiency in SQL, data modeling, transformation logic, and enterprise data architecture concepts.
Added 2 hours ago
FC
Senior Technical Analyst, Data Engineering and Business Intelligence
Fidelity Canada
Toronto, ON
- Full-time
Strong hands-on experience with Snowflake, including data modeling, SQL development and performance optimization.
Added 7 hours ago
CO
Temporary Solutions Integration Specialist (up to 8 months)
City of Saint John
Saint John, NB
- Temporary
Networking, such as Active Directory, M365 administration, SQL server management, and/or Exchange)
Added 7 hours ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Database querying and transformation: dbt, SQL (writing queries, joins, stored procedures)
Added 9 hours ago
SB
Customer Supply Chain Intern (Jan-Sept 2027)
Stanley Black & Decker, Inc.
Mississauga, ON
- Full-time
Strong Excel skills (pivot tables, VLOOKUP/XLOOKUP); exposure to Power BI, SAP, or SQL is an asset.
Added 9 hours ago
C
Data Scientist, Model Performance Monitoring and Reporting
CIBC
Toronto, ON
- Full-time
…Model Performance Monitoring and Reporting, you’ll apply your SQL, Python and statistical knowledge to assess model performance, identify changes and communicate findings to business…
Added 9 hours ago
TC
Senior QA / System Testing Specialist
TECH4SOFT Consulting
Toronto, ON
- Full-time
Hands-on experience with Azure DevOps, .NET technologies (ASP.NET, ADO.NET, .NET Framework), C#, Entity Framework, ReactJS, HTML5/CSS/JavaScript, and SQL
Added 10 hours ago
M
Senior Java Full Stack Developer
Miratech
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…

HRConnects

Forward Deployed Engineer

Toronto, ON, Canada

$140,000 to $180,000 CAD / year · Full-time

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Job details

Pay: $140,000 to $180,000 CAD / year
Job type: Full-time
Apply by: Nov 25, 2026
Experience: 10+ years of experience in data engineering, AI application development, and cloud data platforms
Posting language: English
Posted: Oct 26, 2026

Original job description

Join us as a Forward Deployed Engineer and be at the forefront of transforming complex data challenges into innovative AI-powered solutions that make a real impact. This role offers a unique opportunity to embed directly with clients, shaping the future of enterprise data and AI applications through hands-on engineering, collaboration, and strategic problem-solving.

In this role, you’ll work closely with business users, product owners, and engineering teams to understand workflows, analyze data, and drive solutions from prototype to production. You’ll be instrumental in designing and deploying scalable data pipelines, developing AI applications using cutting-edge tools like Claude, prompt engineering, and vector databases, and implementing MLOps/LLMOps capabilities to ensure reliable, secure production environments. You’ll also support adoption and measure success, providing ongoing stabilization, incident resolution, and optimization to maximize business value.

Start Date: As soon as possible

Location: Toronto, ON Hybrid

Salary: 140K - 180K

Key responsibilities include:

Embedding with client teams to map workflows, data, and decision points
Validating and hardening solutions using real client data and APIs
Designing and deploying enterprise AI and data applications across cloud platforms
Building and managing batch, real-time, and streaming data pipelines
Implementing MLOps/LLMOps best practices for lifecycle and deployment automation
Conducting structured error analysis and prioritizing improvements
Resolving technical blockers related to data access, security, and infrastructure
Monitoring post-launch performance, ensuring reliability, and supporting stabilization
Collaborating with clients to track KPIs, measure impact, and facilitate knowledge transfer

Must-Have qualifications:

10+ years of experience in data engineering, AI application development, and cloud data platforms
Expertise in Python, PySpark, SQL, REST APIs, FastAPI, Git, Docker, Kubernetes, Airflow, MLflow, and CI/CD
Experience with Claude, prompt engineering, RAG, vector databases, and agentic AI patterns
Proven ability to operationalize MLOps/LLMOps, including deployment, monitoring, and support in production
Strong client-facing skills with experience in discovery, prototyping, and technical presentations
Bachelor’s degree in a relevant discipline; certifications in cloud, Kubernetes, AI engineering, or security are a plus

Nice-to-Have:

BFSI industry experience
Additional certifications in cloud, security, or architecture

Ready to shape the future of enterprise AI and data solutions? Apply now and be part of a team driving innovation and impact.

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More about this job

Responsibilities

Embed with client teams to understand workflows and data, then design, validate, and deploy scalable enterprise AI applications and data pipelines. Operationalize and monitor solutions, resolve production issues, measure business impact, and support client adoption and knowledge transfer.

Requirements

Requires 10+ years of experience in data engineering, AI application development, and cloud data platforms, along with expertise in the listed engineering, AI, and deployment technologies. Candidates must have production MLOps/LLMOps experience, strong client-facing skills, and a relevant bachelor's degree; cloud, Kubernetes, AI engineering, or security certifications are a plus.

Skills

Python
PySpark
SQL
REST APIs
FastAPI
Git
Docker
Kubernetes
Airflow
MLflow
CI/CD
Claude
Prompt Engineering
Retrieval-Augmented Generation (RAG)
Vector Databases
MLOps/LLMOps

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Artificial Intelligence
Cloud Data Platforms
Python
PySpark
SQL
REST APIs
FastAPI
Git
Docker
Kubernetes
Airflow
MLflow
CI/CD
Claude
Prompt Engineering
Retrieval-Augmented Generation (RAG)
Vector Databases
Agentic AI
MLOps
LLMOps
Data Pipelines
Batch Processing
Real-Time Data
Streaming Data
Cloud Platforms
Incident Resolution
BFSI
Client Discovery
Technical Presentations

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