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Added 18 days ago
Data Engineer Sr
Insight Enterprises, Inc.
Toronto, ON
This role is hybrid, with the onsite locations in Montreal, QC, Canada or Toronto, ON, Canada.
Added 18 days ago
Q
Staff Deep Learning Compiler Engineer
quadric
Remote, Canada
- Full-time
- Remote
Strong proficiency in C++ (14/17/20) and Python, with solid fundamentals in data structures, algorithms, and object-oriented design.
Added 18 days ago
PC
DevOps Engineer, Capital Markets
Pyramid Consulting, Inc
Halifax, NS
- $42 CAD / hour
- Contract
Immediate need for a talented DevOps Engineer, Capital Markets. This is a 06+months contract opportunity with long-term potential and is located in Halifax, NS(Hybrid). Please review the…
Added 18 days ago
PA
Site Reliability Engineer
Porter Airlines Inc.
Toronto, ON
- Full-time
Porter is hiring an experienced Site Reliability Engineer to help improve the reliability, scalability, and performance of a modern cloud platform supporting thousands of users.
Added 18 days ago
I
Database Automation Test Engineer
Infoya
Toronto, ON
- $75,000 to $80,000 CAD / year
- Full-time
About the Job: Infoya is looking for an experienced Senior Automation Engineer with strong expertise in database testing and automation, data pipeline testing and ETL validation. The…
Added 18 days ago
TD
Senior DevOps Engineer
TELUS Digital
Remote, Canada
- $96,000 to $120,000 CAD / year
- Full-time
- Remote
With a global team across North America, South America, Central America, Europe, Africa, and APAC, we offer end-to-end expertise across various service offerings: Web, Mobile & Digital…
Added 18 days ago
GD
Junior Systems Engineer - Networking
General Dynamics Missions System International
Ottawa, ON
- Full-time
GDMS-C is seeking a Systems Engineer to join our Coalition and Joint Interoperability team working to support Land Command Support System (LCSS) in Ottawa, Canada. The Land Command Support…
Added 18 days ago
DE
Linux Systems Administrator / Engineer
Digital Extremes
London, ON
- Full-time
Tooling & Protocols: Familiarity with Perforce server administration on Linux, system monitoring platforms (PRTG, CheckMK), shell/Python scripting, and core networking protocols.
Added 18 days ago
AI
Platform Engineer - Kubernetes, GitOps, Flux CD & AI/ML Infrastructure
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
We're seeking a skilled Platform Engineer to deploy and manage AI/ML infrastructure, e.g. LlamaIndex Cloud and KDB.AI applications on Kubernetes Platform.
Added 18 days ago
MC
AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
- Contract
Experience with Infrastructure-as-Code (Terraform).
Added 18 days ago
S
Senior Data Engineer
Sobeys
Stellarton, NS
- Full-time
Significant experience (5+) developing with Spark (python/Vscode/Databricks Notebooks preferably) and specifically within Azure Databricks.
Added 18 days ago
S
Cloud DevOps
SOTI
Mississauga, ON
- Full-time
SOTI is committed to providing its employees with endless possibilities; learning new things, working with the latest technologies and making a difference in the world.
Added 18 days ago
PM
Intern, Data Engineer (8 Months)
Picton Mahoney Asset Management
Toronto, ON
- Internship
PICTON Investments is presently seeking a dynamic Intern, Data Engineer with a passion about Asset Management to join our Digital Product team for an 8 month internship. The Intern will…
Added 18 days ago
DevOps Engineer
Hasbro
Montreal, QC
We’re building something new inside our AI Studio, and we’re looking for a DevOps Engineer to help shape it with us. This role sits at the center of a new and constantly evolving business…
Added 18 days ago
HO
Operations Business Intelligence Engineer
Hydro Ottawa
Ottawa, ON
- Full-time
Familiarity with Matlab/C++/Python considered an asset
Added 19 days ago
AM
Sr. Staff Physical Design Engineer
Advanced Micro Devices, Inc
Vancouver, BC
- Full-time
Proficiency with Python and TCL for design-flow development and automation.
Added 19 days ago
A
Forward Deployed Technical Consultant-Databricks: AI&Data Advanced Technology Centers
Accenture
Mississauga, ON · Montreal, QC
- Full-time
Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks.
Added 19 days ago
A
Forward Deployed Technical Consultant-Snowflake: AI&Data Advanced Technology Centers
Accenture
Mississauga, ON · Montreal, QC
- Full-time
3+ years experience in Python (data pipelining and ML workloads) and advanced SQL.Experience with data modelling methodologies and dbt for transformation layer management.
Added 19 days ago
IC
Data Analytics Engineer
Infotek Consulting Inc.
Toronto, ON
- Contract
Senior Analytics Engineer – Capital Markets Data Modelling
Added 19 days ago
B
Senior Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Advanced proficiency in Python and SQL, with strong engineering practices across modular development, performance optimization, automated testing, troubleshooting, and maintainable code…
Added 19 days ago
B
Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Strong proficiency in Python and SQL, with hands-on experience in data transformation, automation, validation, performance optimization, and troubleshooting.
Added 19 days ago
B
Senior Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Advanced proficiency in Python and SQL, with strong engineering practices across modular development, performance optimization, automated testing, troubleshooting, and maintainable code…
Added 19 days ago
C
Software Engineer
Correct-AI
AB · Greater Edmonton Metropolitan Area
- Full-time
C++ & Python: Strong development skills with a track record of shipping production software.
Added 19 days ago
FT
Forward Deployed Engineer
FDE Times
NB · Chiasson Office, NB
- Full-time
We are looking for a Forward Deployed Engineer to work directly with enterprise customers to turn real-world financial workflows into production software.
Added 19 days ago
S&
Data Engineer
Silk & Snow
Toronto, ON
- Full-time
We are seeking a versatile and highly motivated Data Engineer to join our data analytics and reporting team. This role is critical in bridging the gap between raw data and actionable…

Accenture

Forward Deployed Technical Consultant-Databricks: AI&Data Advanced Technology Centers

Mississauga, ON, Canada
Montreal, QC, Canada

Role Location Annual Salary Range British Columbia/Ontario/New Brunswick $75,400 to $125,400 · Full-time

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Job details

Pay: Role Location Annual Salary Range British Columbia/Ontario/New Brunswick $75,400 to $125,400
Job type: Full-time
Posting language: English
Posted: Oct 20, 2026

Original job description

We are:

The Advanced Technology Centers (ATCs) are the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000 people across 24 countries, ATCs provide our clients with seamless access to industry insights and innovative technology solutions.

Stronger together!

The Advanced Technology Centers (ATCs) make a tremendous impact in solving our clients’ business problems by leveraging innovation, intelligence, industry insights, new IT, and new technology skills. With the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.

The value for our clients and our people:

For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.

For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges.

You are:

As a Forward Deployed Technical Consultant-Databricks, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. You will design, build, and operationalize enterprise-grade data and agentic AI solutions in Databricks and Azure Data Services. Your role spans the full solution lifecycle - assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps & MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. You will design and implement autonomous agents using Databricks Mosaic AI Agent Framework and frameworks like LangChain or AutoGen.

You’ll work closely with analytics, data science, and cloud teams to ensure reliable, high-performance data delivery for the clients we serve.

THE WORK

Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions
Architect, develop, and maintain scalable, low-latency data pipelines to ingest and transform diverse datasets leveraging Azure Databricks workflows and Spark technologies.
Design and optimize lakehouse architecture using Delta Lake tables following Bronze, Silver, and Gold layers to ensure efficient, reliable, and governed data storage.
Design and implement autonomous agents using Databricks Mosaic AI Agent Framework and frameworks like LangChain or AutoGen
Build and optimize vector search indexes using Databricks Vector Search for accurate context retrieval.
Design AI agents with retrieval, orchestration, tool invocation, evaluation harnesses, and lifecycle observability.
Process large-scale distributed datasets on the Databricks Intelligence Platform with Apache Spark.
Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps
Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC
Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites
Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production
Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools
Justify the value of model approaches in business problems
Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production

This is a hybrid role in Mississauga/Montreal and requires 3 days per week in the office/client location

BASIC (REQUIRED) QUALIFICATION

Bachelor’s degree or completion of a college program in a related discipline
Minimum 3 years of experience working with Microsoft Azure cloud data services.
Minimum 3 years of hands-on experience with Databricks : PySpark, Delta Lake, Auto Loader, Lakehouse Medallion Architecture (Bronze, Silver, Gold).
Experience with Git-based version control and CI/CD pipelines (Azure DevOps or GitHub Actions).
Minimum of 3 years of experience in applying theoretical foundations of computer science, including computer system architecture, and programming
Minimum of 1 years of experience in distributed computing systems and architecture that may include big data, high-performance compute, scientific compute, grid and cloud computing, distributed networks

English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

PREFERRED QUALIFICATION

Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks.
Experience working with language models like LLM's APIs and optimizing their usage for specific applications.
Experience in MLOps/LLMOps (CI/CD for ML and LLM Lifecycle)
Genie product Family
Databricks certified Data Engineer Professional (2025)
Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders
Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time employment, for roles that may be hired as set forth below. The recruiting efforts for this position are intended to fill a brand new position. The base pay range shown below is intended as a guideline to reflect the majority of offers for this role. It does not represent a maximum limit - in some cases, actual compensation may exceed the range where appropriate.

Information on benefits is here: https://www.accenture.com/ca-en/careers/local/benefits

Role Location Annual Salary Range British Columbia/Ontario/New Brunswick $75,400 to $125,400

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services - creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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More about this job

Responsibilities

Design, build, and operationalize enterprise-grade AI and machine learning solutions using Databricks and Azure Data Services. Develop scalable data pipelines, implement autonomous agents, and manage the full lifecycle of AI models to solve complex business problems.

Requirements

Requires a bachelor's degree and at least 3 years of experience with Microsoft Azure and Databricks technologies. Candidates must possess strong technical skills in distributed computing, CI/CD pipelines, and AI/ML frameworks.

Skills

Databricks
Azure
PySpark
Delta Lake
Machine Learning
Generative AI
Large Language Models
Python
MLOps
Data Engineering
Cloud Computing
Autonomous Agents
LangChain
CI/CD
Data Pipelines
Vector Search

Benefits

Health insurance
Professional development
Global career opportunities

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Azure
PySpark
Delta Lake
Lakehouse Architecture
Generative AI
Large Language Models
Machine Learning
MLOps
LLMOps
Python
LangChain
AutoGen
Mosaic AI
Vector Search
CI/CD
Azure DevOps
GitHub Actions
Distributed Computing
Data Engineering
Cloud Computing
Artificial Intelligence
Deep Learning
Data Pipelines
HPC
Consulting
Software Engineering
Data Science
Analytics
Automation

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