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Added 13 days ago
MC
Cloud Platform Engineer – Terraform & Database Infrastructure (36050)
Myticas Consulting
Toronto, ON
- Contract
We are seeking an experienced Cloud Platform Engineer with strong hands-on expertise in Terraform, cloud networking, managed database infrastructure and Python to support enterprise cloud…
Added 13 days ago
BS
DevOps - Application Release Engineer
Brainhunter Systems Ltd
ON · Ontario, Canada
- Contract
…testing, packaging, and deployment are conducted. The DevOps Engineer will serve as the guardian of the production environment while balancing automation and…
Added 13 days ago
KR
L3 Operations Engineer
KTek Resourcing
Canada
- Contract
Drive automation initiatives by developing complex scripts and workflows using PowerCLI, Python, and IaC tools like Terraform to eliminate manual tasks and reduce human error.
Added 13 days ago
S
Senior Data Engineer
Sobeys
Stellarton, NS
- Full-time
…We currently have a full time opportunity for a Senior Data Engineer role. This role can be based out of our offices located in Stellarton; NS, Mississauga,…
Added 13 days ago
MC
Network Engineer (35135)
Myticas Consulting
Ottawa, ON
- Full-time
Experience with network automation and scripting using Python, Ansible, or similar tools.
Added 13 days ago
S
Cloud DevOps
SOTI
Mississauga, ON
- Full-time
Write infrastructure automation scripts and templates, and integrate them with DevOps tools.
Added 13 days ago
AI
Cloud DevOps Engineer - Azure, Terraform, Kubernetes, CI/CD & Data Platforms
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Hands-on experience with Python is essential.
Added 13 days ago
MC
DevOps Specialist - Kubernetes (35700)
Myticas Consulting
Ottawa, ON
- Full-time
Proficiency with scripting and automation using PowerShell, Python, or similar languages
Added 13 days ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
Use Python/Pandas for data preparation, automation and analysis.
Added 13 days ago
OH
Senior Quality Assurance Engineer
Ontario Health
Toronto, ON
- Full-time
The Senior Quality Assurance Engineer is responsible for ensuring the quality, reliability, and performance of digital solutions through manual and automated testing. The role leads testing…
Added 13 days ago
DevOps Engineer
Hasbro
Montreal, QC
Working knowledge of Python or TypeScript for scripting and automation.
Added 13 days ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL
Added 13 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 13 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 13 days ago
A
Forward Deployed Technical Consultant-Snowflake: AI&Data Advanced Technology Centers
Accenture
Mississauga, ON · Montreal, QC
- Full-time
Design and implement ELT/ETL frameworks using Snowflake SQL, Snowpark Python, Dynamic Tables, Streams, Tasks, and Snowpipe for batch, streaming, CDC, and event-driven ingestion patterns
Added 13 days ago
W
VMware Cloud Foundation (VCF) L3 Operations Engineer
W3Global
Canada
- Contract
Drive automation initiatives by developing complex scripts and workflows using PowerCLI, Python, and IaC tools like Terraform to eliminate manual tasks and reduce human error.
Added 13 days ago
B
Senior Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Build and optimize scalable batch and near-real-time data pipelines using Python, SQL, SAS, AWS Glue, Athena, PySpark, APIs, databases, file-based integrations, and cloud object storage.
Added 13 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 13 days ago
B
Senior Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Identify and engineer automation opportunities, applying conventional and AI-enabled approaches where appropriate while balancing business value, risk, controls, maintainability, and…
Added 13 days ago
T
Integration and Test Engineering Specialist
Telesat
Gatineau, QC
- Full-time
Automation experience with programming languages like Python.
Added 13 days ago
Senior DevOps Engineer
Scotiabank
Toronto, ON
As a Senior DevOps Engineer, Workforce Authentication Engineering, you will design, build and maintain the DevOps pipelines and automation supporting Microsoft Entra ID-based identity and…
Added 13 days ago
E
Embedded Software Engineer
EPITEC
Ottawa, ON · Kanata, ON
- Full-time
Senior Software Engineer – Embedded Software Test & Automation
Added 13 days ago
GD
Junior Systems Engineer - Networking
General Dynamics Mission Systems–Canada
Ottawa, ON
- Full-time
Basic scripting (Python, Bash, PowerShell) for automation or data processing
Added 13 days ago
OR
Network Engineer
OSL Retail Services Inc
Mississauga, ON
- Other
Practical experience with scripting (Python, Bash, PowerShell, Terraform and Ansible) for network automation and operational efficiency.
Added 13 days ago
M
Engineering Student - Automation - Winter 2027
MDA
Sainte-Anne-de-Bellevue, QC
- Full-time
…our employees in the first place. As part of his work, the automation engineer must constantly think about adapting his devices to cohabitation with the human worker. The candidate will…

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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