Jobs in Canada

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Added 3 months ago
JG
Senior AI Engineer Java
J&M Group
Toronto, ON
- Full-time
Integrate with MCP-compatible clients and low-code agent platforms, including Microsoft Copilot Studio agents.
Added 2 months ago
Senior Project Manager, Markets
Miller Thomson
Toronto, ON
This position also serves as the business owner of the firm's CRM platform and leads the Markets Technology team responsible for supporting CRM, marketing technologies, user adoption, and…
Added 2 months ago
Senior Software Engineer - Cloud Platform & Data Architecture
MultiTech
Toronto, ON
SUMMARY: You will architect, lead and build the foundational cloud platform services that power mCloud. This role will lead development of enterprise identity, device management, billing,…
Added 2 months ago
MO
Business Development Manager
Meridian OneCap Credit Corp.
Toronto, ON
- Full-time
Added 2 months ago
JB
Finance Associate
John Brooks Company
Remote, Canada
- Remote
…build on your early experience, this role offers an excellent platform for growth and…
Added 3 months ago
PA
Lead, End User Compute & Service Desk
Porter Airlines Inc.
Toronto, ON
- Full-time
Assist with the modernization and optimization of endpoint management platforms, including Microsoft Intune, MECM/SCCM, and Jamf.
Added 3 months ago
HI
Director, Digital Solutions
HUB International
Woodbridge, ON
- Full-time
The DDS plays a key role in enhancing the advisor technology experience, ensuring seamless platform integration, security, and compliance. They provide thought leadership on technology in…
Added 3 months ago
E
AI and Data - Senior Manager - Data & AI Architect
EY
Ottawa, ON
- Full-time
To qualify for the role, you must have
Added 3 months ago
B
AG Territory Manager - Calgary (High River - Crossfield) Field
BASF
Calgary, AB
- Full-time
Strong business acumen and technical proficiency, including working experience with Microsoft Office Suite & CRM.
Added 3 months ago
TS
Developer
TAG Software Group
Winnipeg, MB
- Full-time
The UnionWare Developer is responsible for designing, developing, implementing, and maintaining enterprise-level solutions that support both client and internal business needs.
Added 2 months ago
H
Data DevOps Engineer
HSBC
Toronto, ON
- Full-time
Familiarity with cloud platforms such as Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure (Azure), and their services
Added 2 months ago
AI & Agentic Engineer, Senior
Welcome to the Jungle
Montreal, QC
Examples: Claude Certified Developer – Foundations (Anthropic), Google Cloud Professional Machine Learning Engineer, Google Cloud Generative AI Leader, Microsoft Azure AI Engineer…
Added 2 months ago
AL
Application Infrastructure Administrator
AGAT Laboratories
Calgary, AB
- Full-time
The role has a strong focus on Microsoft IIS application hosting, deployment automation, release management, TFS and Azure DevOps administration, troubleshooting, and production support.
Added 2 months ago
TR
Lead Cloud Platform Engineer, Azure
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
You’ll own the Azure platform that Thomson Reuters product engineering teams build on: the infrastructure itself - networking, identity, AKS, deployment pipelines - and equally the…
Added 2 months ago
AI and Data - Senior Manager - Data & AI Architect
EY
Ottawa, ON
To qualify for the role, you must have
Added 2 months ago
PX
Consultant, IT Systems Administrator (Airflow/Snowflake)
Project X
Toronto, ON
- Full-time
Must have experience with Snowflake and Airflow
Added 3 months ago
C
Senior Platform Engineering Specialist
CGI
Toronto, ON
- Full-time
Contribute to Internal Developer Platforms (IDPs), engineering standards, reusable templates, and platform services.
Added 3 months ago
C
Senior Data Platform Engineering Specialist
CGI
Toronto, ON
- Full-time
Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
Added 3 months ago
C
Senior Full Stack Developer
CGI
Toronto, ON
- Full-time
CGI is seeking an experienced Senior Full Stack Developer to join our growing Software Engineering Practice within the Emerging Technologies team.
Added 3 months ago
C
Senior Architect (Cloud & FinOps Strategy)
CGI
Toronto, ON
- Full-time
Guide organizations in adopting Platform Engineering, DevSecOps, and Site Reliability Engineering (SRE) operating models.
Added 3 months ago
RC
Manager, Power Platform & Modern Front End Engineering
RSM Canada
Toronto, ON
- Full-time
We are seeking a Manager, Power Platform & Modern Front‑End Engineering to lead the delivery and evolution of enterprise‑grade solutions built on Microsoft Power Platform, with a strong…
Added 3 months ago
GM
[Dungeons & Dragons PC-Console] Concepteur Narratif Senior - Senior Narrative Designer
Gameloft Montreal
Montreal, QC
- Full-time
There is a game for everyone, and we are now expanding to cross-platform games on PC and consoles, with titles such as Disney Speedstorm and Disney Dreamlight Valley, to provide our players…
Added 3 months ago
G
Développeur(euse) logiciel / Software Developer - Access Control SaaS
Genetec
Montreal, QC
- Full-time
Connaissance des services infonuagiques Microsoft Azure et des technologies de messagerie. Azure Event Hubs et Azure Service Bus
Added 3 months ago
F
Senior Security Engineer
Forma.ai
Toronto, ON
- Full-time
Strengthen SSO, MFA, privileged access, and onboarding, offboarding, and access-review processes across AWS, GitHub, Microsoft 365, Entra ID, production systems, and internal SaaS -…
Added 3 months ago
G
Développeur(euse) logiciel / Software Developer - Access Control Embedded
Genetec
Montreal, QC
- Full-time
Connaissance des services infonuagiques Microsoft Azure et des technologies de messagerie. Azure Event Hubs et Azure Service Bus

HSBC

Data DevOps Engineer

Toronto, ON, Canada

Full-time

Apply on portal.careers.hsbc.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Aug 19, 2026

Original job description

Our purpose – Opening up a world of opportunity – explains why we exist. Here at HSBC, we use our unique expertise, capabilities, breadth and perspectives to open new kinds of opportunity for our more than 40 million customers. We’re bringing together the people, ideas, and capital that nurture progress and growth, helping to create a better world – for our customers, our people, our investors, our communities, and the planet we all share.

In Canada, HSBC Global Services (Canada) Limited (HGCA) is a wholly owned subsidiary of HSBC Global Services Limited. Operating in Toronto and Vancouver, HGCA is part of a global service company, delivering services to support the operating entities of HSBC Group. We have different capabilities that provide tools and processes to facilitate the functions, business, and entities with their service management responsibilities.

Chief Technology Office (CTO) Data Technology is a data-driven shared service organization committed to unlocking value from data to serve our customers. We are a unified data technology team with a diverse organization of more than 3,000 colleagues across multiple global locations. We are transforming data technology into an Enterprise Shared Service Capability delivery model that will scale across key Global and Regional business markets.

Our CTO Analytics Technology team is at the forefront of developing cutting-edge data science platforms across multi-cloud environments. We leverage advanced analytics and data-driven insights to enhance our services and drive business growth.

We are looking for a passionate and driven Data Development and Operations (Data DevOps) Engineer to join our CTO Analytics Technology team. In this role, you will work on a state-of-the-art data science platform, collaborating with data engineers, data scientists, and other stakeholders to optimize data workflows and enhance our analytics capabilities across multi-cloud environments.

As our Data DevOps Engineer you will:

Assist in the development, deployment, and maintenance of data pipelines and workflows using Big Data technologies such as Apache Hadoop (Hadoop), Hadoop Distributed File System (HDFS), Google BigQuery (BigQuery), Amazon EMR (EMR), Snowflake, and Databricks
Support data science initiatives by utilizing tools such as JupyterHub, MLflow, Google Vertex AI (Vertex AI), Google Cloud Dataproc (Dataproc), Google Cloud Dataflow (Dataflow), and Apache Airflow (Airflow)
Collaborate with data scientists to implement machine learning models and workflows using libraries such as TensorFlow and scikit-learn
Utilize data manipulation libraries such as pandas, NumPy, and PySpark for data analysis and processing
Develop and maintain Python 3 (Python) applications and Application Programming Interfaces (APIs) to support data workflows and analytics
Monitor and troubleshoot data pipelines to ensure data quality and reliability
Participate in the deployment lifecycle of machine learning models and applications, including Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps) practices
Work with container orchestration tools such as Kubernetes (K8s) to manage and deploy applications in cloud environments
Stay updated with the latest trends and technologies in data engineering, DevOps, and cloud computing

You’ll likely have the following qualifications to succeed in this role:

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (or equivalent practical experience)
Familiarity with Big Data technologies (Hadoop, HDFS, BigQuery, EMR, Snowflake, Databricks)
Experience with data science tools (JupyterHub, MLflow, Vertex AI, Dataproc, Dataflow, Airflow)
Experience with data manipulation libraries (pandas, NumPy, PySpark)
Proficiency in Python, including experience in building APIs and applications
Familiarity with cloud platforms such as Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure (Azure), and their services
Basic knowledge of Linux operating systems
Understanding of Kubernetes (K8s), MLOps/LLMOps, and experience with Large Language Models (LLMs) such as OpenAI, Claude, or Gemini (preferred)

In compliance with applicable laws, HSBC is committed to employing only those who are authorized to work in Canada. Applicants must be legally authorized to work in Canada as HSBC will not engage in immigration sponsorship for this position.

As an HSBC employee, you will have access to tailored professional development opportunities to ensure you have the right skills for today and tomorrow. At HSBC, our overall goal is to provide a competitive Total Reward Package, with an appropriate mix of fixed pay, and variable pay, as part of an employee’s overall total compensation and benefits. Variable pay generally takes the form of discretionary, annual awards (sometimes referred to as a “bonus”). Additionally, HSBC offers a wide range of competitive and flexible benefits designed to help you improve your health and well-being, finances, and lifestyle.

All qualified applicants will receive consideration for employment without regard to age, ancestry, color, race, national origin, ethnicity, disability or medical condition, genetic information, military or veteran service, religion, creed, sex, gender, pregnancy, childbirth, caregiver status, marital status, citizenship or immigration status, sexual orientation, gender identity or expression or any other trait protected by applicable law.

The final fixed pay offer will depend on the candidate and a number of variables, including but not limited to, role responsibilities, skill set, depth of experience and education, licensing/certification requirements, internal relativity, and specific work location.

At HSBC, our overall goal is to provide a competitive Total Reward Package, with an appropriate mix of fixed pay, and variable pay, as part of an employee’s overall total compensation and benefits. Variable pay generally takes the form of discretionary, annual awards (sometimes referred to as a “bonus”). Additionally, HSBC offers a wide range of competitive and flexible benefits designed to help you improve your health and well-being, finances, and lifestyle.

Apply on portal.careers.hsbc.com About employer

More about this job

Responsibilities

The Data DevOps Engineer will develop, deploy, and maintain data pipelines and workflows using Big Data technologies while collaborating with data scientists to implement machine learning models. They will also monitor and troubleshoot data systems to ensure quality and reliability across multi-cloud environments.

Requirements

Candidates must hold a bachelor's degree in Computer Science, Data Science, Engineering, or a related field. Proficiency in Python, experience with Big Data technologies, and familiarity with cloud platforms and Kubernetes are required.

Skills

Python
Apache Hadoop
Google BigQuery
Snowflake
Databricks
Kubernetes
MLOps
LLMOps
Apache Airflow
PySpark
TensorFlow
Scikit-learn
Data pipelines
Cloud computing
Data engineering
API development

Benefits

Professional development opportunities
Competitive total reward package
Health and well-being benefits
Flexible benefits

Visa sponsorship

Not detected in the job text

Keywords

Data DevOps
Big Data
Hadoop
HDFS
BigQuery
EMR
Snowflake
Databricks
JupyterHub
MLflow
Vertex AI
Dataproc
Dataflow
Airflow
TensorFlow
Scikit-learn
Pandas
NumPy
PySpark
Python
APIs
MLOps
LLMOps
Kubernetes
Cloud Computing
GCP
AWS
Azure
Linux
Large Language Models

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Work requirements

Jobs in Canada