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Added 2 months ago
IE
Senior Manufacturing Engineer
Industrial Electric Mfg. (IEM)
Surrey, BC
- $45.67 to $56.25 CAD / hour
- Full-time
IEM is currently seeking a Senior Manufacturing Engineer (Manufacturing Engineer, E3) for our Surrey, B.C. locations and will report into the Senior Manager of Manufacturing Engineering.…
Added 2 months ago
A
Staff Software Engineer - Front End AI (Bangkok based, Relocation provided)
Agoda
Vancouver, BC
- Full-time
As our Staff Front-End Engineer, you will design and build AI-driven chat experiences that power Agoda’s AI Assistant, trip planning and discovery, customer support flows, and proactive…
Added 3 months ago
C
MAAS Data Center Infrastructure Engineer (Toronto area)
Canonical
Toronto, ON
- Full-time
We are hiring a Data Center Infrastructure Engineer to build and maintain MAAS test labs. As a Data Center Infrastructure Engineer in Canonical, you will be responsible for the day-to-day…
Added 2 months ago
B
Team Lead, Cloud Business Office (CBO)
BRP
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
SRE proficiency: SLIs/SLOs, error budgets, incident/postmortem practices, observability (Azure Monitor/Log Analytics, Cloud Logging/Monitoring, Prometheus/Grafana, OpenTelemetry).
Added 2 months ago
TI
Data Engineer (DevOps)
Tecsys Inc.
Montreal, QC
- Full-time
We're looking for a Data Platform Engineer (DevOps) to join our TecsysIQ Data & AI team. This is a hybrid role that builds and operates the cloud data platform powering our analytics and AI…
Added 2 months ago
UG
Chief Architect - Data Engineering (Databricks Practice)
Unison Group
Toronto, ON
- Full-time
Translate hard technical trade-offs into decisions executives can act on - from engineer to boardroom without changing gears.
Added 1 month ago
UT
Staff Software Engineer, Gaming AI
Unity Technologies
Montreal, QC · CAN-Montreal
- Full-time
As a Staff Software Engineer on our gaming AI team, you will be responsible for leading the delivery of cloud services and features that power this platform. This is new and challenging…
Added 2 months ago
UT
Senior Machine Learning Engineer
Unity Technologies
Montreal, QC · CAN-Montreal
- Full-time
Added 2 months ago
H
Data DevOps Engineer
HSBC
Toronto, ON
- Full-time
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…
Added 2 months ago
AI & Agentic Engineer, Senior
Welcome to the Jungle
Montreal, QC
Artefact is looking for a Senior AI & Agentic Engineer: a full-stack engineer who takes AI features from idea to production.
Added 2 months ago
SS
Financial Engineer, truView, Vice President
State Street
Toronto, ON
- Full-time
truView is a multi-asset-class analytics platform offered as a service to clients of State Street. Initially developed to serve hedge funds within State Street’s IFS subsidiary, truView now…
Added 2 months ago
Lead Hub Operations Excellence
Purolator
Richmond, BC
Reporting to the Western Canada Engineering Manager, the Lead Hub Operations Excellence Engineer is responsible for all cost and quality improvement activities in the field. This includes…
Added 2 months ago
M(
Applied AI Engineer
MaintainX (An Autodesk Company)
Remote, Canada
- $153,000 to $224,000 CAD / year
- Full-time
- Remote
Added 2 months ago
Analytics Engineer III, Assurance
ACV
Toronto, ON
The Analytics Engineer III on the ACV Assurance team is a skilled practitioner who transforms raw data into trusted, decision-ready models and reports that drive the business forward.…
Added 2 months ago
PI
AI Engineer (Agentic Workflows)
Protocase Inc./45Drives Ltd.
NS · Sydney, Nova Scotia
- Full-time
Position Title: AI Engineer (Agentic Workflows)
Added 2 months ago
TR
Lead Cloud Platform Engineer, Azure
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Make the platform observable. Build and troubleshoot with Log Analytics, Container Insights, and Application Insights. Write KQL that answers real questions, design alerts that page on…
Added 2 months ago
C
Staff Backend Software Engineer
Cognichip
Toronto, ON
- $184,000 to $225,000 CAD / year
- Full-time
We are seeking a Staff Backend Software Engineer to spearhead the development of our platform applications and services. You will architect critical backend solutions, including usage…
Added 2 months ago
T
Senior/Staff Software Engineer, Data Platform
Terminal
Toronto, ON
- $200,000 to $295,000 CAD / year
- Full-time
We're looking for an engineer who thrives on building scalable platforms and enjoys tackling hard data and backend challenges. This isn't a data engineering role: you'll design and optimize…
Added 2 months ago
H
Senior Software Engineer, Machine Learning
Hive
Remote, Canada
- $123,600 to $187,900 USD / year
- Full-time
- Remote
As a Senior Data Engineer, you’ll play a vital role in evolving our data platform, which directly determines what our customers can do, how fast our product moves, and how confidently…
Added 2 months ago
PA
AI Software Engineer, Product
Palona AI
Toronto, ON
- Full-time
We are looking for a product-focused AI Software Engineer to turn advances in AI into restaurant products that work reliably in the real world. You will build across customer-facing…
Added 2 months ago
B
Software Engineer - AI Developer Productivity
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
…approaches actually work, and the rollout mechanics that get a new engineer productive with agents in week…
Added 2 months ago
PA
AI Software Engineer, Growth
Palona AI
Toronto, ON
- Full-time
We are looking for an AI Full-Stack Engineer who treats growth as an engineering and product discipline. You will own web experiences, experimentation, SEO and generative-engine…
Added 2 months ago
L
Full Stack Product Engineer
Liftoff
Montreal, QC
- $70,000 to $110,000 CAD / year
- Full-time
We're hiring a Full-Stack Engineer to ship product features and experiments end-to-end. Your core focus areas:
Added 2 months ago
F
Senior Security Engineer
Forma.ai
Toronto, ON
- $160,000 to $190,000 USD / year
- Full-time
As a Senior Security Engineer, you will be a hands-on technical leader strengthening security across Forma's application, cloud infrastructure, development lifecycle, internal systems, and…
Added 2 months ago
PA
AI Infrastructure Engineer
Palona AI
Toronto, ON
- Full-time
We are looking for an Infrastructure Engineer who combines cloud and reliability depth with strong software engineering judgment. You will build and operate the platform beneath Palona's AI…

HSBC

Data DevOps Engineer

Toronto, ON, Canada

Full-time

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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 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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