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Added 2 months ago
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Senior Database Engineer II
SurveyMonkey
Remote, Canada
- $95,200 to $137,000 CAD / year
- Full-time
- Remote
We are looking for an experienced database engineer to help SurveyMonkey evolve its data stores toward a cloud-native, globally distributed architecture. You are passionate about data, have…
Added 2 months ago
Senior, AI & Data Science
Welcome to the Jungle
Montreal, QC
Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value…
Added 2 months ago
Software Engineer, Full-Stack Applications, Associate Director (Python & React)
Fitch Group
Toronto, ON
Fitch Ratings is seeking a solid Software Engineer to join our global Ratings Technology team in Toronto. This is an opportunity to build and enhance mission-critical applications that…
Added 2 months ago
FG
Lead Software Engineer, Full-Stack Applications - Ratings Technology
Fitch Group
Toronto, ON
- $180,000 to $220,000 CAD / year
Lead Software Engineer, Full-Stack Applications – AI Fluent
Added 2 months ago
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Senior Software Developer, LLM Infrastructure
Wealthsimple
Canada
- Full-time
As a Senior Software Engineer on the ML Infrastructure team, you will design and implement the core backend and infrastructure powering our AI systems. You will work closely with data…
Added 2 months ago
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Manager, Network Reliability and Resiliency
ServiceNow
Toronto, ON
- Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 2 months ago
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QA Automation Engineer
J&M Group
Vancouver, BC
- Full-time
Added 2 months ago
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Staff Software Engineer - Full Stack AI (Bangkok based, Relocation provided)
Agoda
Vancouver, BC
- Full-time
As our Staff Full Stack 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
TC
QA Engineer - Partnership Intelligence
Two Circles
Vancouver, BC
- $75,000 to $90,000 CAD / year
- Full-time
Two Circles is looking for a creative, modern QA Engineer to join our dynamic KORE Intelligence Platform team. In this role, you'll be part of the Partnership Intelligence team, building…
Added 2 months ago
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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
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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 3 months ago
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Team Lead, Cloud Business Office (CBO)
BRP
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Orchestrate cross‑functional delivery (security, platform, network, data, app teams; vendors), remove impediments, and keep outcomes front‑and‑center.
Added 2 months ago
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Senior Software Architect
Prophix
Toronto, ON · Etobicoke, ON
- Full-time
10+ years of software engineering experience, with a significant portion spent in a software architecture or principal engineer role within a SaaS or cloud-native product environment
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
AB
Account Executive
AppHelp by AppDirect
Montreal, QC
- Full-time
Working knowledge of the B2B AI landscape - you don't need to be an engineer, but you need to be able to speak credibly about AI products and their business applications;
Added 2 months ago
UG
Chief Architect - Data Engineering (Databricks Practice)
Unison Group
Toronto, ON
- Full-time
Certified credibility - Databricks Data Engineer Professional / SA accreditations strongly preferred.
Added 2 months ago
Engineering Intern (Water)
Region of Waterloo
Kitchener, ON · Waterloo, ON
Performs work under the general supervision of a Professional Engineer. Participates on project teams under the direction of supervisor/senior staff. Establishes project scope and…
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
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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
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Intermediate Engineer – Process Performance and Operational Readiness
Systemex
Montreal, QC
- Full-time
As the Intermediate Engineer – Process Performance and Operational Readiness you will support optimization, operational readiness, start-up, and performance improvement projects in the…
Added 2 months ago
S
Senior Engineer – Process Performance and Operational Readiness
Systemex
Montreal, QC
- Full-time
Join Systemex as a Senior Engineer – Process Performance & Operational Readiness, acting as a technical advisor to mining and mineral processing clients. You will support operations from…
Added 2 months ago
AI & Agentic Engineer, Senior
Welcome to the Jungle
Montreal, QC
Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain.
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
Frontier models are getting commoditized. The operating data underneath them isn't - and that's what we own. 13.9M+ managed assets, 79.5M+ completed work orders, and 150,000+ technicians…

HSBC

Data DevOps Engineer

Toronto, ON, Canada

Full-time

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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.

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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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