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Added 1 month ago
IF
AI Developer Senior
Intact FC
Toronto, ON · Montreal, QC
- Full-time
We’re looking for a Senior AI Developer to join our growing team!
Added 1 month ago
S
Senior Database Engineer II
SurveyMonkey
Remote, Canada
- $95,200 to $137,000 CAD / year
- Full-time
- Remote
Experience writing Python, Bash, PowerShell, or other scripting languages
Added 1 month ago
AI Automation Engineer
7shifts
Toronto, ON
…and connecting systems through APIs. You’re comfortable with Python or a similar programming language, SQL and databases, and automation platforms such as n8n, Zapier, Make, or similar…
Added 1 month ago
AI Automation Engineer
7shifts
Saskatoon, SK
…and connecting systems through APIs. You’re comfortable with Python or a similar programming language, SQL and databases, and automation platforms such as n8n, Zapier, Make, or similar…
Added 1 month ago
Senior, AI & Data Science
Welcome to the Jungle
Montreal, QC
Proficiency in Python (scikit-learn, XGBoost; PyTorch a strong plus) and solid SQL.
Added 1 month ago
Software Engineer, Full-Stack Applications, Associate Director (Python & React)
Fitch Group
Toronto, ON
…highly experienced software engineer with deep expertise in Python and React, strong software engineering fundamentals, and a passion for building scalable, reliable, and user-focused…
Added 1 month ago
FG
Lead Software Engineer, Full-Stack Applications - Ratings Technology
Fitch Group
Toronto, ON
- $180,000 to $220,000 CAD / year
…AI, automation, and modern engineering practices can improve developer productivity, analyst experience, decision support, and operational excellence. This is a critical leadership role for…
Added 2 months ago
W
Senior Software Developer, LLM Infrastructure
Wealthsimple
Canada
- Full-time
Strong proficiency in Python and infrastructure tooling like Kubernetes and Terraform.
Added 1 month ago
N
Lead Tools Programmer | Programmeur ou programmeuse outils Lead
NBCUniversal
Montreal, QC
- Full-time
Provide technical leadership for tools written in C++, with supporting layers in Python or C# where appropriate.
Added 1 month ago
DF
Full-Stack Automation Engineer
DUCA Financial Services Credit Union Ltd.
Toronto, ON
- Full-time
Added 2 months ago
C
MAAS Data Center Infrastructure Engineer (Toronto area)
Canonical
Toronto, ON
- Full-time
…software-driven operations, and you need to be familiar with Python software development to be effective in this role. If you love hacking in your home lab, have good Python skills, and are…
Added 1 month ago
H
Android / Linux Networking - Software Eng
HP
Vancouver, BC
- Full-time
Comfortable reading and understanding C, C++, or Python source code to support troubleshooting, packet-flow analysis, and root-causes of network and protocol-related issues
Added 1 month ago
MG
Head of Sales
Monex Global
Toronto, ON
- Full-time
Data Analytics & Business Intelligence – Proficiency in BI tools (Power BI, Tableau, SQL, Python, or R).
Added 1 month ago
TI
Data Engineer (DevOps)
Tecsys Inc.
Montreal, QC
- Full-time
Proficiency in Python (PySpark) and/or Java, plus strong SQL for data validation and troubleshooting
Added 27 days ago
Threat Intelligence Engineer
Take-Two Interactive Software, Inc.
Toronto, ON
Take-Two Interactive Software, Inc. is a leading developer, publisher, and marketer of interactive entertainment for consumers around the globe. The Company develops and publishes products…
Added 27 days ago
Security Operations Engineer
Take-Two Interactive Software, Inc.
Toronto, ON
Take-Two Interactive Software, Inc. is a leading developer, publisher, and marketer of interactive entertainment for consumers around the globe. The Company develops and publishes products…
Added 1 month ago
D
Staff Data Scientist
DuckDuckGo
Remote, Canada
- $222,033 USD / year
- Full-time
- Remote
You write production-grade code in Python or a comparable high-level language.
Added 1 month ago
KD
Analyste, Intelligence d’affaires / Business Intelligence Analyst
Keurig Dr Pepper
Montreal, QC
- Full-time
La maîtrise de langages de programmation tels que SQL, Python et R constitue un atout supplémentaire;
Added 1 month ago
H
Data DevOps Engineer
HSBC
Toronto, ON
- Full-time
Develop and maintain Python 3 (Python) applications and Application Programming Interfaces (APIs) to support data workflows and analytics
Added 1 month ago
AI & Agentic Engineer, Senior
Welcome to the Jungle
Montreal, QC
…will own your components end to end: the React front end, the Python or Node service behind it, the RAG pipeline feeding it, and the evaluations proving it…
Added 1 month ago
SS
Financial Engineer, truView, Vice President
State Street
Toronto, ON
- Full-time
Comfort with VBA and SQL, familiarity with C++/C#, Python, R
Added 1 month ago
M(
Applied AI Engineer
MaintainX (An Autodesk Company)
Remote, Canada
- $153,000 to $224,000 CAD / year
- Full-time
- Remote
Added 1 month ago
PI
AI Engineer (Agentic Workflows)
Protocase Inc./45Drives Ltd.
NS · Sydney, Nova Scotia
- Full-time
Strong general-purpose programming ability in Python and/or a modern backend language.
Added 1 month ago
P
Institutional Account Associate – Client Management & Analytics (Toronto)
PIMCO
Toronto, ON
- Full-time
Proficient in Microsoft Excel (including VBA) and in coding/querying languages such as Python and SQL
Added 1 month ago
TR
Lead Cloud Platform Engineer, Azure
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Working proficiency in at least one programming language (Python, Go, C#, or similar) plus PowerShell or Azure CLI for automation.

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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