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Added 4 mins ago
Data Scientist
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…large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine…
Added 18 mins ago
Purchasing Coordinator
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$56,000 to $70,000 CAD / year
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As a Warehouse Associate with Sporting Life, you will play a vital role in ensuring our stores are well-stocked, organised, and ready to serve customers.
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Lead Data Scientist
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RQ11654 - Software Developer - CRM - Senior
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Demonstrated experience and understanding of data warehouse,
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Demonstrated experience and understanding of data warehouse,
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Senior SAP TM Consultant
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Added 4 hours ago
Programmer Analyst
Societe Generale
Montreal, QC
Full-time
Participate actively in data remodeling initiatives to support the migration of applications from on-premises private cloud environments to Microsoft Azure.
Added 5 hours ago
Senior Data Engineer
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Canada
Full-time
The Data and AI Technology (DAT) Engineering team at BMO is seeking a highly skilled Data Engineer to join our dynamic group. This role involves leading the end-to-end development of data…
Added 5 hours ago
Azure Data Engineer (Automation & Integration)
Global X Canada
Toronto, ON
$85,000 to $100,000 CAD / year
Full-time
Global X Investments Canada Inc. is seeking an Azure Data Engineer to help build, support and automate our Azure-based data infrastructure. Reporting to the SVP, Digital Innovation & Data…

Societe Generale

Programmer Analyst

Montreal, QC, Canada

Job type: Full-time
Apply by: Oct 31, 2026
Posting language: English
Posted: Oct 1, 2026

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Original job description

Responsibilities

ABOUT THE JOB:

The aim of Global Banking Technology & Operations (GBTO) Canada is to deliver day-to-day services to Société Générale investment and corporate bank units and their clients to accelerate their transformation. GBTO differentiates itself from competitors with the pace of the agile transformation delivered, spreading the technology and data culture, shortening the decision-making process, and adopting a true industrial approach, leveraging on different teams either transversal or aligned to the different sub business units.

The Counterparty Credit Risk (CCR) team belongs to the XRM (Cross Risk Metrics) department that aims at supporting and developing tools primarily for the risk department (RISQ). You will join the CCR AMER feature team in charge of several applications including post-origination portfolio monitoring tools shared by 1LOD and 2LOD, used to digitize key forms & decisions, automate manual processes & permanent controls, create a clean audit trail, generate real-time reporting, and improve data quality.

We heavily rely on Agile framework (Scrum):

To build a solid and trustful relationship with our functional partners thanks to a continuous and transparent communication.
To maintain a strong team dynamic that focuses on the delivery of value for the users and maintaining the application with a long-term view.

Autonomous on your developments, you will always have the support of the team to continuously improve functionally and technically. You will be encouraged to also share your point of view and approaches in software craftmanship. Continuous improvement is key for us!

YOUR MISSION

Design, build, and maintain scalable and robust data pipelines to ingest, process, and transform large volumes of structured and unstructured data from multiple sources.
Participate actively in data remodeling initiatives to support the migration of applications from on-premises private cloud environments to Microsoft Azure.
Develop, construct, test, and maintain architecture such as databases, large-scale processing systems, and data warehouses optimized for cloud deployment.
Collaborate with risk analysts, and other stakeholders to understand data requirements and deliver high-quality datasets for analytics and machine learning.
Optimize data delivery, re-designing infrastructure for greater scalability, and ensuring the reliability and efficiency of data systems.
Implement and enforce data security, governance, and compliance standards in line with internal policies and regulatory requirements.
Monitor and troubleshoot data systems to ensure data integrity, availability, and performance.
Automate repetitive data tasks and workflows to improve operational efficiency.
Stay updated with the latest industry trends, tools, and cloud technologies to continuously improve data engineering processes.
Document data engineering processes, data flows, and system configurations to facilitate knowledge sharing and maintenance.
Manage release processes, including drafting release notes, developing release scripts, and leading deployments with contingency and rollback plans.
Production: Participate in L3 support and incident management, including root cause analysis and resolution.

Bachelor’s degree in computer science or related field.
Ability to Code, test, document and L3 support the application
Cloud skills (security, infrastructure, architecture design, design patterns…)
Experience with Spring Boot for consuming RESTful APIs
Strong proficiency with Oracle DB, including writing complex queries, stored procedures, and performance tuning.
Expertise in designing, building, and maintaining ETL pipelines.
Proficient in Python for data manipulation, automation, and scripting.
Proficient with GitHub for source code management and collaborative development workflows.

Nice to Have:

Experience with containerization technologies such as Kubernetes and Docker.
Familiarity with infrastructure as code tools like Terraform.
Experience with concepts related to Credit and Counterparty Risk
High level understanding of capital market products (secured financing transactions; derivatives)
ITIL Certification
Azure Cloud certification

LANGUAGE:

Ability to communicate in English, both orally and in writing, is a requirement as the person in this position will need to collaborate regularly with colleagues and partners in the United States.

Due to US Federal Securities law that may apply to this position, candidates who will apply for this position may be required to submit to an enhanced background screening, including the collection of their fingerprints by a third-party vendor selected by the Financial Industry Regulatory Authority ("FINRA").

Business insight

Societe Generale is committed to offering an inclusive recruitment experience to all candidates. If you require any reasonable accommodations during the recruitment process, please do not hesitate to let our Recruiters know.

OUR CULTURE:

At Societe Generale, we live by our 4 core values of commitment, responsibility, team spirit and innovation. We are engaged and demonstrate consideration for others. We act ethically and with courage. We focus our talent and energy on collective success. We experiment and propose new ideas. This way, we maximize our ability to serve client needs and anticipate market changes. Societe Generale is committed to strengthening bonds with colleagues, communities, and the world in which we live, because relationships are at the heart of how we operate. For more information about our Culture and Conduct initiatives, please visit this link (https://americas.societegenerale.com/en/careers/get-know-culture/)

D&I:

Our Diversity & Inclusion Mission: Recruit, develop, advance, and retain a diverse workforce that is united in our efforts to enhance our competitive position and deliver innovative solutions to our clients.

Our Diversity & Inclusion Vision:

Engaged workforce that is demographically diverse in a way that reflects the communities in which we operate
Inclusive culture and workplace that recognizes employees' unique needs and utilizes their diverse talents
Engage our community and marketplace, and position the organization to meet the needs of all its clients

For more information about our D&I initiatives, please visit this link (https://americas.societegenerale.com/en/careers/get-know-diversity/)

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More about this job

Responsibilities

Design, build, and maintain scalable data pipelines and cloud-optimized data systems, supporting the migration of applications to Microsoft Azure and delivering reliable datasets for risk analytics. Ensure data security, governance, performance, and operational reliability; automate workflows, manage releases and deployments, document systems, and provide L3 production support.

Requirements

A bachelor's degree in computer science or a related field is required, along with the ability to code, test, document, and support applications at L3. Candidates must have cloud skills, Spring Boot and REST API experience, strong Oracle database and ETL expertise, Python proficiency, and experience using GitHub; Kubernetes, Docker, Terraform, credit risk knowledge, capital markets familiarity, ITIL certification, and Azure certification are advantageous.

Skills

Oracle Database
ETL Pipelines
Python
Spring Boot
REST APIs
Azure
Azure Synapse
Data Engineering
Data Modeling
SQL Performance Tuning
GitHub
Apache Spark
Power BI
Kubernetes
Docker
Terraform

Visa sponsorship

Not detected in the job text

Keywords

Counterparty Credit Risk
Data Engineering
Data Pipelines
ETL
Oracle Database
Python
Apache Spark
Microsoft Azure
Azure Synapse
Power BI
Excel
Spring Boot
REST APIs
Java
GitHub
GitHub Actions
Kubernetes
Docker
Terraform
OAuth 2.0
Unix/Linux
Data Warehousing
Data Modeling
Cloud Migration
Agile
Scrum
L3 Support
Release Management
ITIL
Capital Markets

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