Jobs in Canada

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Added 8 hours ago
P
Senior Azure Cloud Platform Engineer
Pinnacle
Toronto, ON
- Full-time
Proven experience with scripting languages like: PowerShell, Python, JavaScript
Added 8 hours ago
N
POS Integration & Implementation Engineer – Retail (Data)
nugget.ai
Mississauga, ON
- Contract
We are seeking an experienced POS Integration & Implementation Engineer to lead technical integrations between Daisy Retail and third-party POS systems.
Added 8 hours ago
RB
Sr Mgr, Cred Risk Acquisition
Rogers Bank
Toronto, ON
- Full-time
We are looking for an experienced and highly analytical Senior Manager, Credit Risk Strategy, Acquisition to lead the development and optimization of credit card acquisition strategies.
Added 12 hours ago
GC
Senior Cyber Defense Operations Analyst
Game Companies
Vancouver, BC
- Full-time
…technology that support it. As a Senior CDO Analyst, you will lead investigations and incident response while helping reinvent how the SOC operates, turning repeatable analysis into…
Added 13 hours ago
Q
Senior Software Developer
Quillogic
Revelstoke, BC
- Full-time
Must live in Canada and have legal authorization to work in Canada on an unrestricted basis
Added 13 hours ago
D
Senior Data Scientist, Credit Risk Strategy
Desjardins
Montreal, QC
- Full-time
Lead or contribute to large-scale strategic transformation initiatives that require advanced expertise in data science, predictive modelling and credit risk.
Added 13 hours ago
Sr Mgr, Cred Risk Acquisition
Rogers Communications
Toronto, ON
We are looking for an experienced and highly analytical Senior Manager, Credit Risk Strategy, Acquisition to lead the development and optimization of credit card acquisition strategies.
Added 14 hours ago
S
Assistant Bioinformatics Coordinator, S2 Up to 8 FTE
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- Full-time
Added 15 hours ago
PC
Forensic & Dispute Services  Senior Associate (Bilingual FR/EN)
Pwc Canada
Quebec, QC · Montreal, QC
- Full-time
Proficiency in data analytics and visualization platforms such as Alteryx, Power BI, Python and Microsoft would be an asset
Added 16 hours ago
GC
Senior Cyber Defense Operations Analyst
Game Companies
Montreal, QC
- Full-time
…technology that support it. As a Senior CDO Analyst, you will lead investigations and incident response while helping reinvent how the SOC operates, turning repeatable analysis into…
Added 16 hours ago
SM
RQ11880 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 16 hours ago
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RQ11881 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 16 hours ago
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RQ11688 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Onsite – 5 Days per Week
Added 17 hours ago
GC
[Disney Dreamlight Valley PC/Console] Analyste de données sénior - Senior Data Analyst
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Montreal, QC
- Full-time
Relevant du Live Ops Studio Lead, vous serez la référence analytique de l'équipe. Vous contribuerez directement aux décisions stratégiques du jeu grâce à des analyses approfondies, tout en…
Added 17 hours ago
MA
Oliver Wyman - Sr. Analyst, Associate Team Lead; Team Lead; Director-Data and Analytics (DNA) - Toronto
Marsh Agency
Toronto, ON
- Full-time
…these complex issues. Together, we create breakthroughs that lead to remarkable…
Added 17 hours ago
J
Django/Python Developer (Full-Stack) (NLM)
JobsInPython
Prince Edward, ON
- Full-time
We are seeking a senior full-stack developer to own and modernize shared Python/Django capabilities and serve as the technical escalation point for complex, cross-application work. The role…
Added 17 hours ago
MA
SVP, Actuary
Marsh Agency
Toronto, ON
- Full-time
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 18 hours ago
Staff Machine Learning Engineer, AdTech
HelloFresh
Toronto, ON
We are looking for a Staff Machine Learning & AI Engineer to lead the engineering architecture of our multi-agent AI systems, with a focus on agent-driven products. In this role, you will…
Added 19 hours ago
LS
DevSecOps Engineer - Permanent - 19668
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Ottawa, ON
- Full-time
…telemetry, participate in shared on-call incident response, and lead post-incident analyses to continuously elevate platform uptime and delivery…
Added 19 hours ago
SE
Heat Transfer Design Specialist
Siemens Energy
Montreal, QC
- Full-time
Lead the charge in implementing sustainable materials and innovative designs that set new industry benchmarks.
Added 19 hours ago
Senior Network & Systems Administrator
G Mining Services / G Services Miniers
Brossard, QC
Reporting to the IT Lead, the incumbent is a senior technical contributor responsible for the proper operation, security, and evolution of the company’s network infrastructure, servers,…
Added 19 hours ago
RE
Principal Engineer Physical AI Systems Modeling
Renesas Electronics
Ottawa, ON
- Full-time
…Innovation Office. As a principal contributor, you will define and lead research in foundation model training and fine-tuning, vision-language-action models, reinforcement learning, and…
Added 19 hours ago
K
DevOps Engineer
Kablamo
Toronto, ON
- Full-time
Coding/scripting skills in one or more of (Javascript, Ruby, Java, Python, Golang, Bash)
Added 20 hours ago
TR
Principal Software Engineer / Architect – AI – Legal FDE
Thomson Reuters
Toronto, ON
- Full-time
Lead the selection, evaluation, and adoption of technologies, frameworks, and patterns, and build consensus across teams.
Added 20 hours ago
VE
Battery Development Scientist / Engineer
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Pickering, ON
- Full-time
Working closely with our Battery Technology Lead, the successful candidate will contribute to the development, fabrication, testing, and optimization of advanced battery materials and…

nugget.ai

POS Integration & Implementation Engineer – Retail (Data)

Mississauga, ON, Canada

Contract

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Applications open in a new tab.

Job details

Job type: Contract
Apply by: Dec 12, 2026
Posting language: English
Posted: Nov 12, 2026

Original job description

Location: Toronto, Ontario, Canada (Hybrid/Remote, depending on business requirements) - Daisyintelligence.com

Position Overview

We are seeking an experienced POS Integration & Implementation Engineer to lead technical integrations between Daisy Retail and third-party POS systems.

The ideal candidate will have strong experience in SQL, REST APIs, ETL processes, retail data integration, and customer-facing technical implementations.

This individual will work closely with POS technology partners, retail customers, and Daisy's internal engineering and AI teams to establish reliable data connections, automate data synchronization, and ensure successful customer onboarding.

Key Responsibilities

1. POS Systems Integration

Lead technical integrations with retail POS systems and technology partners.
Work with POS vendors to understand their APIs, database schemas, data formats, and integration capabilities.
Establish secure data connections between retailers' POS systems and Daisy Retail.
Integrate sales transactions, product catalogs, SKU/UPC information, pricing, promotions, inventory, and store-level data.
Support API-based, database-based, and file-based integrations depending on POS vendor capabilities.
Develop reusable integration frameworks to accelerate onboarding of new POS partners and retailers.

2. SQL & Database Integration

Develop and optimize complex SQL queries, joins, CTEs, views, and stored procedures.
Extract and transform retail transaction, pricing, inventory, and product data.
Work with Microsoft SQL Server, PostgreSQL, MySQL, or equivalent relational databases.
Perform data reconciliation, validation, and troubleshooting.
Optimize database queries and data extraction processes for performance and scalability.
Investigate missing, duplicated, inconsistent, or delayed POS data.

3. API & ETL Development

Develop and maintain integrations using REST APIs, JSON, XML, CSV, and SFTP.
Build and maintain ETL/ELT pipelines for automated data extraction, transformation, and loading.
Develop Python scripts for data processing, automation, and integration workflows.
Implement scheduled and incremental data synchronization.
Handle API authentication, pagination, rate limits, retries, and error handling.
Monitor integration performance and resolve synchronization failures.

4. Retail Data Mapping & AI Platform Integration

Map POS data fields to Daisy Retail's standardized data model.
Ensure accurate ingestion of sales, pricing, promotions, product, and inventory information.
Work with Daisy's AI and analytics teams to understand data requirements for price optimization and promotional recommendations.
Validate historical and ongoing data feeds to support AI analysis.
Maintain data consistency across multiple stores, POS systems, and retail customers.
Support onboarding of new retail data sources as Daisy expands its AI capabilities.

5. Customer Onboarding & Technical Implementation

Manage technical implementation after POS partnerships are established.
Conduct technical discovery sessions with POS partners and retail customers.
Gather integration requirements and assess technical feasibility.
Configure and test data integrations for new retail customers.
Coordinate user acceptance testing, production deployment, and go-live activities.
Provide technical troubleshooting and post-implementation support.
Collaborate with internal engineering, product, customer success, and business development teams.

6. Data Security, Monitoring & Documentation

Implement secure data transfer, encryption, and credential management.
Follow least-privilege access principles for POS databases and APIs.
Maintain integration logs, monitoring, alerts, and audit trails.
Document API specifications, database mappings, integration workflows, and troubleshooting procedures.
Ensure reliable and scalable integration architecture.

Required Technical Skills

SQL & Databases - Mandatory

Advanced SQL, including complex joins, CTEs, aggregations, and window functions.
Microsoft SQL Server (T-SQL), PostgreSQL, or MySQL.
Query optimization, stored procedures, views, and data reconciliation.
Experience working with large transactional datasets.

API Integration - Mandatory

REST APIs, JSON, XML, and HTTP.
OAuth 2.0, API keys, and token-based authentication.
Postman or equivalent API testing tools.
API pagination, rate limiting, retries, and error handling.

Data Engineering & ETL - Mandatory

ETL/ELT pipeline development.
Python for data extraction, transformation, and automation.
CSV, JSON, XML, and SFTP data integration.
Data mapping, validation, and synchronization.

Retail POS Systems - Mandatory

Hands-on experience integrating POS systems or retail transaction platforms.
Understanding of sales transactions, SKUs, UPCs, product catalogs, pricing, discounts, promotions, returns, and inventory.
Experience working with multi-store retail environments.
Familiarity with POS platforms such as NCR, Lightspeed, Shopify POS, Oracle Retail, Square, or similar solutions.

Cloud & Development Tools - Preferred

Microsoft Azure or AWS.
Git and CI/CD fundamentals.
Cloud-based data pipelines and scheduled jobs.
Logging, monitoring, and automated testing.

Nice-to-Have Experience

Grocery, supermarket, or multi-location retail technology.
Retail pricing and promotion management systems.
Electronic shelf label (ESL) integrations.
Retail analytics or AI-powered SaaS platforms.
Experience integrating multiple POS vendors into a standardized data platform.

Key Success Measures

Successful onboarding of new POS partners and retail customers.
Accurate and timely delivery of retail data into Daisy Retail.
Reduced integration implementation timelines.
Minimal data synchronization failures.
High data quality and reliable integration performance.
Reusable integration processes that support business growth.

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More about this job

Responsibilities

Lead integrations between retail POS systems and Daisy Retail, including data extraction, transformation, synchronization, validation, and troubleshooting. Manage technical discovery and customer onboarding through testing and deployment, while maintaining secure, monitored, documented, and scalable integrations.

Requirements

Requires advanced SQL and relational database experience, REST API integration, Python-based ETL/ELT development, and hands-on experience integrating retail POS or transaction platforms. Candidates should understand retail sales, product, pricing, promotion, and inventory data, with experience supporting multi-store environments and customer-facing implementations.

Skills

Advanced SQL
Relational Databases
REST API Integration
ETL/ELT Pipelines
Python
Retail POS Integration
Data Mapping
Data Validation
Data Reconciliation
JSON
XML
CSV
SFTP
OAuth 2.0
Query Optimization
Customer Onboarding

Visa sponsorship

Not detected in the job text

Keywords

SQL
Microsoft SQL Server
T-SQL
PostgreSQL
MySQL
REST APIs
JSON
XML
CSV
SFTP
Python
ETL/ELT
OAuth 2.0
Postman
Retail POS Systems
NCR
Lightspeed
Shopify POS
Oracle Retail
Square
Azure
AWS
Git
CI/CD
Data Synchronization
Data Reconciliation
Retail Data Mapping
Inventory Management
Pricing and Promotions
Electronic Shelf Labels

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Jobs in Canada