Jobs in Canada

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Added 18 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 18 hours ago
SM
RQ11688 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Onsite – 5 Days per Week
Added 18 hours ago
SM
RQ11881 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 18 hours ago
BI
Lead AWS Python Developer Calgary, Alberta, Canada
BURGEON IT SERVICES
AB · Alberta, Canada
- Contract
Seeking an experienced AWS Python Technology Lead to drive digital transformation initiatives. The candidate will be responsible for developing and implementing technology solutions,…
Added 18 hours ago
RD
Senior Technical Analyst - DevOps & Production Ops
Randstad Digital
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Our client is seeking a hands-on Senior Technical Analyst / Developer with a strong focus on AWS DevOps, cloud infrastructure, and production operations to deploy, scale, and support…
Added 18 hours ago
Catastrophe Risk Specialist / Senior Catastrophe Risk Specialist
Wawanesa Insurance
Toronto, ON · AB · Winnipeg, MB · Ottawa, ON · Kitchener, ON · Vancouver, BC · Calgary, AB · ON · Edmonton, AB (Hybrid), AB · North York - Toronto, ON (Hybr, ON · Hybrid - Canada, ON
Lead more complex catastrophe risk analyses, model evaluations and accumulation management initiatives with a high degree of autonomy.
Added 18 hours ago
D
Senior Pipeline Engineer
DNV
Calgary, AB
- Full-time
Independently lead or own complex technical work associated with pipeline hydraulic modeling and simulation projects.
Added 18 hours ago
Senior Stress Engineer
L3Harris Technologies
Mirabel, QC
Job Schedule: Day Shift
Added 19 hours ago
A
AI Native Solutions Lead (Agentic / Applied)
Accenture
Toronto, ON
- Full-time
…client organizations. The difference between an AI Solutions Lead and what we are looking for is straightforward: you have shipped a multi-agent system in production, you have owned the…
Added 19 hours ago
AC
Senior Health Economics Consultant (F/M/X)
Amaris Consulting | Part of Mantu
Montreal, QC
- Full-time
Proficiency in Excel; experience with statistical or modelling tools such as R, Python, VBA, or TreeAge is a plus.
Added 19 hours ago
AC
Senior Health Economics Consultant (F/M/X)
Amaris Consulting | Part of Mantu
Toronto, ON
- Full-time
Proficiency in Excel; experience with statistical or modelling tools such as R, Python, VBA, or TreeAge is a plus.
Added 19 hours ago
AC
Development Lead
Air Canada
Toronto, ON · Dorval, QC
- Full-time
The Development Lead is a senior, hands-on developer who drives sprint execution and delivery outcomes within an Agile delivery pod, and who practices AI-first, agentic engineering as the…
Added 21 hours ago
L
Applied AI/ML Scientist
lululemon
Vancouver, BC
- Full-time
Experience with ML implementation using commonly used tools such as Python, pyTorch, cloud ML platforms and libraries, open-source toolkits.
Added 21 hours ago
L
Senior AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
As a Senior AI/ML Engineer, you will lead the delivery of scalable AI/ML solutions to business problems. You will build, deploy, scale and maintain AI/ML solutions. You will apply…
Added 22 hours ago
T
IT Solutions Architect – Box Platform
TalentWorld
Toronto, ON
- Temporary
Lead enterprise projects from detailed design to production, including data integrations, testing and deployment
Added 22 hours ago
T
Platform Engineering Manager – GCP/Kubernetes
TalentWorld
Toronto, ON
- Temporary
On-site in the Greater Toronto Area, 4 days per week · Schedule: Full-time, on-site 4 days per week; start as soon as possible
Added 22 hours ago
P
Senior Azure Cloud Platform Engineer
Pinnacle
Toronto, ON
- Full-time
Proven experience with scripting languages like: PowerShell, Python, JavaScript
Added 22 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 22 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 1 day 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 1 day 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 1 day 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 1 day 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 1 day ago
S
Assistant Bioinformatics Coordinator, S2 Up to 8 FTE
Sanya’k̓ula
Vancouver, BC
- Full-time
Added 1 day 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

nugget.ai

POS Integration & Implementation Engineer – Retail (Data)

Mississauga, ON, Canada

Contract

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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