Jobs in Canada

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Added 2 days ago
CG
Senior Escalation Engineer
CyberForce Global
Toronto, ON
- Full-time
Senior Escalation Engineer | AI Enterprise Security Startup | Toronto
Added 2 days ago
Data Engineer
CANADIAN AIR TRANSPORT SECURITY AUTHORITY
Ottawa, ON
To qualify for the position, you must have:
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Member of Technical Staff 4
Nutanix
Vancouver, BC
- $151,000 to $227,000 CAD / year
- Full-time
Are you an enthusiastic early-career engineer passionate about building secure AI infrastructure from the ground up? Join Nutanix to help develop our DataHub platform - an enterprise data…
Added 2 days ago
GC
Experienced DevOps Engineer - EA Sports Technology
Game Companies
Vancouver, BC
- Full-time
The EA SPORTS™ Technical Team is seeking an experienced DevOps Engineer with a passion for technology and a strong background in designing, deploying, and operating solutions in public…
Added 2 days 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 2 days ago
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Senior Software Engineer
Virtusa
Mississauga, ON
- Full-time
Programming/Scripting: knowledge and experience with Shell scripting, Python, Perl, Java, C/C++
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Optical Coherent System Engineer
Nokia
Ottawa, ON · Kanata, ON
- Full-time
Nokia is seeking a Coherent Optical Systems Engineer to join our Optical Systems Group (OSG). The engineer will be responsible for contributing to the design, characterization, and…
Added 2 days ago
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Senior Azure Cloud Platform Engineer
Pinnacle
Toronto, ON
- Full-time
Job Title: Senior Azure Cloud Platform Engineer
Added 2 days ago
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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 2 days ago
VT
Data Engineer - Snowflake / Hadoop
Viva Tech Solutions
Toronto, ON
- Contract
Write high-quality, maintainable Python and SQL code following best practices
Added 2 days ago
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2027 New Grad - Solutions Engineer
Geek+
Markham, ON
- Full-time
As a Solutions Engineer at Geek+, you’ll turn customer data into automation solutions that work on the warehouse floor. You’ll analyze clients’ operational data (order profiles, SKU…
Added 2 days ago
GA
2027 New Grad Position - Solutions Engineer
Geekplus America Inc
Markham, ON
- Full-time
As a Solutions Engineer at Geek+, you’ll turn customer data into automation solutions that work on the warehouse floor. You’ll analyze clients’ operational data (order profiles, SKU…
Added 2 days ago
Q
Connectivity Systems Engineer, Senior Staff
Qualcomm
Toronto, ON
- Full-time
As a connectivity systems engineer, you'll define and develop the technologies that underlie the next generation of our products. The ideal candidate will have extensive hands-on experience…
Added 2 days ago
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Django/Python Developer (Full-Stack) (NLM)
JobsInPython
Prince Edward, ON
- Full-time
Skills AWS Django Git PostgreSQL REST API Python
Added 2 days 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 2 days ago
LS
DevSecOps Engineer - Permanent - 19668
LRO Staffing
Ottawa, ON
- Full-time
A well-reputed, Ottawa-based software company is looking to add a DevSecOps Engineer to own the deployment, resilience, and security architecture of their core product suite. In this role,…
Added 2 days ago
SE
Heat Transfer Design Specialist
Siemens Energy
Montreal, QC
- Full-time
You are not just an engineer; you are a vital part of our mission to revolutionize the energy industry. Your contributions will include:
Added 2 days ago
RE
Staff Engineer Physical AI Systems
Renesas Electronics
Ottawa, ON
- Full-time
We are seeking a Staff Engineer (Physical AI - System Engineering) to join the Pathfinding Studio within the Engineering Innovation Office. In this role, you will develop and validate…
Added 2 days ago
RE
Principal Engineer Physical AI Systems Modeling
Renesas Electronics
Ottawa, ON
- Full-time
We are seeking a Principal Engineer (Physical AI - System Modeling) to join the Pathfinding Studio within the Engineering Innovation Office. As a principal contributor, you will define and…
Added 2 days ago
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DevOps Engineer
Kablamo
Toronto, ON
- Full-time
We are looking for a DevOps Engineer as we expand our impact with new customers. This posting supports positions to start between November 2026 and February 2027.
Added 2 days ago
CS
BI Developer & Data Engineer
Cynet Systems
Montreal, QC
- $40 to $45 CAD / hour
- Contract
We are seeking an experienced BI Developer & Data Engineer Contractor to design and implement scalable analytics solutions supporting the organization s manufacturing, engineering, and…
Added 2 days ago
TR
Principal Software Engineer / Architect – AI – Legal FDE
Thomson Reuters
Toronto, ON
- Full-time
Expert Python (FastAPI or equivalent), with strong experience in RESTful, async, and event-driven architectures.
Added 2 days ago
XS
Healthcare Data Engineer
XChange Software Inc
Canada
- Contract
We are looking for an experienced Senior Data Engineer with strong expertise in Python, PySpark, SQL, and AWS data services to lead enterprise-level data engineering initiatives.
Added 2 days ago
SI
Data Engineer
Spait Infotech
Canada
- Full-time
Added 2 days ago
JG
Senior Data Engineer
J&M Group
Toronto, ON
- Full-time
Strong Python programming and software engineering practices, including testing, code quality, and Git-based development workflows.

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