
11 - 50 employees
Founded 2008
🛍️ eCommerce
☁️ SaaS
🤖 Artificial Intelligence
eCommerce • SaaS • Artificial Intelligence
Workiy Inc. is a global digital solutions company specializing in comprehensive services for web and mobile application development, digital marketing, and cloud transformation. With a focus on tailored technology solutions, Workiy aims to empower businesses by enhancing their digital presence through innovative strategies including custom software development, UX/UI design, and enterprise application management. The company operates with a client-centric approach, showcasing extensive expertise in various technologies such as Drupal, Shopify, and Salesforce, promoting efficient business operations and enhanced user experiences.
🕒 3 days ago
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
Founded 2008
🛍️ eCommerce
☁️ SaaS
🤖 Artificial Intelligence
eCommerce • SaaS • Artificial Intelligence
Workiy Inc. is a global digital solutions company specializing in comprehensive services for web and mobile application development, digital marketing, and cloud transformation. With a focus on tailored technology solutions, Workiy aims to empower businesses by enhancing their digital presence through innovative strategies including custom software development, UX/UI design, and enterprise application management. The company operates with a client-centric approach, showcasing extensive expertise in various technologies such as Drupal, Shopify, and Salesforce, promoting efficient business operations and enhanced user experiences.
• Support the Digital Regulatory Assurance System (DRAS). • Design, build, and maintain scalable Azure-based data solutions. • Enable analytics, reporting, regulatory compliance, and future AI initiatives.
• Post-secondary degree, diploma, or certificate in Computer Science or a related field. • 5+ years of hands-on experience with Python and SQL for data engineering. • 4+ years of experience using GitHub/Git for version control and collaborative development. • 3+ years of experience with Azure Infrastructure and Services, Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Building scalable data pipelines, Designing analytics-ready data platforms. • 2+ years of experience in data governance, metadata management, and security within Azure Databricks environments. • 1+ year of experience using AI-driven tools for code generation, automation, or development productivity.
• Health insurance • Flexible work arrangements • Professional development
Apply Now🕒 June 24
1 - 10
Data Engineer joining a Canadian client's team on a contract engagement. Working with data and analytics to maintain pipelines, model data, and support Power BI reports.
Python
SQL
🕒 May 28
Data Architect providing strategic and technical leadership in enterprise data environments for a government client. Focus on modernization and effective data management across departments and systems.
AWS
Azure
Cloud
ETL
Google Cloud Platform
NoSQL
🕒 March 10
Data Engineering Lead building critical data foundations for AI systems in an operational AI firm. Collaborate with architects and engineers to drive logistics data insights.
Cloud
ERP
ETL
Node.js
Postgres
Python
SQL