détails d'emploi
Our client, is seeking an experienced, hands-on Business Intelligence & Application Developer to lead the technical architecture, development, and expansion of a production R/Shiny web application alongside executive-level reporting suites.
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In this full-stack engineering role, you will take direct ownership of the technology portfolio analytics ecosystem—moving beyond basic script maintenance to drive end-to-end architecture decisions independently. Operating as a principal developer, you will extend features, refactor reactive architectures for scale, containerize microservices, build robust data pipelines, and integrate AI-assisted automation workflows across cloud data platforms (Azure, Databricks, Fabric). This role is ideal for a full-stack analytics engineer who pairs an absolute command of R/Shiny, SQL, and Python with modern software engineering discipline (Git, CI/CD, Docker, Terraform) and an eye for polished user experiences.
Duration: 8-Month Contract (with high potential for extension)
Work Arrangement: 1-2 days/ week in the office
Advantages
100% Fully Remote Work: Enjoy complete work-from-home flexibility from anywhere within the region.
Full Architectural Ownership: Serve as the primary technical lead, making key decisions regarding application hosting, reactive framework design, CI/CD pipelines, and infrastructure as code.
Modern Cloud & Data Sandbox: Expand your technical portfolio by engineering pipelines across top-tier enterprise platforms, including Microsoft Azure, Databricks, Fabric, Docker, and Terraform.
High Executive Visibility: Architect and deliver executive-grade self-service analytics tools, automated reporting platforms, and AI-powered workflow solutions used directly by enterprise leadership.
Responsibilities
R/Shiny & Full-Stack Application Development
End-to-End Application Architecture: Own the full-lifecycle architecture, expansion, and refactoring of a production-grade R/Shiny web application, optimizing performance for growing datasets and concurrent users.
Modular Code & UX Engineering: Design modular, reusable Shiny components (reactive architectures, custom UI/JS integrations), leveraging front-end sensibilities (React or equivalent) to elevate user experience beyond native component limits.
Software Engineering Practice: Implement software delivery standards including Git version control, CI/CD automation, unit testing, code reviews, and containerization using Docker, Kubernetes, and Terraform.
API & Security Integration: Integrate web applications with backend databases, RESTful APIs, and enterprise authentication/security layers.
Data Architecture, Analytics & Semantic Modeling
Data Pipeline & Model Engineering: Design data models, integration patterns, and standardized pipelines across cloud platforms (Azure, Databricks, Fabric, Postgres).
Business Intelligence & DAX: Develop robust semantic layers, complex DAX measures, and executive-level Power BI dashboards, establishing a unified source of truth.
Data Quality Governance: Detect, investigate, and reconcile data quality anomalies across disparate source systems before they impact core enterprise KPIs.
Workflow Automation & Applied AI
Process Automation: Build end-to-end automated operational workflows using Python, Power Platform, Power Automate, Copilot Studio, and orchestration frameworks (Airflow, GitHub Actions).
AI & Machine Learning Integration: Implement durable AI and machine learning models (forecasting, anomaly detection, clustering) into daily analytics, driving user adoption while adhering to responsible AI governance.
Qualifications
Application Development (R & Shiny): Demonstrated hands-on experience architecting, scaling, and maintaining complex production R/Shiny web applications.
Software Engineering Fundamentals: Solid command of software development practices, including Git, CI/CD, modular code design, debugging, and testing.
Infrastructure & Containerization: Working knowledge of Docker, Kubernetes, and Terraform for application deployment and infrastructure management.
Data Querying & Scripting Languages: High proficiency in SQL, Python, and DAX.
Cloud & Modern Data Platforms: Hands-on experience across the Microsoft Azure ecosystem (Databricks, Fabric), with exposure to additional cloud platforms (AWS, GCP, Postgres) considered a strong plus.
BI & Reporting Mastery: Advanced Power BI development expertise, including administration, semantic modeling, security protocols, and executive dashboard delivery.
Applied AI & Automation: Proven experience constructing AI-powered workflow tools and automated data pipelines.
Soft Skills: Exceptional written and verbal communication skills; a self-directed problem solver who can independently clarify ambiguous business needs into structured technical solutions.
Summary
If you are a tech-savvy Business Intelligence & Application Developer who pairs an absolute command of production R/Shiny architecture, SQL, and Python with the full-stack software engineering discipline (Docker, CI/CD, Azure, Databricks) required to build scalable enterprise analytics apps, this 100% remote 8-month contract is an outstanding opportunity. Bring your data architecture precision, UX sensibility, and automated AI workflow skills to our client's technology portfolio team today!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
voir plus
Our client, is seeking an experienced, hands-on Business Intelligence & Application Developer to lead the technical architecture, development, and expansion of a production R/Shiny web application alongside executive-level reporting suites.
In this full-stack engineering role, you will take direct ownership of the technology portfolio analytics ecosystem—moving beyond basic script maintenance to drive end-to-end architecture decisions independently. Operating as a principal developer, you will extend features, refactor reactive architectures for scale, containerize microservices, build robust data pipelines, and integrate AI-assisted automation workflows across cloud data platforms (Azure, Databricks, Fabric). This role is ideal for a full-stack analytics engineer who pairs an absolute command of R/Shiny, SQL, and Python with modern software engineering discipline (Git, CI/CD, Docker, Terraform) and an eye for polished user experiences.
Duration: 8-Month Contract (with high potential for extension)
Work Arrangement: 1-2 days/ week in the office
Advantages
100% Fully Remote Work: Enjoy complete work-from-home flexibility from anywhere within the region.
...
Full Architectural Ownership: Serve as the primary technical lead, making key decisions regarding application hosting, reactive framework design, CI/CD pipelines, and infrastructure as code.
Modern Cloud & Data Sandbox: Expand your technical portfolio by engineering pipelines across top-tier enterprise platforms, including Microsoft Azure, Databricks, Fabric, Docker, and Terraform.
High Executive Visibility: Architect and deliver executive-grade self-service analytics tools, automated reporting platforms, and AI-powered workflow solutions used directly by enterprise leadership.
Responsibilities
R/Shiny & Full-Stack Application Development
End-to-End Application Architecture: Own the full-lifecycle architecture, expansion, and refactoring of a production-grade R/Shiny web application, optimizing performance for growing datasets and concurrent users.
Modular Code & UX Engineering: Design modular, reusable Shiny components (reactive architectures, custom UI/JS integrations), leveraging front-end sensibilities (React or equivalent) to elevate user experience beyond native component limits.
Software Engineering Practice: Implement software delivery standards including Git version control, CI/CD automation, unit testing, code reviews, and containerization using Docker, Kubernetes, and Terraform.
API & Security Integration: Integrate web applications with backend databases, RESTful APIs, and enterprise authentication/security layers.
Data Architecture, Analytics & Semantic Modeling
Data Pipeline & Model Engineering: Design data models, integration patterns, and standardized pipelines across cloud platforms (Azure, Databricks, Fabric, Postgres).
Business Intelligence & DAX: Develop robust semantic layers, complex DAX measures, and executive-level Power BI dashboards, establishing a unified source of truth.
Data Quality Governance: Detect, investigate, and reconcile data quality anomalies across disparate source systems before they impact core enterprise KPIs.
Workflow Automation & Applied AI
Process Automation: Build end-to-end automated operational workflows using Python, Power Platform, Power Automate, Copilot Studio, and orchestration frameworks (Airflow, GitHub Actions).
AI & Machine Learning Integration: Implement durable AI and machine learning models (forecasting, anomaly detection, clustering) into daily analytics, driving user adoption while adhering to responsible AI governance.
Qualifications
Application Development (R & Shiny): Demonstrated hands-on experience architecting, scaling, and maintaining complex production R/Shiny web applications.
Software Engineering Fundamentals: Solid command of software development practices, including Git, CI/CD, modular code design, debugging, and testing.
Infrastructure & Containerization: Working knowledge of Docker, Kubernetes, and Terraform for application deployment and infrastructure management.
Data Querying & Scripting Languages: High proficiency in SQL, Python, and DAX.
Cloud & Modern Data Platforms: Hands-on experience across the Microsoft Azure ecosystem (Databricks, Fabric), with exposure to additional cloud platforms (AWS, GCP, Postgres) considered a strong plus.
BI & Reporting Mastery: Advanced Power BI development expertise, including administration, semantic modeling, security protocols, and executive dashboard delivery.
Applied AI & Automation: Proven experience constructing AI-powered workflow tools and automated data pipelines.
Soft Skills: Exceptional written and verbal communication skills; a self-directed problem solver who can independently clarify ambiguous business needs into structured technical solutions.
Summary
If you are a tech-savvy Business Intelligence & Application Developer who pairs an absolute command of production R/Shiny architecture, SQL, and Python with the full-stack software engineering discipline (Docker, CI/CD, Azure, Databricks) required to build scalable enterprise analytics apps, this 100% remote 8-month contract is an outstanding opportunity. Bring your data architecture precision, UX sensibility, and automated AI workflow skills to our client's technology portfolio team today!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
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