Role: Data Science Developer
Client: Government, Broader Public SectorJob Type: ContractTerm: 12 MonthsWorkplace Type: Hybrid / OnsitePay Rate: NegotiableStart date: 2-3 weeksLocation: Toronto, ONLanguage: EnglishClearance: N/AATS ID #: 9863
Requirements: What you'll needSkills, Knowledge, Experience, and Qualifications:
Experience:
2–5 years of professional experience in data science, data analytics, or a related quantitative field (e.g., data engineering, machine learning, or business intelligence) or equivalent.Proven experience in data analysis, visualization, and statistical modeling for real-world business or research problems.Demonstrated ability to clean, transform, and manage large datasets using Python, R, or SQL.Hands-on experience building and deploying predictive models or machine learning solutions in production or business environments.Experience with data storytelling and communicating analytical insights to non-technical stakeholders.Exposure to cloud environments (AWS, Azure, or GCP) and version control tools (e.g., Git).Experience working in collaborative, cross-functional teams, ideally within Agile or iterative project structures.Knowledge of ETL pipelines, APIs, or automated data workflows is an asset.Previous work with dashboarding tools (Power BI, Tableau, or Looker) is preferred.
Technical Skills:
Programming & Data HandlingPython (pandas, NumPy, scikit-learn, statsmodels, matplotlib, seaborn)SQL (complex queries, joins, aggregations, optimization)Data preprocessing (feature engineering, missing data handling, outlier detection)Machine Learning & Statistical ModelingProficiency in supervised and unsupervised learning techniques (regression, classification, clustering, dimensionality reduction)Understanding of model evaluation metrics and validation techniques (cross-validation, A/B testing, ROC-AUC, confusion matrix)Basic understanding of deep learning frameworks (TensorFlow, PyTorch, or Keras) is a plusData Visualization & ReportingExpertise with visualization libraries (matplotlib, seaborn, plotly, or equivalent)Experience building interactive dashboards (Tableau, Power BI, Dash, or Streamlit)Ability to design clear, impactful data narratives and reportsData Infrastructure & ToolsExperience with cloud-based data services (e.g., AWS S3, Redshift, Azure Data Lake, GCP BigQuery)Experience working with big data frameworks such as Apache Spark and Hadoop for large-scale data processing.Familiarity with data pipeline and workflow toolsExperience with API integration and data automation scripts (Selenium, Python, etc)Solid grounding in probability, statistics, and linear algebraUnderstanding of hypothesis testing, confidence intervals, and sampling methods
Soft Skills:
Strong communication skills; both written and verbal Ability to develop and present new ideas and conceptualize new approaches and solutions Excellent interpersonal relations and demonstrated ability to work with others effectively in teams Demonstrated ability to work with functional and technical teams Demonstrated ability to participate in a large team and work closely with other individual team members Proven analytical skills and systematic problem solving Strong ability to work under pressure, work with aggressive timelines, and be adaptive to change Displays problem-solving and analytical skills, using them to resolve technical problems Must Have:
2–5 years of professional experience in data science, data analytics, or a related quantitative field (e.g., data engineering, machine learning, or business intelligence) or equivalent.Proven experience in data analysis, visualization, and statistical modeling for real-world business or research problems.Demonstrated ability to clean, transform, and manage large datasets using Python, R, or SQL.Programming & Data HandlingPython (pandas, NumPy, scikit-learn, statsmodels, matplotlib, seaborn)SQL (complex queries, joins, aggregations, optimization)Data preprocessing (feature engineering, missing data handling, outlier detection)Experience working with big data frameworks such as Apache Spark and Hadoop for large-scale data processing.
PREFERRED SKILLS
Data Science + Data Analysis + Python + SQL + Apache Spark or Hadoop + Selenium + Azure or GCP
HOW TO APPLY
Patrick Marsan is hiring for this position. Apply through LinkedIn.
Follow Wirehead on LinkedIn
Interested in working with us in the future?members who follow a company they’re interested in, like Wirehead, are 5x more likely to receive a message from a recruiter than those who don’t.
We thank all candidates for their interest but advise that only candidates selected for interviews will be contacted. Rest assured that your resume will be kept on our database and will be considered for all future opportunities.
Applicants must be authorized to work in Canada.
Copyright 2007 - 2025 | Wirehead Talent | All rights reserved
Role: Data Science Developer
Client: Government, Broader Public SectorJob Type: ContractTerm: 12 MonthsWorkplace Type: Hybrid / OnsitePay Rate: NegotiableStart date: 2-3 weeksLocation: Toronto, ONLanguage: EnglishClearance: N/AATS ID #: 9863
Requirements: What you'll needSkills, Knowledge, Experience, and Qualifications:
Experience:
2–5 years of professional experience in data science, data analytics, or a related quantitative field (e.g., data engineering, machine learning, or business intelligence) or equivalent.Proven experience in data analysis, visualization, and statistical modeling for real-world business or research problems.Demonstrated ability to clean, transform, and manage large datasets using Python, R, or SQL.Hands-on experience building and deploying predictive models or machine learning solutions in production or business environments.Experience with data storytelling and communicating analytical insights to non-technical stakeholders.Exposure to cloud environments (AWS, Azure, or GCP) and version control tools (e.g., Git).Experience working in collaborative, cross-functional teams, ideally within Agile or iterative project structures.Knowledge of ETL pipelines, APIs, or automated data workflows is an asset.Previous work with dashboarding tools (Power BI, Tableau, or Looker) is preferred.
Technical Skills:
Programming & Data HandlingPython (pandas, NumPy, scikit-learn, statsmodels, matplotlib, seaborn)SQL (complex queries, joins, aggregations, optimization)Data preprocessing (feature engineering, missing data handling, outlier detection)Machine Learning & Statistical ModelingProficiency in supervised and unsupervised learning techniques (regression, classification, clustering, dimensionality reduction)Understanding of model evaluation metrics and validation techniques (cross-validation, A/B testing, ROC-AUC, confusion matrix)Basic understanding of deep learning frameworks (TensorFlow, PyTorch, or Keras) is a plusData Visualization & ReportingExpertise with visualization libraries (matplotlib, seaborn, plotly, or equivalent)Experience building interactive dashboards (Tableau, Power BI, Dash, or Streamlit)Ability to design clear, impactful data narratives and reportsData Infrastructure & ToolsExperience with cloud-based data services (e.g., AWS S3, Redshift, Azure Data Lake, GCP BigQuery)Experience working with big data frameworks such as Apache Spark and Hadoop for large-scale data processing.Familiarity with data pipeline and workflow toolsExperience with API integration and data automation scripts (Selenium, Python, etc)Solid grounding in probability, statistics, and linear algebraUnderstanding of hypothesis testing, confidence intervals, and sampling methods
Soft Skills:
Strong communication skills; both written and verbal Ability to develop and present new ideas and conceptualize new approaches and solutions Excellent interpersonal relations and demonstrated ability to work with others effectively in teams Demonstrated ability to work with functional and technical teams Demonstrated ability to participate in a large team and work closely with other individual team members Proven analytical skills and systematic problem solving Strong ability to work under pressure, work with aggressive timelines, and be adaptive to change Displays problem-solving and analytical skills, using them to resolve technical problems Must Have:
2–5 years of professional experience in data science, data analytics, or a related quantitative field (e.g., data engineering, machine learning, or business intelligence) or equivalent.Proven experience in data analysis, visualization, and statistical modeling for real-world business or research problems.Demonstrated ability to clean, transform, and manage large datasets using Python, R, or SQL.Programming & Data HandlingPython (pandas, NumPy, scikit-learn, statsmodels, matplotlib, seaborn)SQL (complex queries, joins, aggregations, optimization)Data preprocessing (feature engineering, missing data handling, outlier detection)Experience working with big data frameworks such as Apache Spark and Hadoop for large-scale data processing.
PREFERRED SKILLS
Data Science + Data Analysis + Python + SQL + Apache Spark or Hadoop + Selenium + Azure or GCP
HOW TO APPLY
Patrick Marsan is hiring for this position. Apply through LinkedIn.
Follow Wirehead on LinkedIn
Interested in working with us in the future?members who follow a company they’re interested in, like Wirehead, are 5x more likely to receive a message from a recruiter than those who don’t.
We thank all candidates for their interest but advise that only candidates selected for interviews will be contacted. Rest assured that your resume will be kept on our database and will be considered for all future opportunities.
Applicants must be authorized to work in Canada.
Copyright 2007 - 2025 | Wirehead Talent | All rights reserved
Role: Senior Business Analyst
Client: Ontario GovernmentJob Type: ContractTerm: 286 days + extensionsWorkplace Type: Hybrid / OnsitePay Rate: $85-100Start date: 2-3 weeksLocation: Toronto, ON Language: EnglishClearance: N/AATS ID #: 9944
Requirements: What you'll needSkills, Knowledge, Experience, and Qualifications:
10+ years of extensive experience in the following: Business Analyst Experience:
Understanding of systems environments, business analysis and change management in projects or programs related to integrated multi-ministries’ government services.Knowledge and experience in preparing detailed analysis and recommendations to ensure compliance with appropriate public sector, industry and international standards on security, privacy, and accessibility (must have)Ability to assist with the security issues that could impact developed front-end and integrated systems.Develops informative, coherent, and usable project documents (project artifacts) for multiple stakeholders covering functional and non-functional business requirements.Experience with architectural framework system, specifically Zachman Framework(nice to have)Disaster Recovery Planning (nice to have)IT service value stream mappingAbility to work with business and development teams to document system requirements.Experience with a wide range of methods, tools, and techniques for business analysis such as, but not limited to business functional modelling, business event modelling, business process mapping.Demonstrated experience with creating Business Cases, Screen Design/User Interface, Business Process Models, Privacy Impact Assessment and Threat Risk Assessments Technical Experience:
Knowledge of theory and principles of systems design and development, programming concepts and languages, and related methods, techniques, practices, and standardsIn-depth knowledge of WCAG 2.0 Standards and AODA Compliancy levelsKnowledge and experience creating Wireframes, Use Cases, User Stories (must have)Exposure to working with diverse business environments and enterprise-wide system.Knowledge of Large Language Model and Generative AI applicationDemonstrated Experience with Joint Application development (JAD), Unified Modelling language (UML), and Computer Aided Software Engineering (CASE) tools.Knowledge and Experience of DevOps.Knowledge of Big Data platform and application. Project Experience:
Minimum 5 years experience in creating enterprise architecture documentation; expert level in architectural deliverables, including the following must haves below:Checkpoint/Gating MatrixLogical and Physical DocumentationLogical and Physical Deployment ModelsBusiness Architecture ApproachSequence DiagramData Flow DiagramCross Functional Team Process Flow DiagramArchitectural documents for ACT and ARB approvalsExercises judgment to identify, diagnose, and solve problems within given rules.OPS project experience Agile project experience, and sources management. Communication Skills:
Demonstrated experience in solving problems analytically and making sound decisions.Experience in negotiating using both verbal and written communication skills and should have worked in a team-based environment with a proven record of meeting deadlines.
PREFERRED SKILLS
Disaster Recovery Planning DR / DRP + DevOps + Documentation + LLM / Ai
HOW TO APPLY
Patrick Marsan is hiring for this position.
Follow Wirehead on LinkedIn
Interested in working with us in the future?members who follow a company they’re interested in, like Wirehead, are 5x more likely to receive a message from a recruiter than those who don’t.
We thank all candidates for their interest but advise that only candidates selected for interviews will be contacted. Rest assured that your resume will be kept on our database and will be considered for all future opportunities.
Applicants must be authorized to work in Canada.
Copyright 2007 - 2025 | Wirehead Talent | All rights reserved
Role: Senior Business Analyst
Client: Ontario GovernmentJob Type: ContractTerm: 286 days + extensionsWorkplace Type: Hybrid / OnsitePay Rate: $85-100Start date: 2-3 weeksLocation: Toronto, ON Language: EnglishClearance: N/AATS ID #: 9944
Requirements: What you'll needSkills, Knowledge, Experience, and Qualifications:
10+ years of extensive experience in the following: Business Analyst Experience:
Understanding of systems environments, business analysis and change management in projects or programs related to integrated multi-ministries’ government services.Knowledge and experience in preparing detailed analysis and recommendations to ensure compliance with appropriate public sector, industry and international standards on security, privacy, and accessibility (must have)Ability to assist with the security issues that could impact developed front-end and integrated systems.Develops informative, coherent, and usable project documents (project artifacts) for multiple stakeholders covering functional and non-functional business requirements.Experience with architectural framework system, specifically Zachman Framework(nice to have)Disaster Recovery Planning (nice to have)IT service value stream mappingAbility to work with business and development teams to document system requirements.Experience with a wide range of methods, tools, and techniques for business analysis such as, but not limited to business functional modelling, business event modelling, business process mapping.Demonstrated experience with creating Business Cases, Screen Design/User Interface, Business Process Models, Privacy Impact Assessment and Threat Risk Assessments Technical Experience:
Knowledge of theory and principles of systems design and development, programming concepts and languages, and related methods, techniques, practices, and standardsIn-depth knowledge of WCAG 2.0 Standards and AODA Compliancy levelsKnowledge and experience creating Wireframes, Use Cases, User Stories (must have)Exposure to working with diverse business environments and enterprise-wide system.Knowledge of Large Language Model and Generative AI applicationDemonstrated Experience with Joint Application development (JAD), Unified Modelling language (UML), and Computer Aided Software Engineering (CASE) tools.Knowledge and Experience of DevOps.Knowledge of Big Data platform and application. Project Experience:
Minimum 5 years experience in creating enterprise architecture documentation; expert level in architectural deliverables, including the following must haves below:Checkpoint/Gating MatrixLogical and Physical DocumentationLogical and Physical Deployment ModelsBusiness Architecture ApproachSequence DiagramData Flow DiagramCross Functional Team Process Flow DiagramArchitectural documents for ACT and ARB approvalsExercises judgment to identify, diagnose, and solve problems within given rules.OPS project experience Agile project experience, and sources management. Communication Skills:
Demonstrated experience in solving problems analytically and making sound decisions.Experience in negotiating using both verbal and written communication skills and should have worked in a team-based environment with a proven record of meeting deadlines.
PREFERRED SKILLS
Disaster Recovery Planning DR / DRP + DevOps + Documentation + LLM / Ai
HOW TO APPLY
Patrick Marsan is hiring for this position.
Follow Wirehead on LinkedIn
Interested in working with us in the future?members who follow a company they’re interested in, like Wirehead, are 5x more likely to receive a message from a recruiter than those who don’t.
We thank all candidates for their interest but advise that only candidates selected for interviews will be contacted. Rest assured that your resume will be kept on our database and will be considered for all future opportunities.
Applicants must be authorized to work in Canada.
Copyright 2007 - 2025 | Wirehead Talent | All rights reserved
Role: Azure DevOps Engineer
Client: Ontario GovernmentJob Type: ContractTerm: 12 MonthsWorkplace Type: Hybrid / OnsitePay Rate: NegotiableStart date: 2-3 weeksLocation: Toronto, ONLanguage: EnglishClearance: N/AATS ID #: 9951
Requirements: What you'll needSkills, Knowledge, Experience, and Qualifications:
Description
We are looking for an experienced Azure DevOps Engineer to join our team and manage the continuous integration and continuous deployment (CI/CD) processes for cloud-native applications running in Azure Kubernetes Service (AKS). The ideal candidate will have deep expertise in Azure cloud services, infrastructure automation, container orchestration with Kubernetes, and DevOps practices. You will play a critical role in deploying, managing, and optimizing our applications in the Azure cloud environment. Join us in transforming how government services will be experienced by businesses cross state. Key Responsibilities:
Design, build, and maintain CI/CD pipelines for automated deployment of cloud-native applications in Azure Kubernetes Service (AKS). Manage and automate infrastructure as code using Terraform or Azure Resource Manager (ARM) templates. Implement container orchestration using Kubernetes, ensuring applications are deployed, scaled, and managed efficiently within AKS. Collaborate with development teams to ensure seamless integration of DevOps practices and tools throughout the application lifecycle. Monitor application performance, troubleshoot deployment issues, and ensure high availability, scalability, and security of cloud services in Azure. Manage Helm charts and pipeline scripts for packaging Kubernetes applications and automate deployments in AKS. Set up and maintain Azure DevOps pipelines, including write customized pipeline scripts, build, release, and deployment processes. Implement best practices for container security and continuous monitoring in cloud environments. Use Azure Monitor, Azure Log Analytics, and other monitoring tools to track the health of applications and cloud infrastructure. Automate testing and security scanning processes within the CI/CD pipeline to ensure high-quality and secure code deployment. Optimize cloud resource usage to ensure cost efficiency while maintaining performance.
SkillsExperience and Skill Set RequirementsRequired Skills & Experience:
Proven experience as a DevOps Engineer with a focus on Azure and Azure Kubernetes Service (AKS). Hands-on experience with CI/CD pipelines using tools like Azure DevOps, Jenkins, or GitLab CI/CD. Expertise in Kubernetes and containerization technologies like Docker. Strong knowledge of infrastructure as code (IaC) tools like Terraform or Azure Resource Manager (ARM). Proficiency in scripting languages such as Bash, PowerShell, or Python. Experience with Helm for Kubernetes package management. Familiarity with monitoring and logging tools in Azure (e.g., Azure Monitor, Azure Application Insights, Prometheus, Grafana). Solid understanding of Azure cloud services including Azure Active Directory (AAD), Azure Virtual Networks (VNets), Azure Storage, and Azure Load Balancers. Experience in container security, network security, and Kubernetes role-based access control (RBAC). Strong knowledge of Git and version control best practices.
Preferred Qualifications:
Certifications such as Microsoft Certified: Azure DevOps Engineer Expert or Microsoft Certified: Azure Administrator Associate. Experience with Blue-Green Deployment, Canary Deployment, and other advanced deployment strategies. Familiarity with Service Mesh (e.g., Istio) in Kubernetes environments. Knowledge of Azure Key Vault for secrets management and Azure Policy for governance and compliance. Experience with serverless technologies and event-driven architectures in Azure.
Soft Skills:
Strong problem-solving skills and ability to troubleshoot complex cloud infrastructure issues. Excellent verbal and written communication skills to collaborate effectively with development teams. Ability to work in a fast-paced environment, prioritize tasks, and handle multiple tasks simultaneously. Education & Certifications: Relevant Azure certifications are highly desirable (e.g., Azure DevOps Engineer Expert, Azure Administrator Associate, Azure Kubernetes Service Developer). A passion for learning new technologies and continuously improving DevOps processes.
Must Haves:
Proven experience as a DevOps Engineer with a focus on Azure and Azure Kubernetes Service (AKS). Hands-on experience with CI/CD pipelines using tools like Azure DevOps, Jenkins, or GitLab CI/CD. Solid understanding of Azure cloud services including Azure Active Directory (AAD), Azure Virtual Networks (VNets), Azure Storage, and Azure Load Balancers.
Nice to have - Certifications such as Microsoft Certified: Azure DevOps Engineer Expert or Microsoft Certified: Azure Administrator Associate.
PREFERRED SKILLS
Azure + DevOps + CI/CD + Jenkins + GitLab + Azure Cloud + AKS
HOW TO APPLY
Apply for this position through LinkedIn.
Follow Wirehead on LinkedIn
Interested in working with us in the future?members who follow a company they’re interested in, like Wirehead, are 5x more likely to receive a message from a recruiter than those who don’t.
We thank all candidates for their interest but advise that only candidates selected for interviews will be contacted. Rest assured that your resume will be kept on our database and will be considered for all future opportunities.
Applicants must be authorized to work in Canada.
Copyright 2007 - 2025 | Wirehead Talent | All rights reserved
Role: Azure DevOps Engineer
Client: Ontario GovernmentJob Type: ContractTerm: 12 MonthsWorkplace Type: Hybrid / OnsitePay Rate: NegotiableStart date: 2-3 weeksLocation: Toronto, ONLanguage: EnglishClearance: N/AATS ID #: 9951
Requirements: What you'll needSkills, Knowledge, Experience, and Qualifications:
Description
We are looking for an experienced Azure DevOps Engineer to join our team and manage the continuous integration and continuous deployment (CI/CD) processes for cloud-native applications running in Azure Kubernetes Service (AKS). The ideal candidate will have deep expertise in Azure cloud services, infrastructure automation, container orchestration with Kubernetes, and DevOps practices. You will play a critical role in deploying, managing, and optimizing our applications in the Azure cloud environment. Join us in transforming how government services will be experienced by businesses cross state. Key Responsibilities:
Design, build, and maintain CI/CD pipelines for automated deployment of cloud-native applications in Azure Kubernetes Service (AKS). Manage and automate infrastructure as code using Terraform or Azure Resource Manager (ARM) templates. Implement container orchestration using Kubernetes, ensuring applications are deployed, scaled, and managed efficiently within AKS. Collaborate with development teams to ensure seamless integration of DevOps practices and tools throughout the application lifecycle. Monitor application performance, troubleshoot deployment issues, and ensure high availability, scalability, and security of cloud services in Azure. Manage Helm charts and pipeline scripts for packaging Kubernetes applications and automate deployments in AKS. Set up and maintain Azure DevOps pipelines, including write customized pipeline scripts, build, release, and deployment processes. Implement best practices for container security and continuous monitoring in cloud environments. Use Azure Monitor, Azure Log Analytics, and other monitoring tools to track the health of applications and cloud infrastructure. Automate testing and security scanning processes within the CI/CD pipeline to ensure high-quality and secure code deployment. Optimize cloud resource usage to ensure cost efficiency while maintaining performance.
SkillsExperience and Skill Set RequirementsRequired Skills & Experience:
Proven experience as a DevOps Engineer with a focus on Azure and Azure Kubernetes Service (AKS). Hands-on experience with CI/CD pipelines using tools like Azure DevOps, Jenkins, or GitLab CI/CD. Expertise in Kubernetes and containerization technologies like Docker. Strong knowledge of infrastructure as code (IaC) tools like Terraform or Azure Resource Manager (ARM). Proficiency in scripting languages such as Bash, PowerShell, or Python. Experience with Helm for Kubernetes package management. Familiarity with monitoring and logging tools in Azure (e.g., Azure Monitor, Azure Application Insights, Prometheus, Grafana). Solid understanding of Azure cloud services including Azure Active Directory (AAD), Azure Virtual Networks (VNets), Azure Storage, and Azure Load Balancers. Experience in container security, network security, and Kubernetes role-based access control (RBAC). Strong knowledge of Git and version control best practices.
Preferred Qualifications:
Certifications such as Microsoft Certified: Azure DevOps Engineer Expert or Microsoft Certified: Azure Administrator Associate. Experience with Blue-Green Deployment, Canary Deployment, and other advanced deployment strategies. Familiarity with Service Mesh (e.g., Istio) in Kubernetes environments. Knowledge of Azure Key Vault for secrets management and Azure Policy for governance and compliance. Experience with serverless technologies and event-driven architectures in Azure.
Soft Skills:
Strong problem-solving skills and ability to troubleshoot complex cloud infrastructure issues. Excellent verbal and written communication skills to collaborate effectively with development teams. Ability to work in a fast-paced environment, prioritize tasks, and handle multiple tasks simultaneously. Education & Certifications: Relevant Azure certifications are highly desirable (e.g., Azure DevOps Engineer Expert, Azure Administrator Associate, Azure Kubernetes Service Developer). A passion for learning new technologies and continuously improving DevOps processes.
Must Haves:
Proven experience as a DevOps Engineer with a focus on Azure and Azure Kubernetes Service (AKS). Hands-on experience with CI/CD pipelines using tools like Azure DevOps, Jenkins, or GitLab CI/CD. Solid understanding of Azure cloud services including Azure Active Directory (AAD), Azure Virtual Networks (VNets), Azure Storage, and Azure Load Balancers.
Nice to have - Certifications such as Microsoft Certified: Azure DevOps Engineer Expert or Microsoft Certified: Azure Administrator Associate.
PREFERRED SKILLS
Azure + DevOps + CI/CD + Jenkins + GitLab + Azure Cloud + AKS
HOW TO APPLY
Apply for this position through LinkedIn.
Follow Wirehead on LinkedIn
Interested in working with us in the future?members who follow a company they’re interested in, like Wirehead, are 5x more likely to receive a message from a recruiter than those who don’t.
We thank all candidates for their interest but advise that only candidates selected for interviews will be contacted. Rest assured that your resume will be kept on our database and will be considered for all future opportunities.
Applicants must be authorized to work in Canada.
Copyright 2007 - 2025 | Wirehead Talent | All rights reserved
Role: Data Science Developer
Client: Government, Broader Public Sector Job Type: Contract Term: 12 Months Workplace Type: Hybrid / Onsite Pay Rate: Negotiable Start date: 2-3 weeks Location: Toronto, ON Language: English Clearance: N/A ATS ID #: 9863
Requirements: What you'll need Skills, Knowledge, Experience, and Qualifications:
Experience:
2-5 years of professional experience in data science, data analytics, or a related quantitative field (e.g., data engineering, machine learning, or business intelligence) or equivalent. Proven experience in data analysis, visualization, and statistical modeling for real-world business or research problems. Demonstrated ability to clean, transform, and manage large datasets using Python, R, or SQL. Hands-on experience building and deploying predictive models or machine learning solutions in production or business environments. Experience with data storytelling and communicating analytical insights to non-technical stakeholders. Exposure to cloud environments (AWS, Azure, or GCP) and version control tools (e.g., Git). Experience working in collaborative, cross-functional teams, ideally within Agile or iterative project structures. Knowledge of ETL pipelines, APIs, or automated data workflows is an asset. Previous work with dashboarding tools (Power BI, Tableau, or Looker) is preferred.
Technical Skills:
Programming & Data Handling Python (pandas, NumPy, scikit-learn, statsmodels, matplotlib, seaborn) SQL (complex queries, joins, aggregations, optimization) Data preprocessing (feature engineering, missing data handling, outlier detection) Machine Learning & Statistical Modeling Proficiency in supervised and unsupervised learning techniques (regression, classification, clustering, dimensionality reduction) Understanding of model evaluation metrics and validation techniques (cross-validation, A/B testing, ROC-AUC, confusion matrix) Basic understanding of deep learning frameworks (TensorFlow, PyTorch, or Keras) is a plus Data Visualization & Reporting Expertise with visualization libraries (matplotlib, seaborn, plotly, or equivalent) Experience building interactive dashboards (Tableau, Power BI, Dash, or Streamlit) Ability to design clear, impactful data narratives and reports Data Infrastructure & Tools Experience with cloud-based data services (e.g., AWS S3, Redshift, Azure Data Lake, GCP BigQuery) Experience working with big data frameworks such as Apache Spark and Hadoop for large-scale data processing. Familiarity with data pipeline and workflow tools Experience with API integration and data automation scripts (Selenium, Python, etc) Solid grounding in probability, statistics, and linear algebra Understanding of hypothesis testing, confidence intervals, and sampling methods
Soft Skills:
Strong communication skills; both written and verbal Ability to develop and present new ideas and conceptualize new approaches and solutions Excellent interpersonal relations and demonstrated ability to work with others effectively in teams Demonstrated ability to work with functional and technical teams Demonstrated ability to participate in a large team and work closely with other individual team members Proven analytical skills and systematic problem solving Strong ability to work under pressure, work with aggressive timelines, and be adaptive to change Displays problem-solving and analytical skills, using them to resolve technical problems Must Have:
2-5 years of professional experience in data science, data analytics, or a related quantitative field (e.g., data engineering, machine learning, or business intelligence) or equivalent. Proven experience in data analysis, visualization, and statistical modeling for real-world business or research problems. Demonstrated ability to clean, transform, and manage large datasets using Python, R, or SQL. Programming & Data Handling Python (pandas, NumPy, scikit-learn, statsmodels, matplotlib, seaborn) SQL (complex queries, joins, aggregations, optimization) Data preprocessing (feature engineering, missing data handling, outlier detection) Experience working with big data frameworks such as Apache Spark and Hadoop for large-scale data processing.
PREFERRED SKILLS
Data Science + Data Analysis + Python + SQL + Apache Spark or Hadoop + Selenium + Azure or GCP
HOW TO APPLY
Patrick Marsan is hiring for this position. Apply through LinkedIn.
Follow Wirehead on LinkedIn
Interested in working with us in the future? members who follow a company they're interested in, like Wirehead, are 5x more likely to receive a message from a recruiter than those who don't.
We thank all candidates for their interest but advise that only candidates selected for interviews will be contacted. Rest assured that your resume will be kept on our database and will be considered for all future opportunities.
Applicants must be authorized to work in Canada.
Copyright 2007 - 2025 Wirehead Talent All rights reserved
Role: Azure DevOps Engineer
Client: Ontario Government Job Type: Contract Term: 12 Months Workplace Type: Hybrid / Onsite Pay Rate: Negotiable Start date: 2-3 weeks Location: Toronto, ON Language: English Clearance: N/A ATS ID #: 9951
Requirements: What you'll need Skills, Knowledge, Experience, and Qualifications:
Description
We are looking for an experienced Azure DevOps Engineer to join our team and manage the continuous integration and continuous deployment (CI/CD) processes for cloud-native applications running in Azure Kubernetes Service (AKS). The ideal candidate will have deep expertise in Azure cloud services, infrastructure automation, container orchestration with Kubernetes, and DevOps practices. You will play a critical role in deploying, managing, and optimizing our applications in the Azure cloud environment. Join us in transforming how government services will be experienced by businesses cross state. Key Responsibilities:
Design, build, and maintain CI/CD pipelines for automated deployment of cloud-native applications in Azure Kubernetes Service (AKS). Manage and automate infrastructure as code using Terraform or Azure Resource Manager (ARM) templates. Implement container orchestration using Kubernetes, ensuring applications are deployed, scaled, and managed efficiently within AKS. Collaborate with development teams to ensure seamless integration of DevOps practices and tools throughout the application lifecycle. Monitor application performance, troubleshoot deployment issues, and ensure high availability, scalability, and security of cloud services in Azure. Manage Helm charts and pipeline scripts for packaging Kubernetes applications and automate deployments in AKS. Set up and maintain Azure DevOps pipelines, including write customized pipeline scripts, build, release, and deployment processes. Implement best practices for container security and continuous monitoring in cloud environments. Use Azure Monitor, Azure Log Analytics, and other monitoring tools to track the health of applications and cloud infrastructure. Automate testing and security scanning processes within the CI/CD pipeline to ensure high-quality and secure code deployment. Optimize cloud resource usage to ensure cost efficiency while maintaining performance.
Skills Experience and Skill Set Requirements Required Skills & Experience:
Proven experience as a DevOps Engineer with a focus on Azure and Azure Kubernetes Service (AKS). Hands-on experience with CI/CD pipelines using tools like Azure DevOps, Jenkins, or GitLab CI/CD. Expertise in Kubernetes and containerization technologies like Docker. Strong knowledge of infrastructure as code (IaC) tools like Terraform or Azure Resource Manager (ARM). Proficiency in scripting languages such as Bash, PowerShell, or Python. Experience with Helm for Kubernetes package management. Familiarity with monitoring and logging tools in Azure (e.g., Azure Monitor, Azure Application Insights, Prometheus, Grafana). Solid understanding of Azure cloud services including Azure Active Directory (AAD), Azure Virtual Networks (VNets), Azure Storage, and Azure Load Balancers. Experience in container security, network security, and Kubernetes role-based access control (RBAC). Strong knowledge of Git and version control best practices.
Preferred Qualifications:
Certifications such as Microsoft Certified: Azure DevOps Engineer Expert or Microsoft Certified: Azure Administrator Associate. Experience with Blue-Green Deployment, Canary Deployment, and other advanced deployment strategies. Familiarity with Service Mesh (e.g., Istio) in Kubernetes environments. Knowledge of Azure Key Vault for secrets management and Azure Policy for governance and compliance. Experience with serverless technologies and event-driven architectures in Azure.
Soft Skills:
Strong problem-solving skills and ability to troubleshoot complex cloud infrastructure issues. Excellent verbal and written communication skills to collaborate effectively with development teams. Ability to work in a fast-paced environment, prioritize tasks, and handle multiple tasks simultaneously. Education & Certifications: Relevant Azure certifications are highly desirable (e.g., Azure DevOps Engineer Expert, Azure Administrator Associate, Azure Kubernetes Service Developer). A passion for learning new technologies and continuously improving DevOps processes.
Must Haves:
Proven experience as a DevOps Engineer with a focus on Azure and Azure Kubernetes Service (AKS). Hands-on experience with CI/CD pipelines using tools like Azure DevOps, Jenkins, or GitLab CI/CD. Solid understanding of Azure cloud services including Azure Active Directory (AAD), Azure Virtual Networks (VNets), Azure Storage, and Azure Load Balancers.
Nice to have - Certifications such as Microsoft Certified: Azure DevOps Engineer Expert or Microsoft Certified: Azure Administrator Associate.
PREFERRED SKILLS
Azure + DevOps + CI/CD + Jenkins + GitLab + Azure Cloud + AKS
HOW TO APPLY
Apply for this position through LinkedIn.
Follow Wirehead on LinkedIn
Interested in working with us in the future? members who follow a company they're interested in, like Wirehead, are 5x more likely to receive a message from a recruiter than those who don't.
We thank all candidates for their interest but advise that only candidates selected for interviews will be contacted. Rest assured that your resume will be kept on our database and will be considered for all future opportunities.
Applicants must be authorized to work in Canada.
Copyright 2007 - 2025 Wirehead Talent All rights reserved
Role: Senior Business Analyst
Client: Ontario Government Job Type: Contract Term: 286 days + extensions Workplace Type: Hybrid / Onsite Pay Rate: $85-100 Start date: 2-3 weeks Location: Toronto, ON Language: English Clearance: N/A ATS ID #: 9944
Requirements: What you'll need Skills, Knowledge, Experience, and Qualifications:
10+ years of extensive experience in the following: Business Analyst Experience:
Understanding of systems environments, business analysis and change management in projects or programs related to integrated multi-ministries' government services. Knowledge and experience in preparing detailed analysis and recommendations to ensure compliance with appropriate public sector, industry and international standards on security, privacy, and accessibility (must have) Ability to assist with the security issues that could impact developed front-end and integrated systems. Develops informative, coherent, and usable project documents (project artifacts) for multiple stakeholders covering functional and non-functional business requirements. Experience with architectural framework system, specifically Zachman Framework(nice to have) Disaster Recovery Planning (nice to have) IT service value stream mapping Ability to work with business and development teams to document system requirements. Experience with a wide range of methods, tools, and techniques for business analysis such as, but not limited to business functional modelling, business event modelling, business process mapping. Demonstrated experience with creating Business Cases, Screen Design/User Interface, Business Process Models, Privacy Impact Assessment and Threat Risk Assessments Technical Experience:
Knowledge of theory and principles of systems design and development, programming concepts and languages, and related methods, techniques, practices, and standards In-depth knowledge of WCAG 2.0 Standards and AODA Compliancy levels Knowledge and experience creating Wireframes, Use Cases, User Stories (must have) Exposure to working with diverse business environments and enterprise-wide system. Knowledge of Large Language Model and Generative AI application Demonstrated Experience with Joint Application development (JAD), Unified Modelling language (UML), and Computer Aided Software Engineering (CASE) tools. Knowledge and Experience of DevOps. Knowledge of Big Data platform and application. Project Experience:
Minimum 5 years experience in creating enterprise architecture documentation; expert level in architectural deliverables, including the following must haves below: Checkpoint/Gating Matrix Logical and Physical Documentation Logical and Physical Deployment Models Business Architecture Approach Sequence Diagram Data Flow Diagram Cross Functional Team Process Flow Diagram Architectural documents for ACT and ARB approvals Exercises judgment to identify, diagnose, and solve problems within given rules. OPS project experience Agile project experience, and sources management. Communication Skills:
Demonstrated experience in solving problems analytically and making sound decisions. Experience in negotiating using both verbal and written communication skills and should have worked in a team-based environment with a proven record of meeting deadlines.
PREFERRED SKILLS
Disaster Recovery Planning DR / DRP + DevOps + Documentation + LLM / Ai
HOW TO APPLY
Patrick Marsan is hiring for this position.
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We thank all candidates for their interest but advise that only candidates selected for interviews will be contacted. Rest assured that your resume will be kept on our database and will be considered for all future opportunities.
Applicants must be authorized to work in Canada.
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This range is provided by Wirehead. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range CA$60.00/hr - CA$60.00/hr Direct message the job poster from Wirehead Managing Director, Talent Acquisition | Senior Talent Partner Role: Senior QA Tester Client: Government, Broader Public Sector Job Type: Contract Term: 6 Months Workplace Type: Hybrid / Onsite Pay Rate: $60.00 Location: Downtown Toronto, ON Clearance: N/A ATS ID #: 9847 Requirements: What you'll need Manual Testing Expertise 5+ years of experience in manual testing across various testing types (functional, non-functional, UAT). Strong knowledge of Software Testing Life Cycle (STLC) and Systems Development Life Cycle (SDLC). Public Sector Compliance Proven experience in AODA compliance testing and WCAG 2.1 standards. Familiarity with ITIL processes and public sector testing requirements. Experience using tools like Jira to track and manage defects. Ability to conduct root cause analysis and verify bug resolutions. Skills Strong knowledge of testing methodologies, including risk-based and exploratory testing. Ability to create detailed test plans, test cases, and reports. Proficiency with collaboration tools (e.g., Microsoft Teams, Confluence). Excellent communication and problem-solving skills to work effectively with stakeholders. Experience working in Agile/Scrum environments. Familiarity with database testing and writing SQL queries for data validation. Knowledge of performance and load testing techniques. Must Have Experience with Manual Testing. 5+ years of experience in manual testing across various testing types (functional, non-functional, UAT). Experience using tools like Jira to track and manage defects. HOW TO APPLY Patrick Marsan is hiring for this position. Follow Wirehead on LinkedIn Interested in working with us in the future? members who follow a company they’re interested in, like Wirehead, are 5x more likely to receive a message from a recruiter than those who don’t. We thank all candidates for their interest but advise that only candidates selected for interviews will be contacted. Rest assured that your resume will be kept on our database and will be considered for all future opportunities. Applicants must be authorized to work in Canada. Seniority level Mid-Senior level Employment type Contract Job function Quality Assurance and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Wirehead by 2x Sign in to set job alerts for “Quality Assurance Tester” roles. We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
