An International Staffing &
Professional Services Company
in Vancouver, British Columbia

Insight Global is seeking a dynamic Data Engineer (ML) to join the Data Platform team at a large retail client. This team oversees the technical foundation of the organization?s enterprise data platform, enabling teams to build scalable data products and integrate ML/AI into their workflows.As a Data Engineer with a focus on ML Ops and platform, you will be responsible for the development, support, configuration, and automation of the data tools, infrastructure, and workflows that support the ML Ops strategy. You will work closely with data engineers, analysts, and architects to establish and scale enterprise ML platform capabilities.ResponsibilitiesPlatform Ownership ? Databricks & ML EcosystemOwn and support the Databricks platform, with a focus on administration, optimization, and operational supportPartner with engineering teams to support workloads, troubleshoot platform issues, and improve usage patternsSupport a Unity Catalog migration, helping drive governance and standardization across the platformMonitor and support ML platform operations and workflows to ensure consistency and reliabilityML Ops Development & StandardizationProvide technical leadership in the design, expansion, and optimization of ML Ops capabilitiesDesign enterprise standards for infrastructure, process automation, and observability across the ML lifecycleBuild and mature ML pipelines using MLflow, focusing on improving current-state processes and consolidationSimplify and unify ML workflows across the enterprise into a scalable, standardized frameworkSupport the full ML lifecycle: model development, training, deployment, and productionizationCloud, Infrastructure & OperationsLead Azure cloud infrastructure administration and automation, leveraging Infrastructure as Code (IaC)Provision and automate network configurations, access controls, services, and applicationsEnsure cloud environments meet expectations for reliability, availability, performance, and securityDefine and implement monitoring, alerting, and observability frameworksOversee and participate in production deployments and CI/CD improvementsOperations & Cross-Functional CollaborationCoordinate recovery from incidents using well-defined operational procedures and communication frameworksManage outages, escalations, and production incidents across ML and platform systemsInterface with global vendors and internal stakeholdersActively recommend and implement improvements to the continuous delivery toolsetProvide guidance and mentorship to junior engineersWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global’s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Insight Global is searching for a senior QA Engineer focused on driving high quality digital product delivery. The position leads testing strategy, automation quality, and cross team collaboration to support scalable, reliable consumer facing features. Responsibilities include planning test schedules, defining testing standards, and guiding Quality Engineers to ensure strong release quality. The role partners closely with engineering, product, and design teams to build effective automated tests, troubleshoot issues, and deliver seamless customer experiences. As a QA Engineer, you will be joining the Retail Engineering and Delivery team who is responsible for engineering and deploying solutions across a vast network of retail stores.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global’s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Insight Global is seeking a Data Quality Engineer to support a large retail client based in Vancouver BC 4 days a week onsite. They will, educate, enable and enforce data quality standards and best practices across the org. The intermediate-level Quality Engineer is expected to have 4-7 years of experience. They will join the Enterprise Data Quality Engineering team which helps advance data quality maturity across the organization. rincipal Duties and Responsibilities: Enable teams through onboarding and training teams on the data quality tools/solutions. Monitor and troubleshoot data quality anomalies. Support development and maintenance of relevant documentation. Participate in knowledge transfer activities, issues, and risks. Define & continuously evolve data quality standards and best practices. Implement comprehensive data validation and testing strategies including schema validation, data quality checks, and reconciliation tests. Drive adoption of data quality monitoring and observability by onboarding teams across the org onto the data quality tool/solution. Ensure consistent automated data quality monitoring coverage across the critical data domains. Debug complex data issues across distributed data systems using logs, data profiling tools, and lineage tracking to identify root causes. Optimize performance of queries, data pipelines, and storage through testing, profiling data processing, and implementing improvements within architectural constraints. Collaborate with cross-functional teams on data quality requirements, technical feasibility, effort estimation, and scope definitionWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global’s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.