Employment TypePermanentClosing Date8 Sept 2026 11:59pmJob TitleTechnical ExpertJob SummaryThis is a technically focused role responsible for designing and building scalable platform and integration solutions that support both strategic and operational priorities. You will own the full lifecycle from source system ingestion and transformation through to delivery of high-quality analytical outputs and reusable technical assets that enable informed decision making across the business.Working across Azure platforms and leveraging your expertise in data, automation, and service management, you will build and maintain technical solutions, implement quality and governance controls, and develop reusable assets. The role also carries a strong advisory element you will represent the team in architecture reviews, governance forums, and change advisory processes, provide technical guidance across delivery and business teams, and ensure our technical foundations remain robust, scalable, and fit for purpose.Modelling & DesignWork with stakeholders to understand what information is needed, where it comes from, and how it should flowProfile and assess source systems and outputs to understand quality, gaps, and usabilityDesign logical and physical models that support reporting, analytics, and downstream consumptionDefine how information flows end to end from source systems through transformation layers to final outputsMaintain clear documentation of lineage, mappings, and transformation logicEngineering & AutomationBuild and maintain pipelines using tools like Azure Data Factory, Databricks, or similar Azure technologiesImplement quality checks, validation, and alerting rules to ensure outputs are accurate and reliableAutomate repetitive processing tasks to reduce manual effort and improve efficiencyWork with platform and engineering teams to integrate inputs from multiple sources including APIs, databases, and flat filesContinuously improve how information is ingested, processed, and deliveredAnalytics & Technical ProductsOwn the build of gold-layer analytical outputs and reusable technical products for business and AI modelsDesign and deliver reusable components that teams across the business can leverageWork with AI and engineering teams to integrate outputs from models into production environmentsDefine and track KPIs and success metrics aligned to business outcomesUse insights to identify trends, flag risks, and highlight opportunitiesTechnical Advisory & GovernanceRepresent the team in architecture reviews, design forums, and governance boardsProvide technical guidance to business and delivery teams on platform and integration decisionsWork with partner and vendor teams to ensure requirements and integration points are clearly defined and deliveredProactively flag risks, blockers, and opportunities to keep delivery on trackImplement and maintain security controls including role-based access (RBAC) and masking aligned to regulatory requirementsJob DescriptionFocus of the RoleThis is a technically focused role responsible for designing and building scalable platform and integration solutions that support both strategic and operational priorities. You will own the full lifecycle from source system ingestion and transformation through to delivery of high-quality analytical outputs and reusable technical assets that enable informed decision making across the business.Working across Azure platforms and leveraging your expertise in data, automation, and service management, you will build and maintain technical solutions, implement quality and governance controls, and develop reusable assets. The role also carries a strong advisory element you will represent the team in architecture reviews, governance forums, and change advisory processes, provide technical guidance across delivery and business teams, and ensure our technical foundations remain robust, scalable, and fit for purpose.Key Responsibilities:Modelling & DesignWork with stakeholders to understand what information is needed, where it comes from, and how it should flowProfile and assess source systems and outputs to understand quality, gaps, and usabilityDesign logical and physical models that support reporting, analytics, and downstream consumptionDefine how information flows end to end from source systems through transformation layers to final outputsMaintain clear documentation of lineage, mappings, and transformation logicEngineering & AutomationBuild and maintain pipelines using tools like Azure Data Factory, Databricks, or similar Azure technologiesImplement quality checks, validation, and alerting rules to ensure outputs are accurate and reliableAutomate repetitive processing tasks to reduce manual effort and improve efficiencyWork with platform and engineering teams to integrate inputs from multiple sources including APIs, databases, and flat filesContinuously improve how information is ingested, processed, and deliveredAnalytics & Technical ProductsOwn the build of gold-layer analytical outputs and reusable technical products for business and AI modelsDesign and deliver reusable components that teams across the business can leverageWork with AI and engineering teams to integrate outputs from models into production environmentsDefine and track KPIs and success metrics aligned to business outcomesUse insights to identify trends, flag risks, and highlight opportunitiesTechnical Advisory & GovernanceRepresent the team in architecture reviews, design forums, and governance boardsProvide technical guidance to business and delivery teams on platform and integration decisionsWork with partner and vendor teams to ensure requirements and integration points are clearly defined and deliveredProactively flag risks, blockers, and opportunities to keep delivery on trackImplement and maintain security controls including role-based access (RBAC) and masking aligned to regulatory requirementsAbout You:Must-HaveExperience in engineering, analytics, or a similar technical roleStrong experience in modelling, profiling, and designing end-to-end pipelines and transformationsAdvanced SQL and PySpark skills for complex queries, optimisation, and large-scale processingProficiency in Python for processing, automation, and scriptingExperience building and managing pipelines using Azure platforms (ADF, Synapse, Databricks, ADLS)Working knowledge of ETL/ELT patterns, warehousing concepts, and governance principlesFamiliarity with API integrations and multiple source systemsStrong problem-solving skills with a technical mindsetGood written and verbal communication skillsExperience with DevOps practices (CI/CD pipelines, version control for assets)Nice-to-HaveExposure to machine learning workflows and MLOpsExposure to Microsoft FabricKnowledge of Power BIFamiliarity with governance frameworks and metadata management toolsKnowledge of Agile delivery methodologiesExperience with tools like JIRA, Confluence, or similarExperience with real-time ingestion and stream processingFamiliarity with Lakehouse architecture patterns and Delta LakeOnce you’ve submitted your application, the next step is to complete a video assessment administered by our partner, HireVue. This assessment is required before your application can proceed. Please keep an eye on your email inbox—including your spam or junk folder—as instructions from HireVue will be sent immediately after submission. Be sure to complete the assessment promptly to avoid delays in your application process. We work flexibly at Telstra. Talk to us about what flexibility means to you. When you apply, you can share your pronouns and / or any reasonable adjustments needed to take part equitably during the recruitment process. We are aware of current limitations with our website accessibility and are working towards improving this. Should you experience any issues accessing information or the application form, and require this in an alternate format, please contact our Talent Acquisition team on DisabilityandAccessibility@team.telstra.com or via the additional contact options found at www.telstra.com.au/careers/diversity-equity-and-inclusion/disability-employment.