Build the Data Foundations That Drive Better DecisionsWe're seeking a Data Engineer to join our growing data team and help deliver up-to-date, scalable and secure enterprise data solutions.
You'll play a key role in building and supporting our Microsoft Fabric environment, enabling reliable reporting, analytics and data-driven decision-making across the organisation.Working alongside senior engineers, architects, analysts and business stakeholders, you'll design and develop data pipelines, data models and reporting solutions that transform complex data into meaningful business insights.About the RoleAs a Data Engineer, you'll be responsible for building, integrating and supporting enterprise data and analytics solutions using Microsoft Fabric and Power BI.
You'll work across data ingestion, transformation, modelling and reporting while ensuring solutions are secure, governed and scalable.Key responsibilities include:Design, build and support data solutions using Microsoft Fabric, including OneLake, Lakehouse, Warehouse, Data Factory, Dataflows Gen2 and Semantic ModelsDevelop and maintain batch and near real-time data pipelines from enterprise applications, APIs, databases, SaaS platforms and cloud storageCreate data transformations using SQL, Python and PySparkImplement Medallion Architecture across Bronze, Silver and Gold data layersSupport the development and optimisation of Power BI datasets, dashboards and reporting solutionsMonitor and improve data quality, performance, reliability and securityMaintain data lineage, documentation, mappings, runbooks and technical standardsAssist with data platform modernisation, migration and continuous improvement initiativesProvide operational support,



troubleshooting and root cause analysis for data platform issuesCollaborate with business stakeholders to translate requirements into practical data solutionsAbout YouWe're looking for a technically capable Data Engineer who enjoys solving data challenges and collaborating with stakeholders to deliver meaningful outcomes.Essential ExperienceExperience working with Microsoft Fabric and modern cloud-based data platformsStrong skills in SQL and data modellingExperience building and supporting data pipelines and integration solutionsKnowledge of Lakehouse, data warehousing and analytics conceptsExperience using Python and/or PySpark for data transformation and automationExposure to Power BI, semantic models, DAX and reporting solutionsUnderstanding of data governance, security, access controls and compliance requirementsStrong analytical, troubleshooting and problem-solving skillsAbility to manage multiple priorities and work effectively within project and operational environmentsHighly RegardedExperience with Microsoft SQL Server, Azure SQL and Azure Data FactoryExposure to enterprise data platform projects or cloud transformation initiativesMicrosoft Data, Azure or Fabric certificationsKnowledge of database performance tuning, monitoring and optimisationExperience with automation and Infrastructure-as-Code practicesWhat You'll BringStrong communication and stakeholder engagement skillsA collaborative approach and willingness to learnAttention to detail and commitment to qualityStrong documentation and organisational skillsPassion for data, analytics and continuous improvementWhy Join Us?
Work with leading Microsoft Fabric and cloud technologiesBe part of a modern data and analytics transformation journeyHybrid and flexible work arrangementsSupportive and collaborative team environmentOpportunities to grow your technical expertise and careerWork on impactful projects that directly influence business outcomesIf you're passionate about data engineering and want to help build a modern, scalable data platform that supports analytics, reporting and future AI capabilities, we'd love to hear from you.Apply today and help shape the future of data and insights.
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📌 Hybrid Data Engineer — Fabric, Pipelines & Power Bi (Sydney)
🏢 Apm
📍 Sydney