Get AI-powered advice on this job and more exclusive features.Halo Labs is a future focused, end-to-end data solutions firm - transforming tomorrow, today.
Our intelligent and secure technology systems and data driven solutions drive meaningful outcomes and unlock lasting value.Why work at Halo Labs?
Leading Innovation: We don't just solve problems; we illuminate a never-ending stream of innovation.Exceptional Perks: Enjoy outstanding perks like a dedicated learning budget, performance bonuses, and comprehensive wellbeing support.Remote-First Organisation: Experience the perks of work from home while having the flexibility to travel to client locations throughout Australia.Inclusive and Engaging: Celebrate diversity in a welcoming space that thrives on new ideas and open conversations, all in a respectful environment.Inspiring Origins: With a compelling founder story, we are a customer-focused, culture-first organisation.About the Role:Framework Development: Design, develop, and enhance in-house PySpark frameworks to ensure standardised implementations and promote reusability across projects.Mentorship: Provide technical guidance and mentorship to junior team members, fostering skill development within the analytics community.Stakeholder Collaboration: Collaborate with internal and external stakeholders to deliver high-quality, data-driven solutions that meet business needs.Data Analysis & Engineering: Conduct exploratory data analysis and design end-to-end data engineering solutions, including ETL/ELT pipelines using Azure Data Framework,Databricks, and other Azure services.Pipeline Implementation: Build, test, and deploy scalable data pipelines using Python, PySpark, and Azure services, ensuring adherence to best practices for automated testing, documentation, and CI/CD via Azure DevOps (Git, Azure Pipelines).
Platform Monitoring: Monitor and support batch operations for the Data and Insights Platform, ensuring reliability and performance.About You:Cloud Expertise: Hands-on experience with Azure Cloud Services, includingDatabricks,



Azure Data Factory, Azure SQL Server, and Azure Storage.Databricks Proficiency: Strong experience withDatabricksfor big data processing.Leveraging Databricks notebooks for collaborative data engineering and analytics.Utilising Databricks clusters for scalable and efficient data processing.Data Engineering Tools: Proficiency in SQL, Python, and PySpark for data processing and pipeline development.Data & Analytics Concepts: Strong understanding of data warehousing, data lakes, ETL/ELT processes, and visualisation/reporting tools (Power BI, Tableau) to drive business value.Data Architecture: Deep knowledge of data architecture, data modelling, data marts, and metadata management best practices.Modern Data Platforms: Minimum 3 years of experience working with modern data platforms (AWS, Azure) and data engineering, with a focus on Agile delivery methodologies.DevOps Practices: Expertise in Azure DevOps, including Git for version control and Azure Pipelines for CI/CD.Education: Degree in Computer Science, Data Science, IT, or a related fieldWhile Queensland-based candidates are preferred, outstanding applicants from other locations will also be considered.You're interested in this exciting opportunity and feel you're the right fit please click "apply"Seniority levelSeniority levelMid-Senior levelEmployment typeEmployment typeFull-timeJob functionJob functionInformation TechnologyIndustriesBusiness Consulting and ServicesReferrals increase your chances of interviewing at Halo Labs by 2xSign in to set job alerts for "Data Engineer" roles.Herston, Queensland, Australia 1 week agoBrisbane, Queensland,



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📌 Data Engineer (Adelaide)
🏢 Halo Labs
📍 Adelaide