The Opportunity Join a market-leading financial services organisation undergoing a major Data & AI transformation. As a Data Engineer, you'll play a key role in building and enhancing a modern Microsoft Fabric and Azure data platform that supports enterprise analytics, AI, and business decision-making. Key Responsibilities Design and develop scalable data pipelines using Microsoft Fabric and Azure. Build and maintain Lakehouse and Data Warehouse solutions. Develop ELT/ETL processes using Fabric Data Factory, Spark, SQL, and Python. Ensure data quality, governance, security, and performance across the platform. Partner with Data Scientists, Analysts, Product Owners, and business stakeholders to deliver data products. Support AI, Machine Learning, and Generative AI use cases through trusted and accessible data assets. Implement CI/CD and DevOps practices to improve deployment and platform reliability. Skills & Experience 5 years' experience in Data Engineering within enterprise environments. Strong experience with Microsoft Fabric and Azure Data Services. Strong experience with ADLS2, ADF, Azure Devops. Advanced SQL and Python skills. Experience building modern cloud-based data platforms, data lakes, and warehouses. Knowledge of data modelling, governance, and engineering best practices. Nice to have Experience in Financial Services environments is highly regarded. Exposure to AI, Machine Learning, or Generative AI initiatives is advantageous (Agentic AI, Github Copilot) What's on Offer Strong daily rate contract Opportunity to work on a large-scale Microsoft Fabric transformation. Exposure to cutting-edge Data, AI, and Generative AI projects. Collaborative, high-performing technology team. Competitive salary, bonus, and flexible working arrangements. Ideal for a Data Engineer looking to work with the latest Microsoft technologies while helping shape the future of Data & AI within a leading financial services business. This is a quick turnaround with several new contract opportunities in the pipeline. Interviews can happen this week! To apply please hit the link, my contact details are 0452 533 893 darragh@maptalent.com.au
