Senior Data Engineer

Senior Data Engineer – Connected Technology Group (CTG) The Connected Technology Group (CTG) defines and drives the digital, data and technology strategy for KPMG. We have an important advocacy role for technology in the market and across KPMG, working with our technology leaders to build our market presence. We cultivate collaboration and integrate tech execution across our business, driving a firm‑wide approach to how we go‑to‑market and build the capability of our people and attract new talent. About the Role The role of Senior Data Engineer in the CTG Data & Analytics platforms team at KPMG Australia involves designing, building, and optimising modern data platforms, with a focus on Microsoft Fabric. This position plays a critical role in developing enterprise data platform ingestion frameworks and patterns to support advanced analytics and business intelligence. Responsibilities include ensuring scalability, security, and performance for various business unit use cases, as well as contributing to the creation of centralised data agents and API end points for data objects in MS Fabric to drive the firm's data strategy. Key Responsibilities Build and optimise data ingestion pipelines for structured, semi‑structured, and unstructured data. Design and implement scalable data solutions using tools such as MS Fabric/Databricks, OneLake, Delta Lakehouse, Data Factory, PySpark, and Power BI. Develop and implement robust data validation and cleansing processes. Implement role‑based access control (RBAC), encryption, and compliance with enterprise security standards; audit and monitor access logs. Apply enterprise‑wide governance policies, including data classification, ownership, and stewardship; use tools like Microsoft Purview to manage and govern data assets. Provide automated lineage tracking to ensure transparency and traceability of data flows. Partner with business stakeholders, data analysts, reporting teams, and data scientists to deliver trusted datasets. Lead performance tuning and cost optimisation for Microsoft Fabric environments; design scalable architectures for growing data volumes and complex analytics use cases. Drive the adoption of modern DevOps, CI/CD, and automation practices within data engineering workflows. Mentor junior engineers and contribute to the data engineering community of practice. Key Requirements 10+ years of experience in data engineering, cloud data platforms, and analytics solutions. Hands‑on expertise with Microsoft Fabric or Databricks, including OneLake, Lakehouse, Data Factory, Synapse, and Power BI integration. Strong proficiency in SQL, PySpark, and data modelling (dimensional, lakehouse, and semantic models). Experience implementing data governance, cataloging, and lineage frameworks. Familiarity with metadata‑driven frameworks and automation patterns. Solid understanding of ETL/ELT, streaming, batch data pipelines, and API‑based ingestion. Strong grasp of data security, compliance, and access management. Exposure to the Azure ecosystem (Azure Data Lake, Databricks, Purview, Azure DevOps) is highly desirable. Excellent problem‑solving, communication, and stakeholder management skills. Prior experience in large‑scale enterprise data transformation programs. Experience working in Agile delivery models. Microsoft certifications (e.g., Fabric Analytics Engineer Associate, Azure Data Engineer Associate) are preferred. How You Are Extraordinary Enjoy working in the details, with a positive and proactive attitude toward accuracy and deadlines. Get things done – organized, efficient, and highly attentive to detail to deliver impactful outcomes. Communicate complex concepts effectively, both in writing and verbally, to inspire and create change. Additional Information KPMG is a professional services firm with global outreach and deep sector experience. We work with clients across an array of industries to solve complex challenges, steer change, and enable growth. Our people are what make KPMG the thriving workplace that it is. We offer flexible hours and locations, generous paid parental leave and career breaks, retail discounts, health and wellbeing initiatives, learning and growth opportunities, salary packaging options, and more. Diverse candidates have diverse needs. During your recruitment journey, information will be provided about adjustment requests. If you require additional support before submitting your application, please contact the Talent Attraction Support Team. At KPMG every career is different, and we look forward to seeing how you grow with us. #J-18808-Ljbffr