The Analytics Engineer will play a pivotal role in transforming data into actionable insights, ensuring the organisation's data infrastructure is robust and efficient. This position is ideal for a skilled professional passionate about analytics and data engineering within the not-for-profit sector. Client Details This organisation is a respected not-for-profit operating within a critical industry, dedicated to improving standards and practices across various sectors. As a medium-sized entity, they offer a collaborative environment with a focus on delivering meaningful outcomes for the community. Description Are you passionate about transforming raw data into powerful insights? Join a purpose-driven organisation at the heart of national innovation, where your work will directly support strategic decision-making and operational excellence. We're looking for an Analytics Engineer to bridge the gap between data engineering and analytics, someone who thrives on designing scalable pipelines, building intuitive dashboards, and collaborating across teams to unlock the full potential of data. This is a unique opportunity that blends the responsibilities of a Data Engineer and Data Analyst. You'll work end-to-end across the data lifecycle - from sourcing and transforming data to visualising insights that drive business performance. You'll be part of a collaborative team, working with stakeholders across the organisation to deliver high-impact solutions using Azure, Power BI, and Python. Design and maintain scalable ETL/ELT pipelines using Azure Data Factory and related tools Build and optimise data models, schemas, and documentation to support governance and quality Develop Power BI dashboards and visualisations for non-technical stakeholders Collaborate with analysts, data scientists, and business units to understand data needs Ensure compliance with data privacy and security standards Automate workflows using CI/CD, GIT, and scripting tools Investigate and integrate third-party solutions across reporting, governance, and infrastructure Stay current with industry trends and best practices in data engineering and analytics Profile Strong experience with the Azure tech stack (Data Factory, SQL, Functions, Logic Apps, Cosmos DB) Proficient in Power BI, Python, and GIT Proven ability to deliver commercial outcomes through data-driven projects Bachelor's degree in Computer Science, Data Science, or related field (Master's preferred) Experience with unstructured data and databases like MarkLogic or Cosmos DB Familiarity with CI/CD automation, data lakes, and distributed compute environments Strong business acumen and ability to translate business needs into technical solutions Visualisation experience in sales, e-commerce, or online platforms is a plus Knowledge of data governance frameworks (DMBOK, COBIT, ISO 27001, GDPR) Job Offer Nine-day fortnight - enjoy every second Friday off Flexible hybrid working and global mobility options Generous parental leave and early access to long service leave Continuous learning and personal development budget Inclusive culture with award-winning diversity programs Location: Sydney, NSW Type: Full-Time, Permanent Eligibility: Must have full working rights in Australia Ready to shape the future of data and make a real impact? Apply now and bring your expertise to a team that values innovation, collaboration, and purpose. To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Emily Cawley on 61282218125
