Overview
Award-winning culture, flexible perks, and data-driven impact
Shape Australia's future with flexible perks, and purpose-driven work.
About Our Client
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.
Job 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.
Responsibilities
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
Qualifications
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 *****, GDPR)
What\'s on 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.
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