Top Data Jobs in Sydney

Provide security services at a high-profile data centre, including foot patrols, access control, CCTV monitoring, visitor assistance, and emergency response. The role requires Australian citizenship, a current or obtainable AGSVA Positive Vetting Clearance, relevant state security and driver licences, first aid certification, rotating 24/7 availability, and the ability to complete extensive walking patrols.

Leads Vantage’s APAC sustainability strategy, embedding sustainability across development, construction, procurement, operations, and business decisions. Advises executives on ESG risks and opportunities, regulatory and climate issues, stakeholder engagement, customer sustainability needs, and sustainable supply chains. Partners with global sustainability, public policy, communications, sales, and engineering teams to deliver regional programs, reporting, training, data quality, and external engagement. The role requires influencing multinational, cross-functional teams and integrating sustainability into large capital projects.

Build and maintain FinOps data pipelines, BigQuery and dbt models, cost attribution systems, forecasting and anomaly detection models, and cost-versus-revenue analytics. Identify and implement AWS and GCP savings opportunities, automate governance with Python, Terraform, and Lambda, and partner with Engineering, Finance, Product, and leadership on cloud costs, forecasting, reporting, and architecture decisions.

Develop and improve performance reports and dashboards, deliver accurate data, analyze trends, and support business decision-making. The role includes data cleaning, validation, visualization, reporting-system administration, AI transformation projects, and maintaining reporting hierarchies. The analyst will use SQL, Excel, Power BI, data warehousing, ETL concepts, and AI tools such as Claude and Copilot while collaborating with commercial teams.

Leads Azure-based data engineering engagements, including architecture, implementation, assessments, ingestion frameworks, data warehousing, analytics, and proof-of-concepts. Advises clients, presents to executives, supports presales, conducts workshops, reviews architectures, and contributes to delivery planning. Provides technical leadership through mentoring, hiring, onboarding, and engineering best-practice development.

Develop and support Microsoft Fabric data platforms, Lakehouse environments, data pipelines, and enterprise integrations. Integrate data from multiple systems using APIs and databases, maintain reliable data solutions, and enable reporting, analytics, and business insights. The role also involves troubleshooting, continuous improvement, source control, and collaboration with technical and non-technical stakeholders across business technology initiatives.

Supports HammondCare’s data and AI governance framework by assessing projects, systems, and use cases for risk; maintaining governance templates; applying privacy, security, classification, and access principles; answering governance questions; resolving data issues; and helping technical and non-technical teams use data responsibly. The role also identifies opportunities to simplify governance practices and improve accountability, accuracy, and consistency across analytics, reporting, AI, and operational decision-making.

Build and maintain batch and streaming data pipelines, Airflow workflows, data models, and warehouse datasets for a crypto trading platform. Improve data quality, freshness, performance, and cost efficiency through monitoring, validation, troubleshooting, and optimization. Collaborate with engineering and business users to define datasets, metrics, and documentation. This fully remote APAC role requires strong Python and SQL skills, hands-on Kafka, Spark, and Airflow experience, crypto or Web3 data engineering experience, and clear Mandarin communication.

Advise customers on Azure cloud, database, analytics, and AI solutions. Design secure and scalable architectures, lead discovery workshops, demonstrations, proof-of-concepts, and deployment planning, and guide database modernization and migrations. Partner with sales, customer success, and technology partners to influence technical decisions, remove deployment blockers, and drive adoption. Apply expertise in Microsoft Fabric, Azure Databricks, Azure databases, PostgreSQL, advanced analytics, and emerging Agentic AI technologies.

Leads North American indirect tax requirements and global tax data governance for an SAP S/4HANA transformation. Oversees U.S. and Canadian tax processes, tax determination, reporting, reconciliations, data standards, tax technology integrations, testing, deployment, audit readiness, and compliance. Partners across Tax, Finance, IT, Master Data, Analytics, Procurement, Supply Chain, and Shared Services to improve tax data quality and establish scalable global operating models.

Lead analytics and AI initiatives, manage and develop analysts and consultants, oversee dashboards, reporting, KPI frameworks, data transformation, and analytical products, and advise business stakeholders. The role combines delivery leadership, stakeholder engagement, quality governance, resource allocation, and continuous improvement across the Data and AI practice. Candidates should have experience with business intelligence, Power BI or Tableau, Python, Alteryx, SQL, AI-enabled analytics, performance measurement, consulting delivery, and team coaching.

Leads technical design and delivery of data engineering solutions migrating legacy data warehouses to Azure Databricks. Responsibilities include hands-on development, data modelling, ETL automation, DevOps, data quality, security, performance optimization, stakeholder collaboration, and mentoring onshore and offshore engineers. The role requires building scalable ingestion, curation, and transformation frameworks aligned with business requirements and architecture.

Analyze crypto portfolio and market data, build dashboards and reports, monitor asset performance, automate data workflows, ensure data integrity, and present actionable insights to finance, investment, and other stakeholders.

Leads client-facing architecture and implementation of State Street Alpha Data Platform and Data Services solutions. Responsibilities include requirements definition, solution design, implementation oversight, data integrations, testing, go-live support, defect resolution, scope management, vendor collaboration, and post-launch adoption. The role requires expertise in asset management data across front, middle, and back offices, financial data domains, data governance, SQL, and business analysis and project management.

Coordinate delivery across the Data Products portfolio, managing implementations, migrations, testing, regulatory requirements, risks, dependencies, milestones, and stakeholder communications. Lead multiple concurrent workstreams, facilitate meetings and workshops, maintain delivery plans and reporting, and ensure actions and deliverables remain on track. This hands-on role partners with Product, Technology, and business teams in a fast-moving technology environment.

Build and manage scalable, secure, high-throughput data pipelines and infrastructure on Google Cloud. Design BigQuery data models, develop batch and real-time ETL/ELT systems using Dataflow, Apache Beam, Composer, Airflow, and Pub/Sub, and support data quality, governance, CI/CD, monitoring, and troubleshooting. Collaborate with data scientists, analysts, and engineers while implementing Terraform-based infrastructure, secure network architectures, and enterprise cloud solutions.

Supports clinical data management projects through clinical trial data entry, validation, reconciliation, query tracking, database and edit-check testing, reporting, and study progress tracking. Assists Clinical Data Managers with data cleaning, external data transfers, coding coordination, meeting documentation, and compliance with GCDMP guidelines, ICH-GCP, regulatory requirements, and standard operating procedures.

Design, implement, support, and optimize enterprise network infrastructure for a large-scale data centre transformation program. Responsibilities include routing and switching, migration delivery, troubleshooting, performance improvements, testing, transition activities, and stakeholder engagement across technical and business teams.

Supports APAC Data Centre Capital Markets leadership through executive administration, strategic operations, Salesforce data integrity, process improvement, marketing initiatives, event coordination, reporting, financial administration, and cross-functional project delivery. The role also promotes team culture, onboarding, knowledge sharing, and consistent adoption of JLL systems and procedures across the region.

Embedded Senior Data Scientist in a Forward Deployed Engineering team who builds, evaluates, and ships production-ready ML solutions. Works with messy real-world data, runs experiments tied to business outcomes, collaborates with engineers and product teams, and applies modern AI practices while maintaining security, quality, and customer focus.

Build and operate a Databricks-based data platform, including ingestion pipelines, CDC feeds, orchestration, CI/CD, governance, security, cost optimization, data quality, and observability. Partner with analytics and data science teams while creating self-service tooling. The role requires strong SQL and Python, cloud data-platform experience, API integration, production troubleshooting, and software engineering practices. Experience with Databricks, dbt, AWS, Spark tuning, streaming, security, and AI/LLM applications is preferred.

Architect and evolve mission-critical AWS data and integration platforms using event-driven architectures and Kafka. Lead solution design across large-scale projects, ensuring reliability, scalability, security, and alignment with enterprise architecture. Partner with engineering, infrastructure, delivery, testing, and business stakeholders to produce technical designs, functional specifications, controls, data flows, and non-functional requirements. Support cloud transformation initiatives in complex, highly regulated environments and represent architecture through governance forums.

Serve as technical co-founder for a validated venture, rapidly shipping products, building reliable data pipelines, deploying production AI, establishing engineering infrastructure, making technical tradeoffs, and hiring and leading the initial engineering team. Work with a co-founder and venture builder to convert validated demand into measurable traction.

Designs and delivers NVIDIA-based generative AI solutions for enterprise customers and partners. Responsibilities include leading technical engagements, developing proofs of concept and demonstrations, writing Python for data and AI pipelines, designing scalable architectures, deploying workloads on Kubernetes, enabling customers through training, and coordinating engineering, product, sales, and external stakeholders. The role requires expertise in data science, deep learning, LLMs, RAG, agentic AI, LangChain, LangGraph, GPUs, and customer-facing technical consulting.

Design and deliver scalable data platforms, pipelines, integrations, and analytics solutions using modern cloud technologies. Translate business needs into technical solutions, lead client-facing delivery, mentor consultants, support proposals, and build trusted stakeholder relationships. The role requires strong data engineering foundations, Databricks expertise, sound technical judgment, and the ability to lead projects or small technical teams in a consulting environment.