Top Data Jobs in Sydney

Leads the design and production delivery of generative AI solutions for clients. Manages and mentors data scientists, sets engineering standards, oversees solution quality and documentation, supports technical scoping and pre-sales, and helps shape reusable AI components and team strategy. Requires strong AI and machine learning expertise, production architecture experience, Python skills, cloud-native development knowledge, and commercial communication abilities.

Build and deliver production-grade generative AI and LLM applications using Python, machine learning, cloud platforms, APIs, SQL, and data pipelines. Contribute to AI evaluation, observability, testing, code reviews, and technical standards. Collaborate with clients and domain experts to define solutions, explain technical concepts, and communicate risks and trade-offs. The role supports end-to-end AI/ML delivery while developing technical and consultative expertise.

Own Zip’s Expected Credit Loss and loss forecasting processes, including monthly production, quarterly parameter monitoring, methodology, scenario and variance analysis, back testing, controls, automation, and audit support. Analyze portfolio performance, delinquency, and write-offs to produce clear recommendations for Credit Risk and Finance stakeholders. Improve data governance, analytical code, forecast accuracy, and explainability while supporting bad debt initiatives and exploring AI-enabled improvements.

Drive enterprise B2B sales of Salesforce Data Cloud and Agentforce within large accounts. Partner with primary account executives, conduct discovery, translate complex data and cloud concepts into business value, develop compelling points of view and use cases, exceed sales targets, and collaborate cross-functionally to deliver tailored customer solutions.

Lead complex data centre projects and programs from inception through post-project review. Manage client relationships, design, schedules, budgets, risks, safety, environmental requirements, vendors, contracts, reporting, and construction coordination. Review technical plans and specifications, resolve issues, negotiate outcomes, and support marketing and business development. The role requires strong project management expertise, data centre infrastructure knowledge, communication skills, and proficiency with Microsoft tools and Primavera.

Lead MRI APAC's data business to drive revenue through partnerships, data licensing, product commercialisation and ecosystem development. Own pipeline, pricing, licensing agreements, partner programs, product packaging, GTM and forecasting. Measure success by bookings, ARR, renewal rates, adoption and partner growth while establishing governance, operating rhythms and repeatable commercial assets.

Evaluate and annotate 3D meshes, GLB files, images, and short videos for model training and error resolution. Identify whether assets are artist-created or AI-generated, and detect geometry defects, topology errors, and scene inconsistencies. Requires hands-on 3D modeling experience, familiarity with Blender or Maya, strong mesh-topology knowledge, English proficiency, and a suitable computer with dedicated graphics capabilities.

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.

Deliver legal technology, AI-enabled workflows, and eDiscovery services for complex legal matters. Partner with lawyers and clients to design defensible data solutions using platforms such as Relativity, Harvey AI, Mary Technology, and CaseTrace. The role involves technical problem-solving, data analysis, project coordination, client engagement, communicating complex concepts clearly, managing multiple deadlines, and collaborating with multidisciplinary teams.

Build and operate cloud-native pipelines, services, and integrations for high-volume grid, meter, telemetry, and utility data. Develop data models, ingestion workflows, observability, data quality checks, and near-real-time integrations between Flex, utility systems, and grid modelling engines. Improve customer onboarding processes and contribute to testing, CI/CD, code quality, and engineering culture while using AI-assisted development tools.

Lead the design and development of modern data platforms, focusing on scalable architecture and high-performance data pipelines while ensuring security and compliance.

Lead data strategy and architecture for AI-native SaaS, building secure, tenant-isolated context and retrieval layers, data platform, integrations and eventing. Define data contracts, models, and observability; make buy-vs-build decisions; mentor and grow a small Data team; partner with Product, Engineering, AI and Platform to enable reliable agentic AI features and compliant data access.

Design and deliver governed, scalable data products and a unified semantic layer across Finance, People, Procurement, and Compliance using Databricks, dbt, SQL, and PySpark. Implement end-to-end governance (Unity Catalog, column-level security, lineage, PII handling), drive DataHub metadata adoption, and set engineering standards for CI/CD, testing, observability, and data quality. Translate senior-stakeholder requirements into production-grade solutions used for reporting, analytics, and AI.

Design and deliver governed, production-grade data products and a unified semantic layer across Finance, People, Procurement, and Compliance. Build scalable pipelines, models, and governance (Unity Catalog, DataHub, Delta) using Databricks, dbt, SQL, and PySpark. Drive data quality, lineage, access control, and enable analytics and AI consumers.

The role involves delivering Data & AI solutions in marketing, leading client engagements, and developing strategies to enhance customer insights and experiences.

Drive revenue growth by selling VAST Data solutions to enterprise customers, managing relationships, and developing channel partnerships while exceeding sales quotas.

Work within data-led teams to analyze large customer, campaign, and digital datasets, build and optimize SQL queries and analytical tables, measure campaign and digital sales performance, deliver actionable insights and recommendations, and partner with stakeholders to influence customer experience and commercial outcomes.

The role involves managing cost plans, pricing individual items, preparing cost reports, assessing tenders and variations, and utilizing digital tools for deliverables.

The Project Manager will lead project management commissions, ensuring projects meet client objectives, are delivered on time and within budget, and establish effective governance and reporting.

The role involves designing and building cloud-native data platforms and pipelines, optimizing data storage, and consulting with clients on data solutions. It requires hands-on engineering skills and experience with modern data technologies.

The role involves leading data platform engineering, defining technical direction, advising on modern data strategies, and mentoring teams in a consultancy environment.

The Product Analytics Engineer will manage product analytics, conducting investigations, A/B tests, and developing metrics to inform product decisions.

The Senior Data Scientist will enhance survey operations, analyze data quality, run experiments, and collaborate with cross-functional teams to solve business problems using advanced data science techniques.

Technical leader responsible for designing and operating scalable, fault-tolerant ETL/ELT pipelines and real-time stream processing using Kafka and RabbitMQ. Optimize ClickHouse schemas and queries for large financial datasets, deploy secure cloud data services, implement monitoring and automated recovery, and mentor data engineers while aligning data strategy with business objectives.

The Principal Marketing Specialist will develop and execute ABM strategies, create marketing campaigns, perform account research, align with sales, and analyze campaign performance.