Top Data Jobs in Sydney

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.

Provide analytical and operational support to Group Tax, ensuring data integrity, tax compliance and governance. Maintain compliance trackers and SOPs, operate tax/reporting tools, drive process automation and AI-enabled improvements, prepare materials for senior stakeholders, and support continuous improvement projects.

Lead design and scaling of real-time data infrastructure. Build fault-tolerant ETL/ELT pipelines, implement Kafka/RabbitMQ streaming, optimize ClickHouse schemas and queries, deploy secure cloud data services, mentor engineers, and implement monitoring and automated recovery for financial analytics.

Support sales team by collecting, cleaning, and analyzing large datasets; produce routine and ad-hoc reports and dashboards; develop forecasts and sales initiatives; manage sales case handling and cross-departmental projects; communicate insights and resolve operational issues.

Design, develop, and manage large-scale search and content recommendation systems. Apply ML-based personalization to improve content matching and distribution. Lead core recommendation module development, define success metrics, and collaborate with content, product, and business teams to drive AI product upgrades and better user and business outcomes.

Develop, deploy, and maintain LLM pipelines and RAG QA/search systems; design and optimize prompts and multi-agent LLM architectures; operate multi‑GPU/cluster inference; build evaluation pipelines for model quality, bias, and hallucination; collaborate with product and CS teams to integrate conversational AI.

Design, build, and manage large-scale search and content recommendation systems using machine learning and personalization techniques. Collaborate with content, product, and business teams to define success metrics, drive AI product improvements, and maximize content value and user impact.

Early-career role building and evaluating LLM-powered agentic trading systems for crypto markets. Develop pipelines, prompt strategies, retrieval, model evaluations, and ship Python code for production features.

Develop and optimize marketing-focused algorithmic models (CTR/CVR, LTV, attribution, uplift), design lifecycle strategies for acquisition/retention, validate via A/B testing and causal inference, and collaborate with data/product/operations to deploy models into marketing systems to drive growth.

Perform accurate data entry and verification, maintain data integrity through regular checks and audits, assist account managers with data reconciliation, identify and correct errors, safeguard confidential information, and support timely team data operations.

Client-facing data scientist for consumer measurement: design and evaluate panels, clean and prepare large datasets, develop and prototype new methodologies, support production deployment, present insights to clients and stakeholders, document best practices, and identify data quality risks and enhancements.

Senior developer responsible for driving development of MYOB's SaaS platform, building web services and integrations, deploying cloud solutions (Azure/AWS), implementing TDD, DevOps, event-driven architecture and CI/CD, and collaborating with the Data & AI team to deliver AI-powered features and scalable, resilient systems.

This role involves managing data collection for training AI models, integrating infrastructure, and collaborating with scientists to improve data quality and pipeline efficiency.

Dragonfly is seeking Software Engineers for various portfolio companies, focusing on crypto technologies. Engineers of all experience levels are needed across multiple stacks.

The Technical Account Manager for Data Centres will lead technical engagements, support sales, and ensure solutions meet customer requirements for data centre operations.

The role involves designing, building, and maintaining scalable data pipelines for analytics, ensuring data quality and reliability, and mentoring other engineers. Requires collaboration with various teams to translate domain requirements into data systems.

Lead and optimise Evidentia's investment data assets, develop data strategy and governance, manage data providers, oversee data collection/validation/delivery, build centralised data capabilities, partner on AI-driven solutions, coordinate cross-functional teams, and generate insights to support investment decision-making.

Lead marketing analytics for acquisition, activation, and retention. Build dashboards, data models, and pipelines; design attribution and incrementality measurement; run experiments (A/B, multivariate); partner with marketing and data engineering to deliver insights and embed data-driven decision-making.

Own strategic growth for hyperscale, colocation, and enterprise data center accounts in the Pacific. Build executive relationships, influence early-stage cooling and sustainability design, lead complex cross-portfolio deals (HVAC, BMS, fire, security, digital), align global/regional teams, and maintain pipeline, forecasting, and CRM discipline through contract award and delivery.

Oversee all Australian tax compliance and reporting, manage tax returns, advise on tax legislation, and mentor junior staff.

The Data & AI Process Redesign Specialist will redesign data-driven processes and governance frameworks, partnering with stakeholders across technology-led programs.

The Sales Specialist will drive sales of data solutions in the financial sector, focusing on new business and relationship management while leading pre-sales activities.

Lead regional Decision Intelligence for Fraud & Identity: define strategy, manage data product lifecycles, commercialise assets, align cross-functional teams, drive data product initiatives, and influence investment and resource allocation to deliver measurable business value.

Manage and validate geological and related datasets for mining, exploration, and environmental projects. Administer project databases, perform QA/QC, integrate public datasets, improve data workflows, resolve inconsistencies, and engage with clients and internal stakeholders to deliver fit-for-purpose data solutions.

The Principal DevOps Engineer leads software technology initiatives, designs systems, oversees testing, and ensures client requirements are met through advanced algorithms and coding. Responsibilities include documentation, implementation, and project reviews.