Top Data Jobs in Sydney

As a Reference Data Analyst, you will validate and manage key reference datasets critical to trading, collaborate with traders and technologists, and develop strategic data solutions.

As a Customer Technology Advisor, you will leverage technical expertise to drive customer solutions, coordinating pre-sales processes and collaborating with partners to deliver innovative technology offerings.

As a Customer Technology Advisor, you'll drive technology solutions in sales, providing expertise and coordinating pre-sales activities while building customer relationships.

As a Senior Data Engineer, you will design and maintain scalable data pipelines, implement cloud infrastructure, and ensure data quality and compliance in a global fintech environment.

As a Data Scientist (AI), you'll collaborate with AI engineers, handle data analytics, oversee model fine-tuning, deployment, and perform A/B testing to enhance healthcare solutions.

Lead and mentor a data engineering team, own the strategy for Mable's Data Intelligence Platform, and ensure data quality and governance while aligning data capabilities with business goals.

The Data Engineer will design, build, and maintain data pipelines and integrations for Tyro's Data & AI Platform, ensuring data quality and compliance while supporting AI initiatives and operationalizing machine learning models.

The Senior Data Analyst will lead analytics projects autonomously, mentor junior analysts, manage complex data projects, and provide insights to support decision-making and organizational development.

In this role, you'll monitor data pipelines, perform quality tests, resolve data incidents, and implement automation for reliability in trading operations.

Lead the design and delivery of data and AI strategy at Zip, managing a high-performing team to drive innovation and ethical practices in financial services.

As a Senior Software Engineer II, you will modernize SOX Compliance systems by designing AI-enabled solutions and collaborating with cross-functional teams, ensuring effective risk management and operational efficiency.

As a Data Analyst, you'll deliver high-quality insights to drive business decisions, improve efficiency, and promote AI analytics integration across Zip's operations.

Design and maintain data pipelines for financial data products, mentor junior engineers, and enhance engineering standards in the Batch and ETL team.

The role requires ownership of archival projects based on OpenText InfoArchive, data extraction from SAP and Non-SAP systems, reporting, and managing archival execution.

As a Senior Data Manager, you will lead data governance, integrity, and analytics for a strategic transformation program in maritime sustainment. Responsibilities include overseeing data architecture, enabling analytics, and implementing data quality improvement plans while collaborating with various stakeholders.

Lead data transformation projects, focusing on migrating to cloud infrastructure, managing multiple agile workstreams, and ensuring compliance and benefits realization.

The Lead Engineer - Data Platforms will develop and support scalable data solutions, optimize ETL processes, ensure compliance, and lead teams to improve workplace culture and performance.

The Marketing Data Analyst manages data projects, analyzes research data, presents findings, and provides strategic solutions to clients.

Interns will work alongside analysts, collecting and cleaning sports data, analyzing trends, and gaining insights into the sports consultancy industry.

The role involves driving sales of low voltage products in Data Centers, establishing customer relationships, and developing market opportunities, while managing sales plans and proposals.

As the founding Data Engineer, you will design and optimize data pipelines for automotive data, ensuring data integrity and collaboration across teams.

As a Data Scientist, you will analyze data to improve member outcomes, support data-informed recommendations, and contribute to AI model development.

As a Data Engineer, you will develop, maintain, and support scalable data pipelines and systems, ensuring data integration, quality, and performance optimization for innovative payment solutions.

As Lead Data Scientist, you'll manage a data science team, develop advanced machine learning models, and deliver scalable data products, collaborating with various stakeholders.

The Staff Data Engineer will lead data engineering practices, optimize data pipelines, ensure data quality, collaborate across teams, and document processes.