Top Data Jobs in Sydney

Drive growth through partnerships in the ANZ region, executing GTM strategies and fostering relationships with stakeholders, while tracking performance.

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.

Drive growth in the Data Centre sector by building relationships with operators, consultants and partners; identify customer opportunities; collaborate with technical specialists to develop sustainable water and operations solutions; and contribute to ANZ growth strategy and customer-focused innovation.

The Key Account Manager will prospect for new business, manage existing accounts, and deliver on revenue targets while leveraging data management solutions.

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

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

The Data Science Manager role involves analyzing consumer behavior through data, improving methodologies, and developing solutions, while collaborating with stakeholders in the APAC region.

As a Salesforce Senior Functional Consultant, you'll lead workshops, configure Salesforce, manage project backlogs, and ensure effective solution design while collaborating with stakeholders.

The role involves leading sales efforts for Wealth Data Solutions in Australia, structuring deals, and building relationships with clients in financial markets. It requires extensive market knowledge and strong closing skills.

The Senior Test Analyst will validate the Endeavour Data Platform on GCP, ensuring data accuracy, handling defect management, and supporting UAT, while contributing to continuous improvement in testing practices.

Lead end-to-end modelling for novel 2D/3D computer vision solutions using multi-date/multi-angle imagery. Design architectures, run experiments, improve models via data strategy, and collaborate with ML engineers to productionise robust, well-evaluated models.

The Data Engineer will manage data projects, design and maintain data pipelines, ensure data quality, collaborate with teams, and troubleshoot data issues.

Lead a unified data and experimentation framework across the company, engaging with core business lines to support data-driven decision-making, while ensuring data quality and governance.