Top Data Jobs in Sydney

Support analytics and reporting for Treasury operations, focusing on data analysis, application support, and process improvement in financial services.

As Director of Business Management for Technology, Data & AI, you'll oversee governance, financial management, and strategic alignment within Zip's technology operations.

Design and deliver scalable Databricks Lakehouse solutions while collaborating with clients to address data challenges and enhance AI capabilities.

The Data Engineer will develop data pipelines, models, and tests, ensuring data quality and driving strategic decisions through effective data solutions.

The Associate Consultant supports client engagement, solution design, testing, and capability building in Dynamics 365 CE and Power Platform, while developing consulting skills and knowledge.

Provide CMMS administration and data management for FM platforms (D365, Urbanise, Maximo). Support data extracts/loads, validate uploads, maintain asset registers, build Power BI reports, troubleshoot systems, produce processes and training, and assist contract mobilisations and KPI reporting.

As a Senior Data Scientist at Culture Amp, you'll lead discovery work on workforce data, build models to surface insights, and partner with engineers to productionise findings.

Seeking a Senior Data Engineer with 7-10+ years of experience in data engineering, cloud computing, and strong SQL expertise. Responsibilities include data modeling, ETL processes, collaboration, and stakeholder engagement. Upskilling in Snowflake may be required.

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.

As a Data Lead at Fetch, you will build and manage the entire data stack, ensuring data reliability and automation for better insights and decisions.

The Partnerships Data Analyst will drive brand partnerships, support strategy, improve BI and data reporting, and provide actionable insights from complex datasets to elevate sales growth.

Provide technical support to customers, manage technical operations, and escalate issues. Must have experience in complex storage solutions and Linux administration.

The Software Engineer will design and implement scalable data pipelines, optimize data processing, collaborate with teams, and mentor junior engineers, focusing on performance and cost-effective solutions.

As a Data Engineer, you will develop data pipelines, ensure data quality and governance, and architect solutions for advanced analytics, enabling effective data sharing across the business.

The Senior Dynamics 365 CE Functional Consultant will lead client engagements, design and implement solutions, mentor team members, and support business development activities.

The Senior Data Engineer will design and maintain data solutions to support analytics and operational outcomes, optimizing data models and ensuring data quality and governance.

Provide first line support to managed services clients, design and develop enhancements for client solutions, and handle incident reports while mentoring team members.

Develop, train, and deploy machine learning models to detect automation and fraud, explore datasets for anomalies, and collaborate with teams to operationalise models.

As a Data Scientist, you'll guide data-driven strategies by analyzing data, running experiments, and collaborating with cross-functional teams to drive operational changes at DoorDash.

The Data Observability Engineer will develop data observability tools, manage analytics frameworks, and contribute technical expertise across projects, ensuring integration and risk management.

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.

The Senior Data Scientist will lead the development of machine learning models, conduct data analysis, and collaborate with cross-functional teams to optimize services and tools at Mable.

The Data Scientist role involves developing credit risk models, collaborating with teams to create data products, and integrating ML models with data pipelines.

The role is responsible for managing AI infrastructure, building scalable systems for AI features, and collaborating with teams to enhance AI capabilities.