Top Data Jobs in Sydney

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.

As a Customer Support Engineer, you will manage customer relationships, resolve technical issues, and support installations and troubleshooting for VAST products.

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 role involves leading design and solutioning for SAP BDC, driving data initiatives, mentoring junior consultants, and providing technical guidance in data projects.

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.

Manage market data lifecycle, ensuring effective support for trading and research teams, vendor management, compliance, and reporting.

The role involves leading data-driven solutions for infrastructure projects, engaging with stakeholders, and developing insights using data analytics and AI techniques.

Lead high-impact engagements in advanced analytics and AI, designing secure architectures, guiding executive stakeholders, and mentoring teams while driving measurable business value.

As Data Science Lead, you'll develop advanced analytics and AI solutions, guide projects, mentor team members, and ensure effective application of data science.

The Data Product Manager will manage the product roadmap and external data sharing while collaborating with data science and engineering teams to enhance model performance and define long-term data strategies for utilities.

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

As a Senior Data Engineer, you'll design and transition data platforms, optimize performance, support data accessibility, and collaborate widely across teams.

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

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

This role leads enterprise-scale AI and Data transformation programs, acting as a trusted advisor to senior executives, and shaping data strategies and governance frameworks.

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

The Data Analyst will establish analytics ownership for dashboards and reporting, provide insights to stakeholders, and improve decision-making through data quality and instrumentation.

The role involves designing and implementing scalable data pipelines and infrastructure on GCP, ensuring data quality, and collaborating across teams for operational excellence.

As a Data Engineer, you will build and optimize data solutions, manage data pipelines, and engage clients for technical projects using cloud and Databricks.

The role involves managing and growing data supplier relationships, ensuring compliance, driving performance, and collaborating with teams to unlock revenue opportunities through partnerships.

The role involves developing analytical scripts in SQL and Python, collaborating with lawyers and stakeholders, ensuring data accuracy, and creating bespoke data analytics solutions for clients.

The Data Quality Management Lead will drive the data quality vision, implement best practices, manage critical data, and enhance data literacy at Rest.

Lead data science and AI solutions for central banking challenges, mentor teams, and translate complex analytics into insights. Requires advanced technical leadership.

Intelligen is seeking Data Engineers with 3-5+ years of experience in ETL and DWH technologies, particularly with Snowflake and dbt, to improve client data models and pipelines.

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.