Top Data Jobs in Sydney

Lead the data function to integrate data into business strategy, build a cross-functional team, ensure data quality, and drive innovation.

The Senior Data Analyst translates business needs into actionable data deliverables, ensuring high-quality data products through collaboration with stakeholders and agile methodologies.

Lead the data analytics team to deliver insights, mentor staff, liaise with stakeholders, and contribute to data projects.

As a Principal Consultant in Data & Analytics, you'll lead the design and delivery of data engineering initiatives, advise clients on data strategies, and mentor teams. You will architect scalable data solutions using platforms like Azure and Snowflake, ensuring alignment with governance and best practices.

The role involves developing ETL/ELT pipelines using Talend, managing Snowflake data warehouses, writing complex SQL queries, and integrating APIs.

As a Senior Data Engineer, you'll ensure data quality, manage data platforms, mentor junior engineers, and develop data products at Tracksuit.

As a Senior Data Services Specialist, you will build data platforms, engineer features for machine learning, and improve data processing, collaborating closely with stakeholders.

The Senior Manager, Issuing Advisory - Data Science is responsible for developing and delivering data science solutions, mentoring junior members, and collaborating with cross-functional teams to improve client outcomes.

The Data Management Specialist will document, optimize, and maintain data workflows, ensuring data quality and accessibility across the organization while collaborating with various teams to enhance decision-making processes.

Lead the evolution of Blinq's data infrastructure, manage a team of data engineers, and ensure scalable, reliable data systems for analytics and product insights.

As a Senior Data Engineer, you will manage data platforms and pipelines, integrate systems, and enhance data infrastructure using Microsoft Fabric.

The Head of Data Operations manages the data team, ensures data quality, oversees operations, and enhances data processes while communicating with stakeholders.

Lead Empower's Data Science team in Latin America and APAC, developing risk models and credit policies to drive underwriting and product innovation.

The role involves designing and delivering data science solutions, managing client relationships, mentoring junior staff, and optimizing AI models based on Visa's extensive data sets.

Analyze data using advanced statistical and machine learning techniques, build predictive models, and develop data-driven solutions to inform business decisions.

As a Data Engineer, you will design and maintain real-time data pipelines using Kafka, collaborate with teams, and ensure data system performance and reliability.

The Data Engineer will support research teams by optimizing data processing workflows, managing data pipelines, and collaborating on data strategy. Responsibilities include development of platforms, cost optimization, monitoring, and mentoring.