Top Data Jobs in Sydney

As an Associate/Senior Associate in Data Analytics, you'll analyze data, collaborate with teams to derive insights, and support the firm's clients through actionable recommendations while developing your analytical skills.

As a Senior Data Analyst, you'll design and maintain analytical assets and dashboards, support AI/ML development, and deliver insights to inform business strategies.

The Senior Data Engineer will develop and maintain data pipelines, define common data standards, integrate data systems, and collaborate with cross-disciplinary teams to enhance data governance and platform scalability.

Lead a multidisciplinary Data and AI team, oversee enterprise data transformation, develop AI/ML models, ensure compliance, and promote data literacy.

Wayvia is building a talent pipeline for engineering roles focusing on backend systems, data pipelines, and product engineering. They seek curious and collaborative engineers to connect with and solve future challenges.

In this role, you'll engage clients to design and implement data solutions using Microsoft technologies, facilitate workshops, and drive insights with powerful analytics.

The Data Solutions Lead will bridge client ambitions with technical delivery by architecting data platforms, leading presales engagements, and translating complex requirements into effective solutions.

The Senior Data Specialist will manage analytics initiatives, client relationships, and develop data strategies while leading data collection and reporting efforts for enterprise clients.

The Data Conversion Analyst will develop and execute data conversion strategies, ensuring accurate data migration to Workday, while also managing data quality and cleansing processes.

As a Senior Data & Analytics Engineer, you will build data pipelines, manage large cloud data platforms, and develop analytics models and dashboards to provide insights.

The Data Manager oversees daily operations, manages a team, ensures data quality, coordinates processes, and engages in market research in financial services.

As a Data Engineer (Consultant), you will develop structured data sets, design data models, and create scalable ETL packages while collaborating with various teams to ensure data accuracy and optimize analytics capabilities.

The Data and Insights Lead develops data strategies, drives analytics projects, and ensures effective team training to enhance business outcomes.

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 Product Manager will create innovative data products for banks and fintechs while ensuring compliance with regulations and enhancing client experiences using machine learning and analytics.

As a Senior Data Platform Engineer, you will design and implement cloud-native data platforms, build ETL pipelines, and mentor team members while engaging with clients on varied projects.

As an Analytics Developer - Data Steward, you will deliver analytics solutions, manage data analytics capabilities, collaborate with stakeholders, and provide operational support.

As Head of the Data Science Hub, you'll set the data science strategy, lead a high-performing team, and engage with stakeholders to enhance analytical capabilities and support economic policy.

The Data Privacy & Compliance Specialist supports global privacy compliance, handles data subject requests, and oversees privacy governance projects at ResMed.

The Senior Data Engineer will deliver reliable data assets, transform complex data into usable formats, and build strong stakeholder relationships to adapt data solutions to evolving business needs.

Design, build, and optimize scalable data and AI solutions, lead engagements with executives, and mentor teams to drive high-quality outcomes in Data & AI.

The Principal Marketing Specialist will develop and execute ABM strategies, create marketing campaigns, perform account research, align with sales, and analyze campaign performance.

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 Data Engineer at Nine, you'll design data models, create and maintain data pipelines, ensure data quality, and explore AI technologies to enhance workflows.

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.