Top Data Jobs in Sydney

As a Senior Data Analyst at Athena, you'll provide actionable insights through reports and dashboards, ensure data accuracy, and collaborate with stakeholders to support business decisions.

As a Data Engineer, you'll build data infrastructure, manage ETL pipelines, ensure data quality, and collaborate with teams for analytics and reporting solutions.

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

The Marketing Data Analyst manages data projects, analyzes research data, presents findings, and provides strategic solutions to clients.

The Staff Data Engineer will lead data engineering practices, optimize data pipelines, ensure data quality, collaborate across teams, and document processes.

The Global Data & Reporting Analyst will develop and manage automated data pipelines, ensure data quality for sustainability reporting, and optimize data processes for internal and external stakeholders.

The Customer Technology Advisor will leverage technical expertise in Data and AI to enhance customer relations, design solutions, and lead pre-sales processes, ensuring alignment with client needs and Kyndryl standards.

As a Senior Data Analyst, you'll lead data governance and risk analytics projects while engaging stakeholders and enhancing risk reporting processes.

The Sales Director will focus on client acquisition and retention for Enterprise Data Management Solutions in Australia, collaborating with various teams and utilizing consultative selling techniques to drive revenue growth.

As a Data Architect at Adobe, you'll develop and implement data architectures for various platforms, ensuring effective data management and integration across systems while collaborating with cross-functional teams.

The role involves designing and implementing complex data pipelines while working with clients. You'll lead junior engineers and ensure efficient data processing and visualization.

As a Senior Data Engineer at Trust Wallet, you'll design and maintain data infrastructure on AWS, develop data pipelines, and optimize data storage and governance processes for analytics and decision-making.

As a Senior Data Engineer, you will build and operate data ingestion systems, ensuring data reliability and security while collaborating in a DevOps environment.

As a Data Engineer, you will design, build, and maintain a scalable data infrastructure, ensuring data quality and accessibility while collaborating with cross-functional teams.

Develop full-stack applications and data tools, manage ETL pipelines, and collaborate with product and marketing teams to integrate data for business insights.

The Data Engineer will design and maintain ETL pipelines, optimize data models, develop exporters, and ensure reliable data services for the Lambda app in a fast-paced startup environment.

The Principal Cloud Data Engineer will design modern data architectures, lead engagements, and advise C-level executives on data strategies, governance, and AI, leveraging Azure technologies to deliver scalable solutions.

The role involves building real-time data pipelines, implementing data mesh architectures, providing client advisory, and developing data solutions using modern tools and technologies.

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

Lead the APAC Data Engineering Platform team, develop solutions for data orchestration, storage, and governance. Collaborate with stakeholders to define the strategy and roadmap, while also managing team performance and delivering the platform vision.

Lead and mentor a team in data engineering, overseeing the development of data pipelines and platforms while ensuring data quality and governance.

The Data & Integration Engineer will design and implement ETL/ELT pipelines, optimize SQL models, and integrate data across systems while ensuring data quality and compliance.

Lead the strategic AI/ML initiatives at Lendi Group, managing a team, overseeing the AI product lifecycle, and collaborating with stakeholders to deploy value-accretive solutions.

As a Senior Data Scientist, you'll lead data-driven growth strategies, build predictive models, and support cross-functional teams to enhance product performance.

The Associate Data Analyst will support data analysis, develop forecasting models, automate reporting, and analyze trading performance metrics.