Top Data Jobs in Sydney

Analyze datasets to identify trends, drive insights, and collaborate with engineering teams to enhance data pipelines, applying statistical techniques to improve decision-making.

The role involves acquiring and analyzing new data sources, building pipelines, and collaborating to support quantitative research and trading strategies.

The Data Analyst II role involves delivering insights, building dashboards, conducting deep analyses, and collaborating with teams to drive data-informed decision-making across various business areas.

As a Growth Data Analyst, drive growth by connecting data and AI, unify client lifecycle insights, and enhance performance across marketing and sales operations.

The Principal Data Engineer will design and implement data architecture and pipelines, ensure data quality and security, mentor the team, and collaborate with various squads to drive impactful data solutions.

The Senior Site Acquisition Manager supports property acquisition and capital deployment, conducts feasibility analyses, manages budgets, and engages with stakeholders for site selection.

The role involves extracting data from various sources, ensuring timely delivery, quality auditing, and assisting in global trade data management.

The Engineering Manager for Customer Data Management will lead the team responsible for the flow of customer data, integration with data platforms, and compliance with data privacy standards, driving analytics and marketing initiatives.

Lead the development of data analytics initiatives, utilizing AWS data lake to provide insights, establish governance, and mentor teams.

The Senior Product Manager will lead Shippit's data and analytics products, managing the vision, strategy, and execution to enhance customer insights and commercial impact.

As a Data Scientist (AI), you'll collaborate with AI engineers, handle data analytics, oversee model fine-tuning, deployment, and perform A/B testing to enhance healthcare solutions.

Design, build, and optimize scalable data pipelines using Microsoft Fabric, collaborating with teams to deliver effective data solutions across cloud environments.

The ESG Junior Data Analyst will conduct research on environmental and social risks, assist with data collection and analysis, and support client inquiries. Responsibilities include ensuring data quality and updating internal documents while learning about ESG trends.

Lead and mentor a data engineering team, own the strategy for Mable's Data Intelligence Platform, and ensure data quality and governance while aligning data capabilities with business goals.

Design, build, and maintain data pipelines and infrastructure for analytics and AI; collaborate with Engineering teams to ensure data accuracy and governance.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.

Seeking a freelance technical writer for data infrastructure and engineering workflows. Responsibilities include translating complex concepts into digestible content and collaborating with SMEs for accurate communication.

As a Senior Data Engineer, you will design and maintain scalable data pipelines, implement cloud infrastructure, and ensure data quality and compliance in a global fintech environment.

As a Data Quality Specialist, you will assess and improve data quality, analyze datasets, develop metadata, resolve data issues, and enhance data quality frameworks.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Lead a team in developing scalable data solutions, mentor engineers, manage expectations, and contribute to code. Focus on high-quality software practices.

As the founding Data Engineer, you will design and optimize data pipelines for automotive data, ensuring data integrity and collaboration across teams.

The Senior Electrical Engineer will design and oversee projects for data centres, ensuring quality and collaboration with cross-functional teams.

The role requires ownership of archival projects based on OpenText InfoArchive, data extraction from SAP and Non-SAP systems, reporting, and managing archival execution.

Lead the design and implementation of data architectures for generative AI initiatives, collaborating with teams and establishing best practices.