Top Data Jobs in Sydney

The Data Platform Engineer role involves delivering data projects, managing ETL processes, and ensuring client needs are met with robust data solutions.

As a Data Scientist, you'll collaborate across teams to design datasets, extract and clean data, automate processes, and innovate methods for data onboarding.

As a Data Architect, you will design cloud-native data platforms, lead migration projects, drive data strategies, and mentor junior members.

Design and maintain secure, scalable ELT data pipelines using Azure tools, ensuring data accuracy and collaboration with teams.

The Staff Data Engineer will design and implement a Data Lake platform, optimize performance, collaborate with teams, and mentor engineers.

The role involves applying AI techniques to solve commercial problems, communicating findings to stakeholders, and managing data science projects in various sectors.

As a Senior Data Engineer, you'll own Blinq's data analytics infrastructure, maintain analytics tools, ensure data accuracy, and support data-driven decisions in a hybrid work setting.

As a Data Engineer at Nascent, you will identify novel data sources, develop pipelines, conduct exploratory analyses, and collaborate across teams to enhance trading strategies.

The Sr Coord, Data Analytics is responsible for data operations and reporting for Sales teams, including generating standard reports and coordinating with account management.

Lead and grow a data engineering team, build a modern data platform, and manage resources while ensuring technical excellence through collaboration and transformation.

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

Assist in building business metrics systems, analyze data using SQL, support product and marketing teams, and generate reports.

As a Senior Data Scientist at Shift, you'll develop and manage predictive models focusing on credit risk and fraud detection, ensuring model governance and data quality. You'll collaborate with various teams to translate complex analytics into business strategies, while mentoring junior data scientists.

As a Senior Data Scientist at Airtasker, you will lead the development of ML/NLP models, analyze data, collaborate with teams, and mentor junior staff while optimizing product features and user engagement.

The Junior Data Scientist role involves data cleaning, analysis, and visualization to support decision-making and enhance data quality across the organization.

The Data Scientist will develop AI features, design solutions, enhance data quality, and work with ML engineers and data scientists.

The Staff Data Engineer will lead Blinq's data engineering infrastructure, optimize data pipelines, ensure data quality, and collaborate with teams to align data systems with business goals.

As a Data Scientist, you'll harness data to drive meaningful outcomes, collaborate with teams to design analytics services, and advocate for data-driven decision-making.

Design and implement modern data platforms, build ETL pipelines, mentor team members, and engage directly with clients to deliver data solutions.

As a Data & Insights Analyst, you will transform insights delivery, partner with stakeholders, and create scalable solutions using advanced analytics and AI tools.

The Data Scientist will analyze data, develop predictive models to detect fraud, collaborate with teams, and enhance reporting capabilities.

The Senior Data Engineer will design and develop AI systems, ensuring data pipeline integrity, optimizing performance, and maintaining documentation and governance.

As a Data Scientist, you will analyze complex datasets, develop power market models, and deliver data science insights to enhance product offerings.

As a Data Engineer, you'll design and build scalable data pipelines and models to enhance the data platform, ensuring high quality and reliability while collaborating with cross-functional teams.

The Senior Data Analyst will perform marketing analytics and business intelligence to aid strategic decision-making, lead marketing measurement initiatives, and enhance tracking operations.