Top Data Jobs in Sydney

The Senior Data Analyst manages quarterly analytical projects, transforming business questions into scalable data products while mentoring analysts and ensuring project alignment with company OKRs.

The role involves designing and building cloud-native data platforms and pipelines, optimizing data storage, and consulting with clients on data solutions. It requires hands-on engineering skills and experience with modern data technologies.

As a Data Engineer, you will build and optimize data solutions, manage data pipelines, and engage clients for technical projects using cloud and Databricks.

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 Workday Data Lead, you'll implement and configure Workday solutions, transform customer data, and lead data workstream implementations while building customer relationships.

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

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 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 Reference Data Analyst, you will validate and manage key reference datasets critical to trading, collaborate with traders and technologists, and develop strategic data solutions.

The Data Engineering Lead is responsible for building data solutions, optimizing pipelines, and collaborating with stakeholders to align data infrastructure with business needs, ensuring data quality and stability.

The Master Data Developer designs and configures PIM solutions, ensures data integrity, assists in MDM strategy, and maintains relationships with stakeholders.

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 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.

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.

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.

In this role, you'll monitor data pipelines, perform quality tests, resolve data incidents, and implement automation for reliability in trading operations.

Design and maintain data pipelines for financial data products, mentor junior engineers, and enhance engineering standards in the Batch and ETL team.

As a Senior Data Manager, you will lead data governance, integrity, and analytics for a strategic transformation program in maritime sustainment. Responsibilities include overseeing data architecture, enabling analytics, and implementing data quality improvement plans while collaborating with various stakeholders.

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

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

As a Data Engineer, you will develop, maintain, and support scalable data pipelines and systems, ensuring data integration, quality, and performance optimization for innovative payment solutions.

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

The role involves designing and implementing scalable data pipelines and infrastructure on GCP, ensuring data quality, and collaborating across teams for operational excellence.

As a Frontend Software Engineer, you will develop the Feedzai Orchestration product, focusing on user-friendly complex data tasks. You will collaborate with designers, backend engineers, and product managers to deliver high-quality web applications, iterating in an Agile environment.