Top Data Jobs in Sydney

As a Data Management Specialist, you will document and optimize our data processes, ensuring the accuracy of data sources and facilitating informed decision-making. Responsibilities include maintaining data flows, managing metadata processes, collaborating on business metrics, and resolving data quality issues.

As a Data Engineer III, you will design, develop, and implement data pipelines and integration solutions using Spark, Scala, and Google Cloud Platform. You'll collaborate with teams to ensure data quality, optimize data workflows, and monitor data pipelines for reliability while helping analysts and data scientists access necessary data sets.

As a Data Architect at Endeavour, you will lead the development of architecture practices focused on data and analytics. Responsibilities include designing end-to-end solutions, collaborating with stakeholders, ensuring conformance to architectural principles, diagnosing issues, and supporting the adoption of target-state architecture.

The Senior Staff Data Scientist will lead the development and delivery of Gen AI Chatbots and advanced AI models to enhance customer experience. This role requires hands-on coding, designing innovative AI solutions, and utilizing statistical and machine learning methodologies to contribute to the bank's strategic objectives.

The Senior Data Analyst role involves leading data analytics delivery, developing data quality rules using SQL, and presenting insights to senior stakeholders. Responsibilities include collaborating with product owners and stakeholders, performing data analysis, and managing relationships effectively to solve business problems and improve data quality.

The Senior Manager will lead and deliver consulting projects for Financial Services clients, focusing on technology strategy and implementation, including M&A due diligence, cloud migration, AI, and machine learning. Key responsibilities include project management, client relationship management, and leading strategic meetings to guide clients through complex issues and delivery challenges.

The Senior Data Engineer will transform raw data into insights by designing and building scalable data pipelines, optimizing data infrastructure, and mentoring team members on best practices. Collaboration with analytics, finance, engineering, and product teams is key to supporting the company's evolving technology needs.

As a Senior Data Engineer on the People Data Engineering Team at Walmart, you'll develop scalable big data solutions, ensuring data quality and governance while interacting with global engineering teams. Your expertise in big data technologies and SQL will help optimize data processes and contribute to the technical community.

The Senior Data Scientist will develop innovative data science solutions by collaborating with product managers and stakeholders, applying advanced machine learning algorithms, and delivering comprehensive solutions. Responsibilities include mentoring junior data scientists, communicating analyses, and utilizing a product mindset for deployment and scaling of data science products.

Collaborate with analysis and development teams on data modelling activities, contribute to data application projects, possess expertise in data warehousing and big data technologies, and demonstrate strong communication skills.

The Data and Analytics Engagement Lead will oversee operational reporting for the Plan to Fulfil process, collaborating with various teams to harmonize and standardize reporting requirements. Responsibilities include understanding enterprise data models, ensuring data architecture suitability for reporting, and driving consistency in reporting practices across business functions.

As a Data & Analytics Engagement Lead, you'll develop data strategies and manage data integration across sales and ERP systems like SAP and Salesforce. Your role involves collaborating with business and data owners to define reporting requirements, design data models, and support self-service reporting initiatives. You'll play a crucial part in data-driven decision-making within the organization and engage in data architecture to ensure reporting needs are met.

The Senior Data Domain Architect will design and manage data architecture within Supply Chain Planning and Manufacturing domains. Responsibilities include working with data analysts, creating data models, defining API specifications, ensuring compliance with data privacy regulations, and collaborating with various stakeholders to enhance data integration and analytics capabilities.

The Senior Data Scientist will develop innovative data science solutions to address complex business problems, deliver end-to-end solutions using advanced ML algorithms on large datasets, and communicate effectively with diverse audiences. The role involves mentorship of junior staff and adherence to ethical practices.

As a Senior Data Analyst, you will analyze marketing data, closely work with marketing teams to develop business intelligence solutions, and lead marketing measurement initiatives. You will ensure accurate data collection for marketing campaigns and track performance using various analytical tools and techniques.

As a Principal Data Analyst, you'll transform large datasets into insights, architect analytical solutions, mentor analysts, and collaborate with product managers and engineers to derive actionable insights. You'll also conduct complex data analyses and use visualization tools to communicate insights effectively.

The Data Engineer will design, develop, and maintain SQL data warehouses, optimize stored procedures, build reports using SSRS, create dynamic dashboards with Superset, and manage data pipelines via Airflow for data integration and automation.