Top Data Jobs in Sydney

Hunt and win new enterprise and mid-market customers for voice, mobile, data, cloud and managed services. Prospect, build executive relationships, create commercial solutions, negotiate and close deals. Lead opportunities end-to-end with Solution Architects and technical specialists, manage pipeline and forecasts, and prepare proposals and tenders.

Leads account-based marketing and industry programs across Australia and New Zealand. Responsibilities include managing strategic accounts, coordinating regional and global stakeholders, overseeing budgets and vendors, measuring pipeline and marketing impact, improving program scalability, and mentoring the ANZ marketing team. Requires strong B2B marketing, ABM, stakeholder management, analytical, commercial, and cross-regional program leadership experience.

Support the design, configuration, implementation, testing, integration, and enhancement of ServiceNow solutions across ITSM, HRSD, SPM, and ITOM. Participate in requirements workshops, solution documentation, stakeholder collaboration, defect resolution, deployments, and client support. The role involves enterprise transformation projects, platform administration, REST and SOAP integrations, IntegrationHub, MID Server, and ongoing process improvement.

Designs and optimizes scalable data pipelines and architectures supporting analytics and operational needs. The role develops ETL, streaming, data quality, governance, and cloud-based workflows using modern big data technologies. Responsibilities include translating business requirements into technical solutions, monitoring data systems, improving reliability and performance, and providing technical guidance on data modeling, storage, and metadata management.

Owns planning and delivery of Canva’s Data program portfolio, including complex cross-functional initiatives such as data governance, classification, access control, and AI-ready infrastructure. The role manages scope, sequencing, risks, dependencies, milestones, and delivery governance while partnering with Data, Engineering, Product, Legal, Security, and Growth teams. It requires influencing without authority, improving delivery practices, and driving strategic programs from ambiguous mandates to measurable outcomes.

Leads operations, maintenance, performance, capacity, incident response, business continuity, safety, and customer-impacting services across 18 Australian data centres and more than 200 employees. Establishes KPIs, SLAs, budgets, and operational standards; drives sustainability, compliance, security, and transformation initiatives; coordinates with global design and construction teams; and develops a high-performing, collaborative operations leadership culture.

Senior Data Engineer responsible for modernizing and simplifying data platforms across legacy and cloud environments. The role involves designing Snowflake, dbt, and Azure Data Factory solutions; supporting SQL Server warehouses; building pipelines and data products; improving reliability, governance, security, lineage, and operational excellence; and partnering with stakeholders during platform transformation. The engineer will also help enable future AI and machine-learning workloads through quality data products, model-supporting pipelines, and monitoring capabilities.

Leads cross-functional special projects involving air network planning, scheduling, airline partner performance, and operational analytics. Develops optimization models, analytical frameworks, automation tools, scripts, and lightweight products to improve routing, capacity allocation, scheduling efficiency, and planning workflows. Partners with engineers, operations teams, and management to implement solutions, establish best practices, and scale innovative approaches across the organization.

Leads UniSuper’s data science capability and a specialist team delivering predictive models, machine learning, and advanced analytics. Sets technical standards, oversees model development and production maintenance, establishes governance, monitors performance and fairness, and translates analytical outputs into business decisions. Partners with senior stakeholders and Product Owners to identify valuable opportunities, prioritizes work, evaluates commercial and operational impact, and supports financial crime, efficiency, and regulatory objectives.

Designs and administers secure, governed Google Cloud environments, focusing on IAM, RBAC, BigQuery permissions, policy tags, masking, service accounts, and least-privilege access. The role develops Terraform-based infrastructure, troubleshoots configuration issues, supports dbt and data-platform deployments, migrates governed data-access patterns, documents solutions, and guides engineers and stakeholders through cloud configuration and access challenges.

Develops automated P&L reporting and trading analytics using real-time financial data. Responsibilities include analyzing execution patterns, slippage, and market impact; optimizing ClickHouse SQL queries; defining trading KPIs; monitoring data quality and compliance; building Python automation scripts; and designing data models for high-frequency reporting. The role requires finance or fintech experience, advanced SQL, Python, visualization skills, and the ability to communicate findings to technical and non-technical stakeholders.

Own the data platform product roadmap, including multi-chain ingestion, on-chain parsing, token and market data, APIs, datasets, analytics tools, governance, quality monitoring, and metric frameworks. Partner with engineering, backend, algorithm, BI, risk, growth, and business teams to deliver reusable data products. The role requires substantial product management experience, hands-on Web3 knowledge, understanding of blockchain data models, SQL proficiency, and familiarity with data infrastructure and analytics tooling.

Design, develop, deploy, and support scalable cloud-based data pipelines, warehouses, ETL processes, and data models. Optimize performance, reliability, and data quality while applying governance standards. Collaborate with analysts, data scientists, engineers, and business stakeholders on AI-driven solutions. Create technical documentation, resolve incidents, contribute to architecture and engineering standards, and mentor other engineers.

Lead data-focused business analysis for data platform, data product, and governance engagements. Act as the customer proxy, investigate and validate data using SQL, interpret models and mappings, and translate business needs into technical requirements. Facilitate workshops, define acceptance criteria, support prioritization and UAT, and produce clear documentation. Partner with technical leads to shape solutions and apply a data product perspective focused on outcomes, value, and delivery.

Own the end-to-end delivery of data pipelines, models, and tests using MSSQL, dbt Cloud, Snowflake, and Fivetran. Monitor data quality, lineage, and job health while developing reusable data modeling patterns and scalable solutions. Collaborate across teams, maintain strong documentation, and use AI-assisted development tools to improve productivity, testing, reliability, and code quality.

Lead the design and development of cloud-based data platforms, pipelines, ETL/ELT processes, data models, warehouses, and lakes using Azure and Databricks. Build integrations, optimize performance, implement governance, monitor pipelines, resolve issues, and create Power BI reports. Collaborate with product managers and technical teams to deliver scalable, reusable data solutions and document processes.

Own the strategy, roadmap, backlog, and delivery of internal IT data products supporting modern IT service and asset management. Translate customer needs into user stories, personas, journeys, and experiments; collaborate with stakeholders and Agile teams; and make data-driven decisions across data pipelines, governance, quality, and cloud data platforms.

Lead the design and development of cloud-based data platforms using Azure and Databricks. Build and optimize ETL/ELT pipelines, data models, warehouses, lakes, and integrations; implement governance, monitoring, and troubleshooting; and create Power BI reports. Collaborate with product managers and cross-functional teams to deliver scalable, high-quality data solutions, while documenting processes and applying coding and DevOps best practices.

Manage training, competency, compliance, audits, corrective actions, and deployment readiness for security personnel across data centres in Victoria and New South Wales. Develop security training and competency frameworks, oversee licensing and certification records, coordinate inductions, support site mobilisations, identify compliance risks, and report performance and key risks to the National Account Manager.

Build and operate a standardized AI evaluation and safety framework for patient-facing conversations and health insights. Develop monitoring services, evaluation datasets, metrics, thresholds, and guardrails; integrate AI assistants with patient data models; and manage production monitoring and alerts. Collaborate with clinicians, coaches, support teams, and engineering groups to improve safety, accuracy, and quality across healthcare AI systems.

Analyze crypto portfolio and market data, build dashboards and reports, monitor asset performance, automate data workflows, ensure data integrity, and present actionable insights to finance, investment, and other stakeholders.

Leads and manages an analytics engineering team while setting organization-wide standards for data modeling, governance, observability, and self-service analytics. Designs scalable dbt and Databricks data models, semantic layers, data contracts, and reliable data products integrated with Tableau. Drives CI/CD, automated testing, documentation, pipeline performance, data quality, and cross-functional alignment across engineering, analytics, commercial, product, and data science teams.

Own and govern investment data and platform support for front-office workflows. Manage data quality, security master and reference data processes, coordinate onboarding of securities/benchmarks/market data, partner with State Street and vendors to resolve platform issues, and support testing and implementation of platform enhancements (Charles River, Alpha Data Platform).

The Customer Technology Advisor drives technology solutions, collaborates with partners to deliver value, and supports pre-sales processes, leveraging technical expertise and consultative selling to exceed customer expectations.

Provide pragmatic commercial legal advice, lead drafting and negotiation of complex commercial and technology contracts, support major projects and strategic initiatives, identify and manage legal and regulatory risk, build strong stakeholder relationships, and contribute to process improvement and mentoring within the in-house legal team.