Top Data Jobs in Sydney

The role involves leading ServiceNow implementations, architecture design, documentation, workshops, and ensuring integration functionalities across multiple environments, focusing on HRSD and SPM.

Lead the build-out of end-to-end data, analytics and data science capabilities for the insurance business. Hands-on delivery of data capture, pipelines, reporting, statistical/ML models, data architecture selection, governance and compliance. Translate underwriting/pricing/claims questions into models and insights, embed AI/ML into workflows, and grow a geographically distributed data team.

Turner & Townsend is seeking Project and Cost Managers for diverse infrastructure projects. Roles are open to all experience levels with a focus on project management, cost management, and engineering.

As a Data Engineer, you will develop and manage data pipelines, ensuring reliable data ingestion and delivery while optimizing for simplicity and performance.

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.

Lead global account strategy and growth for top-tier data center clients. Build executive relationships, develop and convert a global pipeline, lead complex deal strategy and negotiations, orchestrate cross-regional teams, influence product direction via Voice of Customer, and run executive-level reviews to drive long-term partnerships and revenue.

Lead APAC sales for Aireon's ADS-B commercial data services: build pipeline, close deals, manage key accounts, represent the company at industry events, provide market feedback, and collaborate cross-functionally to expand product adoption and revenue.

Drive growth in the Data Centre sector by building relationships with operators, consultants and partners; identify customer opportunities; collaborate with technical specialists to develop sustainable water and operations solutions; and contribute to ANZ growth strategy and customer-focused innovation.

Lead a 10–15 person data engineering organization to define strategy, standards, and roadmap for cloud-native, production-ready data platforms. Own SDLC, CI/CD, governance, secure API architectures, and partner integration while mentoring engineers, right-sizing squads with product, and driving observability, automation, and scalable data modelling across business domains.

Partner with product and business teams to design and deliver hypothesis-driven analyses and experiments using governed data (SQL, dbt, Databricks). Own analysis from framing to recommendation, drive an experimentation mindset, document insights for reuse, and prioritise analytical work against strategic initiatives to influence decisions and improve product outcomes.

Lead design and delivery of scalable data architecture and pipelines. Build, maintain and optimise ETL/data infrastructure, collaborate with stakeholders to translate requirements, ensure data quality and performance, and adopt modern data engineering practices and tools to enable trusted, business-ready datasets.

Lead and execute Vantage's APAC public policy strategy, manage government and regulatory engagement, build and lead a regional policy team, coordinate with internal stakeholders, manage third-party advocates, ensure compliance with lobbying and anti-corruption laws, translate policy risks into business actions, and support sustainable, community-aligned growth across APAC markets.

Serve as a strategic analytics partner to the Medical division: identify opportunities, lead end-to-end analytics projects, deliver insights and dashboards, quantify commercial impact, influence senior stakeholders, and mentor team members to drive adoption of analytics best practices and measurable business value.

As a Senior Data Analyst, you'll lead analytics initiatives, mentor junior colleagues, influence stakeholders, and deliver insights to drive strategic outcomes.

Act as a strategic analytics partner to the Medical business: identify opportunities, lead end-to-end analytics projects, build dashboards and recommendations, quantify commercial impact, influence senior stakeholders, and mentor the analytics team to drive adoption and measurable business value.

As a Senior Data Analyst, lead complex analytics projects, mentor junior colleagues, and deliver insights that influence strategic decision-making across the business.

As a Customer Support Engineer, you will manage customer relationships, resolve technical issues, and support installations and troubleshooting for VAST products.

The Key Account Manager will prospect for new business, manage existing accounts, and deliver on revenue targets while leveraging data management solutions.

The Global Client Manager drives new business acquisition and manages relationships, focusing on sales of IP transit services to ISPs globally, ensuring client satisfaction and revenue growth.

Perform full-stack on-chain and product analytics: query on-chain data, profile ecosystem actors, benchmark protocols, define KPIs, build dashboards, and translate findings into actionable briefs for strategy, BD, product, and growth teams.

Lead and grow MRI APAC’s data business by commercialising proprietary data through partnerships, licensing, productisation and ecosystem development. Own revenue, pipeline, pricing, negotiations, forecasts and governance; build partner relationships, define product packaging and GTM, recruit ecosystem participants, and drive bookings, renewals and product adoption while operating autonomously with cross-functional stakeholders.

Lead data science for Canva's Ecosystem, partnering with Product and Engineering to define measurement, experimentation, and AI evaluation strategies. Drive growth opportunities, set data-informed goals, coach senior data scientists, and surface insights for product and commercial teams.

Lead data-driven discovery by delivering actionable user insights, designing experiments, building goal metrics and dashboards, partnering with product and engineering, and influencing roadmap decisions to improve search and recommendation experiences.

Design, build and maintain scalable cloud data pipelines and warehouses. Improve performance, ensure data quality and governance, support AI/ML initiatives, document systems, and collaborate with cross-functional teams while mentoring engineers.