Top Data Jobs in Sydney

Manage daily Data team operations, research and analyze datasets, build internal and external reports (including an annual Startup Ecosystem Ranking), and maintain/improve Python scripts and data infrastructure to deliver actionable insights.

Design and deliver production-grade GenAI and LLM applications end-to-end: architecture, cloud deployment, containerisation, APIs, data pipelines, evaluation and observability. Collaborate with clients and domain experts, mentor junior team members, conduct code reviews, and support technical scoping and proposals.

Triage and resolve Master Data Management (Party, Risk, Reference) issues in Stibo STEP, run targeted data-cleansing sprints, monitor data quality dashboards, support releases/UAT, and maintain documentation and playbooks to prevent recurring data issues.

Data Contributors will research startups, analyze global data for StartupBlink's Global Startup Ecosystem Index, and compile accurate information for publication.

Lead design, development, deployment, and continuous improvement of cloud-native data and analytics solutions on Azure. Act as a hands-on technical lead building scalable, secure end-to-end data platforms using Spark/Databricks, Python/PySpark, and orchestration tools. Ensure CI/CD, DevOps, automation, code quality, mentor team members, resolve complex technical issues, and collaborate with stakeholders and vendors to drive platform evolution.

Lead and mentor data engineering teams to design, build, and scale batch and real-time data pipelines, data warehouses, and analytics-ready data marts. Drive adoption and safe productionization of Agentic AI (text-to-SQL, remediation agents, self-healing pipelines), define best practices and guardrails, and partner with cross-functional teams to translate business needs into robust, cloud-based data solutions.

Own strategic growth for hyperscale, colocation, and enterprise data center accounts in the Pacific. Build executive relationships, influence early-stage cooling and sustainability design, lead complex cross-portfolio deals (HVAC, BMS, fire, security, digital), align global/regional teams, and maintain pipeline, forecasting, and CRM discipline through contract award and delivery.

The Technical Account Manager for Data Centres will lead technical engagements, support sales, and ensure solutions meet customer requirements for data centre operations.

Maintain and improve reliability of large-scale data pipelines by monitoring performance, building automation and data quality tests, investigating incidents, performing root-cause analysis, applying SRE principles, and collaborating with engineers and market data teams to ensure accurate, timely data for trading and research.

Embed with enterprise clients to architect, prototype, and deploy agentic multi-agent AI systems and RAG workflows. Re-engineer business processes into human-in-the-loop and autonomous AI workers, integrate cloud, data pipelines, and frontier LLMs, and advise executives on rollout and risk-managed adoption.

Early-career role building and evaluating LLM-powered agentic trading systems for crypto markets. Develop pipelines, prompt strategies, retrieval, model evaluations, and ship Python code for production features.

Early-career intern will support AI projects for compliance and risk (KYC, KYB, EDD). Tasks include testing and optimizing LLM/Agent workflows, reviewing prompts and model outputs, documenting findings and edge cases, supporting small-scale implementations, and performing operational analysis to improve processes.

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 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.

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.

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 Sales Specialist will drive sales of data solutions in the financial sector, focusing on new business and relationship management while leading pre-sales activities.

Manage and validate geological and related datasets for mining, exploration, and environmental projects. Administer project databases, perform QA/QC, integrate public datasets, improve data workflows, resolve inconsistencies, and engage with clients and internal stakeholders to deliver fit-for-purpose data solutions.

Lead APRA and superannuation regulatory reporting, manage end-to-end tax statement delivery, and oversee data migrations and integrity. Partner with Product, Fund Accounting, Risk, and Technology, establish reporting governance and controls, provide senior leadership insights, and build a high-performing team focused on reconciliation, validation, and continuous improvement.

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.

Design, build and optimise cloud data platforms and lakehouse solutions on Microsoft Azure and Microsoft Fabric. Develop scalable ETL/ELT pipelines, data models, and transformations using SQL, Spark and Python. Implement data governance, security, CI/CD and collaborate with stakeholders to enable analytics, reporting and AI use cases.

Take end-to-end ownership of backend features and SaaS services in a microservices architecture. Design, implement, deploy, and operate scalable, reliable Node.js services. Work with Redis Streams, MongoDB, Kubernetes, and ensure test coverage, performance tuning, and collaboration with cross-functional teams.

Build and own Overflow's data infrastructure: design ETL/ELT and CDC pipelines, data warehouses, OLAP schemas, and a unified data layer. Enable self-service analytics and dashboards, implement Databricks Unity Catalog for governance, ensure data quality and monitoring, and partner with Head of AI and cross-functional teams to prepare semi-structured data for MLOps and advanced AI workflows.