Top Data Jobs in Sydney

Build and maintain secure, scalable batch and real-time data pipelines for payment and transaction data. Integrate APIs, databases, files, event streams, and third-party platforms; develop Snowflake data objects, tests, orchestration, monitoring, reconciliation, and recovery processes. Optimize platform performance, apply governance and security practices, troubleshoot issues, and provide rotational on-call support while partnering with analysts and stakeholders in Agile teams.

Develop and productionize predictive models and AI solutions using large datasets and feature stores. Responsibilities include financial and valuation modeling, personalization, growth and retention analytics, model deployment and maintenance in the cloud, automation, MLOps improvement, stakeholder collaboration, documentation, and delivery of projects within schedule and budget.

Leads analysis, mining, modeling, and visualization of large-scale transactional, operational, and customer data. Partners with compliance teams to prioritize analytical use cases, support regulatory requirements, improve business efficiency, and translate complex findings into actionable recommendations. Oversees multidisciplinary analysts, manages stakeholder data requests, assesses business changes, and develops analytical systems using machine learning, big data technologies, and visualization tools.

Lead the optimization and scaling of Airtree’s data infrastructure across Snowflake, dbt, AWS Lambda, and Streamlit. Build reliable ETL/ELT pipelines, improve data models, support investment origination and portfolio reporting, enhance dashboards, identify system bottlenecks, and promote data-driven decision-making. Collaborate with investment, strategy, investor relations, and finance stakeholders while translating complex technical concepts into practical insights.

The Strategic Account Manager will manage commercial relationships with ANZ utility subscriptions, focusing on account expansion, renewals, and building executive relationships within accounts to ensure long-term growth and strategic direction.

Manage and optimize high-load Microsoft SQL Server databases, including advanced T-SQL development, query and execution-plan optimization, indexing, locking, memory, disk performance, AlwaysOn availability, maintenance, recovery, security, integrity checks, monitoring, and incident resolution. Support analysts and ML engineers with reliable data access across databases reaching tens of terabytes.

Supports Agile delivery for a federal government data program as Scrum Master and Business Analyst. Responsibilities include facilitating Scrum ceremonies, managing backlogs, tracking milestones, risks and dependencies, gathering requirements, mapping processes, developing user stories and documentation, facilitating stakeholder workshops, and supporting testing, implementation, governance and change activities.

Manage multiple concurrent data centre infrastructure projects across the AusPac region from proposal handover through commissioning and closeout. Lead engineering, procurement, logistics, installation, commissioning, contractors, budgets, schedules, risks, quality, HSE, contractual obligations, and customer communications. Coordinate cross-functional teams delivering temporary power, cooling, generators, load banks, BESS, and related critical infrastructure while ensuring safe, timely, profitable, and high-quality execution. Drive issue resolution, stakeholder alignment, continuous improvement, and lessons learned.

Design and implement enterprise data governance frameworks, policies, and operating models. Establish stewardship, metadata management, lineage, and data quality practices. Facilitate stakeholder workshops, embed governance into delivery, support governance tooling adoption (data catalogs, metadata platforms), and provide advisory and mentoring to uplift organisational governance capability.

Monitor and optimize data pipeline reliability, performance, and SLA compliance. Design data quality tests, investigate incidents, perform root-cause analysis, and implement preventive measures. Apply SRE practices to improve alerting, resilience, and recovery while developing automation that reduces manual intervention. Collaborate with data engineers, researchers, and market data teams to deliver accurate, available, trusted data supporting trading and research.

Lead data conversion for Workday Student implementations across the full project lifecycle. Responsibilities include defining conversion approaches, analyzing legacy student data, mapping and transforming data, managing mock loads and validation, resolving data-quality issues, supporting testing and cutover, and coordinating production deployment. The consultant leads customer workshops, communicates risks, mentors others, and collaborates with project managers, functional consultants, and technical teams to deliver accurate student data conversions.

Analyzes supporter behavior, fundraising performance, campaigns, retention, and lifetime value to identify actionable growth opportunities. Maintains data quality, dashboards, reports, visualizations, and audience segmentation while supporting predictive analysis and business intelligence improvements across Salesforce and other fundraising systems. Partners with stakeholders to translate complex data into clear recommendations and promote data-driven decision-making.

Lead ANZ solutions sales, unite specialist teams, drive regional commercial strategy, coach account managers, influence cross-functional stakeholders, manage pipeline and forecasting, and scale go-to-market execution to grow enterprise B2B revenue.

Lead ABB’s go-to-market strategy and national growth across data centre and defence infrastructure sectors. Develop sales pipelines, manage forecasting, build relationships with customers, developers, investors, consultants, contractors, and channel partners, and position ABB’s low-voltage solutions as preferred offerings. The role combines technical knowledge of LV electrical systems with commercial strategy, stakeholder engagement, opportunity management, and cross-functional collaboration.

Partner with product, business, and operations teams to drive strategic decisions through data. Design and analyze A/B tests, build data models and dashboards, define and forecast key metrics, and communicate insights to technical and non-technical audiences. The role also involves mentoring data professionals and promoting best practices in experimentation, instrumentation, data warehousing, and data integrity.

Drive sales and partnerships within the Public Sector by leveraging Databricks' platform, managing relationships with stakeholders, and executing end-to-end sales cycles.

Owns end-to-end product, growth, subscription, and commercial analytics. Responsibilities include defining metrics, improving instrumentation and data quality, analyzing customer behavior and retention, reconciling subscription data, building executive dashboards, supporting experimentation, and translating findings into recommendations. The role requires advanced SQL, BigQuery, Python, and stakeholder communication skills, with additional exposure to product analytics, SaaS, mobile subscriptions, e-commerce, AI features, and statistical analysis valued.

Advise customers on Azure cloud, database, analytics, and AI solutions. Design secure and scalable architectures, lead discovery workshops, demonstrations, proof-of-concepts, and deployment planning, and guide database modernization and migrations. Partner with sales, customer success, and technology partners to influence technical decisions, remove deployment blockers, and drive adoption. Apply expertise in Microsoft Fabric, Azure Databricks, Azure databases, PostgreSQL, advanced analytics, and emerging Agentic AI technologies.

Leads North American indirect tax requirements and global tax data governance for an SAP S/4HANA transformation. Oversees U.S. and Canadian tax processes, tax determination, reporting, reconciliations, data standards, tax technology integrations, testing, deployment, audit readiness, and compliance. Partners across Tax, Finance, IT, Master Data, Analytics, Procurement, Supply Chain, and Shared Services to improve tax data quality and establish scalable global operating models.

Own the end-to-end data stack, including ingestion into Snowflake, tested and documented dbt-style models, metric definitions, dashboards, and external reporting. Partner with Growth, Credit, Operations, Finance, Treasury, and executives to turn business questions into trusted recommendations. Establish data governance, self-service analytics, and quality standards from scratch while using AI to accelerate mechanical work and maintaining rigorous verification. This founding role may grow into leading the future data team.

Analyze utility customer data, build dashboards and visualizations, deliver bespoke analyses, validate outputs, and communicate insights to technical and non-technical stakeholders. Support customer delivery by partnering with power engineers and data engineers, troubleshoot data issues, and help translate recurring analyses into product features. Contribute to documentation, playbooks, tooling, and automation that improve analytics delivery.

Lead the design and technical direction of Immutable Audience’s data platform. Build real-time streaming infrastructure with Kafka, Flink, and ClickHouse; own BigQuery warehouse datasets and dbt transformations; and establish standards for data quality, testing, observability, cost, and latency. Mentor engineers, guide architecture decisions, communicate trade-offs to stakeholders, and integrate AI tooling into engineering workflows and platform capabilities.

Designs, builds, and optimizes cloud-native data platforms, batch and real-time pipelines, and AI-powered data products using Snowflake, Databricks, AWS, and Azure. The role includes data architecture, governance, quality, observability, security, performance and cost optimization, infrastructure as code, and direct client collaboration. The engineer also contributes to technical design, estimation, delivery planning, and modern AI capabilities such as semantic search and RAG.

Leads the design and production delivery of generative AI solutions for clients. Manages and mentors data scientists, sets engineering standards, oversees solution quality and documentation, supports technical scoping and pre-sales, and helps shape reusable AI components and team strategy. Requires strong AI and machine learning expertise, production architecture experience, Python skills, cloud-native development knowledge, and commercial communication abilities.

Build and deliver production-grade generative AI and LLM applications using Python, machine learning, cloud platforms, APIs, SQL, and data pipelines. Contribute to AI evaluation, observability, testing, code reviews, and technical standards. Collaborate with clients and domain experts to define solutions, explain technical concepts, and communicate risks and trade-offs. The role supports end-to-end AI/ML delivery while developing technical and consultative expertise.