Top Data Jobs in Sydney

Design, develop, and own scalable big data and software solutions for Atlassian’s internal data platform. Collaborate with engineers and architects to ship features, uphold coding standards, and improve security, reliability, availability, performance, and operational excellence. Build and deploy services using distributed systems, cloud platforms, and big data technologies while applying data-driven problem solving.

Own regional data center vendor strategy and end-to-end colocation deals, including planning, RFPs, commercial negotiations, execution, vendor relationship management, QBRs, budgeting, spend review, and invoice approval. The role coordinates with legal, operations, capacity planning, network strategy, and security teams across multiple geographies to expand and optimize Cloudflare’s data center footprint.

Support 5G Core and Cloud Core solutions for carrier-grade customer networks. Lead L2/L3 incident investigations, fault isolation, service restoration, root-cause analysis, and stability improvements across UDM, UDC, Kubernetes, and cloud-native platforms. Collaborate across product, project, service delivery, IMS, EPC, RAN, and BSS teams while providing customer updates, technical guidance, RCAs, automation, documentation, mentoring, and continuous improvement.

Lead the strategy and delivery of Data, AI, and analytical products across Endeavour Group’s retail media ecosystem. Responsibilities include designing product roadmaps, leading cross-functional squads, prioritizing backlogs, aligning technical and business stakeholders, managing product P&Ls, evaluating vendors and build-versus-buy options, and balancing dependencies with long-term D&AI strategy.

Support Workday data conversion projects by extracting, transforming, loading, and validating data from legacy HR and financial systems. Responsibilities include developing ETL scripts, mapping legacy data, identifying quality issues, communicating with project and client leadership, managing risks, collaborating with clients, and improving conversion methodologies. The role requires Workday, HRIS, ERP implementation, database, XML technologies, and consulting experience, with four days onsite and Australian Baseline clearance eligibility.

Leads technical pre-sales for enterprise data management solutions, including discovery, solution design, product demonstrations, proof-of-concept engagements, executive briefings, RFP responses, and partner enablement. Translates customer requirements involving cloud infrastructure, data security, governance, privacy, and compliance into measurable business outcomes. Collaborates with sales, product, engineering, marketing, customer success, and channel partners throughout complex enterprise sales cycles.

Advises clients on identifying, designing, implementing, and governing AI capabilities across Dynamics 365, Power Platform, SharePoint, and Microsoft 365. The consultant facilitates discovery workshops, translates business needs into AI-enabled solutions, configures Copilot and Copilot Studio, supports AI agents and automations, contributes to proofs of concept, and assists with customer engagement, demonstrations, governance, and pre-sales activities.

Own and grow a portfolio of enterprise client accounts through consultative sales, new business development, expansions, renewals, and retention. Translate client priorities into professional services and application managed services solutions, coordinating internal specialists, vendors, and partners. Manage sales pipelines, forecasts, commercial governance, and opportunity lifecycles while maintaining client satisfaction and long-term value.

Own data science for an AI entertainment product, including event logging, product analytics, experimentation, A/B testing, model evaluation, customer journey analysis, and diagnosing user behavior changes. Translate ambiguous questions into actionable product decisions, measure outcomes, and continuously improve the product. The role requires technical fluency, product judgment, analytical rigor, clear communication, curiosity about AI, and end-to-end ownership.

Leads integrated work programs, planning governance, maintenance work management systems, performance analytics, assurance, audits, compliance, shutdown scheduling, and team capability development across a critical infrastructure portfolio. Ensures Maximo and WMIS data accuracy, delivers dashboards and reports, manages planning standards, and supports reliable, safe, and predictable service delivery.

Build and optimize scalable ETL/ELT pipelines using Azure Databricks, SQL, and Python. Develop data ingestion processes, API integrations, and automated data solutions; troubleshoot pipeline, data quality, integrity, and performance issues; and support production monitoring. Collaborate with technical and business stakeholders to deliver reliable data for reporting and analytics, while documenting architecture, transformations, and data flows.

Sell Salesforce Agentforce and Data 360 solutions to enterprise customers by sourcing and qualifying opportunities, conducting technical discovery, crafting POVs, collaborating with cross-functional teams, and demonstrating how AI-driven customer engagement and Data 360 deliver scalable business impact. Meet and exceed technical sales targets while translating complex AI capabilities into business outcomes.

Operate and support data platforms by monitoring pipelines and ETL processes, investigating data and reporting issues, responding to alerts, troubleshooting incidents, and improving monitoring, runbooks, and automation. The role uses SQL and supports cloud, Kubernetes, legacy platforms, infrastructure-as-code, CI/CD, and Confluent event streaming. After training, the engineer will participate in a 24/7 on-call roster.

Lead enterprise data engineering enablement by designing reusable pipeline standards, self-service templates, CI/CD controls, dbt testing, observability, and cost guardrails. Manage and develop 8–10 data engineers while governing external delivery partners, technical acceptance criteria, and fixed-outcome SOWs. Translate data architecture into production-grade ELT pipelines, certify enterprise data assets, improve reliability, and drive pragmatic adoption of Generative and Agentic AI across engineering workflows.

Lead technical pre-sales activities for complex Data and AI engagements. Consult with customers, design solutions, build proof-of-concepts and demos, develop technical proposal and RFP content, and ensure successful handoff of documented solutions to delivery teams. Work independently with account managers, delivery leads, and practice heads to guide opportunities toward signed statements of work.

Lead strategic, end-to-end analytics initiatives for the Medical business, partnering with leaders to identify opportunities, solve complex business problems, and drive measurable commercial value. Translate data into analyses, dashboards, and recommendations; influence senior decision-making; evaluate business impact; and mentor colleagues while advancing analytics capabilities, standards, and platform adoption.

Lead strategic analytics initiatives for the Medical business, partnering with leaders to identify opportunities, solve complex problems, and deliver measurable commercial value. Translate data into analyses, dashboards, and recommendations; influence senior decision-making; manage end-to-end projects; assess business impact; and mentor colleagues while advancing analytics standards and platform adoption.

Lead complex data centre projects and programs from inception through post-project review. Manage client relationships, design, schedules, budgets, risks, safety, environmental requirements, vendors, contracts, reporting, and construction coordination. Review technical plans and specifications, resolve issues, negotiate outcomes, and support marketing and business development. The role requires strong project management expertise, data centre infrastructure knowledge, communication skills, and proficiency with Microsoft tools and Primavera.

CommBank is seeking Indigenous job seekers for various roles across its sectors, offering traineeships, internships, and direct employment opportunities with support from an Indigenous Careers team.

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.

The Project Manager will lead project management commissions, ensuring projects meet client objectives, are delivered on time and within budget, and establish effective governance and reporting.

Hunter-style BDM role selling Experian's data quality solutions. Prospect and close new logos and expand existing accounts, manage full sales cycle, run meetings, and tailor solutions including data validation, enrichment, management and single customer view technologies.

Analyze marketing, media, website, CRM, and brand data to develop measurement frameworks, actionable insights, dashboards, and executive presentations. Build and debug analytics tracking, automate reporting, and create AI pipelines using prompts, evaluations, and data workflows. The role requires translating complex findings into clear recommendations, working with messy data, and collaborating with strategists, designers, and technologists to improve business decisions.

Lead the electrical design for data centre projects, manage multidisciplinary teams, engage clients, mentor junior engineers, and incorporate industry trends.

The role requires overseeing mechanical design for data centres, leading projects, engaging clients, and mentoring junior engineers, while staying updated on industry trends.