Top Data Jobs in Sydney

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

The Configuration and Data Management Specialist will lead CM/DM processes, ensuring data integrity, compliance, and support for decision-making in engineering projects.

Lead complex data science workstreams across retail, developing analytical frameworks, predictive models, and strategic insights. Partner with senior stakeholders, present findings, ensure analytical quality, mentor junior data scientists, and collaborate with engineers, consultants, and business teams. Apply statistical methods, machine learning, cloud analytics, big data technologies, and Generative AI to solve business problems and improve analytical processes.

Design and deliver data science and analytics solutions for Woolworths Group retail challenges. Responsibilities include framing problems, implementing analytical workstreams, managing stakeholder relationships, translating technical insights into actionable recommendations, maintaining quality standards, and advancing analytical methodologies. The role requires strong programming, querying, statistical, machine learning, communication, and commercial problem-solving skills.

Serve as a trusted advisor for complex consulting engagements in Data Management. Lead solution scoping, architecture, feasibility assessment, design assurance, and implementation alignment with SimCorp standards. Own global consulting practice artifacts, improve methodologies, document best practices, enable consultants, and mentor aspiring architects. Collaborate with Sales, Product Management, Value Streams, project teams, and senior clients to resolve domain challenges and influence strategic architecture decisions.

Wayvia is building a talent pipeline for engineering roles focusing on backend systems, data pipelines, and product engineering. They seek curious and collaborative engineers to connect with and solve future challenges.

Designs, develops, and maintains secure enterprise data pipelines and ETL/ELT processes integrating government and commercial systems. Ensures data quality, performance, availability, and real-time delivery for logistics, mission support, analytics, and operational decision-making. Responsibilities include database and pipeline optimization, cloud migration support, technical documentation, cybersecurity and governance compliance, troubleshooting, stakeholder coordination, operational exercise support, and mentoring junior personnel.

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.

Migrate SQL Server data products and analytical workloads to a modern cloud platform. Redesign legacy SQL, ETL processes, and business logic; build scalable pipelines and analytical models; validate data quality; collaborate with stakeholders; and improve platform reliability, performance, cost efficiency, and AI-assisted data engineering automation.

Consulting role to identify, design and implement AI-enabled solutions across Dynamics 365, Power Platform, SharePoint and Microsoft 365. Lead AI strategy, run discovery workshops, design Copilot and generative-AI integrations, support PoCs and advise on AI governance and adoption alongside project teams.

Architect and deliver scalable AWS data platforms and lead solution design across Databricks and Snowflake. Define data modelling standards and engineering best practices, oversee transformations (dbt, PySpark, SQL), implement governance and lineage, design streaming solutions, mentor delivery teams, and contribute to pre-sales and commercial activities.

Contribute to AI-powered product features by designing solutions, building data pipelines and LLM-based enrichment, evaluating models and experiments, and collaborating with engineers and people scientists to deliver measurable customer value.

Lead architecture and delivery of scalable AWS cloud data platforms using Databricks or Snowflake. Define modelling standards, enforce engineering best practices (CI/CD, testing), oversee ETL/transformations (dbt, PySpark, SQL), drive governance and lineage, advise on tooling and presales, and mentor delivery teams.

Lead technical design and delivery of scalable AWS-based data platforms, oversee Databricks/Snowflake solutions, enforce engineering best practices (CI/CD, testing), drive data modelling, transformation (dbt, PySpark, SQL), governance and streaming architectures, mentor teams, and support pre-sales and platform/tooling decisions.

Perform accurate entry, management and collation of technical laboratory data; provide administration, reception and laboratory support; communicate results to clients and internal teams; meet deadlines under high sample volumes and tight turnaround times.

Serve as the primary liaison between Data Office leadership and project technical teams to coordinate requirements, track data-related dependencies, risks, and issues, promote adherence to Data Office standards, support onboarding and governance, and maintain visibility and reporting on data-related project activity.

Design, deploy, and maintain AWS and Databricks data infrastructure, data lakes, and scalable ETL pipelines. Build custom ingestion services and connectors using Airbyte, Go, and Python; optimize performance, reliability, monitoring, and data quality. Implement cloud data governance, security, access controls, encryption, and compliance practices while collaborating with platform engineers, analysts, and stakeholders.

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.

Lead regional civil, structural and architectural design for APAC data center projects. Own the full design lifecycle, set standards and KPIs, coordinate multidisciplinary teams and consultants, support procurement and delivery, promote BIM/modular/low-carbon approaches, mentor regional teams, and manage design risks, cost and schedule impacts.

Lead strategic business growth in the data centre sector by influencing specifications, identifying projects and stakeholders, building industry relationships, driving early-stage engagement with owners/consultants/contractors, coordinating with engineering and sales teams, and capturing project data to expand adoption of Victaulic solutions.

Lead design and scaling of real-time data infrastructure. Build fault-tolerant ETL/ELT pipelines, implement Kafka/RabbitMQ streaming, optimize ClickHouse schemas and queries, deploy secure cloud data services, mentor engineers, and implement monitoring and automated recovery for financial analytics.

Develop, deploy, and maintain LLM pipelines and RAG QA/search systems; design and optimize prompts and multi-agent LLM architectures; operate multi‑GPU/cluster inference; build evaluation pipelines for model quality, bias, and hallucination; collaborate with product and CS teams to integrate conversational AI.

Design, build, and manage large-scale search and content recommendation systems using machine learning and personalization techniques. Collaborate with content, product, and business teams to define success metrics, drive AI product improvements, and maximize content value and user impact.

Provide configuration and technical data management services: version control, baselining, governance of engineering artefacts. Ensure lifecycle and audit compliance, use CM tools and processes, and share knowledge with customers and stakeholders.

Own commercial strategy and operations for enterprise pharma and AI accounts: drive pilots-to-revenue, account expansion, pipeline management, pricing, forecasting, and deal strategy. Build cross-functional relationships, push deals through legal/procurement/IT, act as CEO counterpart to shape strategy and product roadmap, and be highly present in person with customers and at conferences.