Top Data Jobs in Sydney

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.

Serve as the primary technical interface for data centre cooling, leading chilled water and liquid cooling solution design, technical pricing, and bid management. Influence early-stage design, ensure performance and resilience, develop cost models and value-engineered proposals, and align cross-functional stakeholders to win complex thermal infrastructure projects.

Lead data-driven strategy and growth initiatives by solving ambiguous problems, partnering with cross-functional leaders, building revenue and impact models, enabling data-driven decisions, and communicating actionable insights to influence company-wide goals.

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.

Interns will work alongside analysts, collecting and cleaning sports data, analyzing trends, and gaining insights into the sports consultancy industry.

Embed with strategic customers to deploy and operate VAST's distributed storage for large-scale AI/HPC workloads: troubleshoot performance, write code and automation, collaborate with customer engineers, and translate operational requirements into product improvements.

Support the Data Products team to define and deliver data-driven products and an intelligence layer. Collaborate with engineering, data and commercial teams to shape roadmap, drive discovery, delivery, adoption, and continuous improvement of scalable data solutions that create customer and business value.

Build, maintain and scale production data pipelines and platforms on GCP (BigQuery, Dataflow, Cloud Storage). Improve data quality, observability, governance and self-service capabilities; partner with engineers, analysts and product teams to design data models and datasets that inform business decisions.

Lead analytics to improve player experience, engagement, retention, and monetization. Analyze player lifecycle, run cohort and funnel analyses, design and evaluate A/B tests, build dashboards, define product metrics, investigate KPI changes, and partner with product, marketing, engineering, and data teams to deliver data-driven recommendations and improve data quality.

The Engineering Lead will oversee the APAC Data Engineering Platform team, responsible for developing a scalable data platform, leading team development, collaborating with stakeholders, and ensuring high engineering standards.

Build and productionize ML systems for personalization, search, and recommendations. Apply statistical and ML models using Python and SQL, collaborate with stakeholders, and measure business impact across cloud environments.

Lead data-driven product decisions for Canva's Video Group by designing and analysing experiments, building dashboards and reports on performance and adoption, collaborating with Product/Design/Engineering, and turning insights into strategic recommendations to improve video creation UX, retention, and feature health.

Design, build and operate scalable Lakehouse data platform and batch/real-time pipelines. Develop data assets, streaming solutions (Kafka/Flink), ETL/ELT workflows (Airflow, DBT), and cloud-native architectures on AWS, Snowflake and Databricks. Optimize SQL and Spark workloads, manage schema and performance for Iceberg tables, enforce data quality and governance, and partner with data science, analytics and product teams to deliver cost-efficient, reliable data solutions.

Design, build, and operate scalable batch and real-time data pipelines and Lakehouse data assets using AWS, Snowflake, Databricks, Kafka, and Flink. Collaborate with data science, analytics, and product teams to ensure data quality, modelling, governance, performance, and cost-efficiency.

Lead advanced analytics and ML projects: perform EDA, feature engineering, statistical modeling, and build/optimize production ML and Generative AI solutions (LLMs, embeddings, RAG). Collaborate with engineering and MLOps to deploy and monitor models, create visualizations and dashboards, translate insights for stakeholders, and mentor junior team members.

Lead Finance-embedded data science and analytics teams to own metric governance, single source of truth, data models and pipelines (DBT/Snowflake), Anaplan feeds, data quality with Accounting/Tax/IR, and introduce AI/automation to finance processes while partnering closely with the CFO.

Lead renewable energy and cleantech strategy across APAC, originating and negotiating PPAs and utility agreements. Develop behind-the-meter campus energy solutions (solar, wind, BESS, hydrogen, microgrids), manage grid and utility relations, and drive project delivery from development through commercial operation while aligning energy strategy with growth, sustainability and customer needs.

Lead administration and development of Salesforce NPSP, Marketing Cloud and related supporter systems. Build automations and integrations, manage data governance, support campaign delivery, train users, and improve system reliability and usability.

Design and lead a cloud-agnostic enterprise data ingestion framework: author solution designs, build and optimize batch/streaming pipelines, embed data quality/lineage/security, and guide engineering squads for scalable multi-cloud data platforms.

Drive commercial growth and technical success of Chromeleon CDS across Australia and New Zealand. Combine sales, solution design, demonstrations, implementation support, and customer success to grow software adoption, coordinate deployments, and act as technical escalation for complex enquiries.

Perform data extraction, ETL, modelling and dashboarding to generate actionable insights for Financial Advisory clients. Collaborate with stakeholders to translate requirements, automate reports and simulate processes using Power BI, Alteryx, SQL or Python. Engage senior leaders, support team strategy, and deliver scalable analytics solutions across projects.

Research and verify contact information for evangelical megachurches across the U.S.; collect and maintain structured databases in Excel/Sheets/CRM; identify decision-makers; ensure data accuracy and formatting; remove duplicates; categorize records; produce progress reports and support outreach preparation.

The role involves strategic data leadership, defining measurement strategies for productivity, leading experimentation, coaching teams, and identifying growth opportunities in product development.

Hands-on data engineer to re-engineer and optimise dbt models and Snowflake data warehouses. Responsibilities include schema design, performance tuning, domain-aligned modelling, CI/CD, testing, documentation, and collaborating with client teams and consulting peers to deliver maintainable pipelines.

Deliver and own operational reporting, dashboards and ad-hoc analysis using governed data. Partner with stakeholders to translate business questions into insights, ensure data quality, documentation, and apply data governance in an Agile environment.