Data Engineer

• Define detailed technical solutions and manage technical delivery of the onshore and offshore data engineering team
• Design, build, and maintain scalable data engineering frameworks using Azure Databricks for data ingestion, curation, and transformation
• Lead data migration from legacy on-premises data warehouse systems to Azure Databricks solutions
• Perform data modelling, ETL automation, DevOps, data quality, data security, and performance optimization using Azure cloud best practices
• Collaborate with business, analytics, IT teams, and vendors to align data engineering efforts with business priorities
• Mentor and support data engineers and analysts in engineering best practices and Azure Databricks skills
• Report to the Head of Data Platforms and Analytics

Technical Lead – Data Engineering

• Build and operate ingestion into the bronze layer, including source integrations, CDC feeds and third-party APIs
• Handle schema evolution, backfills and replay
• Own orchestration workflows, including scheduling, dependencies, retries, alerting and dataset SLAs
• Harden CI/CD through trunk-based development, pull-request checks, deployment-gating tests and clean environment promotion
• Govern the platform through grants, lineage, tagging, row-level and column-level security, and safe external data sharing
• Own cost and performance by right-sizing warehouses and clusters and tuning partitioning, clustering and incremental strategies
• Build data quality and observability, including freshness, volume and schema checks, break alerting and root-cause analysis
• Make the platform self-serve for analysts and data scientists
• Collaborate with analytics and data science teams whose models and dashboards depend on the platform
• Leverage AI tooling to expedite development, testing, migration and review

Data Platform Engineer

• Design scalable data platforms, pipelines, integration and analytics solutions
• Work across modern cloud technologies including Databricks, Snowflake and the Microsoft/Azure ecosystem
• Translate complex business requirements into clear technical solutions
• Guide and mentor consultants and contribute to a strong engineering culture
• Build trusted relationships with technical and business stakeholders
• Identify opportunities to create additional value for clients
• Contribute to proposals and solution shaping
• Work across varied and challenging Data & AI engagements

Managing Consultant – Data Engineer

• Design scalable data platforms, pipelines, integration and analytics solutions
• Work across Databricks, Snowflake and the Microsoft/Azure ecosystem
• Translate complex business requirements into clear technical solutions
• Guide and mentor consultants
• Contribute to a strong engineering culture
• Build trusted relationships with technical and business stakeholders
• Identify opportunities to create additional value for clients
• Contribute to proposals and solution shaping
• Deliver Data & AI consulting engagements

Senior Managing Consultant – Data Engineer, Databricks

• Design, build, test and deploy scalable data solutions across the full engineering development lifecycle
• Lead engineering initiatives and coordinate delivery across data, platform, operations and observability teams
• Review solution designs and architectures and provide practical guidance aligned with engineering standards and strategy
• Contribute to technical governance covering architecture, implementation, risk and adoption
• Support engineers through complex technical challenges and mentor them to build capability
• Develop secure, maintainable and production-ready data pipelines and data products
• Partner with technical and business stakeholders to understand requirements, assess technical data solutions and deliver outcomes
• Contribute to engineering recruitment, including technical interviews and consistent application of hiring standards
• Uplift data engineering resource capabilities
• Contribute to using GenAI to improve ways of working, data analytics, insights and productivity
• Support modernisation of the data domain and evolution of Big Data AWS-based platforms with increased Snowflake and dbt adoption

Data Engineer jobs in Australia

Technical Lead – Data Engineering

Data Platform Engineer

Managing Consultant – Data Engineer

Senior Managing Consultant – Data Engineer, Databricks

Staff Data Engineer, Big Data, AWS, Snowflake