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Senior Data Engineer — Enterprise Data Platform Lead
Pacific Life Re is hiring a Senior Data Engineer in London to lead its enterprise data platform within the Divisional Data Team: defining and delivering data pipelines and transformations, building a data warehouse, driving data quality and governance, and mentoring teammates to support internal reporting across geographies.
Data Engineer — Databricks & Cloud Analytics Lead
Data Engineer at Mane Consulting in Sydney supporting day-to-day data and analytics: leading data migration and analytics initiatives using Databricks and Azure, and building datasets and reports for cross-functional teams to guide business decisions.
Azure Data Engineering Lead: Scalable Pipelines & Quality
Technical Lead, Data Engineering at Indigenous Business Australia in Melbourne: designs scalable Azure data pipelines and systems, writes code and builds data workflows, optimizes pipeline performance, and collaborates on data privacy, security and compliance while supporting the Reporting and Analytics Community of Practice.
Azure Data Engineering Tech Lead — Scalable Pipelines & Architecture
Technical Lead for Data Engineering at Indigenous Business Australia, shaping the organisation's data platforms. Day to day you design scalable Azure data pipelines, align technology decisions with architecture, and ensure performance, data quality, privacy and security alongside governance and cyber security teams.
Azure Data Engineering Tech Lead — Pipelines & Security
Technical Lead, Data Engineering at Indigenous Business Australia in Darwin: design and run scalable Azure data pipelines, select technologies with the architecture function, write code, collaborate on privacy and security, lead third-party troubleshooting, and support the Reporting and Analytics Community of Practice.
Azure Data Engineering Lead – Scalable Pipelines & Impact
Technical Lead, Data Engineering at Indigenous Business Australia in Brisbane: designs and builds scalable Azure data pipelines, leads technology choices with Architecture, and writes code, while ensuring data quality, privacy and security, supporting analytics communities, troubleshooting pipelines with third parties, and keeping documentation current.
Azure Data Engineering Lead: Scalable Pipelines & Security
Technical Lead, Data Engineering at Indigenous Business Australia (Canberra): designs scalable Azure data pipelines and systems, writes code and data workflows, supports analytics communities, and ensures data privacy and security while coordinating with third parties on pipeline troubleshooting and incidents.
Lead Data Engineer - Gov Analytics (Azure/Databricks) Canberra
Aurec is hiring a Lead Data Engineer for a Federal Government environment in Canberra, building modern data platforms, ingestion patterns, and analytics pipelines on Azure and Databricks with Power BI reporting. Requires 5+ years' experience, an NV1 clearance, and on-site work in Canberra, ACT.
Technical Lead, Data Engineering (Azure)
Leads data engineering at Indigenous Business Australia (IT team, Sydney): designs scalable Azure data pipelines, writes code and data workflows, tunes performance, and ensures data quality, security and documentation while coordinating troubleshooting with third parties.
Chapter Lead - Cloud Data Engineering & Security
Chapter Lead / Senior Engineering Manager at Commonwealth Bank in Sydney, leading the Group Security Data Engineering team to build a next-generation Security Data Platform on AWS and Snowflake, powering analytics, AI and cyber defence across the bank.
Lead Data Engineer - Azure & Databricks (Hybrid Canberra)
Lead Data Engineer on a long-term contract, hybrid in Canberra: hands-on ETL/ELT pipeline development on Azure (ADF, Databricks, Data Lake) with Spark optimization, sourcing data from Oracle/Ingres/SQL Server, preparing Parquet/Delta data, using Azure DevOps and building Power BI visualisations.
Lead Data Engineer: Production ETL & LLM Pipelines
Firmable in Melbourne is hiring a Lead Data Engineer to design and own end-to-end production ETL and LLM-integrated data pipelines. Day to day this means data sourcing and extraction, ensuring data quality, and building observability and tooling for reliable, scalable business-critical data products.
Data Engineer (Building Platforms)
Sole data engineer at the University of Melbourne designing and owning AWS-first data platforms for OT telemetry and building-asset data across campuses. Builds pipelines, data models and self-service dashboards for smart campus operations using Aurora PostgreSQL, Lambda, IoT Core, SQL, Python and AWS CDK.
Data Engineer (Building Platforms)
Data Engineer at the University of Melbourne's Campus Operations & Delivery team (0.8–1.0 FTE, 12-month fixed term), building AWS-first smart campus data platforms: OT telemetry pipelines, data models, governance and self-service dashboards for building/asset performance. Stack: AWS (Aurora PostgreSQL, Lambda, IoT Core), SQL, Python, AWS CDK.
Lead Data Engineer
Lead Data Engineer owning Firmable's data sourcing and ETL layer: designing end-to-end web extraction pipelines (anti-bot, proxies, JS rendering), running LLM-based extraction as production systems, and orchestrating it all with Airflow. Core stack: Python, SQL, Airflow, LLM evals/tracing; cloud data platforms (Snowflake, AWS) valued.
Big Data Engineering Lead
Big Data Engineering Lead responsible for technical leadership of a Data Foundation platform, building and maintaining enterprise data pipelines, data products, and data services. Core technologies include Python, PySpark, SQL, and ETL/ELT architecture patterns.
Senior Data Engineer — GCP Pipelines & Analytics Lead
Senior data engineer at Bynd Limited who manages and optimizes data delivery on Google Cloud Platform (GCP) for MSP customers, collaborating with delivery teams, documenting processes, and mentoring colleagues. Core stack: GCP, Python, and SQL, with a hybrid work setup in Metro Manila.