" \u003cdiv class=\"ja-job-details\"\u003e \u003ch2 class=\"title\"\u003eSenior Data Engineer\u003c/h2\u003e \u003cdiv class=\"meta\"\u003e \u003cul class=\"classifications\"\u003e \u003cli data-id=\"13549\"\u003e IT \u0026amp; Telecomms \u003c/li\u003e \u003cli data-id=\"13550\"\u003e IT - Other \u003c/li\u003e \u003cli data-id=\"13551\"\u003e Sydney \u003c/li\u003e \u003cli data-id=\"13552\"\u003e Contract or Temp \u003c/li\u003e \u003c/ul\u003e \u003cp class=\"date-posted\"\u003e 6/11/2026 \u003c/p\u003e \u003c/div\u003e \u003cul class=\"bullet-points\"\u003e \u003cli\u003eSydney hybrid flexible work\u003c/li\u003e \u003cli\u003eInitial 12 months contract with scope to extend\u003c/li\u003e \u003cli\u003eWork on large scale enterprise data and AI initiatives\u003c/li\u003e \u003c/ul\u003e \u003cdiv class=\"description\"\u003e \u003cstrong\u003eSenior Data Engineer ( BigQuery / dbt / Python )\u003c/strong\u003e\u003cbr\u003e \u003cstrong\u003eSydney | Hybrid\u003c/strong\u003e\u003cbr\u003e \u003cstrong\u003eInitial 12 months contract, scope to extend\u003c/strong\u003e\u003cbr\u003e \u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u0026nbsp;\u003cbr\u003e \u003cul\u003e \u003cli\u003eWork on large-scale enterprise data modernisation and AI initiatives.\u003c/li\u003e \u003cli\u003eBuild scalable data pipelines and curated data products within a modern cloud environment.\u003c/li\u003e \u003cli\u003eOpportunity to make a significant impact on enterprise data architecture and engineering practices.\u003c/li\u003e \u003c/ul\u003e \u0026nbsp;\u0026nbsp;\u003cbr\u003e \u003cstrong\u003eThe Opportunity\u003c/strong\u003e\u003cbr\u003e We are seeking an experienced Senior Data Engineer to join a high-performing engineering team working across large-scale data and AI initiatives.\u003cbr\u003e You will take ownership of the curated data pipeline layer within a Google Cloud Platform (GCP) environment, working with raw data and event streams to build robust, scalable transformation pipelines, semantic layers and curated data products.\u003cbr\u003e These data foundations will support operational dashboards, enterprise reporting, advanced analytics and production machine learning models.\u003cbr\u003e A key focus of the role will be modernising legacy data environments, transitioning siloed data assets into automated, scalable architectures and establishing the foundations for emerging Generative AI capabilities.\u003cbr\u003e \u0026nbsp;\u0026nbsp;\u003cbr\u003e \u0026nbsp;\u0026nbsp;\u003cbr\u003e \u003cstrong\u003eKey Responsibilities\u003c/strong\u003e\u003cbr\u003e \u003cul\u003e \u003cli\u003e\u003cstrong\u003eArchitect Scalable Data Pipelines:\u003c/strong\u003e Design, build and optimise high-throughput data transformation pipelines using BigQuery, Cloud Composer / Airflow and Vertex AI Pipelines.\u003c/li\u003e \u003cli\u003e\u003cstrong\u003eModernise Legacy Data Foundations:\u003c/strong\u003e Refactor and migrate legacy cloud data projects into modern, centrally governed architectures while maintaining downstream stability.\u003c/li\u003e \u003cli\u003e\u003cstrong\u003eBuild Curated Data Products:\u003c/strong\u003e Develop modular datasets, domain-oriented data products and semantic layers using dbt Core or similar frameworks.\u003c/li\u003e \u003cli\u003e\u003cstrong\u003eAI-Augmented Engineering:\u003c/strong\u003e Leverage modern AI coding assistants and implement automated testing frameworks, data contracts, unit testing and schema drift monitoring.\u003c/li\u003e \u003cli\u003e\u003cstrong\u003eCross-Functional Collaboration:\u003c/strong\u003e Work closely with platform teams, data scientists, ML engineers, BI analysts and business stakeholders to deliver scalable data solutions.\u003c/li\u003e \u003cli\u003e\u003cstrong\u003eOperational Excellence:\u003c/strong\u003e Lead post-deployment support, ensure system reliability and provide effective technical documentation and handovers.\u003c/li\u003e \u003c/ul\u003e \u0026nbsp;\u0026nbsp;\u003cbr\u003e \u003cstrong\u003eWhat We\u0027re Looking For\u003c/strong\u003e\u003cbr\u003e \u003cul\u003e \u003cli\u003e5+ years of commercial Data Engineering or Software Engineering experience.\u003c/li\u003e \u003cli\u003eStrong hands-on Python, SQL and Linux skills.\u003c/li\u003e \u003cli\u003eExtensive experience with cloud data platforms, ideally GCP and BigQuery, or equivalent platforms such as Snowflake or Databricks.\u003c/li\u003e \u003cli\u003eStrong experience with dbt Core or similar data transformation frameworks, including modular data modelling, macros and data contracts.\u003c/li\u003e \u003cli\u003eExperience building and managing production workflows using Apache Airflow, Cloud Composer or equivalent orchestration tools.\u003c/li\u003e \u003cli\u003eExperience modernising legacy data warehouse environments and managing complex schema migrations.\u003c/li\u003e \u003cli\u003eFamiliarity with AI developer tools such as Claude Code and GitHub Copilot to accelerate development, refactoring and testing.\u003c/li\u003e \u003cli\u003eStrong understanding of Git, CI/CD pipelines, GitHub Actions, Docker and automated data quality testing.\u003c/li\u003e \u003cli\u003eExcellent stakeholder management and communication skills, with the ability to manage competing priorities.\u003c/li\u003e \u003c/ul\u003e \u0026nbsp;\u0026nbsp;\u003cbr\u003e \u003cstrong\u003eHighly Desirable\u003c/strong\u003e\u003cbr\u003e \u003cul\u003e \u003cli\u003eExperience preparing governed data structures, semantic layers and APIs for Generative AI applications and automated analytics agents.\u003c/li\u003e \u003cli\u003eExposure to event-driven data streaming technologies such as Google Pub/Sub, Kafka or Dataflow.\u003c/li\u003e \u003cli\u003eFamiliarity with enterprise data governance and cataloguing tools such as Collibra.\u003c/li\u003e \u003cli\u003eExperience working within retail, supply chain or e-commerce environments.\u003c/li\u003e \u003c/ul\u003e If you\u0027re a Senior Data Engineer who enjoys solving complex data engineering challenges, modernising legacy platforms and working at the intersection of data and AI, we\u0027d love to hear from you.\u003cbr\u003e \u0026nbsp;\u0026nbsp; \u003c/div\u003e \u003cdiv class=\"apply\"\u003e \u003ca class=\"back-link\" href=\"#\" title=\"Back to search results\"\u003eBack to search results\u003c/a\u003e \u003cinput type=\"button\" class=\"ja-button\" data-job-id=\"4484369\" value=\"Apply Now\" title=\"Apply Now\" /\u003e \u003c/div\u003e \u003c/div\u003e "