The Company:Our client is a well-established and highly respected organisation with a history spanning more than 70 years.
Through continued growth, innovation and investment in technology, they have built a strong reputation for delivering exceptional outcomes while maintaining a collaborative and people-focused culture.As part of a significant investment in data and analytics capabilities, the organisation is expanding its technology team and is seeking experienced Senior Data Engineers to help shape and deliver the future of its enterprise data platform.This is an opportunity to work on meaningful projects, influence technical direction and contribute to the evolution of a modern cloud-based data workplace.We Offer:Competitive salary packageStable and secure long-term career opportunityHybrid working arrangementsOpportunity to influence data platform strategy and architectureExposure to modern cloud technologies and engineering practicesSupportive and collaborative team environmentOngoing professional development opportunitiesAccess to employee discounts and benefitsThe Role:We are seeking an experienced Senior Data Engineer to play a key role in the design, development and ongoing evolution of our enterprise data platform.This position is responsible for building and maintaining scalable data pipelines, delivering high-quality analytics datasets and driving best practices across data engineering, governance and platform operations.
You will work closely with business stakeholders, analytics teams, data scientists and software engineers to ensure data is trusted, accessible and able to support business decision-making.The successful candidate will bring strong hands‐on Google Cloud Platform (GCP) experience and demonstrated ownership of enterprise‐scale data platforms.
This role requires a blend of technical expertise,



platform thinking and a commitment to engineering excellence.Key Responsibilities:Help own and evolve the enterprise data platform and engineering standardsDesign, build and maintain scalable batch and streaming data pipelinesDevelop and optimise enterprise analytics datasets and data productsDesign and support cloud‐native data solutions within Google Cloud PlatformContribute to the architecture, governance and continuous improvement of the enterprise data platformBuild and maintain ELT/ETL processes using modern data engineering tools and frameworksDevelop and maintain data models that support reporting, analytics and business intelligence requirementsImplement and maintain data quality, testing and monitoring frameworksContribute to CI/CD pipelines and Infrastructure‐as‐Code practicesOptimise platform performance, reliability, security and cost managementCollaborate with business stakeholders and technical teams to understand and deliver data requirementsSupport platform governance, lineage, observability and compliance initiativesMentor team members and contribute to engineering standards and best practicesKey Criteria:Minimum 7 years' commercial experience as a Senior Data Engineer, Lead Data Engineer or Data Platform EngineerBachelor's degree in Computer Science, Information Systems, Data Engineering,Analytics or a related disciplineDemonstrated experience designing,



building and supporting enterprise‐scale data platforms within Google Cloud Platform (GCP)Strong experience with BigQuery and Google Cloud‐native data architecturesProven experience building scalable batch and streaming data solutions using:- BigQuery- Cloud Storage- Dataform or dbt- Cloud Composer (Airflow)- Dataflow- Pub/Sub- Cloud RunStrong experience developing and productionising ELT pipelines and analytics datasetsExperience establishing and maintaining engineering standards including code reviews, testing, CI/CD and governance frameworksStrong SQL skills including performance optimisation, partitioning, clustering and query tuningAdvanced Python skills for data engineering and automationStrong experience with dimensional modelling, Data Vault modelling and enterprise data architecture principlesExperience implementing data quality frameworks, monitoring and observability solutionsStrong understanding of security, governance, lineage, reliability and cost optimisation within cloud platformsExperience with Git, CI/CD pipelines and Infrastructure‐as‐Code tools such as TerraformExperience working collaboratively across technical and business teamsHighly Desirable:Experience within Insurance, Financial Services or Banking environmentsExperience leading platform modernisation or cloud migration initiativesExperience with Looker and LookML semantic modellingExperience with Microsoft Azure, Databricks, Snowflake or AWS environmentsGoogle Cloud certificationsExperience with Microsoft Power BITechnology Stack:Google Cloud Platform (GCP)BigQueryCloud StorageDataform / dbtCloud Composer (Airflow)DataflowPub/SubCloud RunLooker / LookMLPythonSQLGitTerraformCI/CD ToolingPlease note: A criminal background check and written technical assessment will form part of the recruitment process.Agency Notice: JLG do not accept unsolicited resumes or candidate profiles from recruitment agencies.
Please do not forward resumes to hiring managers, or any other company employees.
JLG are not responsible for any fees related to unsolicited resumes
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📌 Senior Data Platform Engineer (Gcp) (Melbourne)
🏢 Global 360
📍 Melbourne