Data Engineer

18 hours ago

Perth, Western Australia Professional Search Group Full time $120,000 - $130,000 per year

Job Description

Job Title: Data Engineer
Location: Perth, WA (Hybrid)
Salary: $120-130k + Super

About the Role


My client is seeking a Data Engineer to be at the core of an evolving data and analytics ecosystem supporting a major transport infrastructure hub. You'll design, build, and optimise scalable data pipelines on Azure/Microsoft Fabric to power reporting, decision-making, and future AI initiatives. The role partners closely with business stakeholders and project teams to ensure data assets are reliable, secure, and aligned to enterprise architecture and governance standards.

Responsibilities

Design, implement, and optimise robust, highly available data pipelines and integrations. Apply best practice engineering patterns across an Azure-based Data & Integration Platform (ELT/ETL, transformation, orchestration). Implement and uphold data governance: data quality rules, access controls (RBAC), metadata/catalogue, lineage, and compliance.Maintain platform reliability, scalability, and security; contribute to platform roadmap in line with enterprise architecture goals.Proactively monitor and support pipelines (incident/change processes), troubleshoot issues, and improve system resilience.Act as a technical leader within the technology function; identify and drive process and tooling enhancements.Stay current with industry trends, emerging tech, and best practices to improve engineering effectiveness.Produce clear technical documentation and collaborate with cross-functional teams to translate needs into data solutions.

Skills & Experience

3+ years' experience in data engineering; exposure to operational asset data and customer data structuring is ideal. Proficiency with Python and SQL (R advantageous); strong understanding of data formats (JSON, XML, YAML) and APIs/protocols. Hands-on experience with Azure data services (e.g., Azure SQL, Azure Integration Services/Azure Data Factory, Microsoft Fabric) and Power BI data modelling. Solid knowledge of databases and storage (relational, NoSQL, lake/Blob). Practical data modelling experience (Kimball, Inmon, Data Vault) and semantic modelling.Familiarity with security frameworks (RBAC, encryption standards) and platform hardening.Understanding of modern analytics/AI workflows; experience with ITIL, Agile, and DevOps ways of working. Strong analytical/problem-solving skills with a track record of troubleshooting and performance optimisation.Excellent communication skills: able to convey complex concepts to non-technical stakeholders and collaborate across teams.

If you're interested, please email

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