Senior Data Platform Engineer: Microsoft Fabric & Pipelines

Perth Airport; Alpha; On-site; AUD 140,000 - 190,000; Full time

Job summary

Perth Airport is hiring a Data Platform Engineer to maintain and evolve its Microsoft Fabric Data Platform, ensuring stability, reliability, scalability and security for analytics, reporting and APIs.

You will design and optimise data pipelines, collaborate with analytics, engineering and business teams, implement data governance practices and monitor costs and performance to maximise efficiency.

Qualifications

• 7+ years designing, building and managing data platforms and data product workloads.
• Strong Python, SQL and cloud-native data integration skills.
• Experience with Microsoft Fabric + Data Engineering/Data Science workloads.
• Knowledge of data governance, metadata management and data quality frameworks.
• Experience in Agile, ITIL and DevOps practices.

Responsibilities

• Oversee operation, optimisation and security of the Microsoft Fabric Data Platform.
• Design, manage and optimise data pipelines, storage and compute for analytics, reporting and APIs.
• Collaborate with analysts, engineers, business teams and vendors to improve data delivery.
• Implement standards for data quality, governance, documentation and access control.
• Monitor system health, costs and performance; apply improvements for efficiency.
• Provide training and support to strengthen data literacy and self-service.
• Ensure compliance with WHS and data governance requirements.

Skills

Python

SQL

Cloud-native data integration

Microsoft Fabric

Data engineering workloads

Agile

ITIL

DevOps

Data governance

Communication skills

Problem-solving

Education

Relevant tertiary qualification or equivalent experience

Tools

Microsoft Fabric

Job description

Perth Airport is hiring a Data Platform Engineer to maintain and evolve its Microsoft Fabric Data Platform, ensuring stability, reliability, scalability and security for analytics, reporting and APIs.

You will design and optimise data pipelines, collaborate with analytics, engineering and business teams, implement data governance practices and monitor costs and performance to maximise efficiency.