Senior Data Engineer
Permanent Senior Data Engineer role in Western Australia: designing, building, and maintaining scalable ETL/ELT pipelines and Microsoft Fabric data solutions (data pipelines, orchestration workflows, Lakehouse) that support enterprise BI, reporting, and data modernisation. Core stack: SQL, Python/PowerShell, cloud data platforms.
- Compensation
- Not disclosed
- Location
- Western Australia, Australia
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Full time
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Strong expertise in SQL, including data modelling, query optimisation, ETL/ELT development, and relational database design
- Hands-on experience with Microsoft Fabric, cloud data platforms, data migration projects, and data orchestration frameworks
- Proficiency in Python, PowerShell, or similar scripting languages for automation and platform management
Nice to have
- Dimensional modelling, data warehousing, star schema design, and trusted dataset development
- Production support, platform maintenance, monitoring, and troubleshooting within enterprise data environments
- Experience developing real-time or near real-time data solutions
- Knowledge of cloud-first architectures and data platform modernisation strategies
- Strong stakeholder engagement and requirements gathering capabilities
Full description
- Build cloud data platforms with Microsoft Fabric
- Drive data modernisation and business insights
Senior Data Engineer
- Permanent position
- Build cloud data platforms with Microsoft Fabric
- Drive data modernisation and business insights
We are seeking an experienced Senior Data Engineer to join a growing data and analytics team. In this role, you will be responsible for designing, building, and maintaining scalable data solutions that support business intelligence, operational reporting, and strategic decision-making.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines to support enterprise reporting and analytics requirements.
- Build and optimise Microsoft Fabric data solutions, including data pipelines, orchestration workflows, and Lakehouse architectures.
- Collaborate with stakeholders to gather requirements and translate business needs into robust, data-driven solutions.
- Support production data platforms through monitoring, troubleshooting, performance tuning, and continuous improvement initiatives.
- Develop and maintain integrated datasets by leveraging API integrations, cloud services, and modern data engineering best practices.
Skills & Experience
- Strong expertise in SQL, including data modelling, query optimisation, ETL/ELT development, and relational database design.
- Hands‑on experience with Microsoft Fabric, cloud data platforms, data migration projects, and data orchestration frameworks.
- Proficiency in Python, PowerShell, or similar scripting languages for automation and platform management.
Desirable Experience
- Dimensional modelling, data warehousing, star schema design, and trusted dataset development.
- Production support, platform maintenance, monitoring, and troubleshooting within enterprise data environments.
- Experience developing real‑time or near real‑time data solutions.
- Knowledge of cloud‑first architectures and data platform modernisation strategies.
- Strong stakeholder engagement and requirements gathering capabilities.
Peoplebank and Leaders IT are committed to creating a diverse and inclusive workplace where everyone belongs. We welcome applications from people of all backgrounds, identities, and experiences. If you need adjustments to the recruitment process due to your circumstances, please let us know—we’re here to support you.