Data Engineering Lead: Microsoft Fabric & Azure Analytics

Spectra Recruitment; Brisbane; Presencial; AUD 180.000 - 240.000; Jornada completa

Descripción de la vacante

Wipro Limited seeks a Data Engineering Lead with MS Fabric to own end-to-end data platform initiatives, governance, and strategy. The role focuses on integrating data across systems, modernizing Fabric and Azure components, and delivering scalable BI-driven insights.

You will guide engineers, collaborate with stakeholders, and drive data-driven transformation across the organization. The position emphasizes governance, performance optimization, and enterprise-wide analytics, reporting, and

Formación

• 8–10 years of data engineering experience.
• Strong expertise in Microsoft Fabric, Azure Synapse, and BI tooling.
• Experience with Informatica, APIs, and ETL/ELT pipelines.
• Excellent stakeholder collaboration and governance skills.

Responsabilidades

• Own enterprise data platform strategy, architecture, governance, and roadmap.
• Lead modernization of Azure Data Lake, Synapse, and Microsoft Fabric environments.
• Ensure scalable, secure, and cost-effective data engineering solutions.
• Define enterprise data standards, data quality frameworks, and metadata management practices.
• Support advanced analytics, reporting, AI, and business intelligence initiatives.
• Lead/mentor Data Engineers and coordinate with stakeholders.

Conocimientos

Microsoft Fabric

Azure Synapse

Power BI

ETL/ELT

Herramientas

Informatica

Azure Integration Services

Nintex

UiPath

GitHub

APIs & event-driven integrations

Descripción del empleo

Wipro Limited seeks a Data Engineering Lead with MS Fabric to own end-to-end data platform initiatives, governance, and strategy. The role focuses on integrating data across systems, modernizing Fabric and Azure components, and delivering scalable BI-driven insights.

You will guide engineers, collaborate with stakeholders, and drive data-driven transformation across the organization. The position emphasizes governance, performance optimization, and enterprise-wide analytics, reporting, and