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Strong Tier-1 brand, metro location, and a broadly appealing senior data engineer role drive high applicant competition.
Requires Azure and Power Platform expertise which is transferable but somewhat platform-specific, so medium sensitivity.
Explicit 7–10 years plus mandatory Power Platform and Azure skills enforce high shortlisting strictness.
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Design and deliver enterprise Power BI dashboards and reports, transforming complex data into actionable business insights.
Develop scalable data models and pipelines using Azure ecosystem services to enable real-time and self-service analytics.
Lead development of low-code applications using Power Apps and Power Automate, integrating with enterprise systems and ensuring data governance and security.
7-10 years of experience in data engineering and enterprise analytics.
Strong expertise in Power BI (Dashboard, DAX, Power Query), data modelling, and data visualisation.
Experience with Dataverse, Power Apps, Power Automate, SQL, and Azure data services (Azure SQL, Data Lake, Synapse/Fabric, Data Factory).
Bachelor’s degree in IT/Computer Science Engineering or related field.
Proven ability to design and manage enterprise-scale analytics architectures and data governance implementations.
Experienced in developing and deploying data-driven decision support systems with performance tuning of large-scale reports and datasets.
Skilled in building integrated low-code solutions within Microsoft Power Platform and Azure ecosystems for business workflows and analytics.