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Mid-level Data Engineer in Bangalore with broad BI and DE skills attracts many qualified applicants.
Core data engineering skills transfer across industries, though regulated-finance experience provides some domain specificity.
Explicit 5+ years requirement plus mandatory SQL, Synapse and Power BI increases filtering strictness.
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Own end-to-end data pipelines from source systems to business reports and insights, ensuring reliable and trustworthy data delivery.
Build and maintain Power BI semantic models and reports to support self-serve analytics and data accessibility via AI-driven natural language querying.
Operate and support core recurring data processes and tooling on platforms including Power BI and Azure Synapse Analytics to ensure continuous data platform availability and accuracy.
5+ years of experience in Data Engineering or Business Intelligence roles.
Proficiency in SQL, Azure Synapse (or Azure Data Factory), and Power BI.
Experience working UK business hours with English fluency.
Experience in a regulated industry (financial services, healthcare) with compliance and audit requirements.
Experienced in both data engineering and BI with a hands-on, autonomous working style managing critical data flows and reports.
Skilled at enabling business users through self-service BI, training, and natural language data access capabilities.
Comfortable working in regulated environments where data accuracy, audit trails, and report deadlines are prioritized.