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Senior Business Intelligence Engineer

pwc · Cairo - ETIC

Senior 🇬🇧 English
Power BI Metabase SQL Presto PostgreSQL Hive Medallion architecture AWS Azure Data Factory Apache Hadoop Data Lake Data Modeling Data Pipeline Data Integration Data Quality Data Transformation Data Validation Database Administration Database Optimization Database Security Best Practices Data Engineering Data Infrastructure Data Visualization

Job description

About the role

We are looking for a Senior Business Intelligence Engineer to design and deliver advanced BI solutions that provide deep insights into banking performance and key metrics. The role will focus on creating interactive dashboards, optimizing data visualisation, and ensuring data governance across large-scale banking datasets.

Key responsibilities

  • Develop interactive, visually appealing dashboards using Power BI and Metabase, tailored to banking KPIs such as delinquency rates and collection efficiency.
  • Collaborate with data engineering teams to secure seamless access to well-structured datasets and maintain data pipelines.
  • Optimize dashboard and report performance to efficiently handle large banking data volumes.
  • Ensure BI solutions comply with organisational standards for data security, governance, and regulatory compliance.
  • Proactively identify and resolve issues related to data visualisation, reporting workflows, and data quality.

Required profile

  • Minimum 4 years of experience in BI development, preferably within the banking sector focusing on collections and loans.
  • Strong understanding of banking metrics such as delinquency rates, collection efficiency, and loan portfolio health.
  • Demonstrated ability to work with large datasets and translate business requirements into actionable visual insights.

Required skills

  • Power BI
  • Metabase
  • Advanced SQL (Presto, PostgreSQL, Hive)
  • Medallion architecture and data-visualisation best practices
  • Amazon Web Services (AWS)
  • Azure Data Factory
  • Apache Hadoop
  • Data Lake, Data Modeling, Data Pipeline, Data Integration
  • Data Quality, Data Transformation, Data Validation
  • Database Administration, Optimization, and Security Best Practices
  • Data Engineering and Data Infrastructure

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Source : ats:workday

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Published 1 month ago

Expires 4 weeks from now

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pwc

Cairo - ETIC