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Business Intelligence Engineer

Job in Jeddah, Saudi Arabia
Listing for: AIQU
Full Time position
Listed on 2026-06-11
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 150000 - 200000 SAR Yearly SAR 150000.00 200000.00 YEAR
Job Description & How to Apply Below

We are currently hiring for one of our clients for the below requirement in Jeddah, KSA

Job Details:

Role:
Consultant – BI Engineer

Employment Type:

1 year & extendable contract, outsourced

Work Location:

Jeddah, Kingdom of Saudi Arabia (Onsite)

Notice period:
Immediate joiners to a maximum of 15-30 days of notice

Required Experience:
  • Must have 5+ years of experience as a BI Engineer.
  • Design and maintain LookML models (views, explores, derived tables).
  • Define consistent business metrics, dimensions, and calculations.
  • Implement reusable measures, joins, and aggregate awareness.
  • Optimize semantic models for performance and usability.
  • Align semantic definitions with data engineering and business stakeholders.
  • Design and develop interactive Looker dashboards and reports.
  • Translate business requirements into clear, actionable visualizations.
  • Apply visualization best practices for usability and storytelling.
  • Implement dashboard filters, drill‑downs, and user‑level access.
  • Maintain and enhance existing dashboards based on feedback.
  • Enable business users with the tool to explore data using certified Looker explores.
  • Design user‑friendly semantic models to reduce ad‑hoc SQL dependency.
  • Provide training, demos, and best‑practice guidance to users.
  • Define data governance guardrails for self‑service analytics.
  • Write and optimize complex SQL queries for analytics use cases.
  • Validate data accuracy, aggregations, and business logic.
  • Partner with Data Engineers to optimize tables, partitions, and models.
  • Troubleshoot data discrepancies and performance issues.
  • Monitor dashboard performance, usage, and failures.
  • Maintain Looker content lifecycle (dev → prod).
  • Implement access controls and content organization.
  • Continuously improve models and dashboards based on usage analytics.
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