Job Location: Riyadh, Saudi Arabia (Onsite)
Experience: 7–9 Years
Employment Type: Full-Time
Note : Candidates based in Riyadh will be preferred
We are seeking a highly skilled and experienced BI Engineer to join our team in Riyadh. The ideal candidate will be responsible for designing, developing, and maintaining scalable Business Intelligence solutions that enable data-driven decision-making across the organization. This role requires strong expertise in data modeling, ETL development, dashboarding, reporting, and data warehousing technologies.
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Design, develop, and maintain enterprise-grade BI solutions, dashboards, and analytical reports.
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Gather and analyze business requirements and translate them into technical specifications.
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Develop and optimize ETL/ELT processes for data integration from multiple sources.
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Design and maintain data warehouses, data marts, and semantic models.
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Build interactive dashboards and reports to support business stakeholders.
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Ensure data accuracy, integrity, consistency, and governance across BI platforms.
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Monitor and optimize query performance, data pipelines, and reporting solutions.
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Collaborate with business users, data engineers, and leadership teams to identify reporting and analytics needs.
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Troubleshoot BI-related issues and provide ongoing support for reporting environments.
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Implement best practices for data visualization, security, and performance optimization.
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Create and maintain technical documentation, data dictionaries, and reporting standards.
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Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field.
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7–9 years of experience in Business Intelligence, Data Warehousing, and Analytics.
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Strong experience with BI tools such as Power BI, Tableau, Qlik Sense, or Looker.
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Hands-on experience with SQL and relational databases such as SQL Server, Oracle, PostgreSQL, or MySQL.
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Experience designing and maintaining Data Warehouses, Data Marts, and Dimensional Models (Star/Snowflake Schemas).
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Expertise in ETL/ELT tools such as SSIS, Informatica, Talend, Azure Data Factory, or similar platforms.
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Strong understanding of data modeling, data governance, and data quality principles.
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Experience with cloud platforms such as Azure, AWS, or Google Cloud is preferred.
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Knowledge of scripting languages such as Python or PowerShell is an advantage.
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Strong analytical, problem-solving, and communication skills.
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Ability to work effectively with cross-functional and business teams.
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Experience in enterprise-scale BI implementations.
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Knowledge of modern data platforms and lakehouse architectures.
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Familiarity with Agile/Scrum methodologies.
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Relevant certifications in Power BI, Tableau, Azure Data Engineering, AWS Analytics, or related technologies are preferred.
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Competitive salary and benefits package.
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Opportunity to work on large-scale data and analytics initiatives.
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Exposure to modern BI and cloud technologies.
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Collaborative and growth-oriented work environment.
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Relocation support (if applicable).
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