▶ Minimum 5 years of professional experience in data engineering, BI development, or a closely related data-intensive technical role.

▶ Demonstrated experience building and maintaining production-grade data pipelines and interactive dashboards in an organisational setting.

▶ Prior experience working with HR, workforce, or public sector data is a significant advantage.

▶ Experience supporting strategy, research, or policy teams with data infrastructure — not only operational or finance reporting — is highly desirable.

▶ Advanced proficiency in SQL: complex queries, query optimisation, window functions, stored procedures, and schema design.

▶ Strong Python skills for data engineering tasks: data wrangling, pipeline scripting, API consumption, and automation (pandas, PySpark, or equivalent).

▶ Hands-on experience with Power BI (preferred), Tableau, or Qlik — including advanced DAX measures, calculated columns, and report performance optimisation.

▶ Experience managing multilingual or Arabic-script datasets.

Language skills: Arabic, English