BI Developer / Data Engineer
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Key skills for this role
About the Role
Qualifications & Experience Education Bachelor's degree (minimum) in Computer Science, Data Engineering, Information Systems, Statistics, or a closely related technical field.
Key Skills for This Role
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Education
- Bachelor's degree (minimum) in Computer Science, Data Engineering, Information Systems, Statistics, or a closely related technical field.
- Master's degree or relevant professional certification — such as Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Analytics, or equivalent — is strongly preferred.
Experience
- 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.
Technical Skills — Required
- 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 with cloud data platforms: Azure (preferred — Azure Data Factory, Synapse Analytics, Azure SQL), AWS, or GCP.
- Solid grounding in data warehousing concepts: dimensional modelling, star/snowflake schemas, slowly changing dimensions, and partitioning strategies.
- Experience with ETL/ELT orchestration tools such as Azure Data Factory, dbt, Talend, Informatica, or equivalent.
Technical Skills — Preferred
- REST API integration and handling of JSON/XML data formats.
- Exposure to predictive modelling or ML pipelines applied to workforce or organisational analytics.
- Familiarity with data cataloguing and governance tools (e.g., Microsoft Purview, Collibra, or equivalent).
- Experience managing multilingual or Arabic-script datasets.
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