Data Engineer

Work arrangement

• The stated location is Dubai.
• Standard workdays are Monday through Friday, with standard hours from 9am to 5pm.

Engagement and role

Expected deliverables

• Produce a critical-data-element register, business glossary, ownership matrix, and source-of-truth documentation.
• Document data-quality rules covering completeness, validity, allowed values, duplicates, thresholds, severity, ownership, and remediation.
• Inventory recurring reports and narrow the scope to two or three reports based on value, effort, and feasibility.
• Create controlled XLSX or CSV extracts with repeatable Power Query or Python logic, record counts, control totals, error logging, archiving, and versioning.
• Deliver two or three production-quality Power BI or equivalent reports with governed KPI definitions, semantic models, DAX, access controls, and refresh processes.
• Prepare runbooks, data dictionaries, and test evidence for handover to a lean internal team.

Key responsibilities

• Identify reports, decisions, and processes exposed to unreliable or manually assembled data and profile the underlying extracts.
• Resolve conflicting KPI definitions with business owners before building and document definitions, owners, exceptions, and limitations.
• Build resilient transformations for inconsistent file extracts with changing headers, column order, formats, and incomplete data.
• Reconcile outputs against source reports and control totals and surface unresolved breaks.
• Build and release semantic models, measures, drill paths, and visuals with proportionate refresh and role-based access.
• Work with operations, finance, investments, client teams, and vendors to establish extract, review, and remediation routines.

Must-have experience

• Production-standard Power BI experience covering data modelling, DAX, refresh configuration, row-level security, and workspace or access management.
• Strong Power Query/M and Excel skills, working Python and pandas skills, and practical SQL for read-only extraction and validation.
• Exposure to GCP data reporting, including Looker or BigQuery.
• Experience delivering reliable reporting without depending on a warehouse or modern cloud data stack.
• End-to-end experience setting up a reporting platform or layer using Power BI, GCP, or an equivalent solution.
• Practical data governance or MDM experience, including CDE registers, glossaries, ownership matrices, or data-quality rulebooks.
• Strong reconciliation, control-total, exception-management, and remediation-workflow capability.
• Confidence facilitating metric-definition decisions and producing documentation for non-specialist owners.

Preferred experience

• KSA or GCC delivery experience and familiarity with regulated data residency and privacy boundaries are advantageous.
• Asset management, wealth management, fund administration, or investment-reporting experience is advantageous.
• Exposure to eFront, Bloomberg, Oracle ERP, or comparable portfolio, market-data, or finance systems is advantageous.
• Arabic reporting or bilingual and right-to-left layout experience is advantageous.

Role scope