Data Engineer at Tandem Partners
Dubai, Dubai, United Arab Emirates -
Full Time


Start Date

Immediate

Expiry Date

10 Dec, 26

Salary

0.0

Posted On

11 Sep, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Technology & Services

Description

About the job


Location: DubaiWork Arrangement: Standard workdays (Monday to Friday) & hours (9am to 5pm)Engagement: Full-time, 3-month initial contractSeniority: 5+ years, hands-on across data, controls and Power BI

About the RoleThis role exists to make a small number of high-effort, business-critical recurring reports trustworthy and repeatable - while establishing minimum viable data ownership and quality controls over the data those reports depend on. The approach is deliberately lean: controlled extracts and repeatable transformation logic, not a new enterprise data platform.

  • What You'll DeliverA prioritized critical-data-element register, business glossary, ownership matrix, and source-of-truth documentation for the agreed scope
  • Documented data quality rules (completeness, validity, allowed values, duplicates, thresholds, severity, ownership, remediation)
  • A recurring-report inventory, narrowed to 2–3 reports selected on business value, manual effort, and feasibility
  • Controlled XLSX/CSV or read-only source extracts with repeatable Power Query/Python transformation logic, record counts, control totals, error logging, archiving and versioning
  • 2–3 production-quality Power BI (or GCP/alternative) reports/dashboards with governed KPI definitions, semantic models, DAX, access controls, and scheduled or owner-triggered refresh
  • Runbooks, data dictionaries, and test evidence sufficient for a lean internal team to take over maintenance


  • Key ResponsibilitiesIdentify which reports, decisions and processes are most exposed to unreliable or manually-assembled data, and profile the underlying extracts
  • Resolve conflicting KPI definitions with business owners before build, and document the agreed definitions, owners, exceptions and limitations
  • Build resilient transformations that hold up against inconsistent file extracts - changing headers, column order, formats, incomplete data
  • Reconcile outputs against source reports and control totals, surfacing unresolved breaks rather than masking uncertainty
  • Build and release Power BI (or alternative) 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 sustainable extract, review and remediation routines


  • Must-Have ExperienceHands-on Power BI to production standard: data modelling, DAX, refresh configuration, row-level security, workspace/access management
  • Strong Power Query/M and Excel; working Python/pandas; practical SQL for read-only extraction and validation
  • Exposure to GCP data reporting (Looker, BigQuery)
  • Track record delivering reliable reporting without depending on a warehouse or modern cloud data stack
  • End-to-end setup of a reporting platform/layer (Power BI, GCP, or equivalent)
  • Practical data governance/MDM experience - personally built 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 non-specialist owners can opera

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Responsibilities
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