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Data Quality Owner

Recruin

Posted 17 hours ago

Employment Type

Contract

Location

Dubai

Requirements

Advanced SQL, Snowflake, dbt testing, Data warehousing, SQL performance, Traceability testing, Reconciliation, Incident management, Python scripting, Analytical mindset

Job Description

Responsibilities

  • Own and evolve the Data Quality Operating Model for manufacturing, inventory, and compliance data.
  • Build, maintain and run automated validation tests in dbt and Snowflake.
  • Operate Golden Dataset regression testing and enforce publish gates for Gold-layer models.
  • Lead traceability audits, weekly reconciliation exercises and blockchain consistency checks.
  • Detect, triage and resolve data incidents; create permanent automated controls to prevent regressions.
  • Partner closely with Engineering, Data, Product and Operations to integrate data QA into delivery workflows.
  • Monitor data freshness, schema drift, pipeline health and Snowflake cost guardrails.

Requirements

  • Advanced SQL
  • Snowflake
  • dbt testing
  • Data warehousing
  • SQL performance
  • Traceability testing
  • Reconciliation
  • Incident management
  • Python scripting
  • Analytical mindset

Preferred Qualifications

  • Manufacturing / supply chain experience
  • NetSuite familiarity
  • Manhattan WMS knowledge
  • Event-based / blockchain exposure
  • Experience with Fivetran or Airbyte
  • Familiarity with dbt-expectations or statistical tests

Benefits

  • Health Insurance
  • Annual Leave
  • Paid Leave
  • Transportation
  • Visa support

About the Company

Recruin is a fast-growing IT solutions and consulting firm delivering C2C resources and project-based services across a wide range of technologies. We partner with operations-led businesses to build robust data platforms and automated quality controls that prevent bad data from reaching planning tools, dashboards and AI agents. This role operates from the UAE (Dubai) on a hybrid basis and focuses on building systems to ensure accurate, traceable and cost-efficient data across the entire lifecycle.

How to Apply

Send your CV and cover letter to:

[email protected]

Please include the job title in your email subject