Senior Data Management Professional - Data Quality - Commodities Data

Bloomberg LP

London, United Kingdom
On-site
4+ years data management experience
Strong python scripting skills
Sql for validation rules
This role focuses on executing and enhancing data quality processes while supporting automation initiatives to improve operational efficiency

Job Summary

  • This role focuses on executing and enhancing data quality processes while supporting automation initiatives to improve operational efficiency.
  • The successful candidate will build, maintain, and optimize automated data quality checks for completeness, accuracy, timeliness, consistency, and schema validation.
  • You will partner closely with data operations, engineering, and business stakeholders to resolve issues and drive timely remediation of critical data pipelines.

Matching Summary

This role focuses on executing and enhancing data quality processes while supporting automation initiatives to improve operational efficiency.

Skills & Requirements

Must-have

  • 4+ years data management experience
  • Strong Python scripting skills
  • SQL for validation rules
  • Data quality control implementation
  • Root-cause analysis of data issues

Nice-to-have

  • Experience with commodities or energy data
  • Familiarity with DataOps concepts
  • Cloud-based data platform exposure
  • Regulated data environment experience
  • AI/ML-based data solution knowledge

Key Requirements

  • 4+ years in data management or operations
  • Proficiency in Python and SQL
  • Experience with modern data platforms

Work Rights

Not specified

Tailored Resume

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