Data Quality Engineer: DataOps & Automation Lead

Bloomberg; Greater London; On-site; GBP 50,000 - 70,000; Full time

Job summary

Bloomberg is seeking a Data Quality Engineer based in London to enhance the reliability and efficiency of commodities and energy data. This role focuses on improving data quality processes and automation initiatives while collaborating with various teams.

The ideal candidate should have over 4 years of experience in data management and strong skills in Python and SQL. You'll be responsible for monitoring data quality metrics and implementing effective solutions. Join us to impact the data landscape at Bloomberg.

Qualifications

• 4+ years experience in data management or operations.
• Experience with data quality checks and operational processes.
• Strong Python and SQL skills for automation.

Responsibilities

• Support data quality controls for commodities datasets.
• Build and optimize automated data quality checks.
• Monitor data quality metrics and resolve issues.

Skills

Data management

Data operations

Python scripting

SQL

Data quality checks

Exception management

Strong organizational skills

Effective communication

Job description

Bloomberg is seeking a Data Quality Engineer based in London to enhance the reliability and efficiency of commodities and energy data. This role focuses on improving data quality processes and automation initiatives while collaborating with various teams.

The ideal candidate should have over 4 years of experience in data management and strong skills in Python and SQL. You'll be responsible for monitoring data quality metrics and implementing effective solutions. Join us to impact the data landscape at Bloomberg.