Data Quality Engineer — Events & Transcripts

Bloomberg L.P.; Greater London; On-site; GBP 60,000 - 80,000; Full time

Benefits offered by this job

Equal opportunity employer

Diversity and inclusion initiatives

Job summary

Bloomberg L.P. is looking for a Senior Data Management Professional specializing in Data Quality to join their Events and Transcripts Data team in London. The ideal candidate will define quality strategies and ensure datasets are reliable, collaborating with various business areas to support client use.

Applicants should possess strong data governance skills, excellent communication abilities, and a degree in Computer Science or a related field. The position also requires 3+ years of experience in data quality management and proficiency in Python and SQL.

Qualifications

• 3+ years of professional experience in data science, data quality management, or data governance.
• 3-8 years of experience working with Python, SQL, and/or NoSQL.
• Exceptional problem-solving skills and high attention to detail.

Responsibilities

• Define and execute the quality strategy for reliable datasets.
• Develop and deliver the data quality strategy for the Events and Transcripts product.
• Measure and monitor data quality metrics for transparency.

Skills

Data science

Data quality management

Python

SQL

NoSQL

Project management

Communication skills

Attention to detail

Education

Bachelor's degree in Computer Science or related field

Tools

Python

SQL

Apache Airflow

Amazon S3

Kafka

Bloomberg Tech Stack

Job description

Bloomberg L.P. is looking for a Senior Data Management Professional specializing in Data Quality to join their Events and Transcripts Data team in London. The ideal candidate will define quality strategies and ensure datasets are reliable, collaborating with various business areas to support client use.

Applicants should possess strong data governance skills, excellent communication abilities, and a degree in Computer Science or a related field. The position also requires 3+ years of experience in data quality management and proficiency in Python and SQL.