Data Quality Engineer – Events & Transcripts

Bloomberg; Greater London; On-site; GBP 85,000 - 120,000; Full time

Job summary

Bloomberg runs on data. Bloomberg seeks a Data Quality Engineer to define and execute the quality strategy, ensuring datasets are reliable and ready for client use cases.

You will lead governance, establish metrics, and deliver transparent reporting across ingestion, transformation, and delivery pipelines. You'll collaborate with Engineering, Product, and Data teams to embed quality‑by‑design, perform profiling and investigations, and work with Bloomberg tech stack including S3, Lambda, Kafka,

Qualifications

• Bachelor's degree or higher in CS/Math or related field.
• 3+ years in data science, data quality or data governance.
• Strong English written and verbal communication.
• 3–8 years with Python, SQL and/or NoSQL.
• Proven ability to collaborate across teams and geographies.

Responsibilities

• Develop and deliver the data quality strategy for Events and Transcripts.
• Define, measure, and monitor data quality metrics across workflows.
• Oversee data governance for new and existing workflows.
• Devise data quality strategies and quarterly reporting.
• Embed quality-by-design in ingestion, transformation, delivery pipelines.
• Perform data profiling, analysis, and root-cause investigations.
• Set up business rules and visualization using Bloomberg tech stack.
• Balance technical and product knowledge to craft customer solutions.

Skills

Python

SQL

NoSQL

Data quality management

Data governance

English communication

Project management

Education

Bachelor's degree in Computer Science or Mathematics

Tools

Amazon S3

Lambda

Kafka

Apache Airflow

Bloomberg Tech Stack

Job description

Bloomberg runs on data. Bloomberg seeks a Data Quality Engineer to define and execute the quality strategy, ensuring datasets are reliable and ready for client use cases.

You will lead governance, establish metrics, and deliver transparent reporting across ingestion, transformation, and delivery pipelines. You'll collaborate with Engineering, Product, and Data teams to embed quality‑by‑design, perform profiling and investigations, and work with Bloomberg tech stack including S3, Lambda, Kafka,