Senior Data Management Professional - Data Quality

Salary: £55,000 - 95,000 per year

Requirements:

• A bachelor of arts or bachelor of science degree or higher in Computer Science, Mathematics, or a relevant data technology field, or equivalent professional work experience
• Demonstrated continuous career growth within an organization
• Excellent written and verbal communication skills in English
• 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
• Excellent project management skills and the ability to collaborate across teams and geographies
• Strong communication skills to influence stakeholders and present complex findings clearly to both technical and non-technical audiences
• Proficiency with tech stack components such as Amazon S3, Lambda function, Kafka, Apache Airflow, or Bloomberg tech stack in a production environment
• Exceptional problem-solving skills, numerical proficiency, and high attention to detail
• Ability to work independently as well as in a distributed team environment
• Ability to communicate and present concepts and methodologies to diverse audiences
• Data Management Association Certified Data Management Professional or Data Capability Assessment Model certification

Responsibilities:

• Develop and deliver the data quality strategy for the Events and Transcripts product, aligning it with client use cases and industry best practices
• Define, measure, and monitor data quality metrics that ensure transparency and accountability across workflows
• Oversee data governance on new and existing workflows while improving data ingestion and interoperability between our product and the rest
• Devise data quality strategies across various data workflows and oversee governance
• Own data quality methodologies and quarterly reporting
• Partner with Product, Engineering, and Data teams to embed quality-by-design principles into ingestion, transformation, and delivery pipelines
• Perform data profiling, statistical analysis, and root cause investigations to validate approaches and recommend improvements
• Set up business rules and visualization to measure and ensure the accuracy, timeliness, and completeness of our data using Bloomberg tech stack components such as business rule engines and QlikSense
• Balance technical and product knowledge to craft solutions for customers

Technologies:

• Airflow
• Lambda
• Support
• Kafka
• NoSQL
• Python
• REST
• SQL

More:

We run on data, and our products are fueled by powerful information. In Data, we are responsible for delivering data, news, and analytics through innovative technology quickly and accurately. Our Events and Transcripts Data team in London is seeking a Data Quality Engineer to help drive the dataset forward. We provide complete, accurate, and timely company events and transcripts information, partnering closely with Product, Engineering, Sales, and News to build data products that support a wide range of client workflows. We value cross-functional collaboration, deep domain knowledge, thoughtful automation, and data management expertise as we work to deliver high-quality data at scale for our rapidly growing customer base.

last updated 37 week of 2026