Senior Data Management Professional

Bloomberg Intelligence; Greater London; On-site; GBP 55,000 - GBP 75,000; Full time

Job summary

A leading financial data company is seeking a Data Management Professional to enhance data workflows and ensure high-quality datasets. The role requires over 4 years of experience in data quality management and strong proficiency in SQL and Python. You will validate workflows and enhance data processes in an innovative, fast-paced environment, while also collaborating across teams to improve data quality and governance. Join us to support exciting projects in a diverse and inclusive setting.

Qualifications

• 4+ years of professional experience in data quality management or data governance.
• Strong coding proficiency in SQL and Python for data analysis.
• Familiarity with ETL processes, data pipelines, and workflow design.
• Experience with data visualization tools to communicate insights.

Responsibilities

• Support the creation of scalable, high-quality data workflows.
• Ensure foundational data processes meet accuracy and timeliness.
• Validate end-to-end workflow orchestration and enhance incident response.

Skills

SQL

Python

Data quality management

Data governance

Problem-solving

Project management

Data visualization tools

Collaboration

Analytical skills

Education

Data management certifications (e.g., DAMA, CDMP, DCAM)

Tools

Tableau

QlikSense

Power BI

Job description

Description & Requirements

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology—quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.

Our Team

The Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by the industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data.

We are dedicated to crafting a best-in-class financial analysis and modeling product while constantly looking to enhance and expand our existing offering through a deep understanding of the markets we operate in, the sectors we cover, and our clients current and future needs.

What’s the Role?

As a Data Management Professional within the Foundational Support team, you will support the creation of scalable, high quality data workflows that underpin the delivery of accurate, fit-for-purpose datasets. Your work ensures that our foundational data processes not only meet accuracy and timeliness expectations but also evolve to support innovation, automation, and new commercial opportunities aligned with Bloomberg’s strategic goals.

You will play a pivotal role in validating end-to-end workflow orchestration, enhancing incident response and prevention frameworks, and embedding knowledge management and governance practices to strengthen data quality, transparency, and scalability across the Company Financials ecosystem.

You’ll need to have:

• 4+ years of professional experience in data quality management, or data governance

• Strong coding proficiency in SQL and Python for data analysis and workflow optimization idea generation

• Familiarity with ETL processes, data pipelines, and workflow design

• Experience with data visualization tools (Tableau, QlikSense, Power BI, or similar) to communicate quality insights

• Strong problem-solving skills and ability to thrive in a fast-paced environment

• Strong project management skills and ability to prioritize and adapt to tasks accordingly with a customer focused mentality

• Powerful collaboration skills to work across departments and regions, excellent written and verbal communication skills

• Strong analytical skills, attention to detail, and a solutions-oriented mindset

• Comfort working in a dynamic, evolving environment, balancing long-term strategy with immediate operational needs

We would love to see:

• Industry-recognized data management certifications (e.g., DAMA, CDMP, DCAM)

• Experience with company financials data and financial statements

• Hands-on knowledge of data governance and quality frameworks, including metadata management and regulatory considerations

• Knowledge of software testing and QA methodologies with experience in both manual and automating testing processes

• Familiarity with modern data infrastructure and architecture (APIs, pipelines, cloud platforms), with exposure to AI/ML or LLM-based enrichment solutions for anomaly detection and automation

• Experience using Bloomberg Terminal and Company Financials products

• Exposure to Agile methodologies

Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [e-mail]