Senior Data Management Professional - Data Engineer - Capital Structure

Bloomberg L.P.; City Of London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading financial technology firm is seeking a Senior Data Management Professional to focus on data engineering and quality. The role involves maintaining data pipelines, enhancing data quality, and collaborating with product teams. Ideal candidates will have 4+ years' experience in data engineering, strong knowledge of ETL processes, and proficiency in Python and SQL. The role is based in London and promotes a diverse and inclusive work environment.

Qualifications

• Proven ability to design, build, and maintain data pipelines at scale.
• Hands-on expertise in developing and implementing data quality measures.
• Experience integrating diverse data sources reliably.

Responsibilities

• Build, optimize, and maintain data pipelines for diverse datasets.
• Lead data quality initiatives including anomaly detection.
• Collaborate with Product and Engineering on data priorities.

Skills

Data pipeline development

Data quality initiatives

ETL/ELT processes

Data profiling and analysis

Stakeholder management

Problem-solving

Education

4+ years of professional experience in data engineering

DAMA CDMP or DCAM certifications

Tools

Python

SQL

Job description

Senior Data Management Professional - Data Engineer - Capital Structure

Location

London

Business Area

Data

Ref #

10045236

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 innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.

The Team:

Our teams operate at the forefront of Fixed Income innovation, building and maintaining foundational data products that power credit and risk workflows across institutional finance. In Capital Structure, our products are core to credit risk analysis, enabling clients to assess the complete financial structure of a corporate group, including maturity distribution, payment waterfall, guarantees, and resource mapping. Especially for high‑yield and leveraged segments, accurate capital structure data is increasingly indispensable for integrating financials, valuations, and credit assessments. The growing focus on this area is amplified by our recent expansion into Loans indices, which further elevate data expectations.

What’s the role?

We are looking for a Data Engineer with a strong foundation in data quality to help us acquire, process, and monitor the datasets that power our products. In this role, you will design and maintain data acquisition pipelines, support data extraction efforts, and take ownership of several data quality initiatives, including establishing new measurement frameworks, anomaly detection, and monitoring solutions. You will implement solutions using traditional programming, machine learning and AI, and human‑in‑the‑loop approaches to make sure our data is fit‑for‑purpose for our clients. You will work closely with our Engineering partners, our Data Product Owner as well as Product teams, and you will need to be able to coordinate with multi‑disciplinary and regional teams and have experience in project management and stakeholder engagement. You will need to be comfortable working with large datasets and you will need to demonstrate strong experience in data engineering.

We’ll trust you to:

• Build, optimize, and maintain data pipelines for acquisition, ingestion, and transformation of diverse datasets, with a focus on ensuring high quality outputs
• Lead and own data quality initiatives such as measurement, anomaly detection, monitoring, and reporting
• Design and implement automated data quality checks, metrics, and alerts within ETL/ELT workflows
• Support data extraction and integration efforts, ensuring reliability and scalability
• Collaborate closely with Product and Engineering to define priorities, align on requirements, and deliver end‑to‑end data solutions
• Identify opportunities for process improvements and infrastructure enhancements to elevate data quality and pipeline efficiency
• Apply statistical methods and data profiling to evaluate and continuously improve data quality
• Engage stakeholders across regions and disciplines, providing technical guidance and building awareness of data quality best practices
• Stay current on data engineering trends, tools, and industry standards to strengthen our technical capabilities

You’ll need to have:

• 4+ years of professional experience in data engineering or related fields, with proven ability to design, build, and maintain data pipelines at scale
• Hands‑on expertise in developing and implementing data quality initiatives such as measurements and metrics, anomaly detection, monitoring, and reporting
• Strong knowledge of ETL/ELT processes, workflow orchestration, and modern data architecture concepts
• Proficiency in data profiling and analysis, tools such as Python and SQL
• Experience integrating data from diverse sources and ensuring reliability, scalability, and accuracy across large datasets
• Strong communication and stakeholder management skills, with the ability to lead cross‑functional projects and drive adoption of data quality practices
• A problem‑solving mindset, curiosity, and adaptability — able to operate as a generalist across multiple data domains
• Independence and ownership — you know how to identify priorities, figure out what needs to be done, and deliver results without heavy oversight

We’d love to see:

• DAMA CDMP or DCAM certifications
• Familiarity with Corporate Actions, Loans, Corporate Bonds
• Project Management experience developed in a matrixed partner environment and cross‑regional business

Does this sound like you?

Apply if you think we're a good match! We'll get in touch to let you know what the next steps are.

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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.

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