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Senior Data Management Professional Data Engineering Sustainable Fixed Income Data, Hong Kong
Job Location:
Monthly Salary:
Posted:
30 August 2026 (16 days ago)
Posted:
Application Deadline:
27 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Senior Data Management Professional - Data Engineering - Sustainable Fixed Income Data Hong Kong
Location
Hong Kong
Business Area
Data
Ref #
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 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 sustainable debt market has witnessed significant growth in recent years with global sustainable debt issuances surpassing USD 6 trillion. Our team plays a critical role in managing and advancing Sustainable Fixed Income (SFI)-related content for approximately 18000 Green Social Sustainability Sustainability Linked and Transition instruments across Corporate and Sovereign markets. This includes being responsible for security-specific attributes regulatory or market-recognized principles and alignments relevant analytics and proprietary sustainable debt assessments that are used in the Bloomberg Terminal and Enterprise products.
Our engagement with the sustainable finance community allows us to explore new ideas and validate solutions applying problem-solving skills to enhance our systems products and processes. Collaboration across functions deep domain expertise strategic use of AI and strong data management are essential to consistently provide high-quality data to our growing client base.
The Role:
We are looking for a highly qualified Senior Data Management Professional to help lead the next generation of our data platform. This role requires a strong data engineering foundation combined with deep ownership of data quality where quality is built directly into pipelines systems and architecture rather than managed as a separate function. This role is designed for someone who thrives in a complex environment and consistently delivers high-impact scalable solutions.
Well trust you to:
- Build and maintain highly scalable resilient and observable data pipelines supporting critical SFI datasets
- Lead the modernization of legacy workflows reducing technical debt and improving maintainability and performance
- Perform deep data analysis including profiling and root cause analysis to support data-driven decision making and validate improvements
- Build and deploy automated data quality controls including random sampling data validation rules outlier detection etc
- Apply machine learning techniques such as natural language processing entity extraction and LLM to improve data ingestion and extraction
- Seek opportunities to harness generative AI and automation to reduce manual workflows and accelerate data onboarding
- Develop and improve validation frameworks for agentic artifacts to ensure quality reliability and appropriate controls
- Establish best practices around data architecture pipeline design and workflow orchestration
- Understand how clients consume data across Bloomberg products and translate those needs into measurable data quality and product improvements
- Partner with Engineering to align on platform evolution scalability and system design
- Act as a technical leader and mentor raising the bar for code quality design thinking and execution across the team
- Apply your proven project management expertise to ensure technical projects are aligned with requirements and stay on track
Youll need to have:
- Bachelors degree preferably in Statistics Computer Science Quantitative Finance other STEM related field or equivalent qualifications
- 3 years of experience architecting designing and implementing scalable data solutions and ETL pipelines including monitoring remediation and data management workflows across diverse data sources
- 3 years of hands-on experience working with Python in development/production environment
- Proven track record of delivering complex high-impact data initiatives end-to-end
- Familiarity with various databases schemas modeling as well as structured and unstructured formats (PDF HTML XBRL JSON CSV etc.)
- Strong communication and interpersonal skills with the proven ability to influence technical direction mentor team members clearly communicate complex concepts and methodologies and effectively collaborate across diverse and distributed teams
- Fluency in both written and spoken English
- Evidence of continuous career growth within an organization
- Capability to work independently and as part of a diverse team
Wed love to see:
- Experience with Bloomberg products such as the Terminal and/or Bloomberg Data Workflows
- Experience within the financial markets in particular Fixed Income
- Hands-on experience applying machine learning or AI techniques in data workflows such as classification NLP anomaly detection or LLM-assisted workflows
- Strong experience in data quality management including defining metrics performing root cause analysis and driving measurable improvements in data reliability
- Experience building observable systems with monitoring alerting and data reliability frameworks
- Familiarity with data visualization techniques and tools
If this sounds like you:
Apply if you think were a good match. Well get in touch to let you know what the next steps are but in the meantime feel free to have a look at this: Bloomberg Professional Services
Learn more about our office and benefits:
Required Experience:
Senior IC
About Company
Bloomberg is the world's primary distributor of financial data and a top news provider of the 21st century. A global information and technology company, we use our dynamic network of data, ideas and analysis to solve difficult problems every day. Our customers around the world rely on ... View more
