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Senior Data Management Professional Commodities, Singapore
Job Location:
Monthly Salary:
Posted:
21 August 2026 (20 days ago)
Posted:
Application Deadline:
18 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Senior Data Management Professional - Commodities Singapore
Location
Singapore
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 innovative workflow efficiencies and we implement technology solutions to enhance our systems products and processes - all while providing platinum customer support to our clients!
Whats the Role:
The Commodities Data team is seeking a Senior Data Management Professional to help drive the next generation of our data platform. You will design and enhance scalable data pipelines automation solutions and quality frameworks that power critical datasets across Bloomberg products. Partnering closely with Product Engineering and domain experts you will improve data reliability modernize workflows reduce technical debt and drive data quality governance and AI-enabled innovation. This is a highly impactful individual contributor role for someone who combines strong data engineering expertise with a passion for delivering high-quality client-focused data solutions.
Whats the Role:
The Commodities Data team is seeking a Senior Data Management Professional to help drive the next generation of our data platform. You will design and enhance scalable data pipelines automation solutions and quality frameworks that power critical datasets across Bloomberg products. Partnering closely with Product Engineering and domain experts you will improve data reliability modernize workflows reduce technical debt and drive data quality governance and AI-enabled innovation. This is a highly impactful individual contributor role for someone who combines strong data engineering expertise with a passion for delivering high-quality client-focused data solutions.
Well trust you to:
Wed love to see:
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:
- Design build and optimize scalable resilient data pipelines and workflows supporting critical Commodities datasets
- Modernize legacy systems reduce technical debt and lead data migration and transformation initiatives that improve reliability performance and maintainability
- Develop automated controls monitoring observability and remediation frameworks to ensure data quality integrity and operational resilience
- Partner with Product Engineering and domain experts to translate business needs into scalable technical solutions and influence platform architecture and evolution
- Apply automation AI/ML and advanced analytics to enhance data ingestion enrichment validation and monitoring processes
- Establish engineering best practices and mentor team members to drive technical excellence code quality and operational discipline
- Bachelors degree (or higher) in a STEM field such as Statistics Computer Science Quantitative Finance or equivalent practical experience
- Minimum 4 years of experience designing and building scalable data solutions including ETL/ELT pipelines data workflows and automation frameworks
- Experience with Python and querying structured semi-structured and unstructured data
- Experience with modern data operations including data modeling governance lifecycle management observability monitoring alerting and reliability engineering
- Strong communication and stakeholder management skills with the ability to collaborate effectively across Data Engineering Product and business teams
- Fluency in both spoken and written English
- Demonstrated continuous career growth within an organization
Wed love to see:
- Experience with Bloomberg data products and workflows plus AI/ML-enabled solutions such as anomaly detection NLP classification or LLM-assisted workflows
- Familiarity with modern data engineering and delivery practices including cloud platforms DataOps CI/CD metadata management Agile delivery and project management tools; CDMP certification is a plus
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:
Learn more about our offices and benefits:
Singapore Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture values and the people behind our success.
Singapore Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture values and the people behind our success.
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
