Bloomberg

Global financial data, news, analytics provider

Senior Data Management Professional - Commodities

Data EngineeringConfirmed live in the last 24 hours

Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

A bachelor's degree or higher in a STEM field such as Statistics, Computer Science, or Quantitative Finance, or equivalent practical experience.
At least 4 years of experience designing and building scalable data solutions, including extract, transform, and load/extract, load, and transform 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.
Ability to collaborate across Data, Engineering, Product, and business teams, with strong communication and stakeholder management skills.
Fluency in spoken and written English.
Demonstrated continuous career growth within an organization.

Responsibilities

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 to 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, artificial intelligence/machine learning, 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.

Desired Qualifications

Experience with Bloomberg data products and workflows, plus artificial intelligence/machine-learning-enabled solutions such as anomaly detection, natural language processing, classification, or large language model-assisted workflows.
Familiarity with modern data engineering and delivery practices, including cloud platforms, DataOps, continuous integration/continuous delivery, metadata management, Agile delivery, and project management tools; CDMP certification is a plus.

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 - all while providing platinum customer support to our clients!

What’s 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.

We’ll trust you to:

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

You’ll need to have:

Bachelor’s 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

We’d 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 we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this: https://www.bloomberg.com/professional

Learn more about our offices and benefits:
Singapore | www.bloomberg.com/singapore

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

About the Company

Bloomberg

Global financial data, news, analytics provider

Bloomberg provides financial data, news, and analysis to help professionals make informed decisions and operate more transparently and efficiently. Its products deliver trusted information and insights through technology platforms that connect global financial communities, enable collaboration, and support decision-making. The company differentiates itself by offering broad, reliable data and news across markets, strong customer focus, and a culture that emphasizes collaboration, broad perspective, and doing the right thing for clients, people, and communities. Bloomberg’s goal is to improve market transparency and efficiency by delivering accurate information and tools that empower customers to act confidently and ethically.

Company size: 10,001+
Company stage: Not listed
Total funding: Not listed
Headquarters: New York City, New York
Founded: 1981

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