Senior Data Management Professional - Commodities, Singapore

Job description

Senior Data Management Professional - Commodities, Singapore 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: 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.