Senior Data Management Professional - Commodities, Singapore

Bloomberg; Singapore; Presencial; SGD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Bloomberg seeks a Senior Data Management Professional for its Commodities Data team. You will design and enhance scalable data pipelines, automation, and quality frameworks powering datasets across Bloomberg products.

Work with Product, Engineering, and domain experts to improve data reliability, modernize workflows, and drive data governance. This role emphasizes AI-enabled innovation and high-quality client data solutions.

Formación

• 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.

Responsabilidades

• Design, build, and optimize scalable data pipelines and workflows supporting critical Commodities datasets.
• Modernize legacy systems and lead data migration and transformation initiatives to improve reliability and performance.
• Develop automated controls, monitoring, observability, and remediation frameworks to ensure data quality and operational resilience.
• Partner with Product, Engineering, and domain experts to translate business needs into scalable technical solutions.
• 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 and operational discipline.

Conocimientos

Data pipelines

ETL/ELT design

Python

Data governance

Observability

Stakeholder management

AI/ML concepts

Cloud platforms

Communication skills

Educación

Bachelor's degree in STEM

Herramientas

CI/CD tooling

DataOps tools

Descripción del empleo

Location

Business Area

Data

Ref #

10053048

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 - 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:

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