Senior Commodities Data Engineer – Pipelines & AI Quality

Bloomberg; Singapore; Sur place; SGD 120 000 - 180 000; Plein temps

Résumé du poste

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.

Qualifications

• 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.

Responsabilités

• 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.

Connaissances

Data pipelines

ETL/ELT design

Python

Data governance

Observability

Stakeholder management

AI/ML concepts

Cloud platforms

Communication skills

Formation

Bachelor's degree in STEM

Outils

CI/CD tooling

DataOps tools

Description du poste

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.