Senior Data Management Professional - Data Engineer - Economics Data
Bloomberg LP
London, United Kingdom
On-site
4+ years designing scalable data solutions
Strong hands-on experience with python
Experience with workflow orchestration and monitoring
The role focuses on modernizing the data platform and building scalable, resilient data workflows for critical Economics datasets
Job Summary
The role focuses on modernizing the data platform and building scalable, resilient data workflows for critical Economics datasets.
You will reduce technical debt, modernize legacy processes, and embed quality controls directly into data pipelines and systems.
The team manages macroeconomic, government, survey, forecast, time-series, and vendor-supplied datasets to support Bloomberg Terminal and other products.
Matching Summary
The role focuses on modernizing the data platform and building scalable, resilient data workflows for critical Economics datasets.
Skills & Requirements
Must-have
4+ years designing scalable data solutions
Strong hands-on experience with Python
Experience with workflow orchestration and monitoring
Ability to analyze and refactor legacy systems
Strong understanding of data lifecycle management
Nice-to-have
Experience with Economics or macroeconomic datasets
Productionizing AI, machine learning, or LLM workflows
Experience with cloud platforms and DataOps practices
Project management experience with Agile delivery
CDMP certification or progress toward it
Key Requirements
Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, Economics, or equivalent
4+ years of experience in data engineering and ETL pipelines
Demonstrated skills in scaling data solutions and monitoring frameworks