Senior Data Management Professional - Data Engineering, Entities

at  Bloomberg

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.

As a Senior Data Engineer for the Entities team, you will use domain expertise to improve financial data that feeds Bloomberg products. You will also be required to identify innovative workflow efficiencies and implement technical solutions to improve our already existing systems.
You will be responsible for the integration and data management of Registry data specifically supporting the Private Markets Product Team. This includes creating pipelines for additional sources and automating existing manual workflows. You will also work closely with the Private Markets Product team analyzing and researching new datasets for potential onboarding.

We’ll trust you to:

• Identify and build automated solutions for the acquisition and processing of data that would otherwise require manual effort
• Use data profiling and statistical analysis to identify trends and patterns for data duplication
• Devise data quality strategies across various data workflows and oversee the governance
• Design data models to build data storage solutions for our raw and enriched data and contribute to our data alignment strategy by following the FAIR data principles
• Communicate and collaborate across team members and complementary teams including Engineering, Product, and Enterprise
• Contribute to the creation of standard methodologies and guidelines for data management and governance
• Use data visualization skills to report on results of ongoing operations and projects, as required