Senior Data Management Professional - Data Engineering, Entities

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.

Our Team
The Entity team is responsible for timely creation and maintenance of core entity data, assignment of risk allocation and corporate hierarchy research for over 7million public and private companies. In addition, responsibilities include new data pipelines, validation of data and reviewing processes for efficiencies. The team works directly with other groups within Data, Technology, Product and Enterprise.

What's the role?
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

You'll need to have:

• Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.

• Bachelor's degree or equivalent experience in Computer Science, or a related technical degree, preferably in combination with a Finance or business field
• 4+ years using scripting languages (preferably Python) to query and interrogate datasets*
• Experience profiling new datasets, and implementing high volume, low-latency ETL pipelines
• Solid understanding of Bloomberg tech stack, such as BAIT, DFR, and completion of a Data Automated Services course.
• Project management skills and the ability to adapt to tasks accordingly
• Excellent written and verbal communication skills
• Ability to work independently as well as in a team environment

We'd love to see:

• Advanced degree/Master's degree in a Finance or STEM subject and/or Certified Data Management Professional (CDMP) designation
• Familiarity with use cases of sophisticated statistical methods such as Machine Learning, Artificial Intelligence, and Natural language Processing
• Experience working in an Agile development team

Does this sound 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!
Bloomberg is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
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