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    EMEA: Senior Data Engineer - London, United Kingdom - Bloomberg L.P.

    Bloomberg L.P.
    Bloomberg L.P. London, United Kingdom

    2 weeks ago

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    Description
    Senior Data Management Professional – Data Engineering, Entities in London , United Kingdom
    Senior Data Management Professional – Data Engineering, Entities
    Bloomberg runs on data.

    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.

    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.

    As a Senior Data Engineer for the Entities team, you will use domain expertise to improve financial data that feeds Bloomberg products.

    You will be responsible for the integration and data management of Registry data specifically supporting the Private Markets Product Team.

    You will also work closely with the Private Markets Product team analyzing and researching new datasets for potential onboarding.
    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
    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
    • 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
    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
    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.

    Bloomberg provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job.

    Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

    net (Americas), EMEA (Europe, the Middle East and Africa), or (Asia-Pacific), based on the region you are submitting an application for.

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