Senior Data Management Professional - Data Engineering - Sovereigns Debt Data

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 information, 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 - all while working very closely with our clients.

As a Sovereign Debt Data Engineer you will be responsible for growing our automated processes, improving existing ETLs, and developing quality controls by using technology solutions.

We’ll Trust You To:

• Have good understanding about sovereign debt and its main issuance techniques
• Use technical skills to develop, scale, and maintain the data pipelines and processes that interact with our databases
• Effectively collaborate with a variety of internal partners across Data, Engineering, Business, and Sales on strategic product development and execution
• Use statistics and data visualization to generate insights about ongoing operations and projects and communicate the results effectively
• Incorporate machine learning and statistics to detect anomalies and drive quality improvements in areas such as accuracy, completeness, consistency, and reliability
• Communicate with impact, ensuring sophisticated information is articulated in a meaningful way to a varied audience including senior executives
• Use technology to solve problems and optimize current processes in areas such as data quality, data acquisition, and workflow automation, alongside Domain Experts and Technical Account Managers
• Develop an in-depth understanding of the Sovereign Debt workflows and how its data is used and consumed by our clients
• Work with clients on ad-hoc basis, either in support of questions around the dataset, the technology behind it, or as part of collaboration on automation projects with various Treasuries & Central Banks