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 optimize the value of our data by combining our domain and technical expertise to make our data fit-for-purpose, timely and accurate. We apply our problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to better manage our data. Our team: Sovereign debt is the cornerstone of global finance and the largest and most liquid asset class in fixed income. We work closely with Treasuries and Central Banks around the world to onboard their debt securities on Bloomberg in a timely manner ensuring excellent data quality. Information about the issuance of bonds by governments is time-sensitive and often market-moving and something a lot of our clients track carefully. By leveraging technology, domain expertise and relationships with Issuers we aim to be the best data and analytics platform in the market. What's the role? As a Sovereign Debt Data Engineer you will be responsible for expanding our automated processes, enhancing existing ETLs and developing quality controls by leveraging 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 stakeholders 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 clearly, ensuring complex information is articulated in a meaningful way to people and senior leaders across the business 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 it's data is used and consumed by our clients Work with clients on ad-hoc basis, either in support of questions around the dataset or the technology behind it or as part of collaboration on automation projects with various Treasuries& Central Banks 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. 4 years of Python programming and scripting in a production environment 4 years of experience working with databases either SQL or NoSQL Understanding of Machine Learning, applied statistics and data analytics Understanding and experience of large-scale, distributed systems Strong problem-solving skills, particularly to modify and improve processes and workflows Excellent written and verbal communication skills to explain technical processes and solutions to business partners and management High attention to detail as well as decision-making and problem-solving skills Ability to work independently as well as in a distributed team environment We'd love to see: Agile/Scrum Project Management experience Experience using data analysis and visualization tools such as Tableau or QlikSense. Be familiar with the Bloomberg internal Tech Stack and in particular have experience working with BAIT, DFR and DTP 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!