Pfont facearial size3Bloomberg 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 - all while providing platinum customer support to our clients./font/ppfont facearial size3br/font/ph2font facearial size3strongOur Team:/strong /font/h2pfont facearial size3Bloomberg runs on data, and in the Data team were responsible for acquiring and providing key regulatory data to our clients. We collect, analyse, process and publish the data which is the backbone of our iconic Bloomberg Terminal - the facts and figures which ultimately move the financial markets.nbsp;Reference data for regulatory reporting plays an ever-increasing role in our clients' workflows, and the Data team fulfils an important function in supporting Bloomberg users with regulatory change. We analyze regulation, determine the reference data needs, and make this data available on the Terminal in order to support the regulatory reporting needs of our clients. We are the cornerstone of several of Bloomberg's regulatory solutions./font/ppfont facearial size3br/font/ph2font facearial size3strongWhat's the role?/strong /font/h2h2span stylefont-weight: normal;font facearial size3As Data Engineer you would take on the more exciting aspects of our data product, from data engineering to business analytics, using different tools. Bloomberg Data Engineers possess an outstanding combination of technical, interpersonal and communication skills, which they apply to spot gaps and find improvement opportunities to our product's technologies. They are seen as technical leaders across the organization. As such, we are looking for a highly motivated individual whos passionate about building workflows and analyzing data. You will apply your problem-solving skills to handle the database, pipelines, automation processes and workflows that feed our products. In addition to that, you will analyze our data using business intelligence tools, to get the best insights out of it. You will be encouraged to lead projects, collaborate with different partners, and mentor junior members of the group who are looking to develop technically./font/span/h2divspan stylefont-weight: normal;font facearial size3br/font/span/divh2strongfont facearial size3Well Trust You To:/font/strong/h2ullifont facearial size3Develop, scale, and maintain the data pipelines and processes that interact with our structured products and corporate bond databases/font/lilifont facearial size3Collaborate with a wide variety of external partners and internal departments including Engineering, Product and Sales on strategic product development and execution/font/lilifont facearial size3Use statistics and data visualization to generate insights about ongoing operations and projects and communicate the results effectively/font/lilifont facearial size3Incorporate machine learning and statistics to detect anomalies and drive quality improvement in areas such as accuracy, completeness, consistency and reliability/font/lilifont facearial size3Ensure all non-financial risks associated with regulatory data being captured and supervised are minimised, and the appropriate mitigating actions and controls are correctly implemented/font/lilifont facearial size3Experience in using technology to solve problems and optimize current processes in areas such as data quality, data acquisition, operations, reliability, and content alongside domain experts and technical account managers/font/li/uldivfont facearial size3br/font/divh2strongfont facearial size3You'll Need to Have:/font/strong/h2h2font facearial size3 stylefont-weight: normal;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./font/h2ullifont facearial size34 years of Python programming and scripting in a production environment/font/lilifont facearial size34 years of experience working with databases either SQL or NoSQL/font/lilifont facearial size3Understanding of Machine Learning, applied statistics and data analytics/font/lilifont facearial size3Understanding and experience of large-scale, distributed systems/font/lilifont facearial size3Strong problem-solving skills, particularly to modify and improve processes and workflows/font/lilifont facearial size3Excellent written and verbal communication skills to explain technical processes and solutions to business partners and management/font/lilifont facearial size3High attention to detail and degree of shown decision-making and problem-solving skills/font/lilifont facearial size3Ability to work independently as well as in a distributed team environment as well as influence others and lead change/font/lilifont facearial size3Please 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./font/li/uldivfont facearial size3br/font/divh2strongfont facearial size3We'd Love to See:/font/strong/h2ullifont facearial size3Interest of Financial Regulation/font/lilifont facearial size3Interest in mark-up languages (XML, JSON and/or HTML)/font/lilifont facearial size3Agile/Scrum Project Management experience/font/lilifont facearial size3Experience using data analysis and visualization tools such as Tableau or QlikSense/font/li/uldivfont facearial size3br/font/divh2strongfont facearial size3Does this sound like you?/font/strong/h2h2span stylefont-family: arial; font-size: medium; font-weight: normal;Apply if you think were a good match. Well get in touch to let you know what the next steps are/span/h2