divdivfont size=3Bloomberg 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.brbrbr/font/div/divdivfont size=3Our Team:/font/divdivfont size=3Our Bloomberg Fixed Income Data team is responsible for the timely and accurate publication of new bonds being brought to market and updating its data through the lifecycle . Responsibilities also include developing automated pipelines for ingestion and publication of data, enhancing our primary markets dataset, and finding opportunities to expand our data product offering through client engagement. Our team works closely with internal consumers of our data including the News, Evaluated Pricing, and Index teams. We also heavily collaborate with our counterparts in Product, Sales amp; Engineering.brbrbr/font/divdivfont size=3What’s the role?/font/divdivfont size=3We are looking for a Data Engineer with an outstanding combination of technical, interpersonal and communication skills, which they can apply to spot gaps and find improvement opportunities to our product’s technologies. Our Data Engineers are seen as technical leaders across the organization. As such, we are looking for a highly motivated individual who is passionate about building automated workflows and pipelines, to support the transformation ofnbsp; bond related datasets. You will apply your problem-solving skills to handle the pipelines, automation processes and workflows that feed our products. In addition to that, you will be tasked to measure and articulate the impact of your initiatives using business intelligence tools. You will be encouraged to lead projects globally, collaborate with partners across the business, and mentor junior members of the group who are looking to develop technically.brbrbr/font/divdivfont size=3Well Trust You To:/font/divdivullifont size=3Understand financial markets and client needs to drive the new issues data product strategy/font/lilifont size=3Design and develop automated solutions via microservices for data ingestion, standardization, ETL, enrichment and more./font/lilifont size=3Collaborate with Engineering to develop our API offering/font/lilifont size=3Collaborate with a wide variety of external partners and internal departments including Engineering, Product and Sales on strategic product development and execution./font/lilifont size=3Define, measure and manage impact of your work using statistics and data visualization tools./font/lilifont size=3Build quality data workflows to verify and validate third party data./font/lilifont size=3Communicate with impact, ensuring relevant information is articulated in a meaningful way to wide and varied audiences, including senior executives./font/li/ul/divdivfont size=3brYou’ll Need to Have:/font/divdivullifont size=3A BA/BS degree or higher in Computer Science, Data Science, Mathematics, or relevant data technology field, or equivalent professional work experience/font/lilifont size=34+ years of Python programming and scripting in a production environment/font/lilifont size=3Experience working with databases either SQL or NoSQL/font/lilifont size=3Experience implementing high volume, low-latency ETL pipelines/font/lilifont size=3Strong problem-solving skills, particularly to modify and improve processes and workflows/font/lilifont size=3Excellent written and verbal communication skills to explain technical processes and solutions to business partners and management/font/lilifont size=3High attention to detail and degree of shown decision-making and problem-solving skills/font/lilifont size=3Ability to work independently as well as in a multi-functional team environment/font/lilifont size=3Proven ability to influence others and lead change/font/li/ul/divdivfont size=3brWe’d Love to See:/font/divdivullifont size=3Corporate bonds knowledge/font/lilifont size=3Experience mentoring and teaching data skills to others/font/lilifont size=3Understanding of Data Science, Machine Learning (particularly 2D NLP), applied statistics and data analytics/font/lilifont size=3Agile/Scrum Project Management experience/font/lilifont size=3Experience using data analysis and visualization tools such as Tableau or QlikSense.brbr/font/li/ul/divdivfont size=3Does this sound like you? Apply if you think were a good match. Well get in touch to let you know what the next steps are!/font/div Salary: 110000,170000,USD,Annual 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 is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_recruit@bloomberg.net