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 apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to improve our systems, products and processes - all while providing platinum customer support to our clients. **Our Team** The ESG Team provides our client with fast and accurate ESG data so that they can stay at the top of their game. Using innovative, collaborative, and client focused approaches to data extraction, aggregation, and standardization using cutting edge technology, the ESG data team is responsible for enhancing ESG content for the Bloomberg Terminal and Enterprise products. This includes company-reported and normalized metrics, industry-specific metrics, proprietary ESG scores, climate and regulatory data. Our ESG data is displayed alongside fundamental data, backed by news for context, and used to power a growing suite of sustainable finance products. **What’s the role?** The ESG Team is looking for a Data Engineer who can combine deep interest in data and technology with a passion in financial markets. In this role you will need to demonstrate a strong technical understanding of both workflow automation and sophisticated data analysis and business intelligence to drive meaningful customer outcomes. You will act as a technical leader by setting the strategy in achieving quality and consistency, and delivering scalable solutions across Bloomberg Data. You are expected to transform the responsibilities of the team and scale the impact beyond what's possible today. As a Data Engineer you will apply your problem-solving skills to handle the data pipelines, automation processes and human-in-the-loop workflows that feed our ESG Data Products. In addition to the data pipelining work, you will analyze our data from an operational as well as product standpoint. This might be by building the associated ETLs or by designing prototype applications with our Engineering teams. You will be expected to lead projects, collaborate with Engineering and Product, and mentor junior members of the group who are looking to develop technically. **We'll trust you to:** + Proactively build strategies to analyze processes and data quality questions to ensure our datasets are fit-for-purpose + Find opportunities and build automated solutions for ETL pipelines, human-in-the-loop data processing, and tooling to scale the growth of our product + Capture feedback from internal and external workflow users including clients, vendors and global ESG teams, and synthesize this feedback into a meaningful action plan + Understand the software development lifecycle stages, and identify the right-sized solution for the right phase of a product’s development + Get to know how data moves through a complex system and identify the best ways to constructively and safely expose it to stakeholders + Leverage technical knowledge of Bloomberg's proprietary or open-source stack to implement high-standard and innovative solutions + Provide mentorship and guidance to junior team members and contribute to their professional development **You'll need to have:** + 4+ years of Python programming and scripting in a production environment + 4+ years of experience working with databases using SQL + Familiarity with various databases, schemas, modeling, as well as structured and unstructured formats (PDF, HTML, XBRL, JSON, CSV etc.) + Experience in crafting and developing data quality metrics and reporting as a part of a bigger data architecture framework + Experience in improving and automating workflows and processes + High attention to detail and degree of shown decision-making and problem-solving skills + Powerful collaboration skills to work across departments and regions, excellent written and verbal communication skills, especially when explaining technical processes and solutions to business partners and management + Ability to work independently as well as in a distributed team environment **We'd love to see:** + Financial Markets experience including an understanding of the Sustainable Finance industry + Understanding of Data Governance and Data Management, supported by industry certifications (e.g. DAMA CDMP, DCAM, etc.) + Exposure to the Bloomberg Terminal, Bloomberg API’s or Enterprise Data products + Proven understanding of software development life cycle (SDLC) methodologies + Knowledge of sophisticated statistical methods and/or Machine Learning, Artificial Intelligence, and Natural language Processing in business use-cases 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