What are the responsibilities and job description for the Senior Data Management Professional - Data Engineer- ESG position 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 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.
Whats 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 products 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 :
We'd love to see :
