Senior Data Management Professional - Data Engineer - BNEFBloomberg • London, England, United Kingdom
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Senior Data Management Professional - Data Engineer - BNEF
Bloomberg
- London, England, United Kingdom
- London, England, United Kingdom
Über
Description & Requirements
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 implement technology solutions to enhance our systems, products, and processes.
Location:
London
Business Area:
Data
Reference #:
10048165
What’s the role? The BNEF Data Team maintains databases for renewable and conventional power plants, storage projects, and manufacturing plants globally. The team is currently working on a new future‑proof data model and workflow that can facilitate and accelerate coverage expansion for integrated use in downstream analysis across our customer groups (including governments, portfolio managers, corporations, equity analysts, etc.).
As a Data Engineer on the BNEF Data Team, you’re required to understand the data requirements, specify the modeling needs of datasets, and use existing tech‑stack solutions for efficient data ingestion workflows and data pipelining. You will implement technical solutions using programming, machine learning, AI, and human‑in‑the‑loop approaches to make sure our data is fit‑for‑purpose for our clients. You will work closely with our Engineering partners, our Data Product Managers as well as Product teams, so you need to be able to coordinate with multi‑disciplinary and regional teams and have experience in project management and stakeholder engagement. You will need to be comfortable working with large, varied, sophisticated and often unstructured data sets and you will need to demonstrate strong experience in data engineering.
We’ll Trust You To
Build database schema and configure ETL software to onboard new data sets.
Analyze internal processes to find opportunities for improvement and devise and implement innovative solutions.
Build quality data workflows to verify and validate third‑party data.
Contribute to the technical implementation of a new Physical Assets Data Model.
Maintain workflow configurations for critical functions such as acquisition, worklist management, and quality control.
Contribute to the creation of best practices and guidelines for governance.
Partner with Engineering and Product to propose, develop, and implement market‑leading solutions for our clients.
Understand customer needs and markets to ensure our data sets are fit‑for‑purpose and seamlessly integrate with other data products when developing data product strategies.
Stay updated on market, industry and dataset developments related to your area of support.
Make well‑informed decisions in a fast‑paced, ever‑changing environment.
Report on results of ongoing operations and projects, as required.
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.
A BA/BS degree or higher in Computer Science, Mathematics, or relevant data technology field, or equivalent professional work experience.
3+ years of programming and scripting in a production environment (Python, JavaScript, etc.).
3+ years of experience working with databases either SQL or NoSQL.
Understanding and experience of large‑scale, distributed systems as well as ETL logics.
Strong passion for data and the overall energy transition movement.
The ability to think creatively and provide out‑of‑the‑box solutions with an eagerness to learn and collaborate.
Familiarity with data processing paradigms and associated tools and technologies.
Exceptional problem‑solving skills, numerical proficiency and high attention to detail.
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
Track record of collaborating with Engineering to promote code to production (BREs or DTPs).
Knowledge of Machine Learning frameworks.
Experience in conducting technical training and mentoring others.
Proficiency and previous experience working with Bloomberg tech stack such as BBDS, BCOS, DFR, BRE, DTPs.
Prior experience working with QlikSense (both visualizations and load scripting).
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
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Sprachkenntnisse
- English
Hinweis für Nutzer
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