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Location Tokyo Business Area Data Ref # 10053212 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 we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients. The Role As a Data Engineer on the BNEF Data Team, you'll help expand Bloomberg's renewable energy databases and deliver industry-leading data products. You'll design and optimize data models, automated pipelines, workflows, and data quality frameworks that power our products at scale. Working at the intersection of technology and the energy transition, you'll drive automation, improve operational efficiency, and influence best practices for data lifecycle management. Success in this role requires deep technical expertise, energy domain knowledge, and the ability to partner effectively with Engineering, Product, and Commercial teams to deliver innovative solutions for our clients. You'll collaborate with colleagues across Bloomberg's global Data and BloombergNEF Product teams in Princeton, New York, London, and Asia to shape the future of our data offerings. We'll Trust You To Design, build, and automate scalable workflows and data pipelines supporting data acquisition, quality control, and operational processes Apply statistical methods, programming, machine learning, and automation technologies to improve data quality, generate insights, and enhance efficiency Lead incident and problem management, including troubleshooting, root cause analysis, remediation, and preventative solutions Partner with Engineering, Product, and Commercial teams to develop, enhance, and integrate data products and workflows Identify and implement process improvements through automation and workflow optimization, reducing manual effort and increasing scalability Translate stakeholder and customer feedback into data strategies, product enhancements, and execution roadmaps Monitor industry, market, and dataset developments, make data-driven decisions, and communicate project and operational outcomes through metrics and reporting You'll Need To Have Bachelor's degree or higher in Computer Science, Mathematics, STEM, or a related field, or equivalent professional experience 3-5 years of experience in data management, with a track record of improving data quality, accuracy, efficiency, and timeliness Strong data analysis and profiling skills using Python, SQL, Excel, and modern data processing technologies Experience with analytics and visualization tools such as Qlik Sense, Tableau, or Splunk Experience in data modeling, semantic data structures, or knowledge graph concepts Proven project management skills with the ability to prioritize competing demands and drive workflow, process, and operational improvements through automation, AI/LLM solutions, and scalable technologies Strong problem-solving skills, with the ability to develop innovative solutions and thrive in a collaborative, fast-paced environment Excellent communication and stakeholder management skills in English, with the ability to influence and collaborate effectively across teams and with clients Demonstrated continuous career growth within an organization We'd Love To See Experience with the Bloomberg Terminal or Bloomberg Market Concepts (BMC) certification Knowledge of renewable energy or a related industry, with a strong interest in data and the energy transition Proficiency in Chinese or another Asian language to support multilingual data coverage If This Sounds Like You Apply if you think we're a good match. We'll get in touch to let you know what the next steps are but in the meantime feel free to have a look at this: Learn More About Our Offices And Benefits Tokyo | Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.