Senior Data Management Professional – Data Engineer

Role Overview

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.

What You Will Do

You’ll collaborate with colleagues across Bloomberg’s global Data and BloombergNEF Product teams to shape the future of our data offerings. You’ll design, build, and automate scalable workflows and data pipelines supporting data acquisition, quality control, and operational processes.

Why It Might Be a Fit

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.

Requirements

• 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

Benefits

• Competitive salary
• Opportunities for career growth and professional development
• Collaborative and dynamic work environment
• Opportunities to work with cutting-edge technologies and innovative solutions
• Flexible work arrangements and remote work options
• Comprehensive benefits package
• Paid time off and holidays
• Professional development and training opportunities