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 workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.

Our team is responsible for acquiring and maintaining the full life-cycle of equity corporate actions data— from inception of public companies through IPOs, to capital distributions like cash dividends, to financing of M&A activity, and everything in-between in the equity instrument lifecycle. Data management expertise, cross-functional collaboration, deep domain knowledge, and thoughtful technology application are critical elements in delivering the high-quality data to our well established client base and what they expect from this foundational dataset. Our corporate action data is the main building block in Bloomberg’s Equity product offering.

We’re seeking an established Data Engineer with a passion for finance, data, and technology who has extensive experience building data management solutions. You’ll be responsible for strategizing, designing, and implementing data pipelines and remediation workflows, ensuring observability, transparency, and continuous improvement of pipeline performance and quality of output. In this role, you’ll also act as a technical leader—guiding design decisions, mentoring team members, and owning the end-to-end delivery of data solutions that address evolving client and market needs. You’ll work closely with colleagues in your immediate team, alongside partners in Engineering and Product to deliver value for our clients.

You won’t just be executing on individual tasks; you’ll own and lead technical projects from concept to production, designing solutions that integrate seamlessly into our existing data ecosystem. Your leadership in data engineering best practices will help shape our approach to data ingestion, data automation, and ultimately data quality experienced by our clients. You will play a key role in mentoring other team members and contributing to the continual development of technical skills within the wider team. Your ability to think big, drive innovation, and execute with foresight will be critical to our success. If you’re ready to combine technical expertise with a strategic mindset and deliver real impact to the financial markets, we’d love to speak with you.

• 4+ years of experience architecting, designing, and implementing scalable data solutions and ETL pipelines, including monitoring, remediation, and data management workflows across diverse data sources
• 4+ years of hands-on experience with Python and SQL/NoSQL databases, experience with technologies such as Amazon S3, AWS Lambda, Apache Kafka, and Apache Airflow
• Proven ability to mentor team members, clearly communicate complex concepts and methodologies, and effectively collaborate across diverse and distributed teams
• Leadership experience, either as a formal/informal people leader or as a program/project technical lead
• Demonstrated success driving or significantly contributing to strategic initiatives, showcasing continuous career growth within organizations
• Strong problem-solving skills, numerical proficiency, and meticulous attention to detail

Does this sound 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.