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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:

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.

What's the Role?

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.

We'll Trust You To:

+ Use your established experience to design, build, and automate robust, scalable data pipelines for ingesting, transforming, and loading both structured and unstructured data from diverse and numerous sources, leveraging Bloomberg’s technology stack

+ Lead the development and implementation of proactive programmatic data quality strategies with enhanced observability, transparency, and robust remediation workflows, enabling rapid identification and resolution of data issues with minimal client disruption

+ Use your analytical experience to analyze internal processes to identify gaps and opportunities, engineering innovative, efficient workflows that enhance scalability, data coverage, and client value

+ Collaborate closely with cross-functional and counterpart teams to ensure alignment on consistent principles, shared tooling, and measurable outcomes

+ Mentor early-career team members, fostering collaboration, knowledge-sharing, and professional growth

+ Lead cross-functional, strategic data initiatives, applying proven project management skills to ensure successful project delivery aligned with business objectives

You'll Need to Have:

+ 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

We'd love to See:

+ DAMA Certified Data Management Professional, Data Capability Assessment Model certification

+ Direct experience with equity corporate actions data, or similar financial data sets

+ Keen interest in financial markets

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.

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [email protected]