Senior Data Management Professional - Data Engineer - Private Deals

The Private Deals Data team is responsible for Bloomberg's private transactions data model-an essential foundation for understanding global private markets. This data defines and enriches private companies, linking them to. Private company data plays a critical role in research, investment analysis, compliance, and due diligence. Integrating diverse datasets with our core private company data helps clients uncover insights, validate exposures, monitor evolving risks, and identify new opportunities in opaque and fast-growing markets., We are seeking a Data Engineer to design, build, and maintain the data pipelines, models, and integrations that power Bloomberg's private company data ecosystem. This role focuses on embedding M&A and Private Market data into Bloomberg's semantic model and analytical frameworks such as BQL-enabling richer discoverability and seamless integration across client workflows. You will develop robust ETL processes, manage schema mappings, and implement scalable data transformations to ensure consistency and reliability. You'll also contribute to enhancing Bloomberg's private company valuation product by extending the data model, implementing versioning, and ensuring data provenance is fully traceable. Working closely with Product, Engineering, and Data teams, you'll play a central role in shaping the technical foundation that underpins Bloomberg's evolving private market offerings.

You Will:

• Design, build, and maintain data pipelines and models to integrate M&A and Private data into Bloomberg's semantic model and BQL.
• Perform schema mapping, normalization, and transformation to align diverse datasets with internal standards.
• Implement scalable ETL processes ensuring completeness, accuracy, and transparency of data.
• Extend the valuation data model to support company-level valuations, versioning, and auditability.
• Partner with Product and Data teams to define and implement data quality and consistency checks.
• Develop documentation and reusable frameworks for data ingestion and integration.
• Support discoverability and search capabilities by ensuring data is optimized for BQL and function-layer exposure.
• Contribute to continuous improvement of data engineering practices and tools.

• 3+ years of experience in data engineering, software engineering, or related fields.
• Strong programming skills in Python, Java, or Scala, with proficiency in data processing frameworks (e.g., Spark, Flink, or Beam).
• Solid understanding of data modeling, schema design, and ETL architecture.
• Experience working with relational and columnar data stores (e.g., SQL, Postgres,BigQuery).
• Familiarity with semantic data models or knowledge graphs.
• Understanding of data versioning, provenance tracking, and metadata management.
• Strong problem-solving and debugging skills with attention to scalability and performance.
• Comfort working in collaborative, cross-functional environments.

We'd Love to See:

• Experience integrating financial or private market data.
• Familiarity with Bloomberg Query Language (BQL) or similar query interfaces.
• Understanding of valuation data, company financials, or transaction modeling.
• Experience working in Agile teams.
• Passion for building high-quality, transparent, and auditable data systems.

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint a complete picture for our clients-around the clock and around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology-quickly and accurately. We apply product thinking, domain expertise, and technical insight to continuously improve our data offerings, ensuring they remain reliable, scalable, and fit-for-purpose in a fast-changing landscape., Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.