The Senior Data Automation Engineer role at Bloomberg focuses on building a decision engine that evaluates competing data inputs to ensure accuracy and timeliness. The position is part of the Entities Data Management Team, which manages core entity data for financial products. The team is modernizing data sourcing and governance, emphasizing automation and scalability. This role requires collaboration with various stakeholders to align technical architecture with business needs.

• 4+ years of experience in data engineering, data architecture, or data automation roles.
• Experience working with financial data, especially within reference or entity/company data domains.
• Strong proficiency in a programming language such as Python, Java, or Scala.
• Strong SQL skills for data transformation, validation, and reconciliation.
• Demonstrated experience working with large-scale datasets in reference or entity data domains.
• Deep understanding of data governance, quality frameworks, and metadata management.
• Excellent communication skills to explain technical decisions to stakeholders.

• Design and build the data arbitration and decision engine to resolve conflicts across multiple data sources.
• Drive the standardization and automation of ingestion pipelines across structured, unstructured, and internal sources.
• Conduct data profiling and analysis to identify quality gaps and opportunities for process improvement.
• Implement data lineage, observability, and monitoring frameworks to ensure transparency and reliability.
• Collaborate with Engineering and Product to define and evolve platform requirements and technical architecture.
• Support the integration of AI/LLM-based tools in data processing and enrichment strategies.

• Bloomberg offers a comprehensive suite of benefits designed to support health, financial stability, and work-life balance.