Senior Data Management Professional – Metadata, Data Engineering & Automation - Knowledge Graph Group
Bloomberg28 days ago
Dublin, IrelandSenior
Responsibilities
- Develop expertise across Bloomberg’s internal and client-facing metadata and semantic-model platforms.
- Own metadata, data-quality, and dataset-onboarding work from requirements through validation, release, and post-release remediation.
- Analyze data and metadata inventories to identify inconsistencies, gaps, dependencies, and standardization opportunities.
- Investigate quality issues using profiling, validation, root-cause analysis, and structured data analysis.
- Design automation, validation tooling, workflow tooling, and integrations for repetitive manual processes.
- Build monitoring, reporting, validation, and change-impact processes to measure data and metadata quality.
- Contribute to semantic modeling, metadata alignment, and consistency of concepts, classifications, enumerations, and field definitions.
- Partner with Product, Data, and Engineering teams on tooling, services, APIs, workflow improvements, and scalable technical solutions.
- Evaluate AI-assisted and agent-assisted tooling for metadata enrichment, classification, validation, and operational workflows.
- Measure quality, operational, and manual-effort impacts of process and automation improvements.
- Progress toward independent ownership of projects and partner relationships and help mentor newer team members.
Requirements
- Bachelor’s degree or higher in a relevant technical, quantitative, information-management, or financial discipline, or equivalent professional experience.
- At least 4 years of experience in data management, data engineering, metadata management, data quality, data modeling, analytics, or a related discipline.
- Hands-on experience working with structured data using Python, SQL, or similar technologies.
- Experience investigating data or metadata quality issues through profiling, validation, and root-cause analysis.
- Strong understanding of data quality, metadata, data modeling, and data lifecycle management.
- Strong analytical judgment and ability to understand complex data models, identify dependencies, and resolve ambiguous problems.
- Experience building automation, analytical tooling, validation processes, or other technical solutions for data workflows.
- Ability to work effectively across Product, Data, and Engineering teams and explain technical concepts to varied audiences.
- Preferred experience with financial datasets, financial markets, or large-scale data platforms.
- Preferred familiarity with Bloomberg Terminal, BQL, Calc_Rt, XDM, or Enterprise Data products.
- Preferred experience with metadata registries, data catalogs, semantic layers, controlled vocabularies, taxonomies, or ontologies.
- Preferred familiarity with RDF, OWL, SKOS, SHACL, or GraphQL.
- Preferred experience with automated validation, monitoring, regression testing, data orchestration, or governed production-change workflows.
- Preferred experience applying AI, machine learning, or LLM-based techniques to metadata and workflow problems.
About Bloomberg
Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency and efficiency, and fairness to markets. We help connect influential communities across the global financial ecosystem via reliable technology solutions that enable our customers to make more informed decisions and foster better collaboration. We challenge the status quo through constant innovation. We collaborate broadly because we know that other perspectives matter. We put our customers first, as a guiding beacon. And we believe doing the right thing – by our people, our clients, and our communities – is the best thing for our business.