EMEA Sovereign Debt Data Team Lead

Bloomberg; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

Bloomberg seeks a motivated Team Leader to oversee sovereign debt data coverage for the EMEA region. You will manage a team of data management professionals, align technical strategy with domain vision, and deliver high-quality data through automated pipelines.

You will partner with Engineering, Sales and Product, mentor staff, and drive data governance, schema improvements, and data ingestion optimizations to support client needs and market-moving information.

Qualifications

• You’ll need at least 3+ years of professional leadership experience.
• Experience in data management roles such as data quality, data modelling, or data engineering.
• Expert-level knowledge of data processing paradigms and related tools and technologies.

Responsibilities

• Recruit, mentor, and develop a team of domain experts and data management professionals who are experts in financial data, data analysis, and project management
• Lead large-scale programs (technical and operational) with enterprise-wide impact through effective data governance, cross-team organization, dependency, risk management, and leadership engagement
• Identify and implement improvements to schemas, workflows, automated data ingestion pipelines and operational processes
• Ensure dataset consistency and quality while effectively collaborating with external and internal clients
• Have strong technical skills (python, UNIX, GitHub, data visualization tools) and proven ability in developing automated data ingestion pipelines
• Participate in technical discussions and provide insights on system design, code reviews and other relevant areas

Skills

Leadership

Data management

Python

UNIX

GitHub

Data visualization

Data ingestion pipelines

Project management

Tools

GitHub

UNIX

Job description

Bloomberg seeks a motivated Team Leader to oversee sovereign debt data coverage for the EMEA region. You will manage a team of data management professionals, align technical strategy with domain vision, and deliver high-quality data through automated pipelines.

You will partner with Engineering, Sales and Product, mentor staff, and drive data governance, schema improvements, and data ingestion optimizations to support client needs and market-moving information.