Dataops Lead

LSEG

Advanced sql and data warehouse principles
Etl/elt and data lakes expertise
Python for analytics and automation
The role involves leading the delivery of scalable, resilient data operations and governance frameworks within the Capital Markets Data Factory

Job Summary

  • The role involves leading the delivery of scalable, resilient data operations and governance frameworks within the Capital Markets Data Factory.
  • Candidates will partner with stakeholders to improve documentation, reduce risk, and unlock new value through integration with Model Context Protocol agents.
  • LSEG fosters a culture of innovation, diversity, and excellence where employees are encouraged to broaden their skills and contribute to meaningful careers.

Matching Summary

The role involves leading the delivery of scalable, resilient data operations and governance frameworks within the Capital Markets Data Factory.

Skills & Requirements

Must-have

  • Advanced SQL and Data Warehouse principles
  • ETL/ELT and data lakes expertise
  • Python for analytics and automation
  • Snowflake RDBMS proficiency
  • Git CI/CD pipelines and AWS Cloud
  • Data lineage and metadata management
  • Incident management and root cause analysis

Nice-to-have

  • Capital Markets Equities and FX datasets
  • Regulatory frameworks MiFID II GDPR
  • Model Context Protocol integration
  • Semantic model creation experience
  • Mentoring and professional growth focus
  • Agile backlog and Jira governance

Key Requirements

  • Senior Associate career stage
  • Hands-on experience with Snowflake preferred
  • Strong analytical and problem-solving skills

Work Rights

Not specified

Tailored Resume

Cover Letter