Senior Enterprise Tools Engineer

LSEG

Not specified; not specified; healthcare, retireme...
Strong sql and python for etl/elt
Experience with snowflake and microsoft fabric
Hands-on with kafka streaming and api ingestion
The role is responsible for designing and implementing data engineering solutions across the enterprise tooling ecosystem to enable analytics and AI-driven insights

Job Summary

  • The role is responsible for designing and implementing data engineering solutions across the enterprise tooling ecosystem to enable analytics and AI-driven insights.
  • Candidates will collaborate closely with cross-functional teams including architecture, analytics, and business stakeholders to deliver trusted, performant, and compliant datasets.
  • LSEG values innovation, quality, and continuous improvement within a dynamic organization of 25,000 people across 65 countries.

Matching Summary

The role is responsible for designing and implementing data engineering solutions across the enterprise tooling ecosystem to enable analytics and AI-driven insights.

Salary

Not specified; Not specified; Healthcare, retirement planning, paid volunteering days and wellbeing initiatives

Skills & Requirements

Must-have

  • Strong SQL and Python for ETL/ELT
  • Experience with Snowflake and Microsoft Fabric
  • Hands-on with Kafka streaming and API ingestion
  • Solid understanding of AWS cloud data architecture
  • Lakehouse formats like Parquet Delta Iceberg

Nice-to-have

  • Snowpark and Fabric Notebooks experience
  • CI/CD for data pipelines and Terraform basics
  • Data quality tools like Great Expectations
  • Event-driven patterns and schema registry knowledge
  • Global experience working with multiple locations

Key Requirements

  • Deep expertise in Snowflake, Microsoft Fabric, AWS, and Kafka
  • Proven ability to build scalable Lakehouse architectures
  • Strong planning and stakeholder management skills

Work Rights

Not specified

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