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 must possess deep expertise in Snowflake, Microsoft Fabric, AWS, and Kafka to build scalable data platforms and Lakehouse architectures.
LSEG offers a collaborative culture that values innovation, integrity, and partnership, providing tailored benefits including healthcare, retirement planning, and paid volunteering days.
Matching Summary
Match Score: 75
The role is responsible for designing and implementing data engineering solutions across the enterprise tooling ecosystem to enable analytics and AI-driven insights.
Skills & Requirements
Must-have
Strong SQL and Python for ETL/ELT
Experience with Snowflake and Microsoft Fabric
Hands-on with Lakehouse formats like Parquet
Solid understanding of AWS cloud data architectures
API ingestion and streaming with Kafka
Nice-to-have
Snowpark and Fabric Notebooks experience
CI/CD for data pipelines and IaC basics
Data quality tools like Great Expectations
Event-driven patterns and schema registry
Global experience working with multiple locations
Key Requirements
Manager career stage
Strong planning and stakeholder management skills
Ability to work effectively with cross-functional teams globally