Senior Data Engineer: Snowflake & AI-Ready Pipelines

Intercontinental Exchange Holdings, Inc.; City Of London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Intercontinental Exchange (ICE) seeks a Senior Data Engineer to design and optimise SQL queries, develop stored procedures, and migrate legacy apps to support ICE Derivatives and ICE Mortgage.

The candidate will design Snowflake-based data warehouses, develop ETL/ELT pipelines using SQL, Python, and Snowflake procedures, and collaborate with data engineers, analysts and product owners to deliver scalable data solutions.

Qualifications

• Bachelor's degree in computer science, engineering or related field (or equivalent experience).
• 5+ years of data engineering or database development experience.
• Strong SQL queries and stored procedures.

Responsibilities

• Designs Snowflake-based data warehouse solutions for new data integration and migration projects.
• Develops data transformation logic using SQL, Snowflake procedures, and Python-based scripts for ETL/ELT workloads.
• Builds and maintains data pipelines to support reporting and analytics.
• Maintains Snowflake objects: tables, views, streams, tasks, file formats, external stages.
• Participates in meetings with data engineers, analysts, and product owners to implement requirements.
• Writes technical design documentation and develops unit tests for SQL scripts and pipelines.
• Supports deployment and monitoring procedures and may mentor junior engineers.
• Enables real-time and batch data processing for AI-driven analytics and forecasting.

Skills

SQL

Python scripting

ETL/ELT

Data modeling

Analytical thinking

Communication

5+ years experience

Education

Bachelor's degree in computer science or related field

Tools

Snowflake

Git

AWS S3

Azure Blob

Time Travel / Cloning

Job description

Intercontinental Exchange (ICE) seeks a Senior Data Engineer to design and optimise SQL queries, develop stored procedures, and migrate legacy apps to support ICE Derivatives and ICE Mortgage.

The candidate will design Snowflake-based data warehouses, develop ETL/ELT pipelines using SQL, Python, and Snowflake procedures, and collaborate with data engineers, analysts and product owners to deliver scalable data solutions.