Senior Snowflake Data Engineer for AI-Driven Pipelines

Intercontinental Exchange (ICE); Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Intercontinental Exchange (ICE) in London is seeking a Senior Data Engineer to design and optimise Snowflake-based data pipelines, develop SQL queries and Python scripts, and support migration of legacy systems.

You will build scalable data architectures for AI-driven analytics, collaborate with data analysts and product teams, and mentor junior engineers while delivering robust documentation.

Qualifications

• 5+ years of professional data engineering or DB development experience.
• Bachelor's degree in computer science, engineering, or related field.
• Strong SQL and Snowflake experience with data warehousing.
• Experience with Python for data processing and scripting.
• Familiarity with SDLC and Agile methodologies.
• Excellent problem-solving and communication skills.

Responsibilities

• Designs Snowflake-based data warehouse solutions for new data integration and migration.
• Develops SQL queries, Snowflake stored procedures, and Python scripts for ETL/ELT.
• Builds and maintains data pipelines supporting reporting and analytics.
• Creates Snowflake objects: tables, views, streams, tasks, and external stages.
• Participates in meetings with data engineers, analysts, and product owners.
• Writes technical design documentation from business requirements.
• Develops unit tests for SQL scripts and data pipelines.
• Documents deployment, handover, and monitoring procedures.
• Mentors junior developers and data engineers when needed.
• Supports real-time and batch data processing architectures for AI-driven analytics.
• Optimises cloud data platforms for AI scalability and performance.
• Stays current with Snowflake features and industry trends.
• Performs additional related duties as assigned.

Job description

Intercontinental Exchange (ICE) in London is seeking a Senior Data Engineer to design and optimise Snowflake-based data pipelines, develop SQL queries and Python scripts, and support migration of legacy systems.

You will build scalable data architectures for AI-driven analytics, collaborate with data analysts and product teams, and mentor junior engineers while delivering robust documentation.