Senior Data Engineer

Intercontinental Exchange (ICE); Greater London; Presencial; GBP 90.000 - 120.000; Jornada completa

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Descripción del empleo

Job Purpose

At Intercontinental Exchange (ICE), we engineer technology, exchanges and clearing houses that connect companies around the world to global capital and derivative markets. With a leading-edge approach to developing technology platforms, we have built market infrastructure in all major trading centers, offering customers the ability to manage risk and make informed decisions globally. By leveraging our core strengths in technology, we continue to identify new ways to serve our customers and transform global markets.

ICE is seeking a Senior Data Engineer who will be responsible for design and optimise SQL queries, develop stored procedures, and participate in the migration and modernisation of legacy applications to support ICE Derivatives and ICE Mortgage. The candidate should have a strong background in SQL and scripting.

Responsibilities

• Provides Snowflake-based data warehouse design and development for projects involving new data integration, migration, and enhancement of existing pipelines.
• Designs and develops data transformation logic using SQL, Snowflake stored procedures, and Python-based scripts for ETL/ELT workloads.
• Builds and maintains robust data pipelines to support reporting, analytics, and application data needs.
• Creates and maintains Snowflake objects like tables, views, streams, tasks, file formats, and external stages.
• Participates in project meetings with data engineers, analysts, business users, and product owners to understand and implement technical requirements.
• Writes technical design documentation based on business requirements and data architecture principles.
• Develops and/or reviews unit testing protocols for SQL scripts, procedures, and data pipelines using automation frameworks.
• Completes documentation and procedures for pipeline deployment, operational handover, and monitoring.
• May mentor or guide junior developers and data engineers.
• Enable real-time and batch data processing architectures that support AI-driven analytics, recommendations, forecasting, and intelligent automation.
• Optimise cloud data platforms for AI scalability, including data lakehouse architectures, semantic layers, and high-performance data retrieval patterns.
• Stays current with Snowflake features, best practices, and industry trends in cloud data platforms.
• Performs additional related duties as assigned.

Knowledge and Experience

• 5+ years of professional experience in data engineering or database development.
• Expert knowledge of Snowflake (Tidal is an added advantage).
• Strong Hands-on experience:
• Writing complex SQL queries and stored procedures
• Database stored procedures, functions, views, and schema design
• Using Streams, Tasks, Time Travel, and Cloning
• Proficiency in database performance tuning and performance optimisation - clustering, warehouse sizing, caching, etc.
• Experience configuring external stages to integrate with cloud storage (AWS S3, Azure Blob, etc.).
• Experience writing Python/Shell scripts for data processing.
• Proficiency in using Git and working within Agile/Scrum SDLC environments.
• Familiarity working in a Software Development Life Cycle (SDLC) leveraging Agile principles.
• Excellent analytical, decision-making, and problem-solving skills.
• Ability to multitask in a fast-paced environment with a focus on timeliness, documentation, and communication with peers and business users.
• Strong verbal and written communication skills to engage both technical and non-technical audiences at various organisational levels.
• Bachelor's degree in computer science, Engineering, or related field (or equivalent experience).