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# Senior Data Engineer

- **Company:** Yum
- **Location:** Greater London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Data Analysis, Cloud Database, Data as a Services, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Warehousing, Python (Programming Language), Machine Learning, Performance Tuning, Software Engineering, Data Processing, Snowflake, Data Pipelines
- **Published:** September 8, 2026
- **Apply:** https://www.collegerecruiter.com/job/2840675872-senior-data-engineer

## About the Role

Yum! Brands is seeking a highly skilled and experienced Senior Data Engineer to join our UK-based team. This role is ideal for someone with a strong background in data engineering who thrives in solving complex problems, building scalable data infrastructure, and collaborating across teams to drive data-driven decision-making., * Bachelor's degree with at least 5 years of experience, or equivalent.

 * In-depth knowledge and expertise in data engineering, including: Snowflake (data warehousing and performance tuning)
 * Informatica (ETL/ELT development and orchestration) - nice to have
 * Python (data processing and scripting) - required
 * AWS (data services such as S3, Glue, Redshift, Lambda) - required
 * Cloud data practices and platform - AWS required
 * Basic knowledge of related disciplines such as data science, software engineering, and business analytics.
 * Proven ability to independently resolve complex problems and develop scalable data solutions.
 * Strong communication skills, with the ability to effectively convey technical concepts to diverse audiences., * Master's degree with at least 3 years of experience, or equivalent.
 * Experience leading smaller projects or phases of larger initiatives.
 * Familiarity with data governance and data quality best practices.
 * Experience with advanced analytics and machine learning techniques.
 * Strong analytics skillset, including experience working with analytical teams, interpreting business KPIs, and enabling data-driven insights.

## Description

* Independently resolve a diverse range of complex data engineering problems where precedent may not exist.
 * Apply sound judgment in evaluating and selecting methods to develop scalable data solutions.
 * Design, build, and optimize data pipelines, architectures, and datasets to support business intelligence and advanced analytics.
 * Create or significantly improve existing data solutions, processes, and tools to enhance data quality, reliability, and performance.
 * Operate with minimal guidance on nearly all assignments; work is reviewed at critical milestones and upon completion.
 * Serve as a mentor and technical resource for less experienced engineers.
 * Collaborate with cross-functional teams including analytics, product, and engineering to deliver impactful data solutions.
 * Represent the data engineering function in internal and external project discussions.
 * Communicate complex technical concepts effectively to both technical and non-technical stakeholders.
 * Influence practices and procedures within the department.


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