Senior Data Engineer

Yum! Brands; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

Yum! Brands is seeking a highly skilled Senior Data Engineer to join their team in Greater London, UK. This role demands expertise in data engineering and a passion for solving complex problems while building scalable data infrastructure.

The ideal candidate should possess a Bachelor's degree and have at least 5 years of experience, with strong skills in Python and AWS. The position involves collaborating across teams to drive data-driven decision-making, ensuring data quality and performance enhancement.

Qualifications

• Bachelor’s degree with at least 5 years of experience, or equivalent.
• In-depth knowledge and expertise in data engineering, including Snowflake.
• Python required for data processing and scripting.

Responsibilities

• Independently resolve a diverse range of complex data engineering problems.
• Design, build, and optimize data pipelines and architectures.
• Collaborate with teams to deliver impactful data solutions.

Skills

Data engineering

Python

AWS

Snowflake

Communication skills

Education

Bachelor's degree with at least 5 years of experience

Tools

Informatica

AWS S3

AWS Glue

AWS Redshift

AWS Lambda

Job description

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.

Key Responsibilities

• 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.