National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Engineer

Yum! Brands
Greater London
1 month ago
Create job alert

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 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 S, 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 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.

Yum! Brands Culture


At Yum! Brands, we believe in the power of collaboration and innovation. Our culture is built on a foundation of trust, respect, and integrity. We are committed to fostering a diverse and inclusive workplace where every team member can thrive. As a Senior Data Engineer, you will have the opportunity to work on cutting-edge projects and make a significant impact on our data strategy. Join us in our mission to create the world's most loved, trusted, and fastest-growing restaurant brands.

Beware of fake job postings using Yum! and/or our brand logos -- KFC, Pizza Hut, Taco Bell and Habit Burger & Grill -- on fraudulent sites. Yum! Brands only posts jobs on official career pages and never asks for money during onboarding. Avoid unsolicited contacts via Telegram, WhatsApp or similar social apps.

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.