Senior Data Engineer
Senior Data Engineer

Senior Data Engineer

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Solve complex data engineering problems and build scalable data solutions.
  • Company: Join Yum! Brands, a leader in the restaurant industry, known for innovation and collaboration.
  • Benefits: Enjoy a diverse and inclusive workplace with opportunities for growth and impactful projects.
  • Why this job: Make a significant impact on data strategy while working with cutting-edge technology.
  • Qualifications: Bachelor's degree and 5 years of experience in data engineering; Python and AWS skills required.
  • Other info: Be part of a culture built on trust, respect, and integrity.

The predicted salary is between 43200 - 72000 £ per year.

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.

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.

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Senior Data Engineer employer: YUM

Yum! Brands is an exceptional employer that champions collaboration and innovation within a diverse and inclusive workplace. As a Senior Data Engineer in the UK, you will not only work on cutting-edge projects but also enjoy ample opportunities for professional growth and mentorship, all while contributing to our mission of creating beloved restaurant brands.
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Contact Detail:

YUM Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer

✨Tip Number 1

Familiarise yourself with the specific technologies mentioned in the job description, such as Snowflake and AWS. Having hands-on experience or relevant projects to discuss can really set you apart during interviews.

✨Tip Number 2

Network with current or former employees of Yum! Brands on platforms like LinkedIn. Engaging with them can provide insights into the company culture and the specific challenges they face, which you can address in your discussions.

✨Tip Number 3

Prepare to showcase your problem-solving skills by thinking of examples where you've tackled complex data engineering issues. Be ready to explain your thought process and the impact of your solutions.

✨Tip Number 4

Brush up on your communication skills, especially how to convey technical concepts to non-technical stakeholders. Practising this can help you demonstrate your ability to collaborate effectively across teams.

We think you need these skills to ace Senior Data Engineer

Data Engineering
Snowflake
Informatica
Python
AWS (S3, Glue, Redshift, Lambda)
Data Pipeline Design
Data Architecture
ETL/ELT Development
Cloud Data Practices
Data Quality Improvement
Performance Tuning
Problem-Solving Skills
Technical Communication
Collaboration with Cross-Functional Teams
Mentoring and Leadership

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in data engineering, particularly with Snowflake, AWS, and Python. Use specific examples to demonstrate your problem-solving skills and ability to build scalable data solutions.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at Yum! Brands. Discuss how your background aligns with their requirements and mention any relevant projects where you've collaborated across teams to drive data-driven decisions.

Showcase Technical Skills: Clearly outline your technical expertise in data engineering tools and practices. Mention your experience with ETL/ELT development, data governance, and any familiarity with advanced analytics or machine learning techniques.

Prepare for Interviews: If selected for an interview, be ready to discuss complex data engineering problems you've solved. Practice explaining technical concepts in a way that non-technical stakeholders can understand, as this is crucial for the role.

How to prepare for a job interview at YUM

✨Showcase Your Technical Expertise

Be prepared to discuss your experience with key technologies like Snowflake, AWS, and Python. Highlight specific projects where you've successfully built or optimised data pipelines, as this will demonstrate your hands-on skills and problem-solving abilities.

✨Communicate Clearly

Since the role involves conveying complex technical concepts to both technical and non-technical stakeholders, practice explaining your past projects in simple terms. This will show that you can bridge the gap between different teams effectively.

✨Demonstrate Problem-Solving Skills

Expect to face questions about how you've tackled complex data engineering challenges in the past. Prepare examples that illustrate your thought process and the methods you used to arrive at scalable solutions.

✨Emphasise Collaboration

Yum! Brands values teamwork, so be ready to discuss how you've collaborated with cross-functional teams in previous roles. Share specific instances where your contributions led to impactful data solutions, showcasing your ability to work well with others.

Senior Data Engineer
YUM
Y
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