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- Tasks: Solve complex data engineering problems and build scalable data solutions.
- Company: Join Yum! Brands, a leader in the restaurant industry with a focus on innovation.
- Benefits: Enjoy a collaborative culture, diverse workplace, and opportunities for 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 required.
- Other info: Beware of fake job postings; apply only through official career pages.
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
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.
Senior Data Engineer (4068) employer: YUM
Contact Detail:
YUM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (4068)
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Snowflake and AWS. Having hands-on experience or projects that showcase your skills in these areas can set you apart during discussions.
✨Tip Number 2
Prepare to discuss your problem-solving approach in detail. Yum! Brands is looking for someone who can independently tackle complex data engineering challenges, so be ready to share examples of how you've done this in previous roles.
✨Tip Number 3
Highlight your collaboration skills. Since the role involves working with cross-functional teams, think of instances where you've successfully communicated technical concepts to non-technical stakeholders and how that led to impactful outcomes.
✨Tip Number 4
Showcase your mentorship experience. If you've guided less experienced engineers before, be prepared to discuss how you approached mentoring and the positive results it had on your team’s performance.
We think you need these skills to ace Senior Data Engineer (4068)
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 of projects where you've built scalable data solutions or optimised data pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your skills align with Yum! Brands' mission. Mention your ability to communicate complex technical concepts to diverse audiences, as this is crucial for the role.
Showcase Problem-Solving Skills: Provide examples in your application that demonstrate your ability to independently resolve complex data engineering problems. Highlight any experience you have leading projects or mentoring less experienced engineers.
Research Yum! Brands: Familiarise yourself with Yum! Brands' culture and values. Understanding their commitment to collaboration and innovation will help you tailor your application and show how you can contribute to their data strategy.
How to prepare for a job interview at YUM
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Snowflake, AWS, and Python in detail. Highlight specific projects where you've built scalable data solutions or optimised data pipelines, as this will demonstrate your hands-on skills and problem-solving abilities.
✨Communicate Clearly
Since the role requires 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 Leadership Qualities
As a Senior Data Engineer, you'll be expected to mentor less experienced engineers. Share examples of how you've led projects or supported team members in the past, showcasing your ability to guide and influence others.
✨Align with Company Culture
Familiarise yourself with Yum! Brands' culture of collaboration and innovation. During the interview, express your enthusiasm for working in a diverse and inclusive environment, and share how you can contribute to their mission of creating beloved restaurant brands.
