At a Glance
- Tasks: Solve complex data engineering problems and build scalable data solutions.
- Company: Join Yum! Brands, a leader in the food industry with a collaborative spirit.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Be part of a team that values innovation and mentorship.
- Why this job: Make a real impact by driving data-driven decisions in a dynamic environment.
- Qualifications: 5+ years in data engineering with skills in AWS, Python, and data warehousing.
The predicted salary is between 60000 - 80000 £ 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.
Senior Data Engineer employer: Yum! Brands
Yum! Brands is an exceptional employer, offering a dynamic work environment in the UK that fosters innovation and collaboration. With a strong commitment to employee growth, we provide ample opportunities for professional development and mentorship, ensuring that our team members thrive in their careers. Our inclusive culture values diverse perspectives, making it a rewarding place for data engineers to contribute to impactful projects while enjoying a supportive and engaging workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, attend meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, pipelines, and any cool solutions you've built. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both techies and non-techies alike.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your experience aligns with the role and show us why you're the perfect fit!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data engineering, especially with tools like Snowflake and AWS. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills:In your application, don’t forget to mention specific examples of complex problems you've solved in the past. We’re all about finding innovative solutions, so let us know how you’ve tackled challenges head-on!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Yum! Brands
✨Know Your Data Engineering Tools
Make sure you brush up on your knowledge of Snowflake, Informatica, Python, and AWS. Be ready to discuss how you've used these tools in past projects, especially focusing on any complex problems you've solved using them.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your ability to tackle complex data engineering challenges. Think about situations where you had to make decisions without a clear precedent and how you approached those problems.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You’ll need to convey your ideas to both technical and non-technical stakeholders, so being able to break down complex topics is key.
✨Collaboration is Key
Be ready to discuss your experience working with cross-functional teams. Highlight instances where your collaboration led to impactful data solutions, and don’t forget to mention any mentoring roles you've taken on.
