Senior Data Engineer

• 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.

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., * 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., * 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.