SKILLS AND EXPERIENCE REQUIRED:

• Extensive experience in data engineering, with strong Python skills and an understanding of data patterns
• Experience Designing and implementing modern data solution on Azure and their best practices: From storage to Building and maintaining scalable data pipelines for data integration.
• Vast expertise in data transformations, aggregations, and quality standards, paired with advanced architectural design skills
• Robust experience in Cloud technologies (preferably Azure), data security practices, CI/CD methodologies, Python, Kaftka and sql.
• Demonstrated excellence in communication, adept at simplifying complex topics for diverse audiences
• Established leadership in guiding development teams and designing robust data solutions

THE ROLE:

An exciting opportunity to lead the way in data engineering and analytics!
We are looking for a Azure Data Engineering Lead to spearhead the development and implementation of innovative data solutions within our dynamic team. In this pivotal role, you will provide both coaching and technical leadership, driving the successful execution of data features and solutions across the company. As a Azure Data Engineering Lead, you will be at the forefront of our technological innovation, shaping the future of our data-driven strategies. A truly transformative role where you will be part of an inclusive, forward-thinking global FMCG business supported by 25,000 passionate employees.
Join us and become the driving force behind cutting-edge, data-driven solutions in a collaborative, innovative, and technically excellent environment!

PRINCIPAL ACCOUNTABILITIES:

• Responsible for providing coaching and expertise in the data engineering and analytics area.
• Managing the overall implementation of data features and solutions which meet business requirements and in compliance with all relevant standards and strategies.
• Provide regular and effective progress updates to ensure the management of any delivery risks or issues.
• Supports/Guide the data team through the development process.
• Provides operational oversight and technical leadership to a team of data engineers to ensure digital solutions are delivered.
• Collaborates with global data architects to ensure that data solutions are built with best practices, reusability of code and an understanding of how to leverage technology to best meet business needs.