Data Engineering Manager

We are Reckitt

Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose.
Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege.

​Information Technology & Digital​

In IT&D, you'll be a force for good, whether you're championing cyber security, defining how we harness the power of technology to improve our business, or working with data to guide the innovation of consumer loved products.

Working globally across functions, you'll own your projects and process from start to finish, with the influence and visibility to achieve what needs to be done. And if you're willing to bring your ideas to the table, you'll get the support and investment to make them happen.

Your potential will never be wasted. You'll get the space and support to take your development to the next level. Every day, there will be opportunities to learn from peers and leaders through working on exciting, varied projects with real impact. And because our work spans so many different businesses, from Research and Product Development to Sales, you'll keep learning exciting new approaches.

About the role

As the Senior Manager of Data Engineering, you will champion value-based delivery, ensuring that business analytics and insights translate directly into tangible business outcomes. You will drive operational excellence across products and programs by utilizing advanced analytical techniques to proactively identify opportunities, mitigate risks, and elevate overall performance levels.

Your responsibilities

•    Own reusable data ingestion & processing
Design and lead reusable ingestion frameworks, transformation libraries, and patterns that domain teams can self serve across batch, streaming, and real time workloads.
•    Set cross domain data standards
Define and enforce enterprise standards for data modelling, schema evolution, quality, lineage, security, and metadata to ensure data products are consistent and interoperable across domains.
•    Enable and unblock domain teams
Provide templates, accelerators, POCs, and hands on guidance so domain teams can rapidly build and operate their own data products using shared tooling and reusable components.
•    Build and run cloud data foundations
Architect and oversee cloud-based data environments (Data Lake, Data Warehouse, Ingestion and Processing pipelines), including migration from legacy systems and ongoing optimization.
•    Lead team and engineering excellence Manage and mentor a central team of data engineers, drive code quality, reviews, best practices, automation, and a culture of continuous improvement and reuse. •    Run the central Data COE (Center of Excellence) Oversee the Data COE function to establish and maintain enterprise standards, drive adoption across domains, automate engineering tasks (CI/CD, testing, deployment), and ensure consistent application of best practices and governance frameworks.