Reckitt—IT&D Data Engineering Senior Manager

Job description

Description: 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. The experience we're looking for • 15+ years of hands-on experience in data engineering, with prior roles as Data/Application Architect or Engineering Lead • Proven track record designing and delivering large-scale, cloud-native data solutions (SaaS/PaaS/API-based architectures) • Deep expertise in ETL/ELT technologies, data warehousing, and big data processing (Spark, Hadoop, Databricks) Cloud & Modern Data Stack • Expert proficiency in Microsoft Azure, specifically Azure Data Factory, Azure Data Lake Storage, and Azure Databricks • Strong experience with schema management, data governance, and cost optimization in cloud data environments • Hands-on experience migrating legacy systems to modern cloud platforms Data Architecture & Modelling • Strong grasp of conceptual, logical, and physical data modelling (ER modelling, dimensional modelling, star schema) • Familiarity with data modelling tools (Erwin, Power Designer) and ability to design standards for cross-domain consistency • Experience designing reusable patterns, APIs, and frameworks for self-serve data platforms The skills for success Data Architecture, Data Engineering, Data bricks, Azure Data factory, Data Lake, Azure Data bricks , Digital Strategy, Data Governance, Product Compliance, Digital Transformation, Stakeholder Relationship Management, Outstanding Communication, stakeholder engagement. What we offer With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way. We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy. Equality We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you. All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.