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 and 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
The Data Engineer is responsible for designing, building, and maintaining reliable, scalable data pipelines that support analytics and reporting use cases. The role requires consistent application of enterprise frameworks, data quality controls, and security standards while owning components end to end. Data Engineers collaborate closely with platform, analytics, and business teams and are expected to continuously optimize performance, reliability, and cost efficiency of data solutions. Understanding of the Lakehouse Architecture and medallion.
Your responsibilities
A. Data Pipeline Development (Primary Responsibility)
• Design, build, and maintain scalable, reliable data ingestion and transformation pipelines across curated, analytics, and reporting layers.
• Develop ELT workflows using standardized enterprise frameworks, ensuring consistency, reusability, and alignment with platform standards.
• Assemble, process, and optimize large and complex datasets from diverse internal and external data sources.
• Implement CDC, delta-based updates for incremental processing.
• Understanding of the different data format like Parquet, Delta etc.
• Implement automated validations, reconciliations, and error handling mechanisms to ensure data accuracy and reliability.
• Support pipeline deployment, scheduling, and operational stability across non production and production environments.
• Working knowledge of streaming pipelines using Event Hub / Kafka /Structure Streaming is strongly preferred.
B. Platform, Security & Governance Alignment
• Embed data quality rules, security controls, and documentation into pipelines by design.
• Ensure datasets adhere to access controls, RBAC policies, and PII handling standards.
• Strong understanding of Unity Catalog (Databricks)
• Apply approved ingestion and transformation patterns that meet enterprise governance and audit requirements.
• Identify and remediate data quality or performance issues, escalating risks where appropriate.
C. Collaboration & Continuous Improvement
- Work closely with analytics, platform, and downstream consumers to understand data requirements and usage patterns.
- Participate in technical design reviews and peer code reviews.
- Identify opportunities for automation, optimization, and cost efficiency within existing pipelines.
The experience we're looking for
Strong working knowledge of Python for building and maintaining data pipelines
Databases
• Proficient SQL skills including complex joins, aggregations, and performance aware queries
Cloud & Data Platforms
• Hands on experience with Azure Data Factory (ADF) for orchestration and scheduling
• Practical experience using Azure Databricks in production environments
• Strong understanding of Delta Lake (Delta tables, ACID transactions, Time Travel etc.)
• Proficient in using ADLS, Azure Event Hub etc,
ETL / ELT Engineering
• Ability to design and implement ELT workflows across multiple data sources
Data Modelling
• Working knowledge of conceptual and logical data modelling for analytics use cases
Frameworks
• Proficient use of Spark / PySpark / SparkSQL for distributed processing
DevOps
• Good working knowledge of Azure DevOps/GitHub actions, pipeline deployment automation
B. Desirable / Nice to Have Skills
• FinOps and cloud cost optimization concepts.
• Azure Analysis Services
The skills for success
Digital Strategy, Data Governance, Product Compliance, Digital Transformation, Stakeholder Relationship Management, Outstanding Communication, stakeholder engagement, Cyber Security Strategy, Cyber Security, Data Privacy, Market Value, Market Chain, Data Driven Practices, Advanced Analytics, Data Analytics, Governance.
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.
