IT&D Senior Data Engineer

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

This role forms part of Enterprise Data and Analytics organisation. Reckitt has a Data and Analytics (D&A) focused on leveraging core information assets to better equip.
markets to improve their decisions and optimize their actions through the use of improved data, insights and advanced analytics The D&A team consists of five (5) key areas of expertise: Engineering, Visualization, Strategy and Operations, Platform and Governance.

Your responsibilities

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes,
• optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data
• from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights, operational efficiency and other key business performance metrics.
• Create data tools for analytics and data scientist team members that assist them in building and
• optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Install and configure information systems to ensure business data functionality.
  

The experience we're looking for

• 6+ years of strong hands-on experience as Data and Application architect, with proven experience in delivering large scale SaaS/PaaS/API/Microservice architecture-based applications
• Experienced proficient in designing and developing of mappings, transformations, sessions, and workflows, and deploying integration solutions
• Experience in designing Cloud based solution mainly using Azure SQL Database, Azure Data Factory v2, dbt, Azure Data Lake Storage, Azure Functions, Azure Active Directory and Azure security
• Good understanding of ETL technologies, Azure Cloud and Azure Analytics stack, e.g., Azure Data Lake, Azure Databricks, Azure Data Factory
• Hands-on experience in multiple end-to-end data warehousing/ETL project implementations
• Expert in distributed database system architecture principles
• Ability to identify, define, create, and apply design patterns and standards
• Good knowledge of service-oriented architecture (SOA) principles
• Good understanding in databases and analytics, including relational databases (e.g., SQL Server, MySQL, Oracle), Data warehousing, big data (Hadoop, Spark), NoSQL, and business analytics
• SME knowledge and experience in Enterprise Integration Patterns
• Practical experience of working with continuous delivery, continuous integration pipelines and architecture
• Proficiency in any of the Languages (R, python, java, c#, PowerShell)

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.