IT&D Data Engineer

This role forms part of Enterprise Data and Analytics organisation.

Reckitt has a Data and Analytics (D&A) team, 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

Responsibilities

RESPONSIBILITIES / ACCOUNTABILITIES

• Develop solutions using Cloud infrastructure to store, process and retrieve data
• Install and configure information systems to ensure business data functionality
• Analyze structural requirements for new software and applications
• Utilize Azure services to design and build cost effective solutions which satisfy business needs for a modern Data Warehouse in the cloud
• Build environments for storing raw data utilizing Azure Data Lake Storage
• Migrate data from legacy systems to new solutions
• Design, build and implement conceptual and logical data models
• Participate in the creation and maintenance of design patterns standards and design blocks to facilitate wider consistency and promote re-use of design elements
• Improve system performance and optimize new and current database systems
• Work with enterprise architects to explore and define how the proposed solutions will fit into the enterprise data architecture
• Define security and backup procedures and mitigation strategies
• Coordinate with Data Science team to identify and refine the platform data needs
• Design, coordinate and execute prototypes/POC, to validate new solutions, tools and methods
• Provide peer review and code review for all development work in accordance with RB’s development practices
• Mentor and assist the delivery team across development and implementation the life cycle
• Continuously evaluate relevant technologies, influence and drive architecture and design discussions
  
  

Skills

SKILLSET AND EXPERIENCE

Skills

• 1-5 years of strong hands-on experience as Data and Application
• Experience in Cloud based solution mainly using Azure SQL Database, Azure Data Factory v2, Azure Cosmos DB, 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
• 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
• Practical experience of working with continuous delivery, continuous integration pipelines
• Proficiency in any of the Languages (R, python, java, c#, powershell)
• In depth experience of the design and development of IT solutions
• Should have worked in agile environments and good to have exposure to Devops and git/ release processes
• Should be able to clearly articulate pros and cons of various technologies and platforms
• Excellent communication and presentation skills, with experience dealing with business groups and all levels of the organization.
• Ability to work well independently and in collaborative, cross- discipline environments
• Ability to explain complex technical solutions to audiences at different technical knowledge
• Excellent oral and written communications skills
• Excellent stakeholder management skills
  
  

Qualifications Required

• Bachelor’s degree in computer science, Software Engineering, MIS or equivalent
  
  

Travel:

The role will be based in Warsaw (Poland). Note that the incumbent in the position can expect periodic travel to Hyderabad (India), Slough & Hull (UK) to connect with key stakeholders.