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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 / 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

 

 

 

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.

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