Build and operate the Data and Analytics platform for Rentokil Initial.

This role will be pivotal to:

• Defining data principles, data architecture and data governance for the data platform
• Delivering data quality assessments and improvement plans
• Directly and indirectly, delivering key reports and analytical insight to a wide variety of stakeholders
• Supporting the data agenda with platform reporting and strategy.

Tasks and responsibilities:

• Develop and maintain data integration processes to ensure data quality and accuracy in the data platform
• Deliver quality data engineering solutions of low-moderate complexity without clear requirements
• Transform data in various ways to support data analysts and business leaders
• Build and design a scalable and extensible data architecture
• Develop and maintain data processing platforms including frameworks
• Build infrastructure, data pipelines and the production of analytical models
• Actively researching the latest innovation in the industry and encouraging a continuous learning environment in the team and in the business.
• Design and implement data warehousing solutions to support reporting and analytics
• Identify and troubleshoot data issues and provide solutions
• Work closely with business teams to understand data needs and requirements
• Collaborate with other data engineers to ensure data consistency and integrity across systems
• Continuously monitor and optimise data performance and scalability
• Stay up-to-date with new technologies and best practices in data engineering
• Ensure the data platform security standards are met, in conjunction with the Information Security team

REQUIREMENTS:

• Good understanding and track record of delivering complex data solutions using Agile methods including Scrum, SAFe etc.
• Excellent communication skills, capable of talking to people across IT and business, as well as to stakeholders at various levels of the company,
• Hands-on approach, proactive and self starting
• Desire to deliver the best quality and meet the client’s needs
• Advanced experience in designing and creating data models
• Strong with SQL for data interrogation and transformation, a robust understanding of relational data and the ability to manipulate fact data along multiple dimensions.
• Experience with deploying solutions in Cloud (Azure, AWS, GCP), ideally GCP
• Overall business intelligence knowledge
• Experience using ETL tools to deliver data integration for batch and streaming use cases
• Willingness to self-study and learn new skills to handle any upcoming tasks,
• Hands-on experience of modern software CI/CD techniques to automate the build and deployment of data solutions
• Use of source code version control (e.g. Git, Bitbucket)
• Desirable to have experience in the exploitation of real-time processing frameworks (e.g., Apache Spark or Apache Beam) and associated business use cases
• Desirable to have experience working with BigQuery, Java and/or Python
• Experience working with and adhering to Information Security standards, support procedures and incident response

This role will be pivotal to:

• Defining data principles, data architecture and data governance for the data platform
• Delivering data quality assessments and improvement plans
• Directly and indirectly, delivering key reports and analytical insight to a wide variety of stakeholders
• Supporting the data agenda with platform reporting and strategy

Tasks and responsibilities:

• Develop and maintain data integration processes to ensure data quality and accuracy in the data platform
• Deliver quality data engineering solutions of low-moderate complexity without clear requirements
• Transform data in various ways to support data analysts and business leaders
• Build and design a scalable and extensible data architecture
• Develop and maintain data processing platforms including frameworks
• Build infrastructure, data pipelines and the production of analytical models
• Actively researching the latest innovation in the industry and encouraging a continuous learning environment in the team and in the business.
• Design and implement data warehousing solutions to support reporting and analytics
• Identify and troubleshoot data issues and provide solutions
• Work closely with business teams to understand data needs and requirements
• Collaborate with other data engineers to ensure data consistency and integrity across systems
• Continuously monitor and optimise data performance and scalability
• Stay up-to-date with new technologies and best practices in data engineering
• Ensure the data platform security standards are met, in conjunction with the Information Security tea