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
Benefits:
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