Data Engineering Manager building and operating analytics platform for Rentokil Initial. Leading a team to develop data solutions and empower data-driven insights across the business.
Responsibilities
Lead a team of Data Engineers and Analysts to build and operate the Data and Analytics platform for Rentokil Initial.
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 Enable the Data Community across Rentokil Initial to get value from data and to empower local Data discovery & insights, using a self-serve framework
Catalogue & Communicate the Data platform data sets available for use to digital product teams
Develop report automation use cases demonstrating how migrating from traditional method improves quality of data and improves efficiency
Explore key innovation initiatives with the business to help reimagine how we use data and find the value in our data
Collaborate across the organisation to build solutions that serve multiple areas of the business
Accountable for performance of 3rd party suppliers providing data analysis delivery services
Requirements
Previous experience leading a team of Software Engineers, taking responsibility for their personal development and coaching them on the behaviors needed for success.
Prior experience of scaling/growing technology teams
Technical leadership experience, architecting, designing and leading a team through complex software delivery projects to deliver great business outcomes
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,
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
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