Engineering Manager overseeing software projects and team development for AI solutions at Veritone. Leading engineering practices and cultivating a supportive and innovative team culture.
About the role
- 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
- Strong prioritisation and communication skills
Benefits
- Competitive salary and bonus scheme
- Hybrid working
- Rentokil Initial Reward Scheme
- 23 days holiday, plus 8 bank holidays
- Employee Assistance Programme
- Death in service benefit
- Healthcare
- Free parking
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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