Senior Global Talent Acquisition Manager | Championing Talent and Innovation in Recruitment
The Data Engineering Manager is a key role in the Data Platform Portfolio team, building the data platform, driving value from data across the business.
With strong technical skills and business acumen to help turn millions of potential data points into actionable insights that can drive product improvements, make our customer acquisition more efficient, improve our customer retention rates, and drive operating efficiencies across the business.
The primary goals of the team are:
* Build and run a data platform which can create and deliver analytics to colleagues and deliver reporting and business insights
* Ingest and transform data from multiple systems, modelling data and engineering data marts to create reusable data assets
* Create a self-service BI platform, enabling colleagues across Rentokil Initial to get value from data
Main Responsibilities:
* Lead a team of Data Engineers and Analysts to build and operate the Data and Analytics platform for Rentokil Initial.
* Define data principles, data architecture and data governance for the data platform
* Deliver data quality assessments and improvement plans
* Directly and indirectly, deliver key reports and analytical insight to a wide variety of stakeholders
* Support 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
Skills and Experience:
* 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
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
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