Rentokil Initial

Data Engineering Manager

Rentokil Initial

full-time

Posted on:

Location Type: Hybrid

Location: Crawley • 🇬🇧 United Kingdom

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Job Level

Mid-LevelSenior

Tech Stack

ApacheAWSAzureBigQueryCloudETLGoogle Cloud PlatformJavaPythonSparkSQL

About the role

  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data architecturedata governancedata quality assessmentsreport automationdata modelsSQLETL toolsCI/CD techniquesreal-time processing frameworksBigQuery
Soft skills
leadershipcoachingcommunicationcollaborationprioritisationself-studystakeholder engagementanalytical insightproblem-solvinginnovation