Rentokil Initial

Data Engineer

Rentokil Initial

full-time

Posted on:

Origin:  • 🇬🇧 United Kingdom

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Job Level

Mid-LevelSenior

Tech Stack

ApacheAWSAzureBigQueryCloudETLGoogle Cloud PlatformJavaPythonSparkSQL

About the role

  • 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
  • Deliver key reports and analytical insight to a wide variety of stakeholders
  • Support the data agenda with platform reporting and strategy
  • Develop and maintain data integration processes to ensure data quality and accuracy
  • Deliver quality data engineering solutions of low-moderate complexity without clear requirements
  • Transform data to support data analysts and business leaders
  • Build and design a scalable and extensible data architecture
  • Develop and maintain data processing platforms and frameworks
  • Build infrastructure, data pipelines and production of analytical models
  • Research industry innovation and encourage continuous learning
  • 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
  • Collaborate with other data engineers to ensure data consistency and integrity
  • Continuously monitor and optimise data performance and scalability
  • Stay up-to-date with new technologies and best practices in data engineering
  • Ensure data platform security standards are met 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: experience with real-time processing frameworks (e.g., Apache Spark or Apache Beam)
  • Desirable: 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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