Want to get hired at Rentokil Initial Group?

Data Engineer

Rentokil Initial Group

HybridHybrid

Original Job Summary

Overview

Build and operate the Data and Analytics platform for Rentokil Initial. In this role, you will define data principles, architecture, and governance; deliver quality reports and analytics; and support the data agenda with platform reporting and strategy.

Key Responsibilities

  • Develop and maintain data integration processes ensuring quality and accuracy.
  • Deliver engineering solutions of low to moderate complexity.
  • Transform and model data to support data analysts and business leaders.
  • Design scalable data architecture and warehousing solutions.
  • Build data pipelines, infrastructure, and analytical models.
  • Research latest innovations and foster a continuous learning environment.
  • Ensure data security and adherence to Information Security standards.
  • Collaborate closely with business teams and other data engineers.
  • Utilize Agile methods including Scrum and SAFe.
  • Apply CI/CD techniques and use version control systems.

Desired Experience & Skills

  • Advanced data modeling and strong SQL skills.
  • Experience with Cloud deployments (preferably GCP).
  • Knowledge of ETL tools and real-time processing frameworks.
  • Familiarity with BigQuery, Java, and/or Python is a plus.
  • Strong communication skills and a proactive, hands-on approach.

Benefits & Work Arrangement

  • Competitive salary and bonus scheme.
  • Hybrid working environment.
  • Rentokil Initial Reward Scheme.
  • 23 days holiday plus 8 bank holidays.
  • Employee Assistance Programme, healthcare and free parking.

Key Skills/Competency

Data Architecture, Data Governance, SQL, Cloud (GCP), ETL, Agile, Data Modeling, CI/CD, Data Warehousing, Version Control

How to Get Hired at Rentokil Initial Group

🎯 Tips for Getting Hired

  • Research Rentokil Initial's culture: Understand their mission and core values.
  • Customize your resume: Highlight data engineering achievements and skills.
  • Review cloud and SQL skills: Emphasize GCP and SQL expertise.
  • Prepare examples: Detail projects using Agile and CI/CD methods.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query optimization.
Practice cloud deployment (GCP) tasks.
Study data modeling techniques.
Practice CI/CD pipeline setup.

Behavioral Questions

Describe a challenging data project.
Explain a time with Agile teamwork.
Discuss handling unexpected data issues.
Share how you resolve stakeholder conflicts.