Data Engineer

Rentokil Initial Careers
Crawley, England
7 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Experis Bath, Somerset, TA7 8PH, United Kingdom
£500 – £550 pd

Data Engineer

Experis Telford, Shropshire, SY2 5TN, United Kingdom
£430 – £483 pd

Data Engineer

South Norfolk and Broadland Council Whitlingham, Norfolk, United Kingdom
£42,287 – £47,191 pa Hybrid Clearance Required

Data Engineer

TXP Telford, Shropshire, SY2 5TN, United Kingdom
£540 – £541 pd Hybrid Clearance Required

Data Engineer

CBSbutler Holdings Limited trading as CBSbutler Telford, Shropshire, SY2 5TN, United Kingdom
£400 – £450 pd Hybrid Clearance Required

Data Engineer

Intelligent Steps London, United Kingdom
£500 – £600 pd Hybrid
Posted
3 Nov 2025 (7 months ago)

Build and operate the Data and Analytics platform for Rentokil Initial.

This role will be pivotal to:

  • 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

Tasks and responsibilities:

  • Develop and maintain data integration processes to ensure data quality and accuracy in the data platform
  • Deliver quality data engineering solutions of low-moderate complexity without clear requirements
  • Transform data in various ways to support data analysts and business leaders
  • Build and design a scalable and extensible data architecture
  • Develop and maintain data processing platforms including frameworks
  • Build infrastructure, data pipelines and the production of analytical models
  • Actively researching the latest innovation in the industry and encouraging a continuous learning environment in the team and in the business
  • 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 and requirements
  • Collaborate with other data engineers to ensure data consistency and integrity across systems
  • Continuously monitor and optimise data performance and scalability
  • Stay up-to-date with new technologies and best practices in data engineering
  • Ensure the data platform security standards are met, in conjunction 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 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

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

At Rentokil Initial, our customers and colleagues represent diverse backgrounds and experiences. We take pride in being an equal opportunity employer, actively encouraging applications from individuals from all walks of life. Our belief is that everyone irrespective of age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs, has the potential to thrive and contribute.

We embrace the differences that make each of our colleagues unique, fostering an inclusive environment where everyone can be their authentic selves and feel a sense of belonging. To ensure that your journey with us is accessible if you have any individual requirements we invite you to communicate any specific needs or preferences you may have during any stage of the recruitment process. Our team is available to support you; feel free to reach out to () if you need anything

Be Yourself in Your Application! At Rentokil Initial, we value innovation, but we want to see the real you! While AI can help with structure and grammar, make sure your application shows your true passion and understanding of the role. A personal touch will help you stand out.
#J-18808-Ljbffr

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Where to advertise data engineering jobs UK in 2026: the specialist boards and channels that reach Spark, dbt, Snowflake and platform engineering talent. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Engineering Jobs UK 2026: What to Expect Over the Next 3 Years

Data Engineering Jobs UK 2026: roles, salaries and the trends shaping UK data engineering hiring over the next three years — Spark, dbt, lakehouse and AI. Data engineering has become one of the most strategically important disciplines in the entire technology sector — and one of the most reliably in-demand. Every organisation that wants to use data to make decisions, train AI models, personalise products, manage risk, or understand its customers depends on data engineers to build the infrastructure that makes any of that possible. Without well-designed, reliable data pipelines, the most sophisticated machine learning model is worthless and the most ambitious analytics strategy is undeliverable. That foundational importance has made data engineering hiring remarkably resilient through the technology market corrections of the past few years. Where headcount reductions fell heavily on some engineering disciplines, demand for data engineers held firm — because the work of building and maintaining data infrastructure cannot be deferred in the way that some product development can. The data keeps coming. The pipelines need to work. But the data engineering jobs market of 2026 is not simply a stable version of what it was three years ago. The discipline has undergone a series of architectural shifts — from batch to streaming, from on-premise data warehouses to cloud-native lakehouses, from hand-rolled pipelines to declarative transformation frameworks, and most recently toward AI-augmented data engineering workflows that are beginning to reshape what the role looks like in practice. The employers hiring data engineers today are asking for a meaningfully different skill set than those hiring three years ago. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which architectural patterns are becoming standard, which technologies are defining the modern data stack, and how the definition of a data engineering career is evolving toward a richer intersection of infrastructure, analytics, and AI enablement. This article breaks down what the UK data engineering jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

New Data Engineering Employers to Watch in 2026: a UK and global shortlist of data platform companies hiring data engineers, pipeline and lakehouse specialists. Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.