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Overview The Data Engineering Manager is a key role in the Data Platform Portfolio team, building the data platform and driving value from data across the business. With strong technical skills and business acumen to turn data points into actionable insights that can drive product improvements, improve customer acquisition and retention, and drive operating efficiencies.The primary goals of the team are to:<ul><li>To build and run a data platform which can create and deliver analytics to colleagues and deliver reporting and business insights</li><li>Ingest and transform data from multiple systems, modelling data and engineering data marts to create reusable data assets</li><li>To create a self service BI platform, enabling colleagues across Rentokil Initial to get value from data</li></ul> Main Responsibilities <ul><li>Lead a team of Data Engineers and Analysts to build and operate the Data and Analytics platform for Rentokil Initial.</li><li>This role will be pivotal to:</li><li>Defining data principles, data architecture and data governance for the data platform</li><li>Delivering data quality assessments and improvement plans</li><li>Directly and indirectly, delivering key reports and analytical insight to a wide variety of stakeholders</li><li>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 &amp; insights, using a self-serve framework</li><li>Catalogue &amp; Communicate the Data platform data sets available for use to digital product teams</li><li>Develop report automation use cases demonstrating how migrating from traditional method improves quality of data and improves efficiency</li><li>Explore key innovation initiatives with the business to help reimagine how we use data and find the value in our data</li><li>Collaborate across the organisation to build solutions that serve multiple areas of the business</li><li>Accountable for performance of 3rd party suppliers providing data analysis delivery services</li></ul> Requirements <ul><li>Previous experience leading a team of Software Engineers, taking responsibility for their personal development and coaching them on the behaviors needed for success.</li><li>Prior experience of scaling/growing technology teams</li><li>Technical leadership experience, architecting, designing and leading a team through complex software delivery projects to deliver great business outcomes</li><li>Good understanding and track record of delivering complex data solutions using Agile methods including Scrum, SAFe etc.</li><li>Excellent communication skills, capable of talking to people across IT and business, as well as to stakeholders at various levels of the company</li><li>Advanced experience in designing and creating data models</li><li>Strong with SQL for data interrogation and transformation, a robust understanding of relational data and the ability to manipulate fact data along multiple dimensions.</li><li>Experience with deploying solutions in Cloud (Azure, AWS, GCP), ideally GCP</li><li>Overall business intelligence knowledge</li><li>Experience using ETL tools to deliver data integration for batch and streaming use cases</li><li>Willingness to self-study and learn new skills to handle any upcoming tasks</li><li>Hands-on experience of modern software CI/CD techniques to automate the build and deployment of data solutions</li><li>Use of source code version control (e.g. Git, Bitbucket)</li><li>Desirable to have experience in the exploitation of real-time processing frameworks (e.g., Apache Spark or Apache Beam) and associated business use cases</li><li>Desirable to have experience working with BigQuery, Java and/or Python</li><li>Experience working with and adhering to Information Security standards, support procedures and incident response</li><li>Strong prioritisation and communication skills</li></ul> Benefits <ul><li>Competitive salary and bonus scheme</li><li>Hybrid working</li><li>Rentokil Initial Reward Scheme</li><li>23 days holiday, plus 8 bank holidays</li><li>Employee Assistance Programme</li><li>Death in service benefit</li><li>Healthcare</li><li>Free parking</li></ul>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 anythingBe 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.

Data Engineering Manager

Data Engineer Rentokil Initial<ul><li>Crawley, West Sussex</li><li>£50,000-70,000 per year</li><li>Permanent</li><li>Full-time</li></ul>Build and operate the Data and Analytics platform for Rentokil Initial. This role will be pivotal to:<ul><li>Defining data principles, data architecture and data governance for the data platform</li><li>Delivering data quality assessments and improvement plans</li><li>Directly and indirectly, delivering key reports and analytical insight to a wide variety of stakeholders</li><li>Supporting the data agenda with platform reporting and strategy.</li></ul> Responsibilities <ul><li>Develop and maintain data integration processes to ensure data quality and accuracy in the data platform</li><li>Deliver quality data engineering solutions of low-moderate complexity without clear requirements</li><li>Transform data in various ways to support data analysts and business leaders</li><li>Build and design a scalable and extensible data architecture</li><li>Develop and maintain data processing platforms including frameworks</li><li>Build infrastructure, data pipelines and the production of analytical models</li><li>Actively researching the latest innovation in the industry and encouraging a continuous learning environment in the team and in the business.</li><li>Design and implement data warehousing solutions to support reporting and analytics</li><li>Identify and troubleshoot data issues and provide solutions</li><li>Work closely with business teams to understand data needs and requirements</li><li>Collaborate with other data engineers to ensure data consistency and integrity across systems</li><li>Continuously monitor and optimise data performance and scalability</li><li>Stay up-to-date with new technologies and best practices in data engineering</li><li>Ensure the data platform security standards are met, in conjunction with the Information Security team</li></ul> Requirements <ul><li>Good understanding and track record of delivering complex data solutions using Agile methods including Scrum, SAFe etc.</li><li>Excellent communication skills, capable of talking to people across IT and business, as well as to stakeholders at various levels of the company</li><li>Hands-on approach, proactive and self-starting</li><li>Desire to deliver the best quality and meet the client's needs</li><li>Advanced experience in designing and creating data models</li><li>Strong with SQL for data interrogation and transformation, a robust understanding of relational data and the ability to manipulate fact data along multiple dimensions.</li><li>Experience with deploying solutions in Cloud (Azure, AWS, GCP), ideally GCP</li><li>Overall business intelligence knowledge</li><li>Experience using ETL tools to deliver data integration for batch and streaming use cases</li><li>Willingness to self-study and learn new skills to handle any upcoming tasks</li><li>Hands-on experience of modern software CI/CD techniques to automate the build and deployment of data solutions</li><li>Use of source code version control (e.g. Git, Bitbucket)</li><li>Desirable to have experience in the exploitation of real-time processing frameworks (e.g., Apache Spark or Apache Beam) and associated business use cases</li><li>Desirable to have experience working with BigQuery, Java and/or Python</li><li>Experience working with and adhering to Information Security standards, support procedures and incident response</li></ul> Benefits <ul><li>Competitive salary and bonus scheme</li><li>Hybrid working</li><li>Rentokil Initial Reward Scheme</li><li>23 days holiday, plus 8 bank holidays</li><li>Employee Assistance Programme</li><li>Death in service benefit</li><li>Healthcare</li><li>Free parking</li></ul>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.

Data Engineer

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 teamRequirements: 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 responseBenefits:<ul><li>Competitive salary and bonus scheme</li><li>Hybrid working</li><li>Rentokil Initial Reward Scheme</li><li>23 days holiday, plus 8 bank holidays</li><li>Employee Assistance Programme</li><li>Death in service benefit</li><li>Healthcare</li><li>Free parking</li></ul>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.

Role: Snowflake Data Architect Location: Hove, UK Type: Permanent Role Work Mode: Hybrid Role &amp; Responsibilities <ol> <li>Define and implement the end-to-end architecture of Data warehouse on Snowflake.</li> <li>Create and maintain conceptual, logical, and physical data models in Snowflake.</li> <li>Design data pipelines and ingestion frameworks using Snowflake native tools.</li> <li>Collaborate with Data Governance teams to establish data lineage, data quality, and access control mechanisms.</li> <li>Engage with data stewards and stakeholders to build a comprehensive and scalable data warehouse.</li> <li>Implement RBAC, data masking, and encryption practices to ensure compliance with data security policies.</li> </ol> Qualifications &amp; Skills <ol> <li>10+ years of experience in designing enterprise data platforms, with at least 5+ years in Snowflake.</li> <li>Strong expertise in SQL and data warehousing.</li> <li>Hands-on experience working in the insurance industry; prior experience with L&amp;G is an advantage.</li> <li>3+ years of experience with DBT for data transformation.</li> <li>Deep understanding of agile methodologies in data environments.</li> <li>Familiarity with Power BI.</li> </ol>

14 AI Jobs in 33-34 East St, Brighton and Hove, Brighton BN1 1HL, UK