Senior Engineer, Data Engineering

1 month ago

Crawley West Sussex, United Kingdom Rentokil Initial plc Full time

The Senior Data Engineer is a key role in the Data Platform Portfolio team, building the data platform, driving value from data across the business.
With strong technical skills and business acumen to help turn millions of potential data points into actionable insights that can drive product improvements, make our customer acquisition more efficient, improve our customer retention rates, and drive operating efficiencies across the business.
To build and run an data platform which can create and deliver analytics to colleagues and deliver regulatory reporting
- Ingest and transform data from multiple systems, modelling data and engineering data marts to create reusable data assets
- To create a self service BI platform, enabling colleagues across Rentokil Initial to get value from data
- To build AI models and a data science platform that enables Rentokil to derive huge value from AI, through machine learning to gen AI and beyond
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
● AI Data Engineering: Design, build, operate and deploy real-time data pipelines at scale using AI techniques and best practices. Support Rentokil’s AI R&D efforts by applying advanced data warehousing, data science, and data engineering technologies. Collaboration: Work in tandem with the AI team to collect, create, curate and maintain high-quality AI datasets. Ensure alignment of data architecture and data models across different products and platforms.
● Engage in data engineering and data science tasks as required to support the team and the projects. Conduct and own external data collection efforts - including state of the art prompt engineering techniques - to support the construction of state of the art AI models.
ITIL Foundation in IT Service Management
● Scrum / Agile qualifications
● Data Modelling qualifications
● Certified Google Cloud Data Engineer / Architect
● 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,
● 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
● Hands-on experience of modern software CI/CD techniques to automate the build and deployment of data solutions
● 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
Competitive salary and bonus scheme
~ Hybrid working
~ 23 days holiday, plus 8 bank holidays
~ Employee Assistance Programme
~ Free parking

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.

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