5 of 5 Data Architecture Jobs in Crawley

The AI 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. The primary goals of the team are: To build and run a 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 Key tasks: AI Data Engineering: Design, build, operate, and deploy real-time data pipelines at More ❯

Writing etc Annual Leave 23 days rising to 27 with length of service Sick Pay Increasing with length of service The Role: Senior AI Engineer Overview of role AI Data Engineering: Design, build, operate, and deploy real-time data pipelines at scale using AI techniques and best practices. Support AI R&D efforts by applying advanced data warehousing, data science, and data engineering technologies. Aim for automation to enable a faster time-to-market and better reusability of new AI initiatives. Collaboration: Work in tandem with the AI Product Owner and other team members to create, curate, and maintain high-quality AI assets. Ensure alignment of data architecture and data models … across different products and platforms. Hands-on Involvement: Engage in data engineering 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. Stay up-to-date with new technologies and best practices More ❯

Reimagine enterprise data and content operations at massive scale! As the Principal Data and AI Engineer at Flexera, you will drive technical innovation and lead a talented team focused on the ingestion, curation, and organization of the world's IT assets. Your mission: transform vast amounts of semi-structured data into trusted insights, empowering customers to manage … and optimize their IT landscapes—including hardware, software, SaaS, cloud, containers, AI services, and more. Key Responsibilities: Strategic Ownership Define and evolve the long-term strategy for data and content operations at scale. Balance current realities with an ambitious roadmap toward future innovation. Lead automation efforts in data normalization, enrichment, and quality assurance using AI/ML and … Agentic AI. Align technical direction with business priorities to shape the roadmap. Technical Leadership Design, optimize, and govern modern, large-scale data architectures. Oversee architecture across applications, infrastructure, and ecosystem integrations. Apply advanced performance tuning, database optimization, and domain-driven design principles. Engineering Partnership Collaborate with and mentor engineers on system architecture, CI/CD workflows, and More ❯

the security architectural review of all systems that make up applications as they are built and integrated. Key responsibilities: Leading projects involving end-to-end cyber security solutions, including architecture and design, and process creation to vendor and best practice. Provide advice and guidance around cyber security detection. Provide response solutions across architecture, and organisational and governance teams. … are fully understood. Focus on building relationships and growing business with the customer, identifying new opportunities for the business. Your Profile Essential skills/knowledge/experience: Skilled in architecture design for systems and the underlying security infrastructure (i.e. firewalls). Holder a recognised, current security certificate (e.g., CISSP/CISM). Experienced in managing operational security activities. Solid … experience with security technologies and architectures. Previous experience advising software development teams and agile delivery methods. Working experience with MS Azure cloud security for complex environments. Good understanding of data architecture(s), web security, zero trust models and low latency applications. Good communication and negotiation skills. A team player. Result oriented. Possess good problem-solving skills, planning and More ❯