maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
code) to speed delivery and reduce risk. Collaborate daily with product owners, designers and QA in an Agile team — mentor juniors and share best practices. Troubleshoot production issues, perform performancetuning and contribute to architecture decisions. Must-have (essential) Strong commercial experience with C#/.NET (MVC, Web API). Hands-on experience building RESTful APIs (design, versioning … . Front-end testing (Jest, React Testing Library) and TypeScript. Domain knowledge in fintech/healthcare/B2B SaaS (optional). Benefits & culture Competitive salary: £50k–£60k plus potential performance bonus. Hybrid working model — flexible remote days + collaboration days in the North West office. 25 days holiday (plus bank holidays) + option to buy/sell holidays. Clear More ❯
thinking engineering team where you’ll make a real impact. You’ll play a key role in architecting, building, and optimising telecommunications systems in Rust , contributing to secure, high-performance, and scalable solutions used worldwide. What you’ll be doing As a Senior Rust Developer , you will: Architect, develop, and maintain high-performance network applications in Rust Collaborate … with product managers, network engineers, and developers to create new telecom solutions Optimise existing systems for performance, reliability, and scalability Ensure compliance with telecom standards and best practices Research and integrate new protocols, libraries, and frameworks Mentor junior developers, conduct code reviews , and drive best practices Troubleshoot and resolve production issues with sustainable fixes Stay on top of emerging … telecom protocols (SIP, RTP, VoIP, 4G/5G, IMS, Diameter, SS7, etc.)Experience with distributed systems, real-time communications, or network services Solid grasp of concurrency, memory management, and performancetuning in Rust Excellent troubleshooting and debugging skills Nice to haves Experience with Docker, Kubernetes, CI/CD , and cloud platforms Familiarity with telecom compliance standards Exposure to More ❯
London, South East, England, United Kingdom Hybrid/Remote Options
Purchasing Professionals Ltd
and transformation projects. This role will suit someone who thrives in a collaborative environment, enjoys solving complex technical challenges, and has a deep understanding of Oracle’s RDBMS and performance tuning. Key Responsibilities Design, develop, and maintain Oracle database components and PL/SQL code (procedures, packages, triggers). Support ETL and data migration projects, ensuring data integrity and … performance across large datasets. Develop and optimise SQL scripts, queries, and DML/DDL operations. Use SQL*Loader, Database Links, and related utilities for efficient data movement. Conduct performance analysis, tune queries, and review execution plans to maximise efficiency. Work with UNIX shell environments, maintaining and developing automation scripts. Collaborate with project teams, analysts, and stakeholders to meet … procedures, packages, and triggers. ETL/Data Migration – experience with large-scale data movement and transformation projects. SQL*Loader & Database Links – practical experience loading and connecting large data sets. PerformanceTuning – skilled in code analysis and execution plan optimisation. Oracle Tools – SQL*Plus, TOAD, SQL Developer. UNIX/Linux – knowledge of shell scripting; exposure to PHP or Perl More ❯
