351 to 375 of 2,470 Design Patterns Jobs in England

in C# using Microsoft's development tools and working with .NET. They will have good object-oriented analysis and design skills, be familiar with design patterns and practices. Previous experience in the finance or pensions industries would be beneficial. A commitment to building and delivering solutions of high quality to time and budget, and a … technologies. Essential Skills and Experience Required Good knowledge of Microsoft development technologies Experience using IoC containers Experience using Entity Framework OOAD skills and good understanding of Design Patterns and Practices Web services (SOAP and/or WCF) Unit testing/Test Driven Development Additional/Desirable Skills and Experience Comfortable using agile working practices and methodologies (such More ❯

level web applications on multiple technology stacks - Angular, Java/C#.net, Python Strong experience on AWS Stack, SQL/No-SQL implementations Champion policies, procedures, and best practice design principles Analysis of business requirements to identify flexible and pragmatic design changes to development and production architecture Act as a technical consultant providing technical knowledge, coaching/… and gap analysis activities, and where required work with them to understand influence their roadmaps to support strategic objectives Understand the balance between business drivers and purity of design Where required facilitate and develop Pocks to demonstrate new concepts or technology choices Work closely with group functions such as infrastructure, information security building relationships and becoming a trusted … of contact Prior experience of BPM Implementation is hugely advantageous Qualifications Degree qualified in a science or IT based discipline Proven technical architecture experience covering common design patterns and platforms such as UIs, micro-services, data lakes, APIs, RDBMS, and NoSQL databases Strong familiarity of formal design and SDLC methodologies, in particular Agile/SAFe More ❯

level web applications on multiple technology stacks - Angular, Java/C#.net, Python Strong experience on AWS Stack, SQL/No-SQL implementations Champion policies, procedures, and best practice design principles Analysis of business requirements to identify flexible and pragmatic design changes to development and production architecture Act as a technical consultant providing technical knowledge, coaching/… and gap analysis activities, and where required work with them to understand influence their roadmaps to support strategic objectives Understand the balance between business drivers and purity of design Where required facilitate and develop Pocks to demonstrate new concepts or technology choices Work closely with group functions such as infrastructure, information security building relationships and becoming a trusted … of contact Prior experience of BPM Implementation is hugely advantageous Qualifications Degree qualified in a science or IT based discipline Proven technical architecture experience covering common design patterns and platforms such as UIs, micro-services, data lakes, APIs, RDBMS, and NoSQL databases Strong familiarity of formal design and SDLC methodologies, in particular Agile/SAFe More ❯

level web applications on multiple technology stacks - Angular, Java/C#.net, Python Strong experience on AWS Stack, SQL/No-SQL implementations Champion policies, procedures, and best practice design principles Analysis of business requirements to identify flexible and pragmatic design changes to development and production architecture Act as a technical consultant providing technical knowledge, coaching/… and gap analysis activities, and where required work with them to understand influence their roadmaps to support strategic objectives Understand the balance between business drivers and purity of design Where required facilitate and develop Pocks to demonstrate new concepts or technology choices Work closely with group functions such as infrastructure, information security building relationships and becoming a trusted … of contact Prior experience of BPM Implementation is hugely advantageous Qualifications Degree qualified in a science or IT based discipline Proven technical architecture experience covering common design patterns and platforms such as UIs, micro-services, data lakes, APIs, RDBMS, and NoSQL databases Strong familiarity of formal design and SDLC methodologies, in particular Agile/SAFe More ❯

We are looking for a Senior Solution Architect with deep technical expertise and strong documentation skills to design scalable, secure, and high-performance solutions. You will work closely with business stakeholders, engineering teams, and project managers to ensure the successful delivery of complex technology solutions aligned with business goals. Your responsibilities: Design end-to-end enterprise … level solutions across cloud, on-prem, and hybrid environments. Translate business requirements into technical architecture and high-level design documentation. Lead technical workshops, architecture reviews, and proof-of-concept initiatives. Create and maintain detailed architecture diagrams, solution design documents, and technical specifications. Collaborate with development and DevOps teams to ensure alignment with architecture standards and patterns. … containerization (Docker/Kubernetes). Understanding of DevOps practices, CI/CD pipelines, and automation tools. Proficient in modeling tools (e.g., Visio, Lucidchart, Draw.io). Familiarity with enterprise integration patterns and middleware technologies. Knowledge of security, compliance, and data privacy best practices. Documentation Expertise: Strong ability to create architectural blueprints, HLDs, LLDs, and solution specs. Experience writing clear, concise More ❯

Off Languages: Ruby-on-Rails, Java, Python, C#, VueJs, Typescript/Angular/React Cloud: Amazon Web Services (AWS) Additional Tools & Frameworks: GraphQL, REST APIs, Software Design Patterns – TDD, DDD, Agile methodologies: Scrum and Kanban Full-Stack Development : Design, develop, and maintain complex full-stack applications across both front-end and back-end. Cloud & Database … Build scalable, cloud-based solutions using AWS , PostgreSQL , and DynamoDB . API Development : Integrate RESTful APIs and GraphQL to enable smooth data flow between services. Software Design Patterns : Apply TDD (Test Driven Development) and DDD (Domain Driven Design) best practices to ensure maintainable, efficient code. DevOps & CI/CD : Use DevOps processes, including virtualization , containerization … high-quality products in an agile environment. Polyglot Developer : Proficiency in multiple programming languages and frameworks, with the ability to work across the full tech stack. Object-Oriented Design : Strong understanding of OO principles, writing modular and maintainable code. DevOps Practices : Familiarity with CI/CD , containerization, and infrastructure as code. Agile Mindset : Experience working within Agile methodologies More ❯

25.07.2025 Job Description: Key Responsibilities Lead the technical delivery of complex data engineering projects, ensuring solutions are scalable, secure, and aligned with our delivery framework and client goals. Design and build high-quality data pipelines and integration workflows, setting the technical direction and ensuring engineering best practices are followed throughout the development lifecycle. Collaborate with multidisciplinary teams, including … translating data requirements into technical solutions and communicating complex ideas clearly and effectively. Champion engineering standards, contributing to the development and adoption of data engineering guidelines, design patterns, and delivery methodologies that contribute to our delivery framework. Stay current with emerging technologies, evaluating their relevance and potential impact, and promoting innovation within the firm and clients. Contribute … engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data More ❯

wide Job Description: Key Responsibilities Lead the technical delivery of complex data engineering projects, ensuring solutions are scalable, secure, and aligned with our delivery framework, and client goals. Design and build high-quality data pipelines and integration workflows, setting the technical direction and ensuring engineering best practices are followed throughout the development lifecycle. Collaborate with multidisciplinary teams, including … translating data requirements into technical solutions and communicating complex ideas clearly and effectively. Champion engineering standards, contributing to the development and adoption of data engineering guidelines, design patterns, and delivery methodologies that contribute to our delivery framework. Stay current with emerging technologies, evaluating their relevance and potential impact, and promoting innovation within the firm and clients. Contribute … engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data More ❯

wide Job Description: Key Responsibilities Lead the technical delivery of complex data engineering projects, ensuring solutions are scalable, secure, and aligned with our delivery framework, and client goals. Design and build high-quality data pipelines and integration workflows, setting the technical direction and ensuring engineering best practices are followed throughout the development lifecycle. Collaborate with multidisciplinary teams, including … translating data requirements into technical solutions and communicating complex ideas clearly and effectively. Champion engineering standards, contributing to the development and adoption of data engineering guidelines, design patterns, and delivery methodologies that contribute to our delivery framework. Stay current with emerging technologies, evaluating their relevance and potential impact, and promoting innovation within the firm and clients. Contribute … engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data More ❯

wide Job Description: Key Responsibilities Lead the technical delivery of complex data engineering projects, ensuring solutions are scalable, secure, and aligned with our delivery framework, and client goals. Design and build high-quality data pipelines and integration workflows, setting the technical direction and ensuring engineering best practices are followed throughout the development lifecycle. Collaborate with multidisciplinary teams, including … translating data requirements into technical solutions and communicating complex ideas clearly and effectively. Champion engineering standards, contributing to the development and adoption of data engineering guidelines, design patterns, and delivery methodologies that contribute to our delivery framework. Stay current with emerging technologies, evaluating their relevance and potential impact, and promoting innovation within the firm and clients. Contribute … engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data More ❯

wide Job Description: Key Responsibilities Lead the technical delivery of complex data engineering projects, ensuring solutions are scalable, secure, and aligned with our delivery framework, and client goals. Design and build high-quality data pipelines and integration workflows, setting the technical direction and ensuring engineering best practices are followed throughout the development lifecycle. Collaborate with multidisciplinary teams, including … translating data requirements into technical solutions and communicating complex ideas clearly and effectively. Champion engineering standards, contributing to the development and adoption of data engineering guidelines, design patterns, and delivery methodologies that contribute to our delivery framework. Stay current with emerging technologies, evaluating their relevance and potential impact, and promoting innovation within the firm and clients. Contribute … engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data More ❯

wide Job Description: Key Responsibilities Lead the technical delivery of complex data engineering projects, ensuring solutions are scalable, secure, and aligned with our delivery framework, and client goals. Design and build high-quality data pipelines and integration workflows, setting the technical direction and ensuring engineering best practices are followed throughout the development lifecycle. Collaborate with multidisciplinary teams, including … translating data requirements into technical solutions and communicating complex ideas clearly and effectively. Champion engineering standards, contributing to the development and adoption of data engineering guidelines, design patterns, and delivery methodologies that contribute to our delivery framework. Stay current with emerging technologies, evaluating their relevance and potential impact, and promoting innovation within the firm and clients. Contribute … engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data More ❯

wide Job Description: Key Responsibilities Lead the technical delivery of complex data engineering projects, ensuring solutions are scalable, secure, and aligned with our delivery framework, and client goals. Design and build high-quality data pipelines and integration workflows, setting the technical direction and ensuring engineering best practices are followed throughout the development lifecycle. Collaborate with multidisciplinary teams, including … translating data requirements into technical solutions and communicating complex ideas clearly and effectively. Champion engineering standards, contributing to the development and adoption of data engineering guidelines, design patterns, and delivery methodologies that contribute to our delivery framework. Stay current with emerging technologies, evaluating their relevance and potential impact, and promoting innovation within the firm and clients. Contribute … engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data More ❯

wide Job Description: Key Responsibilities Lead the technical delivery of complex data engineering projects, ensuring solutions are scalable, secure, and aligned with our delivery framework, and client goals. Design and build high-quality data pipelines and integration workflows, setting the technical direction and ensuring engineering best practices are followed throughout the development lifecycle. Collaborate with multidisciplinary teams, including … translating data requirements into technical solutions and communicating complex ideas clearly and effectively. Champion engineering standards, contributing to the development and adoption of data engineering guidelines, design patterns, and delivery methodologies that contribute to our delivery framework. Stay current with emerging technologies, evaluating their relevance and potential impact, and promoting innovation within the firm and clients. Contribute … engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data More ❯

wide Job Description: Key Responsibilities Lead the technical delivery of complex data engineering projects, ensuring solutions are scalable, secure, and aligned with our delivery framework, and client goals. Design and build high-quality data pipelines and integration workflows, setting the technical direction and ensuring engineering best practices are followed throughout the development lifecycle. Collaborate with multidisciplinary teams, including … translating data requirements into technical solutions and communicating complex ideas clearly and effectively. Champion engineering standards, contributing to the development and adoption of data engineering guidelines, design patterns, and delivery methodologies that contribute to our delivery framework. Stay current with emerging technologies, evaluating their relevance and potential impact, and promoting innovation within the firm and clients. Contribute … engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data More ❯

wide Job Description: Key Responsibilities Lead the technical delivery of complex data engineering projects, ensuring solutions are scalable, secure, and aligned with our delivery framework, and client goals. Design and build high-quality data pipelines and integration workflows, setting the technical direction and ensuring engineering best practices are followed throughout the development lifecycle. Collaborate with multidisciplinary teams, including … translating data requirements into technical solutions and communicating complex ideas clearly and effectively. Champion engineering standards, contributing to the development and adoption of data engineering guidelines, design patterns, and delivery methodologies that contribute to our delivery framework. Stay current with emerging technologies, evaluating their relevance and potential impact, and promoting innovation within the firm and clients. Contribute … engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data More ❯

wide Job Description: Key Responsibilities Lead the technical delivery of complex data engineering projects, ensuring solutions are scalable, secure, and aligned with our delivery framework, and client goals. Design and build high-quality data pipelines and integration workflows, setting the technical direction and ensuring engineering best practices are followed throughout the development lifecycle. Collaborate with multidisciplinary teams, including … translating data requirements into technical solutions and communicating complex ideas clearly and effectively. Champion engineering standards, contributing to the development and adoption of data engineering guidelines, design patterns, and delivery methodologies that contribute to our delivery framework. Stay current with emerging technologies, evaluating their relevance and potential impact, and promoting innovation within the firm and clients. Contribute … engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data More ❯

wide Job Description: Key Responsibilities Lead the technical delivery of complex data engineering projects, ensuring solutions are scalable, secure, and aligned with our delivery framework, and client goals. Design and build high-quality data pipelines and integration workflows, setting the technical direction and ensuring engineering best practices are followed throughout the development lifecycle. Collaborate with multidisciplinary teams, including … translating data requirements into technical solutions and communicating complex ideas clearly and effectively. Champion engineering standards, contributing to the development and adoption of data engineering guidelines, design patterns, and delivery methodologies that contribute to our delivery framework. Stay current with emerging technologies, evaluating their relevance and potential impact, and promoting innovation within the firm and clients. Contribute … engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data More ❯

wide Job Description: Key Responsibilities Lead the technical delivery of complex data engineering projects, ensuring solutions are scalable, secure, and aligned with our delivery framework, and client goals. Design and build high-quality data pipelines and integration workflows, setting the technical direction and ensuring engineering best practices are followed throughout the development lifecycle. Collaborate with multidisciplinary teams, including … translating data requirements into technical solutions and communicating complex ideas clearly and effectively. Champion engineering standards, contributing to the development and adoption of data engineering guidelines, design patterns, and delivery methodologies that contribute to our delivery framework. Stay current with emerging technologies, evaluating their relevance and potential impact, and promoting innovation within the firm and clients. Contribute … engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data More ❯

wide Job Description: Key Responsibilities Lead the technical delivery of complex data engineering projects, ensuring solutions are scalable, secure, and aligned with our delivery framework, and client goals. Design and build high-quality data pipelines and integration workflows, setting the technical direction and ensuring engineering best practices are followed throughout the development lifecycle. Collaborate with multidisciplinary teams, including … translating data requirements into technical solutions and communicating complex ideas clearly and effectively. Champion engineering standards, contributing to the development and adoption of data engineering guidelines, design patterns, and delivery methodologies that contribute to our delivery framework. Stay current with emerging technologies, evaluating their relevance and potential impact, and promoting innovation within the firm and clients. Contribute … engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data More ❯

wide Job Description: Key Responsibilities Lead the technical delivery of complex data engineering projects, ensuring solutions are scalable, secure, and aligned with our delivery framework, and client goals. Design and build high-quality data pipelines and integration workflows, setting the technical direction and ensuring engineering best practices are followed throughout the development lifecycle. Collaborate with multidisciplinary teams, including … translating data requirements into technical solutions and communicating complex ideas clearly and effectively. Champion engineering standards, contributing to the development and adoption of data engineering guidelines, design patterns, and delivery methodologies that contribute to our delivery framework. Stay current with emerging technologies, evaluating their relevance and potential impact, and promoting innovation within the firm and clients. Contribute … engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data More ❯

wide Job Description: Key Responsibilities Lead the technical delivery of complex data engineering projects, ensuring solutions are scalable, secure, and aligned with our delivery framework, and client goals. Design and build high-quality data pipelines and integration workflows, setting the technical direction and ensuring engineering best practices are followed throughout the development lifecycle. Collaborate with multidisciplinary teams, including … translating data requirements into technical solutions and communicating complex ideas clearly and effectively. Champion engineering standards, contributing to the development and adoption of data engineering guidelines, design patterns, and delivery methodologies that contribute to our delivery framework. Stay current with emerging technologies, evaluating their relevance and potential impact, and promoting innovation within the firm and clients. Contribute … engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data More ❯

wide Job Description: Key Responsibilities Lead the technical delivery of complex data engineering projects, ensuring solutions are scalable, secure, and aligned with our delivery framework, and client goals. Design and build high-quality data pipelines and integration workflows, setting the technical direction and ensuring engineering best practices are followed throughout the development lifecycle. Collaborate with multidisciplinary teams, including … translating data requirements into technical solutions and communicating complex ideas clearly and effectively. Champion engineering standards, contributing to the development and adoption of data engineering guidelines, design patterns, and delivery methodologies that contribute to our delivery framework. Stay current with emerging technologies, evaluating their relevance and potential impact, and promoting innovation within the firm and clients. Contribute … engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data More ❯

wide Job Description: Key Responsibilities Lead the technical delivery of complex data engineering projects, ensuring solutions are scalable, secure, and aligned with our delivery framework, and client goals. Design and build high-quality data pipelines and integration workflows, setting the technical direction and ensuring engineering best practices are followed throughout the development lifecycle. Collaborate with multidisciplinary teams, including … translating data requirements into technical solutions and communicating complex ideas clearly and effectively. Champion engineering standards, contributing to the development and adoption of data engineering guidelines, design patterns, and delivery methodologies that contribute to our delivery framework. Stay current with emerging technologies, evaluating their relevance and potential impact, and promoting innovation within the firm and clients. Contribute … engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data More ❯

wide Job Description: Key Responsibilities Lead the technical delivery of complex data engineering projects, ensuring solutions are scalable, secure, and aligned with our delivery framework, and client goals. Design and build high-quality data pipelines and integration workflows, setting the technical direction and ensuring engineering best practices are followed throughout the development lifecycle. Collaborate with multidisciplinary teams, including … translating data requirements into technical solutions and communicating complex ideas clearly and effectively. Champion engineering standards, contributing to the development and adoption of data engineering guidelines, design patterns, and delivery methodologies that contribute to our delivery framework. Stay current with emerging technologies, evaluating their relevance and potential impact, and promoting innovation within the firm and clients. Contribute … engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data More ❯