Frontend Software Engineer - Simulation Workbench London, United Kingdom About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The Role PhysicsX is developing a platform used by Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. The core of this platform relies on handling massive volumes of complex simulation data, enabling high-fidelity multi-physics simulation through AI inference. We are looking for a Senior Frontend Software Engineer to join our product team. You will be one of a small team of Front-end Engineers, collaborating in a cross-functional team with autonomy to drive implementation decisions. You will build and evolve the frontend that brings our platform to life - from rich 3D visualisations of simulation data to seamless API integrations powering complex ML workflows. You will design composable frontend architectures, optimise performance for data-heavy interfaces, and ensure our engineers and scientists can interact intuitively with massive datasets and simulation results. As a senior engineer, you will also play a key role in shaping technical direction - authoring Technical Decision Records, mentoring less experienced engineers, and driving the standards that keep our platform reliable, secure, and performant. This is a role for a builder who loves crafting exceptional user experiences as much as they love designing robust frontend architectures. What You Will Do Build and evolve a frontend platform that supports complex simulation and ML workflows - from 3D visualisations to seamless API integrations and data-heavy interfaces. Design and implement composable frontend architectures and component systems, including micro-frontend patterns, to enable scalable and maintainable development. Optimise user experience through advanced caching strategies, performance monitoring, layout and paint optimisation, and accessibility best practices. Design and implement advanced state management and data flow patterns to handle the demands of real-time simulation data and complex user interactions. Own your work end-to-end - from architectural design through to deployment and maintenance in a fast-paced, agile environment. Define performance standards and SLAs for the services you own; diagnose and resolve complex performance bottlenecks in rendering, layout, and data handling. Collaborate with backend engineers on the implementation of security risk mitigation strategies and performance optimisations for frontend applications. Drive best practices in CI/CD, automated testing, observability, and infrastructure-as-code; build and maintain deployment pipelines including zero-downtime and multi-service deployments. Author and review Technical Decision Records; participate in Technology Radar reviews to evaluate and adopt new tools and approaches. Mentor junior engineers, facilitate technical discussions, build consensus around decisions, and translate research needs into well-defined technical requirements. What You Bring to the Table A passion for the craft - a drive for engineering excellence and a commitment to sponsoring that culture across the team. Architectural versatility - proven track record building web-based user interfaces using a variety of architectural approaches - SPAs, server-rendered applications, hybrid architectures, micro-frontends - with a critical perspective on when each is the right choice. Experience with React and TypeScript is expected, but your identity is not defined by them. API and data handling maturity - experience designing frontends that integrate with complex backends via REST, GraphQL, WebSockets, and SSE, with attention to caching strategies, data access patterns, and forward compatibility. Reliability and observability mindset - experience defining performance standards and SLAs, implementing monitoring/alerting, and optimising observability in production environments. Security and accessibility awareness - familiarity with OAuth/JWT, XSS/CSRF prevention, WCAG, and ARIA standards; experience collaborating with backend teams on security risk mitigation. CI/CD and deployment expertise - hands-on experience building and optimising CI/CD pipelines (e.g. NX, GitHub Actions, monorepos), including multi-service and zero-downtime deployment strategies. Data visualisation experience - building rich, interactive visualisations using libraries such as Plotly, ECharts, Three.js, VTK, or WebGL to expose complex simulation data to end-users. Diagnostic and optimisation skills - a proactive mindset with the ability to identify and resolve complex performance bottlenecks from first principles - in rendering, networking, and data processing - rather than relying on framework-level fixes. Communication and leadership - excellent communication skills to discuss data needs with research scientists and translate them into technical specifications. Experience mentoring engineers and facilitating technical decisions. Ideally 3D and GPU Technologies: deep experience with WebGL, WebGPU, or WebAssembly for high-performance rendering of simulation data, meshes, and point clouds. Advanced Testing Techniques: experience with fuzzing, deterministic simulation testing, or fault injection in production systems; strong foundation in E2E and integration testing across different architectural patterns. Domain Knowledge: understanding of 3D geometry processing (meshes, point clouds) and the specific data structures used in physics-based simulations. What We Offer Equity options - share in our success and growth. 10% employer pension contribution - invest in your future. Free office lunches - great food to fuel your workdays. Flexible working - balance your work and life in a way that works for you. Hybrid setup - enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave - support for life's biggest milestones. Private healthcare - comprehensive coverage. Personal development - access learning and training to help you grow. Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application. Apply for this job indicates a required field First Name Last Name Preferred First Name Email Phone Country Phone Location (City) Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Website LinkedIn Profile Where did you hear about us? Select What is your notice period/when is the earliest you could start? Do you require Visa sponsorship to work in the role location? Select Please share your salary expectations: We collect diversity and inclusion data solely for the purposes of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.How would you describe your ethnicity? Select Do you have a disability or chronic condition (physical, visual, auditory, cognitive, mental, emotional, or other) that substantially limits one or more of your major life activities, including mobility, communication (seeing, hearing, speaking), and learning? Select How would you describe your gender identity? (mark all that apply) Select What interests you in Delivery at PhysicsX?
22/05/2026
Full time
Frontend Software Engineer - Simulation Workbench London, United Kingdom About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The Role PhysicsX is developing a platform used by Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. The core of this platform relies on handling massive volumes of complex simulation data, enabling high-fidelity multi-physics simulation through AI inference. We are looking for a Senior Frontend Software Engineer to join our product team. You will be one of a small team of Front-end Engineers, collaborating in a cross-functional team with autonomy to drive implementation decisions. You will build and evolve the frontend that brings our platform to life - from rich 3D visualisations of simulation data to seamless API integrations powering complex ML workflows. You will design composable frontend architectures, optimise performance for data-heavy interfaces, and ensure our engineers and scientists can interact intuitively with massive datasets and simulation results. As a senior engineer, you will also play a key role in shaping technical direction - authoring Technical Decision Records, mentoring less experienced engineers, and driving the standards that keep our platform reliable, secure, and performant. This is a role for a builder who loves crafting exceptional user experiences as much as they love designing robust frontend architectures. What You Will Do Build and evolve a frontend platform that supports complex simulation and ML workflows - from 3D visualisations to seamless API integrations and data-heavy interfaces. Design and implement composable frontend architectures and component systems, including micro-frontend patterns, to enable scalable and maintainable development. Optimise user experience through advanced caching strategies, performance monitoring, layout and paint optimisation, and accessibility best practices. Design and implement advanced state management and data flow patterns to handle the demands of real-time simulation data and complex user interactions. Own your work end-to-end - from architectural design through to deployment and maintenance in a fast-paced, agile environment. Define performance standards and SLAs for the services you own; diagnose and resolve complex performance bottlenecks in rendering, layout, and data handling. Collaborate with backend engineers on the implementation of security risk mitigation strategies and performance optimisations for frontend applications. Drive best practices in CI/CD, automated testing, observability, and infrastructure-as-code; build and maintain deployment pipelines including zero-downtime and multi-service deployments. Author and review Technical Decision Records; participate in Technology Radar reviews to evaluate and adopt new tools and approaches. Mentor junior engineers, facilitate technical discussions, build consensus around decisions, and translate research needs into well-defined technical requirements. What You Bring to the Table A passion for the craft - a drive for engineering excellence and a commitment to sponsoring that culture across the team. Architectural versatility - proven track record building web-based user interfaces using a variety of architectural approaches - SPAs, server-rendered applications, hybrid architectures, micro-frontends - with a critical perspective on when each is the right choice. Experience with React and TypeScript is expected, but your identity is not defined by them. API and data handling maturity - experience designing frontends that integrate with complex backends via REST, GraphQL, WebSockets, and SSE, with attention to caching strategies, data access patterns, and forward compatibility. Reliability and observability mindset - experience defining performance standards and SLAs, implementing monitoring/alerting, and optimising observability in production environments. Security and accessibility awareness - familiarity with OAuth/JWT, XSS/CSRF prevention, WCAG, and ARIA standards; experience collaborating with backend teams on security risk mitigation. CI/CD and deployment expertise - hands-on experience building and optimising CI/CD pipelines (e.g. NX, GitHub Actions, monorepos), including multi-service and zero-downtime deployment strategies. Data visualisation experience - building rich, interactive visualisations using libraries such as Plotly, ECharts, Three.js, VTK, or WebGL to expose complex simulation data to end-users. Diagnostic and optimisation skills - a proactive mindset with the ability to identify and resolve complex performance bottlenecks from first principles - in rendering, networking, and data processing - rather than relying on framework-level fixes. Communication and leadership - excellent communication skills to discuss data needs with research scientists and translate them into technical specifications. Experience mentoring engineers and facilitating technical decisions. Ideally 3D and GPU Technologies: deep experience with WebGL, WebGPU, or WebAssembly for high-performance rendering of simulation data, meshes, and point clouds. Advanced Testing Techniques: experience with fuzzing, deterministic simulation testing, or fault injection in production systems; strong foundation in E2E and integration testing across different architectural patterns. Domain Knowledge: understanding of 3D geometry processing (meshes, point clouds) and the specific data structures used in physics-based simulations. What We Offer Equity options - share in our success and growth. 10% employer pension contribution - invest in your future. Free office lunches - great food to fuel your workdays. Flexible working - balance your work and life in a way that works for you. Hybrid setup - enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave - support for life's biggest milestones. Private healthcare - comprehensive coverage. Personal development - access learning and training to help you grow. Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application. Apply for this job indicates a required field First Name Last Name Preferred First Name Email Phone Country Phone Location (City) Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Website LinkedIn Profile Where did you hear about us? Select What is your notice period/when is the earliest you could start? Do you require Visa sponsorship to work in the role location? Select Please share your salary expectations: We collect diversity and inclusion data solely for the purposes of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.How would you describe your ethnicity? Select Do you have a disability or chronic condition (physical, visual, auditory, cognitive, mental, emotional, or other) that substantially limits one or more of your major life activities, including mobility, communication (seeing, hearing, speaking), and learning? Select How would you describe your gender identity? (mark all that apply) Select What interests you in Delivery at PhysicsX?
Salary: £40k - £60k Methods Analytics (MA) is recruiting for a Data Engineer to join our team on a permanent basis. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. What You'll Be Doing as a Data Engineer: Work closely with cross functional teams, translating complex technical concepts into clear, accessible language for non technical audiences Collaborate with a dynamic delivery team on innovative projects, transforming raw data into powerful insights Design and implement efficient ETL and ELT pipelines using modern tools such as Python, SQL, and Apache Airflow Build scalable data solutions leveraging cloud platforms and technologies Develop and maintain sophisticated data models, employing dimensional modelling techniques to support comprehensive data analysis and reporting Implement best practices in data governance, security, and compliance to maintain data integrity Ensure data quality through rigorous QA processes, continuously refining and optimising data queries Develop intuitive dashboards that provide actionable insights to stakeholders Monitor and tune solution performance to enhance reliability, speed, and functionality of data systems Stay ahead of industry trends, continuously enhancing your skills with the latest data engineering tools and methodologies Contribute to the development of the Methods Analytics Engineering Practice by participating in our internal community of practice Your Impact: Enable business leaders to make informed decisions with confidence through timely, accurate data insights Drive adoption of modern data architectures and platforms Deliver seamless data solutions that enhance user experience Help cultivate a data driven culture within the organisation You Will Demonstrate: Strong proficiency in SQL and Python for handling complex data problems Experience building and optimising ETL/ELT pipelines Hands on experience with Apache Spark (PySpark or Spark SQL) Experience with the Azure data stack Knowledge of workflow orchestration tools like Apache Airflow Experience with containerisation technologies (Docker) Ability to craft efficient and performant queries Proficiency in dimensional modelling techniques Experience with CI/CD pipelines for data solutions Familiarity with test driven development principles applied to data pipeline construction and validation Strong communications skills for translating technical concepts to non technical audiences Business requirements analysis and translation into technical specifications You may also have some of the desirable skills and experience: Experience with data visualisation tools like Power BI or Apache Superset Experience with other cloud data platforms like AWS, GCP or Oracle Experience with modern unified data platforms like Databricks or Microsoft Fabric Familiarity with modern data lakehouse architectures Knowledge of legacy ETL tools like SSIS Experience with Kubernetes for container orchestration Understanding of streaming technologies (Apache Kafka, event based architectures) Software engineering background with SOLID principles understanding Experience with data governance tools Experience with high performance, large scale data systems Familiarity with Agile development methodologies Knowledge of recent innovations in AI/ML and GenAI Defence or Public Sector experience Consultant experience Security Clearance: UKSV (United Kingdom Security Vetting) clearance is required for this role, with Security Check (SC) as the minimum standard, either already held or with a willingness to undergo the process. Some roles/projects may require Developed Vetting (DV) clearance; while not mandatory, a willingness to obtain DV clearance would be beneficial. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard (BPSS); details of the evidence required to apply may be found on the government website GOV.UK - Government baseline personnel security standard. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview. Our Hiring Process At Methods Analytics, we believe in a transparent hiring process. Here's what you can expect: Internal Application Review Initial Phone Screen Technical Interview Collaborative Pair Programming Exercise Final Interview Offer Working at MA Methods Analytics (MA) exists to improve society by helping people make better decisions with data. Combining passionate people, sector specific insight, and technical excellence to provide our customers an end to end data service. We use a collaborative, creative and user centric approach to data to do good and solve difficult problems. Ensuring that our outputs are transparent, robust, and transformative. We value discussion and debate as part of our approach. We will question assumptions, ambition, and process - but do so with respect and humility. We relish difficult problems, and overcome them with innovation, creativity, and technical freedom to help us design optimum solutions. Ethics, privacy, and quality are at the heart of our work, and we will not sacrifice these for outcomes. We treat data with respect and use it only for the right purpose. Our people are positive, dedicated, and relentless. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure. But maintain a steely focus on outcomes and delivering quality products for our customers. We are passionate about our people; we want our colleagues to develop the things they are good at and enjoy. By joining us you can expect Autonomy to develop and grow your skills and experience Be part of exciting project work that is making a difference in society Strong, inspiring, and thought provoking leadership A supportive and collaborative environment As well as this, we offer: Development access to Pluralsight and LinkedIn Learning Wellness 24/7 Confidential employee assistance programme Social office parties, pizza Friday and commitment to charitable causes Time off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution Life Assurance of 4 times base salary Private Medical Insurance which is non contributory (spouse and dependants included) Worldwide Travel Insurance which is non contributory (spouse and dependants included)
22/05/2026
Full time
Salary: £40k - £60k Methods Analytics (MA) is recruiting for a Data Engineer to join our team on a permanent basis. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. What You'll Be Doing as a Data Engineer: Work closely with cross functional teams, translating complex technical concepts into clear, accessible language for non technical audiences Collaborate with a dynamic delivery team on innovative projects, transforming raw data into powerful insights Design and implement efficient ETL and ELT pipelines using modern tools such as Python, SQL, and Apache Airflow Build scalable data solutions leveraging cloud platforms and technologies Develop and maintain sophisticated data models, employing dimensional modelling techniques to support comprehensive data analysis and reporting Implement best practices in data governance, security, and compliance to maintain data integrity Ensure data quality through rigorous QA processes, continuously refining and optimising data queries Develop intuitive dashboards that provide actionable insights to stakeholders Monitor and tune solution performance to enhance reliability, speed, and functionality of data systems Stay ahead of industry trends, continuously enhancing your skills with the latest data engineering tools and methodologies Contribute to the development of the Methods Analytics Engineering Practice by participating in our internal community of practice Your Impact: Enable business leaders to make informed decisions with confidence through timely, accurate data insights Drive adoption of modern data architectures and platforms Deliver seamless data solutions that enhance user experience Help cultivate a data driven culture within the organisation You Will Demonstrate: Strong proficiency in SQL and Python for handling complex data problems Experience building and optimising ETL/ELT pipelines Hands on experience with Apache Spark (PySpark or Spark SQL) Experience with the Azure data stack Knowledge of workflow orchestration tools like Apache Airflow Experience with containerisation technologies (Docker) Ability to craft efficient and performant queries Proficiency in dimensional modelling techniques Experience with CI/CD pipelines for data solutions Familiarity with test driven development principles applied to data pipeline construction and validation Strong communications skills for translating technical concepts to non technical audiences Business requirements analysis and translation into technical specifications You may also have some of the desirable skills and experience: Experience with data visualisation tools like Power BI or Apache Superset Experience with other cloud data platforms like AWS, GCP or Oracle Experience with modern unified data platforms like Databricks or Microsoft Fabric Familiarity with modern data lakehouse architectures Knowledge of legacy ETL tools like SSIS Experience with Kubernetes for container orchestration Understanding of streaming technologies (Apache Kafka, event based architectures) Software engineering background with SOLID principles understanding Experience with data governance tools Experience with high performance, large scale data systems Familiarity with Agile development methodologies Knowledge of recent innovations in AI/ML and GenAI Defence or Public Sector experience Consultant experience Security Clearance: UKSV (United Kingdom Security Vetting) clearance is required for this role, with Security Check (SC) as the minimum standard, either already held or with a willingness to undergo the process. Some roles/projects may require Developed Vetting (DV) clearance; while not mandatory, a willingness to obtain DV clearance would be beneficial. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard (BPSS); details of the evidence required to apply may be found on the government website GOV.UK - Government baseline personnel security standard. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview. Our Hiring Process At Methods Analytics, we believe in a transparent hiring process. Here's what you can expect: Internal Application Review Initial Phone Screen Technical Interview Collaborative Pair Programming Exercise Final Interview Offer Working at MA Methods Analytics (MA) exists to improve society by helping people make better decisions with data. Combining passionate people, sector specific insight, and technical excellence to provide our customers an end to end data service. We use a collaborative, creative and user centric approach to data to do good and solve difficult problems. Ensuring that our outputs are transparent, robust, and transformative. We value discussion and debate as part of our approach. We will question assumptions, ambition, and process - but do so with respect and humility. We relish difficult problems, and overcome them with innovation, creativity, and technical freedom to help us design optimum solutions. Ethics, privacy, and quality are at the heart of our work, and we will not sacrifice these for outcomes. We treat data with respect and use it only for the right purpose. Our people are positive, dedicated, and relentless. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure. But maintain a steely focus on outcomes and delivering quality products for our customers. We are passionate about our people; we want our colleagues to develop the things they are good at and enjoy. By joining us you can expect Autonomy to develop and grow your skills and experience Be part of exciting project work that is making a difference in society Strong, inspiring, and thought provoking leadership A supportive and collaborative environment As well as this, we offer: Development access to Pluralsight and LinkedIn Learning Wellness 24/7 Confidential employee assistance programme Social office parties, pizza Friday and commitment to charitable causes Time off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution Life Assurance of 4 times base salary Private Medical Insurance which is non contributory (spouse and dependants included) Worldwide Travel Insurance which is non contributory (spouse and dependants included)
Salary:£40k - £80k Methods Analytics (MA) is recruiting for a Data Engineer to join our team permanent basis. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. What You'll Be Doing as a Data Engineer: Lead technical aspects of data engineering projects, providing direction and mentorship to junior and mid-level engineers Design and architect modern data solutions that align with business objectives and technical requirements Design and implement advanced ETL/ELT pipelines Build highly scalable and performant data solutions leveraging cloud platforms and open-source software Develop data models to handle enterprise-level analytical needs Make critical technical decisions on tools, frameworks, and approaches for complex data challenges Optimise large-scale data processing systems for performance and cost-efficiency Implement robust data quality frameworks and monitoring solutions Evaluate new technologies to enhance our data engineering capabilities Collaborate with stakeholders to translate business requirements into technical specifications Present technical solutions to leadership and non-technical stakeholders Contribute to the development of the Methods Analytics Engineering Practice by participating in our internal community of practice Your Impact: Enable business leaders to make informed decisions with confidence through timely, accurate data insights Drive adoption of modern data architectures and platforms Deliver seamless data solutions that enhance user experience Elevate the technical capabilities of the entire data engineering team Help cultivate a data-driven culture within the organisation Establish technical standards and patterns that ensure quality and maintainability You Will Demonstrate: Proven experience leading technical aspects of data projects Strong data architecture and modelling skills with the ability to design scalable data solutions Experience mentoring junior engineers and providing technical guidance Deep understanding of data warehouse design principles and methodologies Advanced knowledge of optimisation techniques for large-scale data processing Strong proficiency in SQL and Python for handling complex data problems Hands on experience with Apache Spark (PySpark or Spark SQL) Experience with the Azure data stack Knowledge of workflow orchestration tools like Azure Data Factory or Apache Airflow Experience with containerisation technologies like Docker Proficiency in dimensional modelling techniques Experience with CI/CD pipelines for data solutions Experience implementing and advocating for test driven development methodologies in data pipeline workflows, including unit testing, integration testing, and data quality validation frameworks Strong communication skills for translating complex technical concepts Track record of successful project delivery in a technical leadership capacity You may also have some of the desirable skills and experience: Experience designing and implementing data mesh or data fabric architectures Knowledge of cost optimisation strategies for cloud data platforms Experience with data quality frameworks and implementation Understanding of data lineage and metadata management Experience with technical project management Experience with data visualisation tools like Power BI or Apache Superset Experience with other cloud data platforms like AWS, GCP or Oracle Experience with modern unified data platforms like Databricks or Microsoft Fabric Experience with Kubernetes for container orchestration Understanding of streaming technologies (Apache Kafka, event-based architectures) Software engineering background with SOLID principles understanding Experience with high-performance, large-scale data systems Knowledge of recent innovations in AI/ML and GenAI Defence/Public Sector consultant experience Security Clearance: UKSV (United Kingdom Security Vetting) clearance is required for this role, with Security Check (SC) as the minimum standard, either already held or with a willingness to undergo the process. Some roles/projects may require Developed Vetting (DV) clearance; while not mandatory, a willingness to obtain DV clearance would be beneficial. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard (BPSS); details of the evidence required to apply may be found on the government website GOV.UK - Government baseline personnel security standard. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview. Our Hiring Process At Methods Analytics, we believe in a transparent hiring process. Here's what you can expect: Internal Application Review Initial Phone Screen Technical Interview Pair Programming Exercise Final Interview Offer Working at MA Methods Analytics (MA) exists to improve society by helping people make better decisions with data. Combining passionate people, sector specific insight, and technical excellence to provide our customers an end to end data service. We use a collaborative, creative and user centric approach to data to do good and solve difficult problems. Ensuring that our outputs are transparent, robust, and transformative. We value discussion and debate as part of our approach. We will question assumptions, ambition, and process - but do so with respect and humility. We relish difficult problems, and overcome them with innovation, creativity, and technical freedom to help us design optimum solutions. Ethics, privacy, and quality are at the heart of our work, and we will not sacrifice these for outcomes. We treat data with respect and use it only for the right purpose. Our people are positive, dedicated, and relentless. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure. But maintain a steely focus on outcomes and delivering quality products for our customers. We are passionate about our people; we want our colleagues to develop the things they are good at and enjoy. By joining us you can expect Autonomy to develop and grow your skills and experience Be part of exciting project work that is making a difference in society Strong, inspiring, and thought provoking leadership A supportive and collaborative environment As well as this, we offer: Annual two day technical hackathon bringing together all technical teams for innovation and collaboration Monthly Engineering & Architecture Community of Practice event Bi annual whole company teambuilding events bringing everyone together for a day of fun and connection Development access to Pluralsight and LinkedIn Learning Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organization Private Medical Insurance which is non contributory (spouse and dependants included) Worldwide Travel Insurance which is non contributory (spouse and dependants included) Life Assurance of 4 times base salary Time off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution Wellness 24/7 Confidential employee assistance programme Social - office parties, pizza Friday and commitment to charitable causes
22/05/2026
Full time
Salary:£40k - £80k Methods Analytics (MA) is recruiting for a Data Engineer to join our team permanent basis. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. What You'll Be Doing as a Data Engineer: Lead technical aspects of data engineering projects, providing direction and mentorship to junior and mid-level engineers Design and architect modern data solutions that align with business objectives and technical requirements Design and implement advanced ETL/ELT pipelines Build highly scalable and performant data solutions leveraging cloud platforms and open-source software Develop data models to handle enterprise-level analytical needs Make critical technical decisions on tools, frameworks, and approaches for complex data challenges Optimise large-scale data processing systems for performance and cost-efficiency Implement robust data quality frameworks and monitoring solutions Evaluate new technologies to enhance our data engineering capabilities Collaborate with stakeholders to translate business requirements into technical specifications Present technical solutions to leadership and non-technical stakeholders Contribute to the development of the Methods Analytics Engineering Practice by participating in our internal community of practice Your Impact: Enable business leaders to make informed decisions with confidence through timely, accurate data insights Drive adoption of modern data architectures and platforms Deliver seamless data solutions that enhance user experience Elevate the technical capabilities of the entire data engineering team Help cultivate a data-driven culture within the organisation Establish technical standards and patterns that ensure quality and maintainability You Will Demonstrate: Proven experience leading technical aspects of data projects Strong data architecture and modelling skills with the ability to design scalable data solutions Experience mentoring junior engineers and providing technical guidance Deep understanding of data warehouse design principles and methodologies Advanced knowledge of optimisation techniques for large-scale data processing Strong proficiency in SQL and Python for handling complex data problems Hands on experience with Apache Spark (PySpark or Spark SQL) Experience with the Azure data stack Knowledge of workflow orchestration tools like Azure Data Factory or Apache Airflow Experience with containerisation technologies like Docker Proficiency in dimensional modelling techniques Experience with CI/CD pipelines for data solutions Experience implementing and advocating for test driven development methodologies in data pipeline workflows, including unit testing, integration testing, and data quality validation frameworks Strong communication skills for translating complex technical concepts Track record of successful project delivery in a technical leadership capacity You may also have some of the desirable skills and experience: Experience designing and implementing data mesh or data fabric architectures Knowledge of cost optimisation strategies for cloud data platforms Experience with data quality frameworks and implementation Understanding of data lineage and metadata management Experience with technical project management Experience with data visualisation tools like Power BI or Apache Superset Experience with other cloud data platforms like AWS, GCP or Oracle Experience with modern unified data platforms like Databricks or Microsoft Fabric Experience with Kubernetes for container orchestration Understanding of streaming technologies (Apache Kafka, event-based architectures) Software engineering background with SOLID principles understanding Experience with high-performance, large-scale data systems Knowledge of recent innovations in AI/ML and GenAI Defence/Public Sector consultant experience Security Clearance: UKSV (United Kingdom Security Vetting) clearance is required for this role, with Security Check (SC) as the minimum standard, either already held or with a willingness to undergo the process. Some roles/projects may require Developed Vetting (DV) clearance; while not mandatory, a willingness to obtain DV clearance would be beneficial. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard (BPSS); details of the evidence required to apply may be found on the government website GOV.UK - Government baseline personnel security standard. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview. Our Hiring Process At Methods Analytics, we believe in a transparent hiring process. Here's what you can expect: Internal Application Review Initial Phone Screen Technical Interview Pair Programming Exercise Final Interview Offer Working at MA Methods Analytics (MA) exists to improve society by helping people make better decisions with data. Combining passionate people, sector specific insight, and technical excellence to provide our customers an end to end data service. We use a collaborative, creative and user centric approach to data to do good and solve difficult problems. Ensuring that our outputs are transparent, robust, and transformative. We value discussion and debate as part of our approach. We will question assumptions, ambition, and process - but do so with respect and humility. We relish difficult problems, and overcome them with innovation, creativity, and technical freedom to help us design optimum solutions. Ethics, privacy, and quality are at the heart of our work, and we will not sacrifice these for outcomes. We treat data with respect and use it only for the right purpose. Our people are positive, dedicated, and relentless. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure. But maintain a steely focus on outcomes and delivering quality products for our customers. We are passionate about our people; we want our colleagues to develop the things they are good at and enjoy. By joining us you can expect Autonomy to develop and grow your skills and experience Be part of exciting project work that is making a difference in society Strong, inspiring, and thought provoking leadership A supportive and collaborative environment As well as this, we offer: Annual two day technical hackathon bringing together all technical teams for innovation and collaboration Monthly Engineering & Architecture Community of Practice event Bi annual whole company teambuilding events bringing everyone together for a day of fun and connection Development access to Pluralsight and LinkedIn Learning Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organization Private Medical Insurance which is non contributory (spouse and dependants included) Worldwide Travel Insurance which is non contributory (spouse and dependants included) Life Assurance of 4 times base salary Time off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution Wellness 24/7 Confidential employee assistance programme Social - office parties, pizza Friday and commitment to charitable causes
Who We Are Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo's growth at scale. We're looking for a Senior Software Engineer, Proactive Security to join our London (Hybrid - 3 days from the office) team. In this role, you will be a part of our inclusive, collaborative global team responsible for enabling proactive security outcomes with "security paved paths" to ensure a safe, reliable and resilient delivery network. Get to know our Proactive Security Engineering team - what drives us, how we work, and what you can expect. About the Team At Deliveroo we're striving to build London's best and most admired Security Engineering organisation as part of our global team based across North America and Europe. Our London based Security Engineering team is looking for a Software Engineer to lead the design, development and operation of security services within Deliveroo's Product and Cloud Security domains. You will be a part of our inclusive, collaborative global team responsible for building "security paved paths" to ensure a safe, reliable and resilient delivery network. This is a London based position reporting directly to the European Senior Manager of our Security Engineering team based in London. What You'll Need to Thrive Build and maintain core security products, including but not limited to Remote Access Management, Secrets Management, Tokenization, Encryption and Knowledge Graphs, Access Control at global scale. Partner cross-functionally with Core Infrastructure, Product Engineering, Legal, Security teams and Vendor Partners to build "paved paths" that provide actionable feedback to embed secure design practices into the product and infrastructure development process. Lead the technical direction and roadmap for your assigned area of ownership. Build and maintain high Operational Excellence (OE) to ensure we operate T0 services with excellence, rigor and durable standards to ensure minimal to no downtime. Participate in on-call rotation and promptly respond to on-call events with urgency and rigor. Manage the lifecycle of security product feature requests and improvements full life cycle from triage, validation, design, testing, and implementation. Influence and drive improvements to engineering standards, leverage advancements and LLMs to improve productivity and velocity. Mentor and coach earlier career engineers, setting and enforcing high standards for Operational Excellence and Software Engineering. Requirements Able to demonstrate a track record of driving improvements to a company's infrastructure security posture. Breadth of technical experience across various infrastructure and security areas running in large production environments. Highly skilled in distributed systems and platforms development using program languages such as Java/Scala/Kotlin, Golang, or Python. Strong experience with infrastructure as a code tooling like Terraform. Expertise with cloud infrastructure and management in AWS. Experience solving complex, systemic issues that require creative thinking and solutions. Exceptional analytical and investigative abilities with hands on experience leading root cause analysis. Excellent verbal and written communication skills to review design documents with respect to cloud infrastructure, security and engineering personnel. Must be comfortable regularly exercising discretion and independent judgment in performing job duties, including evaluating options, making informed decisions, and determining appropriate courses of action within the scope of assigned responsibilities with minimal oversight. Why Join Us? At Deliveroo, you'll do work that matters-solving real world problems in a three-sided marketplace that's constantly evolving. We're food lovers, problem solvers, community organisers, proud parents, and more, brought together by a shared drive to make things better. Working here you can expect to: Solve meaningful problems at real scale Work on a complex, always on marketplace that impacts millions every day. See your impact, ship fast, leaning into AI, test and improve ideas quickly in a low hierarchy, high ownership environment. Grow through challenge and ownership. Take on big, ambiguous problems and accelerate your career with strong support. A culture built for builders high standards, collaboration, flexible working and continuous learning. Share in the success you help create competitive salary and DoorDash RSUs, so you're rewarded for the impact you make. ️ Want a deeper look at how we build? Check out our Tech Blog. We aim to create a fair process that lets your skills shine-our interview typically includes 5-6 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we're unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We're committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio economic background, religion, or belief. If you have a disability or long term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you'll have the opportunity to let us know once you've submitted your application. We'll share details on how to request support so we can ensure you have a fair and equitable experience. If you're excited about making a real impact in a fast moving marketplace and growing your career alongside ambitious, supportive teams, we'd love to hear from you!
22/05/2026
Full time
Who We Are Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo's growth at scale. We're looking for a Senior Software Engineer, Proactive Security to join our London (Hybrid - 3 days from the office) team. In this role, you will be a part of our inclusive, collaborative global team responsible for enabling proactive security outcomes with "security paved paths" to ensure a safe, reliable and resilient delivery network. Get to know our Proactive Security Engineering team - what drives us, how we work, and what you can expect. About the Team At Deliveroo we're striving to build London's best and most admired Security Engineering organisation as part of our global team based across North America and Europe. Our London based Security Engineering team is looking for a Software Engineer to lead the design, development and operation of security services within Deliveroo's Product and Cloud Security domains. You will be a part of our inclusive, collaborative global team responsible for building "security paved paths" to ensure a safe, reliable and resilient delivery network. This is a London based position reporting directly to the European Senior Manager of our Security Engineering team based in London. What You'll Need to Thrive Build and maintain core security products, including but not limited to Remote Access Management, Secrets Management, Tokenization, Encryption and Knowledge Graphs, Access Control at global scale. Partner cross-functionally with Core Infrastructure, Product Engineering, Legal, Security teams and Vendor Partners to build "paved paths" that provide actionable feedback to embed secure design practices into the product and infrastructure development process. Lead the technical direction and roadmap for your assigned area of ownership. Build and maintain high Operational Excellence (OE) to ensure we operate T0 services with excellence, rigor and durable standards to ensure minimal to no downtime. Participate in on-call rotation and promptly respond to on-call events with urgency and rigor. Manage the lifecycle of security product feature requests and improvements full life cycle from triage, validation, design, testing, and implementation. Influence and drive improvements to engineering standards, leverage advancements and LLMs to improve productivity and velocity. Mentor and coach earlier career engineers, setting and enforcing high standards for Operational Excellence and Software Engineering. Requirements Able to demonstrate a track record of driving improvements to a company's infrastructure security posture. Breadth of technical experience across various infrastructure and security areas running in large production environments. Highly skilled in distributed systems and platforms development using program languages such as Java/Scala/Kotlin, Golang, or Python. Strong experience with infrastructure as a code tooling like Terraform. Expertise with cloud infrastructure and management in AWS. Experience solving complex, systemic issues that require creative thinking and solutions. Exceptional analytical and investigative abilities with hands on experience leading root cause analysis. Excellent verbal and written communication skills to review design documents with respect to cloud infrastructure, security and engineering personnel. Must be comfortable regularly exercising discretion and independent judgment in performing job duties, including evaluating options, making informed decisions, and determining appropriate courses of action within the scope of assigned responsibilities with minimal oversight. Why Join Us? At Deliveroo, you'll do work that matters-solving real world problems in a three-sided marketplace that's constantly evolving. We're food lovers, problem solvers, community organisers, proud parents, and more, brought together by a shared drive to make things better. Working here you can expect to: Solve meaningful problems at real scale Work on a complex, always on marketplace that impacts millions every day. See your impact, ship fast, leaning into AI, test and improve ideas quickly in a low hierarchy, high ownership environment. Grow through challenge and ownership. Take on big, ambiguous problems and accelerate your career with strong support. A culture built for builders high standards, collaboration, flexible working and continuous learning. Share in the success you help create competitive salary and DoorDash RSUs, so you're rewarded for the impact you make. ️ Want a deeper look at how we build? Check out our Tech Blog. We aim to create a fair process that lets your skills shine-our interview typically includes 5-6 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we're unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We're committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio economic background, religion, or belief. If you have a disability or long term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you'll have the opportunity to let us know once you've submitted your application. We'll share details on how to request support so we can ensure you have a fair and equitable experience. If you're excited about making a real impact in a fast moving marketplace and growing your career alongside ambitious, supportive teams, we'd love to hear from you!
Job Description We're looking for experienced Golang engineers to join us on a cutting edge platform engineering and AI programme with a global financial leader. You'll be part of a high calibre engineering team building secure, scalable AI platforms. You'll work on Platform Engineering and Internal Developer Platform initiatives that help engineering teams move faster, and on agentic AI tooling that's transforming how we work. This role sits at the intersection of core engineering and emerging AI technology. You'll be helping to shape best practices for how developers use GenAI tools safely and effectively, building secure frameworks and core platform services for use of AI, and deploying LLMs in a private enterprise environment. If you enjoy solving complex problems, learning new technologies, and contributing to high impact technical strategy, you'll feel right at home. Core skills Strong commercial experience with Go - this is essential Deep knowledge of Kubernetes Solid understanding of cloud-native architecture, scaling, SRE and DevOps practices Breadth across core engineering disciplines (infrastructure, architecture frameworks, CI/CD, security, scaling) Curiosity and enthusiasm for agentic and generative AI technologies Nice to have, but not essential Experience in Platform Engineering teams, running technical platforms at scale Knowledge of other languages such as Kotlin, Java, or Python Background in financial services or large-scale engineering environments Experience contributing to open-source or internal frameworks What we offer Work on a high profile, long term programme with a global financial leader. You'll have a significant impact, and a chance to build platform features that you can be proud of. Work in a talented team, learning from exceptional colleagues with a real focus on getting things done. Opportunities for learning and growth, including exposure to the latest AI technologies and practices. Great benefits, including full medical, 10% matched pension and regular premium events. WFH? These roles are hybrid - typically one office day per month, with most work done remotely. You'll need to be UK-based and within a commutable distance to London for occasional on site collaboration. Contract type Permanent only. Eligibility We can only consider candidates who have the right to work in the UK and do not require visa sponsorship. Interested? Email with your CV and a brief introduction. Even if you're not sure you tick every box, we'd still love to hear from you - we're always keen to meet passionate, technically curious developers and can keep you in mind for future projects if this one isn't the right fit.
22/05/2026
Full time
Job Description We're looking for experienced Golang engineers to join us on a cutting edge platform engineering and AI programme with a global financial leader. You'll be part of a high calibre engineering team building secure, scalable AI platforms. You'll work on Platform Engineering and Internal Developer Platform initiatives that help engineering teams move faster, and on agentic AI tooling that's transforming how we work. This role sits at the intersection of core engineering and emerging AI technology. You'll be helping to shape best practices for how developers use GenAI tools safely and effectively, building secure frameworks and core platform services for use of AI, and deploying LLMs in a private enterprise environment. If you enjoy solving complex problems, learning new technologies, and contributing to high impact technical strategy, you'll feel right at home. Core skills Strong commercial experience with Go - this is essential Deep knowledge of Kubernetes Solid understanding of cloud-native architecture, scaling, SRE and DevOps practices Breadth across core engineering disciplines (infrastructure, architecture frameworks, CI/CD, security, scaling) Curiosity and enthusiasm for agentic and generative AI technologies Nice to have, but not essential Experience in Platform Engineering teams, running technical platforms at scale Knowledge of other languages such as Kotlin, Java, or Python Background in financial services or large-scale engineering environments Experience contributing to open-source or internal frameworks What we offer Work on a high profile, long term programme with a global financial leader. You'll have a significant impact, and a chance to build platform features that you can be proud of. Work in a talented team, learning from exceptional colleagues with a real focus on getting things done. Opportunities for learning and growth, including exposure to the latest AI technologies and practices. Great benefits, including full medical, 10% matched pension and regular premium events. WFH? These roles are hybrid - typically one office day per month, with most work done remotely. You'll need to be UK-based and within a commutable distance to London for occasional on site collaboration. Contract type Permanent only. Eligibility We can only consider candidates who have the right to work in the UK and do not require visa sponsorship. Interested? Email with your CV and a brief introduction. Even if you're not sure you tick every box, we'd still love to hear from you - we're always keen to meet passionate, technically curious developers and can keep you in mind for future projects if this one isn't the right fit.
Role: Salesforce Solution Architect Location: London, UK Is it Permanent / Contract: FTC for 12months or contract inside IR35 Rate/Salary: Submit at best rate in the market; lowest rate will be considered first. Is it Onsite/Remote/Hybrid: 4 days per week from office Role Overview We are seeking an experienced Salesforce Solution Architect to provide architectural leadership within Agile Scrum teams delivering enterprise-scale solutions on the Salesforce platform. This role focuses on translating business requirements into scalable, secure, and maintainable technical solutions aligned with Salesforce best practices. Working closely with Product Owners, Business Analysts, Developers, and key stakeholders, you will shape solution design, guide technical delivery, and ensure optimal use of Salesforce capabilities. You will champion the "art of the possible" within Salesforce, prioritising out-of-the-box functionality while ensuring seamless integration across the wider enterprise ecosystem. Key Responsibilities Architecture & Agile Delivery Act as the primary technical design authority within Scrum teams Support backlog refinement, sprint planning, and solution design discussions Assess technical feasibility, define user stories, and identify risks and dependencies Collaborate closely with developers to ensure alignment with architecture and best practices Solution Design & Technical Leadership Design scalable solutions across Sales Cloud, Experience Cloud, and the Salesforce Platform Define architecture patterns for data models, automation (Flow vs Apex), integrations, and security Provide hands on technical guidance to developers, admins, and integration teams Produce architecture artefacts including solution diagrams, data models, and integration flows Platform Expertise Advise teams on Salesforce capabilities and best practices Promote declarative, out of the box solutions over custom development where appropriate Guide the use of Flow, Apex, Lightning Web Components, Platform Events, and APIs Ensure compliance with platform limits, performance standards, and governance Integration & Ecosystem Alignment Define and validate integration patterns using REST/SOAP APIs, events, and middleware (e.g., MuleSoft) Ensure robust data flows, ownership models, and system interoperability Align Salesforce solutions with enterprise architecture standards Governance & Quality Assurance Conduct design reviews to ensure scalability, maintainability, and security Identify and mitigate technical risks early in the delivery lifecycle Maintain high standards of documentation, testing, and overall technical quality Stakeholder Engagement Act as a trusted advisor to business and technical stakeholders Communicate complex technical concepts clearly to diverse audiences Provide balanced recommendations considering business value, technical feasibility, and sustainability Required Skills & Experience Salesforce Expertise Strong knowledge of Sales Cloud, Experience Cloud, and the Salesforce Platform Hands on experience with Flow, Apex, Lightning Web Components, and data modelling Proven ability to design solutions within Salesforce governor limits Integration & Architecture Experience with API led and event driven architectures Strong understanding of REST/SOAP APIs and middleware platforms (e.g., MuleSoft) Solid knowledge of Salesforce data architecture Agile Delivery Experience working in Agile Scrum environments Strong involvement in backlog refinement, sprint planning, and user story definition Ability to collaborate effectively with cross functional teams Leadership & Communication Excellent stakeholder management and communication skills Ability to influence technical decisions without direct authority Strong analytical and problem solving capabilities Desirable Qualifications Salesforce Certified Application Architect or System Architect Additional certifications such as Platform Developer, Integration Architecture Designer, or Data Architecture Designer Experience delivering complex Salesforce transformations or multi system integrations Success Criteria Delivery of scalable, secure, and high quality Salesforce solutions Strong alignment with Salesforce best practices and enterprise architecture Effective collaboration across product, engineering, and architecture teams Reduced technical risk and improved long term platform sustainability
22/05/2026
Full time
Role: Salesforce Solution Architect Location: London, UK Is it Permanent / Contract: FTC for 12months or contract inside IR35 Rate/Salary: Submit at best rate in the market; lowest rate will be considered first. Is it Onsite/Remote/Hybrid: 4 days per week from office Role Overview We are seeking an experienced Salesforce Solution Architect to provide architectural leadership within Agile Scrum teams delivering enterprise-scale solutions on the Salesforce platform. This role focuses on translating business requirements into scalable, secure, and maintainable technical solutions aligned with Salesforce best practices. Working closely with Product Owners, Business Analysts, Developers, and key stakeholders, you will shape solution design, guide technical delivery, and ensure optimal use of Salesforce capabilities. You will champion the "art of the possible" within Salesforce, prioritising out-of-the-box functionality while ensuring seamless integration across the wider enterprise ecosystem. Key Responsibilities Architecture & Agile Delivery Act as the primary technical design authority within Scrum teams Support backlog refinement, sprint planning, and solution design discussions Assess technical feasibility, define user stories, and identify risks and dependencies Collaborate closely with developers to ensure alignment with architecture and best practices Solution Design & Technical Leadership Design scalable solutions across Sales Cloud, Experience Cloud, and the Salesforce Platform Define architecture patterns for data models, automation (Flow vs Apex), integrations, and security Provide hands on technical guidance to developers, admins, and integration teams Produce architecture artefacts including solution diagrams, data models, and integration flows Platform Expertise Advise teams on Salesforce capabilities and best practices Promote declarative, out of the box solutions over custom development where appropriate Guide the use of Flow, Apex, Lightning Web Components, Platform Events, and APIs Ensure compliance with platform limits, performance standards, and governance Integration & Ecosystem Alignment Define and validate integration patterns using REST/SOAP APIs, events, and middleware (e.g., MuleSoft) Ensure robust data flows, ownership models, and system interoperability Align Salesforce solutions with enterprise architecture standards Governance & Quality Assurance Conduct design reviews to ensure scalability, maintainability, and security Identify and mitigate technical risks early in the delivery lifecycle Maintain high standards of documentation, testing, and overall technical quality Stakeholder Engagement Act as a trusted advisor to business and technical stakeholders Communicate complex technical concepts clearly to diverse audiences Provide balanced recommendations considering business value, technical feasibility, and sustainability Required Skills & Experience Salesforce Expertise Strong knowledge of Sales Cloud, Experience Cloud, and the Salesforce Platform Hands on experience with Flow, Apex, Lightning Web Components, and data modelling Proven ability to design solutions within Salesforce governor limits Integration & Architecture Experience with API led and event driven architectures Strong understanding of REST/SOAP APIs and middleware platforms (e.g., MuleSoft) Solid knowledge of Salesforce data architecture Agile Delivery Experience working in Agile Scrum environments Strong involvement in backlog refinement, sprint planning, and user story definition Ability to collaborate effectively with cross functional teams Leadership & Communication Excellent stakeholder management and communication skills Ability to influence technical decisions without direct authority Strong analytical and problem solving capabilities Desirable Qualifications Salesforce Certified Application Architect or System Architect Additional certifications such as Platform Developer, Integration Architecture Designer, or Data Architecture Designer Experience delivering complex Salesforce transformations or multi system integrations Success Criteria Delivery of scalable, secure, and high quality Salesforce solutions Strong alignment with Salesforce best practices and enterprise architecture Effective collaboration across product, engineering, and architecture teams Reduced technical risk and improved long term platform sustainability
Nomios' mission is to build a 'secure and connected' future. Organisations across the globe depend on us to help secure and connect their digital infrastructures. To support our continued growth in the UK, we are seeking an experienced Network and Security Managed Services Engineer with strong specialisation in Palo Alto Networks technologies to join our team. This role requires a deep technical focus on the Palo Alto Networks ecosystem, with hands on expertise across the Palo Alto security platform and product stack. The successful candidate will be comfortable designing, supporting, and troubleshooting Palo Alto Networks solutions within complex customer environments and acting as a trusted technical specialist in this area. Candidates must hold a current Palo Alto Networks certification such as PCNSE (Palo Alto Networks Certified Network Security Engineer) or an equivalent Palo Alto certification. This is a fantastic opportunity for an engineer looking to further develop their career within a highly skilled technical team, working extensively with Palo Alto Networks technologies. The ideal candidate will bring a specialist mindset, proactive approach, and strong technical curiosity, while also being keen to share knowledge and mentor others within the team. Your role as Network and Security Managed Services Engineer Your role as a Network and Security Engineer is critical to our customer support processes. You will provide Level 2 and Level 3 support to our clients to resolve complex network/systems faults, in addition to implementing customer service requests on a range of networking technologies, including WAN, Managed LAN, Firewalls and Wi Fi. Working as part of a team, you need to love what you do! You should want to consistently learn and certify; be able to challenge the status quo; thrive on problem solving; and have a keen eye for detail. Responsibilities Your responsibilities will support the aim of providing a first-class customer experience, with a strong focus on delivering expert support across the Palo Alto Networks security platform. You will be expected to: Conduct technical onboarding of new clients, including configuring Palo Alto Networks solutions, VPN access, alert monitoring, and maintaining accurate technical documentation. Ensure that assigned Palo Alto Networks infrastructure within customer environments is configured, deployed, tested, and fully operational; monitor customer environments remotely. Proactively identify network and security issues within Palo Alto environments, logging incidents with the appropriate level of detail and taking ownership through to resolution. Implement configuration changes to Palo Alto Networks platforms in line with agreed change management processes. Perform software upgrades, patches, and security updates across supported Palo Alto technologies. Provide 2nd and 3rd Line support for Palo Alto Networks solutions, resolving faults and fulfilling service requests within managed service environments. Deliver excellent customer service, managing customer communications and expectations throughout incident resolution and service delivery. Work within strict Service Level Agreements (SLAs) for change requests, fault restoration, and incident resolution. Manage and coordinate escalated incidents, liaising with Palo Alto Networks support where required for major incidents or complex technical issues. Ensure customers receive clear and timely progress updates on incidents and service requests, while keeping internal systems and ticketing platforms fully updated. Manage support tickets effectively to meet agreed KPIs and operational targets. Provide mentoring and technical guidance to junior engineers, particularly around Palo Alto Networks technologies and best practices. Contribute to Continual Service Improvement (CSI) initiatives to enhance service delivery and customer experience. Collaborate with the wider technical and security community within Nomios on projects, improvements, and knowledge sharing related to Palo Alto Networks solutions. We hire smart, high energy people who take pride in delivering high quality technical support. You will be a highly motivated individual who works well within a collaborative team environment and communicates clearly with both colleagues and customers. A strong desire to continuously learn and develop your expertise - particularly within the Palo Alto Networks ecosystem - is essential. You must be able to demonstrate the skills and competencies required to deliver first class service and technical support within a managed services environment. Essential experience: Strong hands on experience with Palo Alto Networks technologies, including Next Generation Firewalls and the wider Palo Alto security platform. Proven experience managing and supporting network infrastructure, including switches, routers, and firewalls. Strong troubleshooting and problem solving skills across network and security environments. Experience with network monitoring tools using SNMP (e.g., Zabbix or similar platforms). Experience working within an ITIL based support environment and meeting defined SLAs. Excellent written and verbal communication skills, with the ability to clearly explain technical issues to customers and colleagues. Deep working knowledge of networking and network security principles. Certifications: Palo Alto Networks Certified Network Security Engineer (PCNSE) or equivalent Palo Alto certification (current). Additional Palo Alto certifications such as Next Generation Firewall Engineer or Security Service Edge Engineer are highly desirable. Desired experience: Experience supporting or managing Palo Alto Prisma Access or SASE solutions. Experience supporting or managing SD WAN environments, particularly within the Palo Alto ecosystem. Broader exposure to cloud delivered security and modern security architectures. Job Specifics This is a hybrid role, requiring attendance at our Basingstoke office (free hot & cold drinks, breakfast items, snacks, lunches, and regular takeaway Fridays are provided to all staff in the office!). Hours are full time: Monday Friday, 9:00am 5:30pm. Flexibility with hours is required in the event of a major incident. Why would you choose to come and work with us? You will get to work in a dynamic, fast paced environment where you are free to use your initiative in support of our strategic objectives. You will work alongside high calibre sales, technical, and operational experts as part of a supportive, tight knit team, within which every individual has an important part to play and makes a real difference. Nomios offers a highly competitive remuneration scheme along with industry leading benefits. Nomios is an equal opportunity employer and is committed to creating and sustaining an environment in which everyone is provided with an equal opportunity to grow and develop, and no individual will be unjustly discriminated against. This includes, but is not limited to, discrimination because of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion and belief, sex and sexual orientation.
22/05/2026
Full time
Nomios' mission is to build a 'secure and connected' future. Organisations across the globe depend on us to help secure and connect their digital infrastructures. To support our continued growth in the UK, we are seeking an experienced Network and Security Managed Services Engineer with strong specialisation in Palo Alto Networks technologies to join our team. This role requires a deep technical focus on the Palo Alto Networks ecosystem, with hands on expertise across the Palo Alto security platform and product stack. The successful candidate will be comfortable designing, supporting, and troubleshooting Palo Alto Networks solutions within complex customer environments and acting as a trusted technical specialist in this area. Candidates must hold a current Palo Alto Networks certification such as PCNSE (Palo Alto Networks Certified Network Security Engineer) or an equivalent Palo Alto certification. This is a fantastic opportunity for an engineer looking to further develop their career within a highly skilled technical team, working extensively with Palo Alto Networks technologies. The ideal candidate will bring a specialist mindset, proactive approach, and strong technical curiosity, while also being keen to share knowledge and mentor others within the team. Your role as Network and Security Managed Services Engineer Your role as a Network and Security Engineer is critical to our customer support processes. You will provide Level 2 and Level 3 support to our clients to resolve complex network/systems faults, in addition to implementing customer service requests on a range of networking technologies, including WAN, Managed LAN, Firewalls and Wi Fi. Working as part of a team, you need to love what you do! You should want to consistently learn and certify; be able to challenge the status quo; thrive on problem solving; and have a keen eye for detail. Responsibilities Your responsibilities will support the aim of providing a first-class customer experience, with a strong focus on delivering expert support across the Palo Alto Networks security platform. You will be expected to: Conduct technical onboarding of new clients, including configuring Palo Alto Networks solutions, VPN access, alert monitoring, and maintaining accurate technical documentation. Ensure that assigned Palo Alto Networks infrastructure within customer environments is configured, deployed, tested, and fully operational; monitor customer environments remotely. Proactively identify network and security issues within Palo Alto environments, logging incidents with the appropriate level of detail and taking ownership through to resolution. Implement configuration changes to Palo Alto Networks platforms in line with agreed change management processes. Perform software upgrades, patches, and security updates across supported Palo Alto technologies. Provide 2nd and 3rd Line support for Palo Alto Networks solutions, resolving faults and fulfilling service requests within managed service environments. Deliver excellent customer service, managing customer communications and expectations throughout incident resolution and service delivery. Work within strict Service Level Agreements (SLAs) for change requests, fault restoration, and incident resolution. Manage and coordinate escalated incidents, liaising with Palo Alto Networks support where required for major incidents or complex technical issues. Ensure customers receive clear and timely progress updates on incidents and service requests, while keeping internal systems and ticketing platforms fully updated. Manage support tickets effectively to meet agreed KPIs and operational targets. Provide mentoring and technical guidance to junior engineers, particularly around Palo Alto Networks technologies and best practices. Contribute to Continual Service Improvement (CSI) initiatives to enhance service delivery and customer experience. Collaborate with the wider technical and security community within Nomios on projects, improvements, and knowledge sharing related to Palo Alto Networks solutions. We hire smart, high energy people who take pride in delivering high quality technical support. You will be a highly motivated individual who works well within a collaborative team environment and communicates clearly with both colleagues and customers. A strong desire to continuously learn and develop your expertise - particularly within the Palo Alto Networks ecosystem - is essential. You must be able to demonstrate the skills and competencies required to deliver first class service and technical support within a managed services environment. Essential experience: Strong hands on experience with Palo Alto Networks technologies, including Next Generation Firewalls and the wider Palo Alto security platform. Proven experience managing and supporting network infrastructure, including switches, routers, and firewalls. Strong troubleshooting and problem solving skills across network and security environments. Experience with network monitoring tools using SNMP (e.g., Zabbix or similar platforms). Experience working within an ITIL based support environment and meeting defined SLAs. Excellent written and verbal communication skills, with the ability to clearly explain technical issues to customers and colleagues. Deep working knowledge of networking and network security principles. Certifications: Palo Alto Networks Certified Network Security Engineer (PCNSE) or equivalent Palo Alto certification (current). Additional Palo Alto certifications such as Next Generation Firewall Engineer or Security Service Edge Engineer are highly desirable. Desired experience: Experience supporting or managing Palo Alto Prisma Access or SASE solutions. Experience supporting or managing SD WAN environments, particularly within the Palo Alto ecosystem. Broader exposure to cloud delivered security and modern security architectures. Job Specifics This is a hybrid role, requiring attendance at our Basingstoke office (free hot & cold drinks, breakfast items, snacks, lunches, and regular takeaway Fridays are provided to all staff in the office!). Hours are full time: Monday Friday, 9:00am 5:30pm. Flexibility with hours is required in the event of a major incident. Why would you choose to come and work with us? You will get to work in a dynamic, fast paced environment where you are free to use your initiative in support of our strategic objectives. You will work alongside high calibre sales, technical, and operational experts as part of a supportive, tight knit team, within which every individual has an important part to play and makes a real difference. Nomios offers a highly competitive remuneration scheme along with industry leading benefits. Nomios is an equal opportunity employer and is committed to creating and sustaining an environment in which everyone is provided with an equal opportunity to grow and develop, and no individual will be unjustly discriminated against. This includes, but is not limited to, discrimination because of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion and belief, sex and sexual orientation.
Data Development Operations Team Manager Location: Remote Salary: £70,000 per annum Vacancy Type: Full Time Expiry date: 10 June, 2026 At Stonewater, data is at the heart of how we improve services, drive performance, and support our customers. We re transforming our data capability to build a modern, scalable, and insight-led organisation - and we re looking for a Data DevOps Manager to help lead that journey. This is a high-impact role where you ll shape how data platforms are built, deployed, and operated across the business, ensuring reliability, security, and performance at every step. As Data DevOps Manager, you ll lead a specialist team delivering data pipelines, platforms, and BI solutions within an Agile environment. You ll combine technical leadership with strategic thinking to ensure our data ecosystem is automated, efficient, and aligned to business needs. You ll work closely with Data Engineering, BI, IT, and business stakeholders to deliver high-quality, trusted data solutions that support everything from operational reporting to executive decision-making. What you ll be doing: Lead the development and operation of scalable data platforms and pipelines Drive DevOps best practice across data engineering and BI environments Implement Infrastructure as Code (IaC) for cloud-based data solutions Ensure high availability, performance, and resilience of data systems Deliver dashboards, reports, and analytics that enable business insight Embed strong data governance, quality, and security standards Monitor platform performance, cost, and reliability against agreed SLAs Manage stakeholders and external suppliers to deliver data initiatives Lead, coach, and develop a high-performing Data DevOps team What you ll bring: Technical expertise Strong experience in Azure data platforms (e.g. Synapse, Data Factory, Data Lake, SQL) Advanced SQL and experience managing enterprise data models Proven experience with Power BI, including data modelling and optimisation Expertise in data pipelines, automation, and DevOps practices (CI/CD, IaC) Strong understanding of data governance, data quality, and lifecycle management Leadership & delivery Experience leading technical teams in complex, multi-stakeholder environments Strong programme and delivery management capability Ability to balance priorities, manage risk, and deliver to deadlines Experience managing budgets, suppliers, and SLAs Communication & mindset Confident engaging technical and non-technical stakeholders Strong analytical and problem-solving skills Resilient, adaptable, and focused on continuous improvement A collaborative leader who brings teams together to deliver Appointment to this role will be subject to satisfactory references and possession of a valid Right to Work document. Discover Stonewater: Stonewater is a leading housing provider. We manage around 40,000 homes, serving 93,000 customers across our portfolio of affordable properties for general rent, shared ownership and sale, alongside specialist accommodation, with an ambitious house-building programme. Our mission is to provide quality homes and services for people whose needs are not met by the open market. We re looking for like-minded people to join our team of over 900 talented colleagues who embody our values of being ethical, ambitious, passionate, agile and commercial, as well as people who want to make a difference and transform people s lives. We are a Disability Confident Employer and working towards accreditation for becoming a Disability Confident Leader, which allows us to record and report on disability, mental health and wellbeing in the workplace to better support our colleagues. We have also achieved accreditation for being an Advanced Employer for Investing in Ethnicity Maturity Matrix. We are committed to being a Menopause Friendly employer and working towards accreditation our Menopause Friendly accreditation. Stonewater reserve the right to bring the closing date forward should enough quality applications be received prior to the current closing date. To Apply If you feel you are a suitable candidate and would like to work for Stonewater, please click apply to be redirected to our website to complete your application.
22/05/2026
Full time
Data Development Operations Team Manager Location: Remote Salary: £70,000 per annum Vacancy Type: Full Time Expiry date: 10 June, 2026 At Stonewater, data is at the heart of how we improve services, drive performance, and support our customers. We re transforming our data capability to build a modern, scalable, and insight-led organisation - and we re looking for a Data DevOps Manager to help lead that journey. This is a high-impact role where you ll shape how data platforms are built, deployed, and operated across the business, ensuring reliability, security, and performance at every step. As Data DevOps Manager, you ll lead a specialist team delivering data pipelines, platforms, and BI solutions within an Agile environment. You ll combine technical leadership with strategic thinking to ensure our data ecosystem is automated, efficient, and aligned to business needs. You ll work closely with Data Engineering, BI, IT, and business stakeholders to deliver high-quality, trusted data solutions that support everything from operational reporting to executive decision-making. What you ll be doing: Lead the development and operation of scalable data platforms and pipelines Drive DevOps best practice across data engineering and BI environments Implement Infrastructure as Code (IaC) for cloud-based data solutions Ensure high availability, performance, and resilience of data systems Deliver dashboards, reports, and analytics that enable business insight Embed strong data governance, quality, and security standards Monitor platform performance, cost, and reliability against agreed SLAs Manage stakeholders and external suppliers to deliver data initiatives Lead, coach, and develop a high-performing Data DevOps team What you ll bring: Technical expertise Strong experience in Azure data platforms (e.g. Synapse, Data Factory, Data Lake, SQL) Advanced SQL and experience managing enterprise data models Proven experience with Power BI, including data modelling and optimisation Expertise in data pipelines, automation, and DevOps practices (CI/CD, IaC) Strong understanding of data governance, data quality, and lifecycle management Leadership & delivery Experience leading technical teams in complex, multi-stakeholder environments Strong programme and delivery management capability Ability to balance priorities, manage risk, and deliver to deadlines Experience managing budgets, suppliers, and SLAs Communication & mindset Confident engaging technical and non-technical stakeholders Strong analytical and problem-solving skills Resilient, adaptable, and focused on continuous improvement A collaborative leader who brings teams together to deliver Appointment to this role will be subject to satisfactory references and possession of a valid Right to Work document. Discover Stonewater: Stonewater is a leading housing provider. We manage around 40,000 homes, serving 93,000 customers across our portfolio of affordable properties for general rent, shared ownership and sale, alongside specialist accommodation, with an ambitious house-building programme. Our mission is to provide quality homes and services for people whose needs are not met by the open market. We re looking for like-minded people to join our team of over 900 talented colleagues who embody our values of being ethical, ambitious, passionate, agile and commercial, as well as people who want to make a difference and transform people s lives. We are a Disability Confident Employer and working towards accreditation for becoming a Disability Confident Leader, which allows us to record and report on disability, mental health and wellbeing in the workplace to better support our colleagues. We have also achieved accreditation for being an Advanced Employer for Investing in Ethnicity Maturity Matrix. We are committed to being a Menopause Friendly employer and working towards accreditation our Menopause Friendly accreditation. Stonewater reserve the right to bring the closing date forward should enough quality applications be received prior to the current closing date. To Apply If you feel you are a suitable candidate and would like to work for Stonewater, please click apply to be redirected to our website to complete your application.
Senior Software Engineer - Core Services London About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The Role PhysicsX is building a platform that enables Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. Our platform serves multiple tenants across highly regulated industries, making robust identity, access control, and operational visibility foundational to everything we do. We're looking for a Senior Software Engineer to join our Core Services team, the team building the foundational primitives that gives our customers superpowers they've never had before. For decades, engineers have been trapped using siloed, rigid tools from the 90s. We're changing that by enabling secure, permissioned collaboration at the frontier of AI. You'll design and build the enterprise grade systems that make this possible. From fine-grained permissions to instrumentation, you'll create the primitives that every product across PhysicsX adopts, ensuring every user, service, and agentic workflow is securely identified, correctly scoped, and fully observable. You'll own the infrastructure that keeps our platform trustworthy, transparent, and ready for the future of manufacturing and engineering. What You Will Do Design and implement authentication and authorisation systems, including identity provider integrations, token management, session handling, and SSO flows. Architect and build fine granular role based and attribute based access control (RBAC/ABAC) models that scale across multi tenant environments. Own the platform's permissions layer end to end: from policy definition and enforcement through auditing and compliance reporting. Build and maintain telemetry infrastructure distributed tracing, structured logging, metrics collection, and alerting, to provide deep observability across services and environments. Define and enforce security standards across APIs and services, including schema governance, data segregation, and least privilege access patterns. Design and implement identity and access patterns for AI agents, including MCP authentication, agent impersonation flows, and system account models that allow agents to act securely on behalf of users in a regulated, multi tenant environment. Contribute to the design of multi service architectures, ensuring authentication and authorisation concerns are cleanly integrated and consistently enforced across both human and agentic workflows. Drive best practices in CI/CD, automated testing, observability, and infrastructure as code. Build and maintain deployment pipelines, including zero downtime and multi service deployments. Author and review Technical Decision Records. Participate in technology reviews to evaluate and adopt new tools and approaches. Mentor junior and mid level engineers, facilitate technical discussions, and build consensus around architectural decisions. What you bring to the table A passion for the craft, you're driven by engineering excellence and committed to fostering that culture across the team. Strong software engineering foundations, solid grasp of algorithms, data structures, and system design. You write clean, maintainable, testable code and have strong command of Golang and Python. Authentication and identity expertise, hands on experience building or integrating identity and access management systems (e.g., Keycloak, Auth0, Okta). Deep understanding of OAuth 2.0, OIDC, SAML, and token based authentication flows. Ability to effectively leverage cloud provider IAM systems (e.g., AWS IAM, GCP IAM, Azure AD). Authorisation and permissions design, proven experience implementing RBAC, ABAC, or policy as code frameworks (e.g., OPA/Rego, Cedar) in production multi tenant systems. Telemetry and observability, experience designing and operating metrics, tracing, and logging pipelines (e.g., OpenTelemetry, Prometheus, Grafana, Jaeger). You understand what it takes to make distributed systems genuinely observable. Kubernetes and GitOps, strong working knowledge of Kubernetes and ArgoCD, including deploying, managing, and troubleshooting services in production clusters. API and service design maturity, experience designing multi service systems with attention to schema governance, forward compatibility, and secure data access patterns. Proven ability to develop schema drift mitigation strategies with minimal impact to dependent clients (e.g., forward compatible schemas, ACLs, ambassador sidecars). Agent governance awareness, understanding of how identity and permissions extend to agentic systems, including MCP auth, impersonation, system accounts, and scoped token delegation. Security awareness, familiarity with threat modelling, secure coding practices, and participating in security testing and compliance workflows. CI/CD and deployment expertise, hands on experience building and optimising CI/CD pipelines, including multi service and zero downtime deployments across numerous customer environments. Communication and collaboration, excellent communication skills to work across teams, understand requirements from research scientists and product stakeholders, and translate them into technical specifications. AI native mindset, you follow the frontier of agentic systems and AI tooling. You naturally think about how infrastructure needs to evolve when agents, not just humans, are the consumers of your APIs and services. You actively use AI coding tools (e.g., Copilot, Cursor, Claude Code) in your daily workflow and see them as a force multiplier, not a novelty. Incremental mindset, you work in small steps toward larger goals, driving change through continuous improvement rather than massive redesigns. You can zoom in on details and zoom out to see the big picture. Ideally Polyglot programming, deep expertise in Python and Golang, with exposure to other languages such as Rust or C++. Advanced Kubernetes, ability to leverage resources that extend the Kubernetes API (e.g., CRDs, Operators) and infrastructure configuration tools (Crossplane, Helm charts). Infrastructure flexibility, understanding of what it takes to build software that runs in cloud, on premises, and air gapped environments. Advanced testing, experience with fuzzing, deterministic simulation testing, or fault injection in production systems. What we offer Equity options - share in our success and growth. 10% employer pension contribution - invest in your future. Free office lunches - great food to fuel your workdays. Flexible working - balance your work and life in a way that works for you. Hybrid setup - enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave - support for life's biggest milestones. Private healthcare - comprehensive coverage Personal development - access learning and training to help you grow. Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
22/05/2026
Full time
Senior Software Engineer - Core Services London About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The Role PhysicsX is building a platform that enables Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. Our platform serves multiple tenants across highly regulated industries, making robust identity, access control, and operational visibility foundational to everything we do. We're looking for a Senior Software Engineer to join our Core Services team, the team building the foundational primitives that gives our customers superpowers they've never had before. For decades, engineers have been trapped using siloed, rigid tools from the 90s. We're changing that by enabling secure, permissioned collaboration at the frontier of AI. You'll design and build the enterprise grade systems that make this possible. From fine-grained permissions to instrumentation, you'll create the primitives that every product across PhysicsX adopts, ensuring every user, service, and agentic workflow is securely identified, correctly scoped, and fully observable. You'll own the infrastructure that keeps our platform trustworthy, transparent, and ready for the future of manufacturing and engineering. What You Will Do Design and implement authentication and authorisation systems, including identity provider integrations, token management, session handling, and SSO flows. Architect and build fine granular role based and attribute based access control (RBAC/ABAC) models that scale across multi tenant environments. Own the platform's permissions layer end to end: from policy definition and enforcement through auditing and compliance reporting. Build and maintain telemetry infrastructure distributed tracing, structured logging, metrics collection, and alerting, to provide deep observability across services and environments. Define and enforce security standards across APIs and services, including schema governance, data segregation, and least privilege access patterns. Design and implement identity and access patterns for AI agents, including MCP authentication, agent impersonation flows, and system account models that allow agents to act securely on behalf of users in a regulated, multi tenant environment. Contribute to the design of multi service architectures, ensuring authentication and authorisation concerns are cleanly integrated and consistently enforced across both human and agentic workflows. Drive best practices in CI/CD, automated testing, observability, and infrastructure as code. Build and maintain deployment pipelines, including zero downtime and multi service deployments. Author and review Technical Decision Records. Participate in technology reviews to evaluate and adopt new tools and approaches. Mentor junior and mid level engineers, facilitate technical discussions, and build consensus around architectural decisions. What you bring to the table A passion for the craft, you're driven by engineering excellence and committed to fostering that culture across the team. Strong software engineering foundations, solid grasp of algorithms, data structures, and system design. You write clean, maintainable, testable code and have strong command of Golang and Python. Authentication and identity expertise, hands on experience building or integrating identity and access management systems (e.g., Keycloak, Auth0, Okta). Deep understanding of OAuth 2.0, OIDC, SAML, and token based authentication flows. Ability to effectively leverage cloud provider IAM systems (e.g., AWS IAM, GCP IAM, Azure AD). Authorisation and permissions design, proven experience implementing RBAC, ABAC, or policy as code frameworks (e.g., OPA/Rego, Cedar) in production multi tenant systems. Telemetry and observability, experience designing and operating metrics, tracing, and logging pipelines (e.g., OpenTelemetry, Prometheus, Grafana, Jaeger). You understand what it takes to make distributed systems genuinely observable. Kubernetes and GitOps, strong working knowledge of Kubernetes and ArgoCD, including deploying, managing, and troubleshooting services in production clusters. API and service design maturity, experience designing multi service systems with attention to schema governance, forward compatibility, and secure data access patterns. Proven ability to develop schema drift mitigation strategies with minimal impact to dependent clients (e.g., forward compatible schemas, ACLs, ambassador sidecars). Agent governance awareness, understanding of how identity and permissions extend to agentic systems, including MCP auth, impersonation, system accounts, and scoped token delegation. Security awareness, familiarity with threat modelling, secure coding practices, and participating in security testing and compliance workflows. CI/CD and deployment expertise, hands on experience building and optimising CI/CD pipelines, including multi service and zero downtime deployments across numerous customer environments. Communication and collaboration, excellent communication skills to work across teams, understand requirements from research scientists and product stakeholders, and translate them into technical specifications. AI native mindset, you follow the frontier of agentic systems and AI tooling. You naturally think about how infrastructure needs to evolve when agents, not just humans, are the consumers of your APIs and services. You actively use AI coding tools (e.g., Copilot, Cursor, Claude Code) in your daily workflow and see them as a force multiplier, not a novelty. Incremental mindset, you work in small steps toward larger goals, driving change through continuous improvement rather than massive redesigns. You can zoom in on details and zoom out to see the big picture. Ideally Polyglot programming, deep expertise in Python and Golang, with exposure to other languages such as Rust or C++. Advanced Kubernetes, ability to leverage resources that extend the Kubernetes API (e.g., CRDs, Operators) and infrastructure configuration tools (Crossplane, Helm charts). Infrastructure flexibility, understanding of what it takes to build software that runs in cloud, on premises, and air gapped environments. Advanced testing, experience with fuzzing, deterministic simulation testing, or fault injection in production systems. What we offer Equity options - share in our success and growth. 10% employer pension contribution - invest in your future. Free office lunches - great food to fuel your workdays. Flexible working - balance your work and life in a way that works for you. Hybrid setup - enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave - support for life's biggest milestones. Private healthcare - comprehensive coverage Personal development - access learning and training to help you grow. Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
SAS Technical Architect (Minerva - RIO & AI) - MUST HAVE HMRC SC CLEARANCE - Telford and remote - 6 months+/RATE: £656 per day inside IR35 One of our Blue Chip Clients is urgently looking for a SAS Technical Architect. For this role you will need to be onsite in Telford 2 days per week. Please find some details below: Clearance Required: Current HMRC SC Job Description: We are seeking an experienced SAS Technical Architect to lead the design and delivery of enterprise-scale analytics solutions using the SAS toolset, with a strong focus on SAS Viya 4 architecture. The role will be responsible for defining end-to-end technical architecture, supporting migration from Legacy SAS platforms, and ensuring alignment with enterprise cloud and data strategies. This role is critical to supporting large-scale transformation programmes involving migration of SAS 9.4/Viya 3.5 estates to Viya 4 platforms. Key Responsibilities Architecture & Design Define and own the end-to-end SAS architecture, ensuring alignment with programme and enterprise strategy. Design scalable, secure, and high-performing SAS Viya 4 solutions across cloud environments (AWS/Azure). Lead architecture reviews, governance gates, and design approvals. SAS Viya 4 Platform Architect and implement SAS Viya 4 environments, including: o CAS (Cloud Analytic Services) o SAS Studio, Visual Analytics, and Model Studio Define deployment patterns using containerised environments (Kubernetes) for Viya 4. Ensure alignment with platform strategies (eg DPS/Minerva). Migration & Transformation Lead migration of SAS 9.4/Viya 3.5 workloads to Viya 4, including: o Data integration flows o Analytical models and reporting o Configuration and scheduling Define migration approach covering: o Code migration and refactoring o Data validation and reconciliation o Performance optimisation Support transformation of Legacy solutions to modern, cloud-native patterns. Technical Leadership Provide technical leadership to data engineers, developers, and testers. Support design for: o CI/CD integration o DevOps practices o Automation and deployment pipelines Collaborate with architects, engineering teams, and SMEs across suppliers. Governance & Stakeholder Management Present solutions to senior stakeholders (client and internal). Ensure compliance with: o Security and data governance standards o Cloud architecture principles Support commercial and delivery teams with estimation and solutioning. Key Skills & Experience Essential Strong experience in SAS architecture and technical design Proven delivery experience with SAS Viya 4 platforms Deep knowledge of SAS toolset, including: o SAS DI/Data Integration o SAS Visual Analytics o SAS Studio/Enterprise Guide Experience designing cloud-based SAS solutions (AWS/Azure) Experience with Kubernetes/containerised deployments for Viya 4 Experience delivering large-scale migration programmes Desirable Knowledge of CI/CD pipelines and DevOps practices Experience integrating SAS with: o Airflow or alternative schedulers o Data platforms (eg Snowflake, Databricks) Understanding of data security and access models Experience in public sector/regulated environments (eg HMRC) Qualifications Degree in Computer Science, Engineering, or related discipline (or equivalent experience) SAS certifications (Viya/Advanced Analytics) preferred Key Behaviours Strong stakeholder engagement and influencing skills Ability to operate at both strategic architecture level and hands-on design Analytical mindset with a focus on quality and delivery Collaborative approach across multi-supplier environments Typical Deliverables Architecture design documents (HLD/LLD) SAS Viya 4 deployment and configuration designs Migration strategies and runbooks Governance artefacts and technical assurance inputs Reporting Line Typically reports to Programme/Delivery Architect or Engagement Manager Works closely with: o Technical Architects o Data Engineers o Platform/Cloud teams o Client architecture teams Please send CV for full details and immediate interviews. We are a preferred supplier to the client.
22/05/2026
Contractor
SAS Technical Architect (Minerva - RIO & AI) - MUST HAVE HMRC SC CLEARANCE - Telford and remote - 6 months+/RATE: £656 per day inside IR35 One of our Blue Chip Clients is urgently looking for a SAS Technical Architect. For this role you will need to be onsite in Telford 2 days per week. Please find some details below: Clearance Required: Current HMRC SC Job Description: We are seeking an experienced SAS Technical Architect to lead the design and delivery of enterprise-scale analytics solutions using the SAS toolset, with a strong focus on SAS Viya 4 architecture. The role will be responsible for defining end-to-end technical architecture, supporting migration from Legacy SAS platforms, and ensuring alignment with enterprise cloud and data strategies. This role is critical to supporting large-scale transformation programmes involving migration of SAS 9.4/Viya 3.5 estates to Viya 4 platforms. Key Responsibilities Architecture & Design Define and own the end-to-end SAS architecture, ensuring alignment with programme and enterprise strategy. Design scalable, secure, and high-performing SAS Viya 4 solutions across cloud environments (AWS/Azure). Lead architecture reviews, governance gates, and design approvals. SAS Viya 4 Platform Architect and implement SAS Viya 4 environments, including: o CAS (Cloud Analytic Services) o SAS Studio, Visual Analytics, and Model Studio Define deployment patterns using containerised environments (Kubernetes) for Viya 4. Ensure alignment with platform strategies (eg DPS/Minerva). Migration & Transformation Lead migration of SAS 9.4/Viya 3.5 workloads to Viya 4, including: o Data integration flows o Analytical models and reporting o Configuration and scheduling Define migration approach covering: o Code migration and refactoring o Data validation and reconciliation o Performance optimisation Support transformation of Legacy solutions to modern, cloud-native patterns. Technical Leadership Provide technical leadership to data engineers, developers, and testers. Support design for: o CI/CD integration o DevOps practices o Automation and deployment pipelines Collaborate with architects, engineering teams, and SMEs across suppliers. Governance & Stakeholder Management Present solutions to senior stakeholders (client and internal). Ensure compliance with: o Security and data governance standards o Cloud architecture principles Support commercial and delivery teams with estimation and solutioning. Key Skills & Experience Essential Strong experience in SAS architecture and technical design Proven delivery experience with SAS Viya 4 platforms Deep knowledge of SAS toolset, including: o SAS DI/Data Integration o SAS Visual Analytics o SAS Studio/Enterprise Guide Experience designing cloud-based SAS solutions (AWS/Azure) Experience with Kubernetes/containerised deployments for Viya 4 Experience delivering large-scale migration programmes Desirable Knowledge of CI/CD pipelines and DevOps practices Experience integrating SAS with: o Airflow or alternative schedulers o Data platforms (eg Snowflake, Databricks) Understanding of data security and access models Experience in public sector/regulated environments (eg HMRC) Qualifications Degree in Computer Science, Engineering, or related discipline (or equivalent experience) SAS certifications (Viya/Advanced Analytics) preferred Key Behaviours Strong stakeholder engagement and influencing skills Ability to operate at both strategic architecture level and hands-on design Analytical mindset with a focus on quality and delivery Collaborative approach across multi-supplier environments Typical Deliverables Architecture design documents (HLD/LLD) SAS Viya 4 deployment and configuration designs Migration strategies and runbooks Governance artefacts and technical assurance inputs Reporting Line Typically reports to Programme/Delivery Architect or Engagement Manager Works closely with: o Technical Architects o Data Engineers o Platform/Cloud teams o Client architecture teams Please send CV for full details and immediate interviews. We are a preferred supplier to the client.
Join a leading independent technology and services provider as an IT Specialist. Job Overview: Role: IT Specialist Location: Hybrid work - remote sometimes visit customer sites in Croydon or Manchester Contract: 1st June'26 - 1st Dec'26 Mandatory check: SC Clearance Pay Rates: £485/day (via a Hays approved umbrella company). Time: 9:00 AM - 5:30 PM Key Responsibilities: Have strong experience of deploying, configuring, and managing the Dynatrace, Grafana or Splunk platforms to monitor applications, services, servers, networks, and cloud resources. Be proficient in collecting, processing, and analysing various telemetry signals (metrics, logs, traces, events) Ability to analyse telemetry data to identify performance bottlenecks, availability risks, and system anomalies Ability to integrate Dynatrace, Grafana or Splunk with ITSM tools (such as ServiceNow) and CI/CD pipelines for proactive monitoring Have good problem-solving abilities with a systematic approach to diagnosing complex technical issues Strong analytical skills to interpret data, identify patterns, and draw actionable conclusions Be involved in investigating incident response activities and postmortem analyses using Dynatrace, Grafana or provide insights. Has the ability to troubleshoot and resolve data quality issues on time, ensuring data integrity and reliability Have experience of scripting tools such as Python, PowerShell and CI/CD tools for automation Have good experience of using Cloud solutions such as Azure & AWS and containerized environments (Kubernetes, OpenShift) to implement cloud-native monitoring Have good knowledge of ITSM/incident management tools integration. Interacts with and influences colleagues and has working level contact with customers Applies methodical approach to issue definition and resolution Demonstrates effective application of knowledge Takes action to develop their own knowledge and represents this in their work Communicates fluently, orally and in writing, and can present information to both technical and non-technical audiences. Accreditations: Dynatrace Associate & Pro Certifications Microsoft Certified: Security Operations Analyst Associate Splunk Core Certified Power User Desirable Skills: Cloud platforms experience Experience in a DevOps or Site Reliability Engineering role Container native technologies and ecosystem experience The ability to learn new technologies and adapt to changing business needs. Automation and DevOps practices Knowledge of tools like Terraform to automate infrastructure provisioning Building continuous integration and continuous deployment (CI/CD) pipelines for data engineering applications Using Docker and Kubernetes for packaging and deploying data engineering workloads Key Requirements: Candidates must be SC cleared How to Apply: If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Talent Solutions is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
22/05/2026
Contractor
Join a leading independent technology and services provider as an IT Specialist. Job Overview: Role: IT Specialist Location: Hybrid work - remote sometimes visit customer sites in Croydon or Manchester Contract: 1st June'26 - 1st Dec'26 Mandatory check: SC Clearance Pay Rates: £485/day (via a Hays approved umbrella company). Time: 9:00 AM - 5:30 PM Key Responsibilities: Have strong experience of deploying, configuring, and managing the Dynatrace, Grafana or Splunk platforms to monitor applications, services, servers, networks, and cloud resources. Be proficient in collecting, processing, and analysing various telemetry signals (metrics, logs, traces, events) Ability to analyse telemetry data to identify performance bottlenecks, availability risks, and system anomalies Ability to integrate Dynatrace, Grafana or Splunk with ITSM tools (such as ServiceNow) and CI/CD pipelines for proactive monitoring Have good problem-solving abilities with a systematic approach to diagnosing complex technical issues Strong analytical skills to interpret data, identify patterns, and draw actionable conclusions Be involved in investigating incident response activities and postmortem analyses using Dynatrace, Grafana or provide insights. Has the ability to troubleshoot and resolve data quality issues on time, ensuring data integrity and reliability Have experience of scripting tools such as Python, PowerShell and CI/CD tools for automation Have good experience of using Cloud solutions such as Azure & AWS and containerized environments (Kubernetes, OpenShift) to implement cloud-native monitoring Have good knowledge of ITSM/incident management tools integration. Interacts with and influences colleagues and has working level contact with customers Applies methodical approach to issue definition and resolution Demonstrates effective application of knowledge Takes action to develop their own knowledge and represents this in their work Communicates fluently, orally and in writing, and can present information to both technical and non-technical audiences. Accreditations: Dynatrace Associate & Pro Certifications Microsoft Certified: Security Operations Analyst Associate Splunk Core Certified Power User Desirable Skills: Cloud platforms experience Experience in a DevOps or Site Reliability Engineering role Container native technologies and ecosystem experience The ability to learn new technologies and adapt to changing business needs. Automation and DevOps practices Knowledge of tools like Terraform to automate infrastructure provisioning Building continuous integration and continuous deployment (CI/CD) pipelines for data engineering applications Using Docker and Kubernetes for packaging and deploying data engineering workloads Key Requirements: Candidates must be SC cleared How to Apply: If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Talent Solutions is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Position: DevOps Engineer (AWS/Kubernetes Focus) Location: Remote/1 day per week onsite (tech hubs) Duration: 6 months (initial contract) Rate: £500 per day (Inside IR35, umbrella) Security Clearance: Active SC Clearance or SC Eligible IR35 Status: Inside IR35 Start Date: ASAP Role Overview Senior DevOps Engineer to support and operate Kubernetes platforms (EKS preferred) within AWS environments. Focus on IaC, CI/CD automation, and troubleshooting for agile delivery in public sector projects. Key Responsibilities Operate and support Kubernetes clusters, with strong EKS experience. Manage AWS core services and implement cloud security fundamentals. Deliver infrastructure using Terraform; automate with Ansible. Build and maintain GitLab CI/CD pipelines and deployment strategies. Handle Linux/Unix ops, Docker/container management, and Scripting. Implement monitoring with CloudWatch, Prometheus, Grafana. Troubleshoot cloud, networking, and pipeline issues. Essential Skills & Experience Kubernetes: Strong ops/support, EKS preferred. AWS: Hands-on core services + security fundamentals. Terraform: Strong IaC delivery expertise. Ansible: Very good for config mgmt and workflows. GitLab/CI-CD: Strong pipeline building in Agile. Linux/Docker: Solid skills, Scripting, registry mgmt. Monitoring: CloudWatch/Prometheus/Grafana exp. Troubleshooting: Cloud infra, networking, pipelines. Desirable Public sector delivery experience. Agile/Scrum methodology exposure. If you are available and interested in this opportunity, please apply for further information. Please note due to high volumes of applications we are unable to contact every application. If you do not hear back from us within 7 days of sending your application, please assume that you have not been successful on this occasion. At Lucid, we celebrate difference and value diverse perspectives, underpinned by our values 'Honesty, Integrity and Pragmatism'. We are proud to provide equal opportunities in line with our Diversity and Inclusion policy and welcome applications from all suitably qualified or experienced people, regardless of personal characteristics. If you have a disability or health condition and seek support throughout the recruitment process, please do not hesitate to contact us via the details below.
22/05/2026
Contractor
Position: DevOps Engineer (AWS/Kubernetes Focus) Location: Remote/1 day per week onsite (tech hubs) Duration: 6 months (initial contract) Rate: £500 per day (Inside IR35, umbrella) Security Clearance: Active SC Clearance or SC Eligible IR35 Status: Inside IR35 Start Date: ASAP Role Overview Senior DevOps Engineer to support and operate Kubernetes platforms (EKS preferred) within AWS environments. Focus on IaC, CI/CD automation, and troubleshooting for agile delivery in public sector projects. Key Responsibilities Operate and support Kubernetes clusters, with strong EKS experience. Manage AWS core services and implement cloud security fundamentals. Deliver infrastructure using Terraform; automate with Ansible. Build and maintain GitLab CI/CD pipelines and deployment strategies. Handle Linux/Unix ops, Docker/container management, and Scripting. Implement monitoring with CloudWatch, Prometheus, Grafana. Troubleshoot cloud, networking, and pipeline issues. Essential Skills & Experience Kubernetes: Strong ops/support, EKS preferred. AWS: Hands-on core services + security fundamentals. Terraform: Strong IaC delivery expertise. Ansible: Very good for config mgmt and workflows. GitLab/CI-CD: Strong pipeline building in Agile. Linux/Docker: Solid skills, Scripting, registry mgmt. Monitoring: CloudWatch/Prometheus/Grafana exp. Troubleshooting: Cloud infra, networking, pipelines. Desirable Public sector delivery experience. Agile/Scrum methodology exposure. If you are available and interested in this opportunity, please apply for further information. Please note due to high volumes of applications we are unable to contact every application. If you do not hear back from us within 7 days of sending your application, please assume that you have not been successful on this occasion. At Lucid, we celebrate difference and value diverse perspectives, underpinned by our values 'Honesty, Integrity and Pragmatism'. We are proud to provide equal opportunities in line with our Diversity and Inclusion policy and welcome applications from all suitably qualified or experienced people, regardless of personal characteristics. If you have a disability or health condition and seek support throughout the recruitment process, please do not hesitate to contact us via the details below.
Apache Spark Python AWS Cloud Data Pipelines A hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong analytical and engineering skills to deliver trusted, well-governed data assets in a modern, cloud-native environment. About Scrumconnect Scrumconnect is a leading UK technology consultancy delivering digital transformation across public and private sectors, contributing to over 20% of the UK's major citizen-facing public services. We specialise in cloud engineering, data platforms, and agile delivery, helping clients build scalable, secure, and user-centred digital solutions that create real impact. Active SC clearance is a mandatory, non-negotiable requirement. Candidates must hold current, in-date Security Check (SC) clearance at the time of application. Sponsorship is not available. Applications without active SC clearance will not be considered. Working arrangement: This role is hybrid. Candidates must be willing and able to travel to the London office three days per week. Remaining days may be worked remotely from anywhere in the UK. About the role You will work as a Data Engineer on a complex, cloud-based data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics, you will help deliver reliable, well-governed data assets to downstream users. You will apply strong data analysis skills to identify root causes of data issues, work with dimensional data models and slowly changing dimensions, and implement infrastructure as code using Terraform. Familiarity with DWP engineering best practices and the ability to translate customer expectations into applied technical functionality are key to success in this role. Key responsibilities Data pipeline development Build and maintain scalable data pipelines using Apache Spark and PySpark, processing and transforming large datasets across distributed cloud infrastructure. Workflow orchestration Configure and manage Apache Airflow DAGs for task orchestration, ensuring reliable scheduling, monitoring, and execution of data processing workflows. Root cause analysis Perform data analysis to identify and resolve root causes of pipeline failures and data quality issues - including reviewing EMR output logs and CloudWatch metrics. Data modelling Apply understanding of dimensional data models and slowly changing dimensions (SCD) to design and maintain well-structured, analytically trusted data assets. Infrastructure as code Provision and manage cloud infrastructure using Terraform. Containerise solutions using Docker and manage deployments through GitLab CI/CD pipelines and release tagging. Security & encryption Apply understanding of both Server Side and client-side encryption patterns within AWS. Work within IAM policies and data governance standards appropriate to a regulated government environment. Technical skills required Languages & analytics Python - primary language for pipeline development and data processing SQL - used for querying, transformation, and validation across data stores PySpark - for distributed data processing using Apache Spark on AWS EMR Familiarity with basic data structures for constructing robust, scalable solutions Data processing & orchestration Apache Spark - understanding of distributed data processing architecture and execution Apache Airflow - configuring DAGs and managing task orchestration at scale Jupyter Notebooks - for exploratory data analysis and pipeline prototyping Understanding of dimensional data models and slowly changing dimensions (SCD Types 1, 2, 3) Data analysis skills to identify root cause of issues within pipelines and data assets AWS services Amazon EMR - running Spark workloads and reviewing output logs Amazon Athena - ad hoc querying of data in S3 Amazon Textract and Comprehend - familiarity with AI/ML document extraction and NLP services AWS S3, IAM, CloudWatch, EC2, ECR - core platform services used day-to-day AWS console proficiency - navigating, configuring, and monitoring services Understanding of Server Side and client-side encryption within AWS Infrastructure, DevOps & delivery Terraform - Infrastructure as Code for provisioning and managing AWS environments Docker - containerisation of data engineering solutions GitLab - source code management, CI/CD pipeline configuration, release tagging, and component versioning Familiarity with DWP engineering best practices Ability to translate customer expectations into applied, functional technical solutions Technology stack at a glance PythonPySparkSQLApache SparkApache AirflowJupyter NotebooksDimensional modelling/SCDAWS EMRAmazon AthenaAWS S3AWS IAMAWS CloudWatchAWS EC2/ECRAmazon TextractAmazon ComprehendTerraformDockerGitLab CI/CDGitLab Tags
22/05/2026
Full time
Apache Spark Python AWS Cloud Data Pipelines A hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong analytical and engineering skills to deliver trusted, well-governed data assets in a modern, cloud-native environment. About Scrumconnect Scrumconnect is a leading UK technology consultancy delivering digital transformation across public and private sectors, contributing to over 20% of the UK's major citizen-facing public services. We specialise in cloud engineering, data platforms, and agile delivery, helping clients build scalable, secure, and user-centred digital solutions that create real impact. Active SC clearance is a mandatory, non-negotiable requirement. Candidates must hold current, in-date Security Check (SC) clearance at the time of application. Sponsorship is not available. Applications without active SC clearance will not be considered. Working arrangement: This role is hybrid. Candidates must be willing and able to travel to the London office three days per week. Remaining days may be worked remotely from anywhere in the UK. About the role You will work as a Data Engineer on a complex, cloud-based data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics, you will help deliver reliable, well-governed data assets to downstream users. You will apply strong data analysis skills to identify root causes of data issues, work with dimensional data models and slowly changing dimensions, and implement infrastructure as code using Terraform. Familiarity with DWP engineering best practices and the ability to translate customer expectations into applied technical functionality are key to success in this role. Key responsibilities Data pipeline development Build and maintain scalable data pipelines using Apache Spark and PySpark, processing and transforming large datasets across distributed cloud infrastructure. Workflow orchestration Configure and manage Apache Airflow DAGs for task orchestration, ensuring reliable scheduling, monitoring, and execution of data processing workflows. Root cause analysis Perform data analysis to identify and resolve root causes of pipeline failures and data quality issues - including reviewing EMR output logs and CloudWatch metrics. Data modelling Apply understanding of dimensional data models and slowly changing dimensions (SCD) to design and maintain well-structured, analytically trusted data assets. Infrastructure as code Provision and manage cloud infrastructure using Terraform. Containerise solutions using Docker and manage deployments through GitLab CI/CD pipelines and release tagging. Security & encryption Apply understanding of both Server Side and client-side encryption patterns within AWS. Work within IAM policies and data governance standards appropriate to a regulated government environment. Technical skills required Languages & analytics Python - primary language for pipeline development and data processing SQL - used for querying, transformation, and validation across data stores PySpark - for distributed data processing using Apache Spark on AWS EMR Familiarity with basic data structures for constructing robust, scalable solutions Data processing & orchestration Apache Spark - understanding of distributed data processing architecture and execution Apache Airflow - configuring DAGs and managing task orchestration at scale Jupyter Notebooks - for exploratory data analysis and pipeline prototyping Understanding of dimensional data models and slowly changing dimensions (SCD Types 1, 2, 3) Data analysis skills to identify root cause of issues within pipelines and data assets AWS services Amazon EMR - running Spark workloads and reviewing output logs Amazon Athena - ad hoc querying of data in S3 Amazon Textract and Comprehend - familiarity with AI/ML document extraction and NLP services AWS S3, IAM, CloudWatch, EC2, ECR - core platform services used day-to-day AWS console proficiency - navigating, configuring, and monitoring services Understanding of Server Side and client-side encryption within AWS Infrastructure, DevOps & delivery Terraform - Infrastructure as Code for provisioning and managing AWS environments Docker - containerisation of data engineering solutions GitLab - source code management, CI/CD pipeline configuration, release tagging, and component versioning Familiarity with DWP engineering best practices Ability to translate customer expectations into applied, functional technical solutions Technology stack at a glance PythonPySparkSQLApache SparkApache AirflowJupyter NotebooksDimensional modelling/SCDAWS EMRAmazon AthenaAWS S3AWS IAMAWS CloudWatchAWS EC2/ECRAmazon TextractAmazon ComprehendTerraformDockerGitLab CI/CDGitLab Tags
IT Support Technician £28-32k plus competitive benefits Must have full clean licence Liverpool (with North West sites visits) Full-Time, Permanent-9am-5.30pm Why This Company A family-owned outsourced IT provider with over 25 years of stability, trust, and long-standing customer relationships. Their clients rely on them as an extension of their business not just a support line. They keep their teams running, productive, and secure every single day. Most of their customers are local, many of whom they have supported for over two decades, and they see them as part of their organisation. They treat them the same way. The team is friendly, and highly experienced. They value teamwork, loyalty, and personal development. When you join them, you're not just filling a ticket queue you're becoming part of a close-knit group where your ideas matter, your growth matters, and your work makes a real impact. If you're looking for a place with genuine job security, real variety, and a supportive environment where you can keep growing, this is it. What You'll Be Doing This is a varied role supporting users across many different businesses. Around 60 percent of your work will be onsite and office-based in Liverpool, and the rest will involve on-site visits. You'll work alongside our experienced network engineers, helping to keep customers' systems running smoothly and securely: Daily Responsibilities Provide 1st and 2nd line IT support via phone, remote access, and 3rd line support with site visits Troubleshoot hardware, software, and network issues Dealing with live tickets across laptops, printers, Microsoft 365 & VPNS Manage user accounts, permissions, and security within Microsoft 365 Support customers with general IT queries and problem-solving Maintain accurate documentation for all client environments Project Work You'll Be Involved In Setting up and configuring laptops, desktops, and other hardware Installing routers, switches, firewalls, and wireless systems Network installations Assisting with office moves, server upgrades, and wider infrastructure projects This role gives you experience across all areas of IT security, infrastructure, installations, cloud, and networking, What We're Looking For Previous 1st/2nd & 3rd line support experience, ideally within an MSP Good knowledge of Microsoft 365, Windows Server, core networking (DNS, DHCP VPN) A confident communicator who enjoys helping people Someone organised, proactive, and clam under pressure Full UK driving licence (essential) Most importantly, we're looking for someone who wants to be part of a supportive team, not just a number. What You'll Get from Us Long-term job security with a stable 25+ year business A friendly, knowledgeable team who will help you develop A team culture built on trust, respect, and collaboration A place where you genuinely matter and your work is appreciated Competitive salary plus private medical insurance Progression and support to grow Sound Like a Good Fit? If you want to join a supportive, experienced IT team where you'll grow your skills and help keep customers' businesses running, we'd love to hear from you. A note from us We get so many applications that in some instances we are unable to offer individual feedback. If your application is successful, you will be contacted within 5 working days. If you want to call us for a confidential chat about any other vacancies or some guidance, we are happy to help.
22/05/2026
Full time
IT Support Technician £28-32k plus competitive benefits Must have full clean licence Liverpool (with North West sites visits) Full-Time, Permanent-9am-5.30pm Why This Company A family-owned outsourced IT provider with over 25 years of stability, trust, and long-standing customer relationships. Their clients rely on them as an extension of their business not just a support line. They keep their teams running, productive, and secure every single day. Most of their customers are local, many of whom they have supported for over two decades, and they see them as part of their organisation. They treat them the same way. The team is friendly, and highly experienced. They value teamwork, loyalty, and personal development. When you join them, you're not just filling a ticket queue you're becoming part of a close-knit group where your ideas matter, your growth matters, and your work makes a real impact. If you're looking for a place with genuine job security, real variety, and a supportive environment where you can keep growing, this is it. What You'll Be Doing This is a varied role supporting users across many different businesses. Around 60 percent of your work will be onsite and office-based in Liverpool, and the rest will involve on-site visits. You'll work alongside our experienced network engineers, helping to keep customers' systems running smoothly and securely: Daily Responsibilities Provide 1st and 2nd line IT support via phone, remote access, and 3rd line support with site visits Troubleshoot hardware, software, and network issues Dealing with live tickets across laptops, printers, Microsoft 365 & VPNS Manage user accounts, permissions, and security within Microsoft 365 Support customers with general IT queries and problem-solving Maintain accurate documentation for all client environments Project Work You'll Be Involved In Setting up and configuring laptops, desktops, and other hardware Installing routers, switches, firewalls, and wireless systems Network installations Assisting with office moves, server upgrades, and wider infrastructure projects This role gives you experience across all areas of IT security, infrastructure, installations, cloud, and networking, What We're Looking For Previous 1st/2nd & 3rd line support experience, ideally within an MSP Good knowledge of Microsoft 365, Windows Server, core networking (DNS, DHCP VPN) A confident communicator who enjoys helping people Someone organised, proactive, and clam under pressure Full UK driving licence (essential) Most importantly, we're looking for someone who wants to be part of a supportive team, not just a number. What You'll Get from Us Long-term job security with a stable 25+ year business A friendly, knowledgeable team who will help you develop A team culture built on trust, respect, and collaboration A place where you genuinely matter and your work is appreciated Competitive salary plus private medical insurance Progression and support to grow Sound Like a Good Fit? If you want to join a supportive, experienced IT team where you'll grow your skills and help keep customers' businesses running, we'd love to hear from you. A note from us We get so many applications that in some instances we are unable to offer individual feedback. If your application is successful, you will be contacted within 5 working days. If you want to call us for a confidential chat about any other vacancies or some guidance, we are happy to help.
Job Description About Scrumconnect Scrumconnect Consulting is a UK-based digital transformation consultancy delivering agile, secure, and scalable technology solutions for public and private sector clients. This is a fully remote role based in India, supporting UK operations and client engagements. The successful candidate will work closely with UK leadership teams and must be comfortable operating within UK regulatory, governance, and delivery frameworks. About the Role We are looking for an experienced Test Manager to lead quality assurance and testing activities within a large-scale cloud data engineering programme operating across a modern AWS-native technology ecosystem, including Apache Airflow, Amazon Athena, AWS Glue, S3, EMR, DynamoDB, and related cloud services. This role combines hands-on technical leadership with test strategy ownership . You will be responsible for defining and driving the overall testing approach across automated pipelines, data workflows, cloud infrastructure, and release delivery while managing risks, improving testing standards, and mentoring engineering teams. The ideal candidate will have strong experience in Big Data and Data Lake environments , including testing both structured and unstructured datasets, and will be comfortable operating in highly automated CI/CD-driven delivery environments. You will work closely with engineering, DevOps, architecture, and stakeholder teams to ensure quality is Embedded throughout the software delivery life cycle. Key Responsibilities Test Strategy & Leadership Define, implement, and manage the overall test strategy across cloud-native data platforms and applications Lead end-to-end testing activities across data pipelines, cloud services, APIs, and distributed systems Establish quality standards, governance processes, and testing best practices across teams Drive a quality-first engineering culture across the programme Provide leadership, mentoring, and coaching to Test Engineers and QA team members Automated Testing & Frameworks Design, implement, and oversee scalable automated test frameworks for data and application testing Build and maintain automated test suites across AWS cloud infrastructure and data workflows Enhance existing automation frameworks to improve reliability, coverage, maintainability, and reporting Ensure automated testing is fully integrated within GitLab CI/CD pipelines for rapid feedback and release confidence Big Data & Data Lake Testing Lead testing activities across Big Data and Data Lake solutions containing structured and unstructured datasets Validate large-scale data ingestion, transformation, and processing workflows Ensure data integrity, transformation accuracy, reconciliation, and performance under load Oversee PySpark-based data validation and interrogation activities on AWS EMR Support testing and monitoring of workflows orchestrated through Apache Airflow Drive root cause analysis for production data issues and platform defects Risk Management & Reporting Identify, assess, and communicate quality risks across releases and environments Analyse test execution metrics, defects, trends, and quality indicators Translate technical findings into clear, prioritised reporting for technical and non-technical stakeholders Provide regular status reporting to programme leadership and client stakeholders CI/CD & DevOps Collaborate with DevOps and engineering teams to improve release quality and deployment confidence Ensure automated test execution within GitLab CI/CD pipelines Support infrastructure testing and validation within Terraform-managed cloud environments Contribute to continuous improvement initiatives across testing and delivery processes Technology Stack Apache Airflow, Amazon Athena, AWS S3, AWS Glue, AWS EMR, AWS EC2, AWS ECR, AWS DynamoDB, AWS CloudWatch, AWS IAM, Python, SQL, Java, Bash, GitLab CI/CD, Jupyter Notebooks, Apache Spark/PySpark, Terraform, Docker Key Skills Strong proficiency in Python, SQL, Java, and Scripting languages such as Bash Hands-on experience testing Big Data platforms and Data Lake solutions Strong experience with AWS EMR, Apache Airflow, and Jupyter Notebooks Experience performing PySpark-based data interrogation, validation, and testing Strong knowledge of AWS services including S3, Glue, Athena, EMR, CloudWatch, IAM, DynamoDB, EC2, and ECR Experience designing, implementing, and managing enterprise-scale automated test frameworks Strong understanding of CI/CD practices using GitLab pipelines Experience with infrastructure-as-code tools such as Terraform Familiarity with Docker and containerised testing environments Understanding of dimensional data models and slowly changing dimensions Experience validating structured and unstructured data workflows Strong analytical and root cause analysis skills Ability to communicate technical risks clearly to stakeholders at all levels Experience leading and mentoring QA/Test Engineering teams Skills & Experience Required Proven experience as a Test Manager , Lead Test Engineer, or QA Lead within cloud and data engineering environments Strong background in automated testing for cloud-native and data-centric platforms Experience testing large-scale data pipelines, transformation processes, and distributed systems Experience managing or leading QA/testing teams in Agile delivery environments Strong stakeholder management and communication skills Experience establishing test governance, reporting, and quality metrics Strong problem-solving and decision-making capability Experience working within regulated or security-conscious delivery environments SFIA Level 5 capability provides leadership, influences strategy, and drives quality improvements Active SC clearance (mandatory)
22/05/2026
Full time
Job Description About Scrumconnect Scrumconnect Consulting is a UK-based digital transformation consultancy delivering agile, secure, and scalable technology solutions for public and private sector clients. This is a fully remote role based in India, supporting UK operations and client engagements. The successful candidate will work closely with UK leadership teams and must be comfortable operating within UK regulatory, governance, and delivery frameworks. About the Role We are looking for an experienced Test Manager to lead quality assurance and testing activities within a large-scale cloud data engineering programme operating across a modern AWS-native technology ecosystem, including Apache Airflow, Amazon Athena, AWS Glue, S3, EMR, DynamoDB, and related cloud services. This role combines hands-on technical leadership with test strategy ownership . You will be responsible for defining and driving the overall testing approach across automated pipelines, data workflows, cloud infrastructure, and release delivery while managing risks, improving testing standards, and mentoring engineering teams. The ideal candidate will have strong experience in Big Data and Data Lake environments , including testing both structured and unstructured datasets, and will be comfortable operating in highly automated CI/CD-driven delivery environments. You will work closely with engineering, DevOps, architecture, and stakeholder teams to ensure quality is Embedded throughout the software delivery life cycle. Key Responsibilities Test Strategy & Leadership Define, implement, and manage the overall test strategy across cloud-native data platforms and applications Lead end-to-end testing activities across data pipelines, cloud services, APIs, and distributed systems Establish quality standards, governance processes, and testing best practices across teams Drive a quality-first engineering culture across the programme Provide leadership, mentoring, and coaching to Test Engineers and QA team members Automated Testing & Frameworks Design, implement, and oversee scalable automated test frameworks for data and application testing Build and maintain automated test suites across AWS cloud infrastructure and data workflows Enhance existing automation frameworks to improve reliability, coverage, maintainability, and reporting Ensure automated testing is fully integrated within GitLab CI/CD pipelines for rapid feedback and release confidence Big Data & Data Lake Testing Lead testing activities across Big Data and Data Lake solutions containing structured and unstructured datasets Validate large-scale data ingestion, transformation, and processing workflows Ensure data integrity, transformation accuracy, reconciliation, and performance under load Oversee PySpark-based data validation and interrogation activities on AWS EMR Support testing and monitoring of workflows orchestrated through Apache Airflow Drive root cause analysis for production data issues and platform defects Risk Management & Reporting Identify, assess, and communicate quality risks across releases and environments Analyse test execution metrics, defects, trends, and quality indicators Translate technical findings into clear, prioritised reporting for technical and non-technical stakeholders Provide regular status reporting to programme leadership and client stakeholders CI/CD & DevOps Collaborate with DevOps and engineering teams to improve release quality and deployment confidence Ensure automated test execution within GitLab CI/CD pipelines Support infrastructure testing and validation within Terraform-managed cloud environments Contribute to continuous improvement initiatives across testing and delivery processes Technology Stack Apache Airflow, Amazon Athena, AWS S3, AWS Glue, AWS EMR, AWS EC2, AWS ECR, AWS DynamoDB, AWS CloudWatch, AWS IAM, Python, SQL, Java, Bash, GitLab CI/CD, Jupyter Notebooks, Apache Spark/PySpark, Terraform, Docker Key Skills Strong proficiency in Python, SQL, Java, and Scripting languages such as Bash Hands-on experience testing Big Data platforms and Data Lake solutions Strong experience with AWS EMR, Apache Airflow, and Jupyter Notebooks Experience performing PySpark-based data interrogation, validation, and testing Strong knowledge of AWS services including S3, Glue, Athena, EMR, CloudWatch, IAM, DynamoDB, EC2, and ECR Experience designing, implementing, and managing enterprise-scale automated test frameworks Strong understanding of CI/CD practices using GitLab pipelines Experience with infrastructure-as-code tools such as Terraform Familiarity with Docker and containerised testing environments Understanding of dimensional data models and slowly changing dimensions Experience validating structured and unstructured data workflows Strong analytical and root cause analysis skills Ability to communicate technical risks clearly to stakeholders at all levels Experience leading and mentoring QA/Test Engineering teams Skills & Experience Required Proven experience as a Test Manager , Lead Test Engineer, or QA Lead within cloud and data engineering environments Strong background in automated testing for cloud-native and data-centric platforms Experience testing large-scale data pipelines, transformation processes, and distributed systems Experience managing or leading QA/testing teams in Agile delivery environments Strong stakeholder management and communication skills Experience establishing test governance, reporting, and quality metrics Strong problem-solving and decision-making capability Experience working within regulated or security-conscious delivery environments SFIA Level 5 capability provides leadership, influences strategy, and drives quality improvements Active SC clearance (mandatory)
Apache Spark Python AWS Cloud Data Pipelines A hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong analytical and engineering skills to deliver trusted, well-governed data assets in a modern, cloud-native environment. About Scrumconnect Scrumconnect is a leading UK technology consultancy delivering digital transformation across public and private sectors, contributing to over 20% of the UK's major citizen-facing public services. We specialise in cloud engineering, data platforms, and agile delivery, helping clients build scalable, secure, and user-centred digital solutions that create real impact. Active SC clearance is a mandatory, non-negotiable requirement. Candidates must hold current, in-date Security Check (SC) clearance at the time of application. Sponsorship is not available. Applications without active SC clearance will not be considered. Working arrangement: This role is hybrid. Candidates must be willing and able to travel to the London office three days per week. Remaining days may be worked remotely from anywhere in the UK. About the role You will work as a Data Engineer on a complex, cloud-based data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics, you will help deliver reliable, well-governed data assets to downstream users. You will apply strong data analysis skills to identify root causes of data issues, work with dimensional data models and slowly changing dimensions, and implement infrastructure as code using Terraform. Familiarity with DWP engineering best practices and the ability to translate customer expectations into applied technical functionality are key to success in this role. Key responsibilities Data pipeline development Build and maintain scalable data pipelines using Apache Spark and PySpark, processing and transforming large datasets across distributed cloud infrastructure. Workflow orchestration Configure and manage Apache Airflow DAGs for task orchestration, ensuring reliable scheduling, monitoring, and execution of data processing workflows. Root cause analysis Perform data analysis to identify and resolve root causes of pipeline failures and data quality issues - including reviewing EMR output logs and CloudWatch metrics. Data modelling Apply understanding of dimensional data models and slowly changing dimensions (SCD) to design and maintain well-structured, analytically trusted data assets. Infrastructure as code Provision and manage cloud infrastructure using Terraform. Containerise solutions using Docker and manage deployments through GitLab CI/CD pipelines and release tagging. Security & encryption Apply understanding of both Server Side and client-side encryption patterns within AWS. Work within IAM policies and data governance standards appropriate to a regulated government environment. Technical skills required Languages & analytics Python - primary language for pipeline development and data processing SQL - used for querying, transformation, and validation across data stores PySpark - for distributed data processing using Apache Spark on AWS EMR Familiarity with basic data structures for constructing robust, scalable solutions Data processing & orchestration Apache Spark - understanding of distributed data processing architecture and execution Apache Airflow - configuring DAGs and managing task orchestration at scale Jupyter Notebooks - for exploratory data analysis and pipeline prototyping Understanding of dimensional data models and slowly changing dimensions (SCD Types 1, 2, 3) Data analysis skills to identify root cause of issues within pipelines and data assets AWS services Amazon EMR - running Spark workloads and reviewing output logs Amazon Athena - ad hoc querying of data in S3 Amazon Textract and Comprehend - familiarity with AI/ML document extraction and NLP services AWS S3, IAM, CloudWatch, EC2, ECR - core platform services used day-to-day AWS console proficiency - navigating, configuring, and monitoring services Understanding of Server Side and client-side encryption within AWS Infrastructure, DevOps & delivery Terraform - Infrastructure as Code for provisioning and managing AWS environments Docker - containerisation of data engineering solutions GitLab - source code management, CI/CD pipeline configuration, release tagging, and component versioning Familiarity with DWP engineering best practices Ability to translate customer expectations into applied, functional technical solutions Technology stack at a glance PythonPySparkSQLApache SparkApache AirflowJupyter NotebooksDimensional modelling/SCDAWS EMRAmazon AthenaAWS S3AWS IAMAWS CloudWatchAWS EC2/ECRAmazon TextractAmazon ComprehendTerraformDockerGitLab CI/CDGitLab Tags
22/05/2026
Contractor
Apache Spark Python AWS Cloud Data Pipelines A hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong analytical and engineering skills to deliver trusted, well-governed data assets in a modern, cloud-native environment. About Scrumconnect Scrumconnect is a leading UK technology consultancy delivering digital transformation across public and private sectors, contributing to over 20% of the UK's major citizen-facing public services. We specialise in cloud engineering, data platforms, and agile delivery, helping clients build scalable, secure, and user-centred digital solutions that create real impact. Active SC clearance is a mandatory, non-negotiable requirement. Candidates must hold current, in-date Security Check (SC) clearance at the time of application. Sponsorship is not available. Applications without active SC clearance will not be considered. Working arrangement: This role is hybrid. Candidates must be willing and able to travel to the London office three days per week. Remaining days may be worked remotely from anywhere in the UK. About the role You will work as a Data Engineer on a complex, cloud-based data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics, you will help deliver reliable, well-governed data assets to downstream users. You will apply strong data analysis skills to identify root causes of data issues, work with dimensional data models and slowly changing dimensions, and implement infrastructure as code using Terraform. Familiarity with DWP engineering best practices and the ability to translate customer expectations into applied technical functionality are key to success in this role. Key responsibilities Data pipeline development Build and maintain scalable data pipelines using Apache Spark and PySpark, processing and transforming large datasets across distributed cloud infrastructure. Workflow orchestration Configure and manage Apache Airflow DAGs for task orchestration, ensuring reliable scheduling, monitoring, and execution of data processing workflows. Root cause analysis Perform data analysis to identify and resolve root causes of pipeline failures and data quality issues - including reviewing EMR output logs and CloudWatch metrics. Data modelling Apply understanding of dimensional data models and slowly changing dimensions (SCD) to design and maintain well-structured, analytically trusted data assets. Infrastructure as code Provision and manage cloud infrastructure using Terraform. Containerise solutions using Docker and manage deployments through GitLab CI/CD pipelines and release tagging. Security & encryption Apply understanding of both Server Side and client-side encryption patterns within AWS. Work within IAM policies and data governance standards appropriate to a regulated government environment. Technical skills required Languages & analytics Python - primary language for pipeline development and data processing SQL - used for querying, transformation, and validation across data stores PySpark - for distributed data processing using Apache Spark on AWS EMR Familiarity with basic data structures for constructing robust, scalable solutions Data processing & orchestration Apache Spark - understanding of distributed data processing architecture and execution Apache Airflow - configuring DAGs and managing task orchestration at scale Jupyter Notebooks - for exploratory data analysis and pipeline prototyping Understanding of dimensional data models and slowly changing dimensions (SCD Types 1, 2, 3) Data analysis skills to identify root cause of issues within pipelines and data assets AWS services Amazon EMR - running Spark workloads and reviewing output logs Amazon Athena - ad hoc querying of data in S3 Amazon Textract and Comprehend - familiarity with AI/ML document extraction and NLP services AWS S3, IAM, CloudWatch, EC2, ECR - core platform services used day-to-day AWS console proficiency - navigating, configuring, and monitoring services Understanding of Server Side and client-side encryption within AWS Infrastructure, DevOps & delivery Terraform - Infrastructure as Code for provisioning and managing AWS environments Docker - containerisation of data engineering solutions GitLab - source code management, CI/CD pipeline configuration, release tagging, and component versioning Familiarity with DWP engineering best practices Ability to translate customer expectations into applied, functional technical solutions Technology stack at a glance PythonPySparkSQLApache SparkApache AirflowJupyter NotebooksDimensional modelling/SCDAWS EMRAmazon AthenaAWS S3AWS IAMAWS CloudWatchAWS EC2/ECRAmazon TextractAmazon ComprehendTerraformDockerGitLab CI/CDGitLab Tags
Data Development Operations Team Manager Location: Remote Salary: £70,000 per annum Vacancy Type: Full Time Expiry date: 10 June, 2026 At Stonewater, data is at the heart of how we improve services, drive performance, and support our customers. We're transforming our data capability to build a modern, scalable, and insight-led organisation - and we're looking for a Data DevOps Manager to help lead that journey. This is a high-impact role where you'll shape how data platforms are built, deployed, and operated across the business, ensuring reliability, security, and performance at every step. As Data DevOps Manager , you'll lead a specialist team delivering data pipelines, platforms, and BI solutions within an Agile environment. You'll combine technical leadership with strategic thinking to ensure our data ecosystem is automated, efficient, and aligned to business needs. You'll work closely with Data Engineering, BI, IT, and business stakeholders to deliver high-quality, trusted data solutions that support everything from operational reporting to executive decision-making. What you'll be doing: Lead the development and operation of scalable data platforms and pipelines Drive DevOps best practice across data engineering and BI environments Implement Infrastructure as Code (IaC) for cloud-based data solutions Ensure high availability, performance, and resilience of data systems Deliver dashboards, reports, and analytics that enable business insight Embed strong data governance, quality, and security standards Monitor platform performance, cost, and reliability against agreed SLAs Manage stakeholders and external suppliers to deliver data initiatives Lead, coach, and develop a high-performing Data DevOps team What you'll bring: Technical expertise Strong experience in Azure data platforms (e.g. Synapse, Data Factory, Data Lake, SQL) Advanced SQL and experience managing enterprise data models Proven experience with Power BI, including data modelling and optimisation Expertise in data pipelines, automation, and DevOps practices (CI/CD, IaC) Strong understanding of data governance, data quality, and lifecycle management Leadership & delivery Experience leading technical teams in complex, multi-stakeholder environments Strong programme and delivery management capability Ability to balance priorities, manage risk, and deliver to deadlines Experience managing budgets, suppliers, and SLAs Communication & mindset Confident engaging technical and non-technical stakeholders Strong analytical and problem-solving skills Resilient, adaptable, and focused on continuous improvement A collaborative leader who brings teams together to deliver Appointment to this role will be subject to satisfactory references and possession of a valid Right to Work document. Discover Stonewater: Stonewater is a leading housing provider. We manage around 40,000 homes, serving 93,000 customers across our portfolio of affordable properties for general rent, shared ownership and sale, alongside specialist accommodation, with an ambitious house-building programme. Our mission is to provide quality homes and services for people whose needs are not met by the open market. We're looking for like-minded people to join our team of over 900 talented colleagues who embody our values of being ethical, ambitious, passionate, agile and commercial, as well as people who want to make a difference and transform people's lives. We are a Disability Confident Employer and working towards accreditation for becoming a Disability Confident Leader, which allows us to record and report on disability, mental health and wellbeing in the workplace to better support our colleagues. We have also achieved accreditation for being an Advanced Employer for Investing in Ethnicity Maturity Matrix. We are committed to being a Menopause Friendly employer and working towards accreditation our Menopause Friendly accreditation. Stonewater reserve the right to bring the closing date forward should enough quality applications be received prior to the current closing date. To Apply If you feel you are a suitable candidate and would like to work for Stonewater, please click apply to be redirected to our website to complete your application.
22/05/2026
Full time
Data Development Operations Team Manager Location: Remote Salary: £70,000 per annum Vacancy Type: Full Time Expiry date: 10 June, 2026 At Stonewater, data is at the heart of how we improve services, drive performance, and support our customers. We're transforming our data capability to build a modern, scalable, and insight-led organisation - and we're looking for a Data DevOps Manager to help lead that journey. This is a high-impact role where you'll shape how data platforms are built, deployed, and operated across the business, ensuring reliability, security, and performance at every step. As Data DevOps Manager , you'll lead a specialist team delivering data pipelines, platforms, and BI solutions within an Agile environment. You'll combine technical leadership with strategic thinking to ensure our data ecosystem is automated, efficient, and aligned to business needs. You'll work closely with Data Engineering, BI, IT, and business stakeholders to deliver high-quality, trusted data solutions that support everything from operational reporting to executive decision-making. What you'll be doing: Lead the development and operation of scalable data platforms and pipelines Drive DevOps best practice across data engineering and BI environments Implement Infrastructure as Code (IaC) for cloud-based data solutions Ensure high availability, performance, and resilience of data systems Deliver dashboards, reports, and analytics that enable business insight Embed strong data governance, quality, and security standards Monitor platform performance, cost, and reliability against agreed SLAs Manage stakeholders and external suppliers to deliver data initiatives Lead, coach, and develop a high-performing Data DevOps team What you'll bring: Technical expertise Strong experience in Azure data platforms (e.g. Synapse, Data Factory, Data Lake, SQL) Advanced SQL and experience managing enterprise data models Proven experience with Power BI, including data modelling and optimisation Expertise in data pipelines, automation, and DevOps practices (CI/CD, IaC) Strong understanding of data governance, data quality, and lifecycle management Leadership & delivery Experience leading technical teams in complex, multi-stakeholder environments Strong programme and delivery management capability Ability to balance priorities, manage risk, and deliver to deadlines Experience managing budgets, suppliers, and SLAs Communication & mindset Confident engaging technical and non-technical stakeholders Strong analytical and problem-solving skills Resilient, adaptable, and focused on continuous improvement A collaborative leader who brings teams together to deliver Appointment to this role will be subject to satisfactory references and possession of a valid Right to Work document. Discover Stonewater: Stonewater is a leading housing provider. We manage around 40,000 homes, serving 93,000 customers across our portfolio of affordable properties for general rent, shared ownership and sale, alongside specialist accommodation, with an ambitious house-building programme. Our mission is to provide quality homes and services for people whose needs are not met by the open market. We're looking for like-minded people to join our team of over 900 talented colleagues who embody our values of being ethical, ambitious, passionate, agile and commercial, as well as people who want to make a difference and transform people's lives. We are a Disability Confident Employer and working towards accreditation for becoming a Disability Confident Leader, which allows us to record and report on disability, mental health and wellbeing in the workplace to better support our colleagues. We have also achieved accreditation for being an Advanced Employer for Investing in Ethnicity Maturity Matrix. We are committed to being a Menopause Friendly employer and working towards accreditation our Menopause Friendly accreditation. Stonewater reserve the right to bring the closing date forward should enough quality applications be received prior to the current closing date. To Apply If you feel you are a suitable candidate and would like to work for Stonewater, please click apply to be redirected to our website to complete your application.
MuleSoft Lead Developer Location: Remote (UK-based) Type: Full-Time Permanent Salary: Up to £72,000 + excellent benefits Security: SC Clearance Eligibility Required The Opportunity We're working with a leading organisation undergoing significant digital transformation, and they're looking to bring in two experienced MuleSoft Lead Developers to help drive the next phase of their integration strategy. This is a fantastic opportunity to join a high-performing engineering environment where you'll lead from the front-owning delivery, shaping best practice, and mentoring teams while working on enterprise-scale integration programmes. The Role Design and deliver APIs using API-led connectivity (System, Process, Experience layers) Build complex integration solutions including event-driven architectures, orchestration, streaming, and batch processing Lead development on key projects, ensuring high-quality engineering standards Produce reusable assets, modules, and DataWeave transformations Contribute to API specifications (RAML/OAS) and integration design documentation Ensure robust logging, monitoring, alerting, and error handling frameworks Support CI/CD pipelines, automated testing, and Git-based workflows Deliver MUnit test coverage of 80%+ Provide BAU support including incident resolution and root cause analysis Mentor developers, conduct code reviews, and promote best practice About You Extensive experience in MuleSoft development (Mule 4) Strong capability with DataWeave 2.0 and Anypoint Platform MuleSoft Certified Developer Level 1 (Level 2 desirable) Experience delivering enterprise-scale integrations Integration experience with Salesforce, SAP, ServiceNow, AWS/Azure, databases, and legacy systems Knowledge of API security (OAuth 2.0, JWT, mTLS/SSL/TLS) Familiarity with CloudHub v2.0, Runtime Fabric, and hybrid architectures Why Apply Fully remote working Competitive salary and strong benefits package Generous holiday allowance with option to buy more Matched pension, life assurance, and enhanced family leave Learning and development opportunities Inclusive networks and mentoring communities Work on high-impact transformation programmes Interested? If you're a MuleSoft expert ready to step into a lead role where you can make a real impact, apply now or get in touch for a confidential discussion. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
22/05/2026
Full time
MuleSoft Lead Developer Location: Remote (UK-based) Type: Full-Time Permanent Salary: Up to £72,000 + excellent benefits Security: SC Clearance Eligibility Required The Opportunity We're working with a leading organisation undergoing significant digital transformation, and they're looking to bring in two experienced MuleSoft Lead Developers to help drive the next phase of their integration strategy. This is a fantastic opportunity to join a high-performing engineering environment where you'll lead from the front-owning delivery, shaping best practice, and mentoring teams while working on enterprise-scale integration programmes. The Role Design and deliver APIs using API-led connectivity (System, Process, Experience layers) Build complex integration solutions including event-driven architectures, orchestration, streaming, and batch processing Lead development on key projects, ensuring high-quality engineering standards Produce reusable assets, modules, and DataWeave transformations Contribute to API specifications (RAML/OAS) and integration design documentation Ensure robust logging, monitoring, alerting, and error handling frameworks Support CI/CD pipelines, automated testing, and Git-based workflows Deliver MUnit test coverage of 80%+ Provide BAU support including incident resolution and root cause analysis Mentor developers, conduct code reviews, and promote best practice About You Extensive experience in MuleSoft development (Mule 4) Strong capability with DataWeave 2.0 and Anypoint Platform MuleSoft Certified Developer Level 1 (Level 2 desirable) Experience delivering enterprise-scale integrations Integration experience with Salesforce, SAP, ServiceNow, AWS/Azure, databases, and legacy systems Knowledge of API security (OAuth 2.0, JWT, mTLS/SSL/TLS) Familiarity with CloudHub v2.0, Runtime Fabric, and hybrid architectures Why Apply Fully remote working Competitive salary and strong benefits package Generous holiday allowance with option to buy more Matched pension, life assurance, and enhanced family leave Learning and development opportunities Inclusive networks and mentoring communities Work on high-impact transformation programmes Interested? If you're a MuleSoft expert ready to step into a lead role where you can make a real impact, apply now or get in touch for a confidential discussion. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Opus Recruitment Solutions Ltd
Nottingham, Nottinghamshire
AWS Cloud Engineer (TypeScript CDK) | £400 - £450 | Outside IR35 | 4 Months | Fully Remote We're recruiting for an experienced AWS Cloud Developer for a 4-Month contract role with view of extension. This position will play a vital part in the delivery of a key project due to launch in Q3/Q4. This position is determined as Outside IR35 and is offered on a fully remote basis. Key Requirements Strong AWS CDK (TypeScript) experience building scalable cloud-native infrastructure Node.js Lambda development with API Gateway, routing, authentication, and throttling Experience with IoT Core and large-scale device or user ecosystems Strong data experience across SQL (PostgreSQL), DynamoDB, and Timestream solutions Experience with SQS and event-driven, asynchronous distributed system architectures Solid understanding of S3, CloudFront, VPCs, and AWS networking fundamentals Proven AWS security, monitoring, and alerting experience (IAM, WAF, CloudWatch) Experience building integration-heavy cloud-native SaaS platforms with multiple APIs If this AWS Cloud Developer role sounds like a good fit and you'd like to know more, please apply with your most up to date CV and I'll be in touch. AWS Cloud Engineer (TypeScript CDK) | £400 - £450 | Outside IR35 | 4 Months | Fully Remote
22/05/2026
Contractor
AWS Cloud Engineer (TypeScript CDK) | £400 - £450 | Outside IR35 | 4 Months | Fully Remote We're recruiting for an experienced AWS Cloud Developer for a 4-Month contract role with view of extension. This position will play a vital part in the delivery of a key project due to launch in Q3/Q4. This position is determined as Outside IR35 and is offered on a fully remote basis. Key Requirements Strong AWS CDK (TypeScript) experience building scalable cloud-native infrastructure Node.js Lambda development with API Gateway, routing, authentication, and throttling Experience with IoT Core and large-scale device or user ecosystems Strong data experience across SQL (PostgreSQL), DynamoDB, and Timestream solutions Experience with SQS and event-driven, asynchronous distributed system architectures Solid understanding of S3, CloudFront, VPCs, and AWS networking fundamentals Proven AWS security, monitoring, and alerting experience (IAM, WAF, CloudWatch) Experience building integration-heavy cloud-native SaaS platforms with multiple APIs If this AWS Cloud Developer role sounds like a good fit and you'd like to know more, please apply with your most up to date CV and I'll be in touch. AWS Cloud Engineer (TypeScript CDK) | £400 - £450 | Outside IR35 | 4 Months | Fully Remote
AWS Technical Architect - SC Cleared APPLICANTS MUST HOLD LIVE SC LEVEL SECURITY CLEARANCE Remote - UK based - 6 month contract £700-£800/day Inside IR35 | £750-£850/day Outside IR35 We're looking for an experienced AWS Technical Architect to support a large-scale cloud transformation programme delivering secure, scalable, and enterprise-grade AWS platforms. This is a hands-on architecture role working closely with CloudOps, DevOps, engineering teams, and customer stakeholders to design and deliver secure AWS solutions across highly regulated environments. Key Responsibilities Design secure, scalable, and resilient AWS architectures Lead AWS Landing Zone and Control Tower implementations Drive Terraform Infrastructure as Code and DevOps automation Design AWS networking solutions including Transit Gateway, Direct Connect, Route 53, and hybrid connectivity Implement AWS security best practices across IAM, encryption, and compliance Support cloud migration, CI/CD, monitoring, and operational excellence Provide technical leadership across engineering and operations teams Required Experience Proven AWS Technical Architect/Cloud Architect experience Strong AWS infrastructure, networking, and security knowledge Terraform and Infrastructure as Code expertise Experience with AWS Organizations, Control Tower, and Landing Zones CI/CD experience using tools such as GitHub Actions Knowledge of OAuth2, SAML2.0, and OIDC Scripting experience with Python, Bash, or PowerShell Nice to Have EKS/ECS/ECR experience Public sector or regulated environment experience AWS Professional or Specialty certifications
22/05/2026
Contractor
AWS Technical Architect - SC Cleared APPLICANTS MUST HOLD LIVE SC LEVEL SECURITY CLEARANCE Remote - UK based - 6 month contract £700-£800/day Inside IR35 | £750-£850/day Outside IR35 We're looking for an experienced AWS Technical Architect to support a large-scale cloud transformation programme delivering secure, scalable, and enterprise-grade AWS platforms. This is a hands-on architecture role working closely with CloudOps, DevOps, engineering teams, and customer stakeholders to design and deliver secure AWS solutions across highly regulated environments. Key Responsibilities Design secure, scalable, and resilient AWS architectures Lead AWS Landing Zone and Control Tower implementations Drive Terraform Infrastructure as Code and DevOps automation Design AWS networking solutions including Transit Gateway, Direct Connect, Route 53, and hybrid connectivity Implement AWS security best practices across IAM, encryption, and compliance Support cloud migration, CI/CD, monitoring, and operational excellence Provide technical leadership across engineering and operations teams Required Experience Proven AWS Technical Architect/Cloud Architect experience Strong AWS infrastructure, networking, and security knowledge Terraform and Infrastructure as Code expertise Experience with AWS Organizations, Control Tower, and Landing Zones CI/CD experience using tools such as GitHub Actions Knowledge of OAuth2, SAML2.0, and OIDC Scripting experience with Python, Bash, or PowerShell Nice to Have EKS/ECS/ECR experience Public sector or regulated environment experience AWS Professional or Specialty certifications
