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Who we are VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation. As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. About this Role We are seeking a skilled Platform Developer to join our Digital & IT Engineering team. In this role, you will be responsible for designing, building, testing, and maintaining cloud native software components that support secure, scalable, and high performing digital platforms across multiple markets. Working within cross functional, product focused squads, you will contribute to the delivery of end to end digital experiences and customer journeys. You will apply modern engineering practices, collaborate closely with product and business stakeholders, and actively support agile delivery methodologies. The ideal candidate combines strong software engineering expertise with a passion for building resilient, high quality solutions in a fast paced, collaborative environment. What you will do Build high quality, maintainable software across backend services, APIs, data flows, and integration layers using cloud native and event driven patterns Collaborate with Technical Leads, Product Owners, and Delivery Leads to refine requirements, estimate work, and deliver incremental value through agile development Write clean, secure, and well tested code for microservices, APIs, and integration components; implement solutions aligned to architecture guidelines and platform engineering standards Participate in code reviews, technical design discussions, and agile ceremonies (refinement, planning, stand ups, retrospectives) Contribute to test automation and quality first engineering practices, including unit and integration testing; support CI/CD pipelines, observability, and operational readiness to enable reliable and efficient deployment cycles Diagnose incidents, resolve defects, and continuously improve platform services; maintain clear documentation and contribute to reusable engineering components Support optimisation of performance, scalability, and resilience across services Collaborate with external partners where applicable to sustain delivery quality and alignment with engineering standards Who you are An individual who collaborates effectively within cross functional teams and contributes to a supportive team environment; able to take ownership of assigned tasks, identify potential risks, and propose improvements to enhance delivery outcomes A clear communicator who ensures shared understanding of requirements, design decisions, and technical challenges Experienced in working within agile teams, embracing continuous improvement and iterative delivery; familiar with modern programming languages and frameworks such as Java, Kotlin, Node.js, Python, or Spring Boot Knowledgeable in microservices architectures, RESTful APIs, and event driven systems Comfortable working with cloud platforms (AWS, Azure, or GCP), containerisation (Docker), and orchestration tools (Kubernetes) Experienced in automated testing, CI/CD pipelines, and code quality tools Strong understanding of data structures, integration patterns, and secure coding practices Educated to degree level in Computer Science, Engineering, or possessing equivalent practical development experience What's in it for you Opportunity to work at the core of Vodafone's next generation Digital & IT platform, contributing to innovative digital solutions Exposure to multi market, multi tenant platform delivery in a global environment Collaborative, product centric squad culture with a strong emphasis on modern engineering practices Continuous learning through hands on experience with cloud native technologies and scalable architectures A supportive environment that encourages ownership, creativity, and continuous improvement What skills you will learn Advanced cloud native engineering and microservices design patterns Building and managing scalable, event driven architectures Full lifecycle product development in agile, cross functional teams-CI/CD, automation, and observability practices for high performance systems Platform engineering standards and best practices for large scale digital ecosystems Equal Opportunity Employer Commitment Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio economic background.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages (e.g., Java, Go, Python), with 3 years of experience testing, maintaining, or launching software products. 3 years of experience building scalable backend systems or CI/CD pipelines. 2 years of experience testing, launching software products, and building developer tools that improve developer velocity, code quality and code health (e.g., compilers, automated releases, code design and testing, test automation frameworks). Preferred qualifications: Master's degree or PhD in Computer Science, or a related technical field. 5 years of experience with data structures and algorithms. 1 year of experience in a technical leadership role. Experience building developer tools or large-scale automation systems. Passion for improving developer productivity and experience. About the job the company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to the company's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Developer and Agent Experience team is on a mission to revolutionize how developers on Android, Chrome, and ChromeOS build and ship products. Android is the company's mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. Responsibilities Lead the design, development, and deployment of complex software and AI-driven systems to enhance developer workflows, influencing beyond your individual contributions. Scope ambiguous problems, research potential solutions, and propose designs that consider both immediate needs and long-term system health. Collaborate effectively with Engineers, Product Managers, and UX Researchers across Android, Chrome, and other teams to understand pain points, gather requirements, and drive adoption of new solutions. Architect and build robust, scalable, and maintainable AI Software Engineering Agents and platform components and serve as a technical leader and "go-to" person for specific areas of expertise within the team. Analyze and improve the performance, reliability, and scalability of developer tools and agentic systems, making data-driven decisions. the company is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

We're hiring for multiple roles within our FDE team. As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the company platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data. This is a hands on, customer facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects, including end to end design, build and deployment of industry leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects that lead to a customer's successful understanding, evaluation and adoption of the company. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and the company best practices. Work with the company technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customers' needs. Work with Engineering and the company Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the company product roadmap. What we look for: Experience in data engineering, data platforms & analytics, or software engineering / full stack development Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end to end data architectures and applications that combine data pipelines, ML/AI models, and user facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of the company based solutions to complete customer projects. Travel to customers 20% of the time the company Certification - an advantage Benefits At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. Our Commitment to Diversity and Inclusion At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Our Team How we enrich everyday life. Be part of a team shaping the future of audio. At Bauer Media Audio, we reach millions of listeners every day across Europe, and we're investing heavily in transforming how broadcast technology is built and delivered. You will join a collaborative, supportive and forward-thinking team working across broadcast, cloud and digital platforms. Together, you'll help modernise how live audio is delivered across nine markets, working with colleagues who value curiosity, inclusivity and shared success. The difference you will make In this role, you will play a key part in transforming traditional broadcast technology into modern, cloud-based platforms. Your work will directly support the delivery of live audio services that operate 24/7 across multiple countries. You will design and build resilient, scalable infrastructure, helping shape a platform that supports innovation across broadcast, digital and future AI-driven initiatives. This is an opportunity to take real ownership, contribute ideas and make a visible impact in a business undergoing meaningful transformation. Your role Design, build and operate cloud-based broadcast platforms, combining hands on engineering with architectural thinking to deliver reliable and scalable audio services. Design and build cloud based platforms for live audio broadcasting using AWS. Create resilient, highly available systems that support 24/7 operations. Develop pipelines for audio ingestion, processing and distribution. Lead hands on delivery using infrastructure as code and automation. Support the migration of broadcast systems from on premise to cloud. Collaborate with engineering, product and business teams across multiple markets. Integrate third party tools and vendor solutions into the platform. Ensure platforms are scalable, reusable and cost efficient. Contribute to documentation, standards and best practice. Continuously improve platform performance, resilience and user experience. The skills you will bring Experience working with cloud platforms (AWS preferred). Background in broadcast engineering, live audio or similar environments. Experience designing or supporting cloud migrations. Understanding of distributed systems and platform scalability. Familiarity with containerisation and modern DevOps practices. Ability to work collaboratively with both technical and non technical colleagues. Confidence working in a hands on, delivery focused role. Experience in media or broadcasting (helpful but not essential). Exposure to international or multi region environments (helpful). Working Pattern & Location This role is based in London or Manchester with hybrid working. Occasional travel across Europe may be required. About the company We are a media business focused on creating content that matters to millions of people across Europe. Our offering extends from print and online publishing to audio broadcasting and entertainment, alongside investments in other media related sectors. With more than 500 million copies sold each year, we are one of Europe's largest publishers. From women's and celebrities' magazines to TV listings to food and special interest, we own some of the most popular publishing brands in Germany, UK, Poland and France - both digital and print. But not only that. Reaching over 61 million listeners weekly, we operate over 150 radio and podcast brands in nine countries, spanning the UK, Ireland, Poland, Slovakia, Denmark, Sweden, Finland, Norway and Portugal. Family owned in the 5th generation, Bauer Media focuses on the long term, with a consumer first mindset that guides us across our diverse portfolio. Our workforce of 12,000 shares a common purpose: to deliver content and services that enrich people's everyday lives. What's in it for you You'll have 28 days holiday, bank holidays & 2 volunteer days to use. Your development matters, so access to our internal training provider - Bauer Academy, is a huge win. We have enhanced Maternity/Adoption, Paternity and Shared Parental Leave Pay. You'll have the opportunity for flexible working. And much more! Find the full details of our benefits here. Equal Opportunity We are an international employer and equal opportunities are important to us. That's why we welcome everyone in their uniqueness, regardless of e.g. religion, gender, skin color, disability in our house. We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or a long term health condition, and need us to make any reasonable adjustments or do anything differently during any stage of the recruitment process, please let us know.

Platform DeveloperLondon, United KingdomApply NowFind out how well you match with this jobRequisition ID285351Date posted06/26/2026 Who we are VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation. As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability. We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal. About this Role We are seeking a skilled Platform Developer to join our Digital & IT Engineering team. In this role, you will be responsible for designing, building, testing, and maintaining cloud native software components that support secure, scalable, and high performing digital platforms across multiple markets.Working within cross functional, product focused squads, you will contribute to the delivery of end to end digital experiences and customer journeys. You will apply modern engineering practices, collaborate closely with product and business stakeholders, and actively support agile delivery methodologies.The ideal candidate combines strong software engineering expertise with a passion for building resilient, high quality solutions in a fast paced, collaborative environment. What you will do Build high quality, maintainable software across backend services, APIs, data flows, and integration layers using cloud native and event driven patterns Collaborate with Technical Leads, Product Owners, and Delivery Leads to refine requirements, estimate work, and deliver incremental value through agile development Write clean, secure, and well tested code for microservices, APIs, and integration componentsImplement solutions aligned to architecture guidelines and platform engineering standards Participate in code reviews, technical design discussions, and agile ceremonies (refinement, planning, stand ups, retrospectives) Contribute to test automation and quality first engineering practices, including unit and integration testingSupport CI/CD pipelines, observability, and operational readiness to enable reliable and efficient deployment cycles Diagnose incidents, resolve defects, and continuously improve platform servicesMaintain clear documentation and contribute to reusable engineering components Support optimisation of performance, scalability, and resilience across services Collaborate with external partners where applicable to sustain delivery quality and alignment with engineering standards Who you are An individual who collaborates effectively within cross functional teams and contributes to a supportive team environmentAble to take ownership of assigned tasks, identify potential risks, and propose improvements to enhance delivery outcomes A clear communicator who ensures shared understanding of requirements, design decisions, and technical challenges Experienced in working within agile teams, embracing continuous improvement and iterative deliveryFamiliar with modern programming languages and frameworks such as Java, Kotlin, Node.js, Python, or Spring BootKnowledgeable in microservices architectures, RESTful APIs, and event driven systems Comfortable working with cloud platforms (AWS, Azure, or GCP), containerisation (Docker), and orchestration tools (Kubernetes) Experienced in automated testing, CI/CD pipelines, and code quality tools Strong understanding of data structures, integration patterns, and secure coding practices Educated to degree level in Computer Science, Engineering, or possessing equivalent practical development experience What's in it for you Opportunity to work at the core of Vodafone's next generation Digital&IT platform, contributing to innovative digital solutions Exposure to multi market, multi tenant platform delivery in a global environment Collaborative, product centric squad culture with a strong emphasis on modern engineering practices Continuous learning through hands on experience with cloud native technologies and scalable architectures A supportive environment that encourages ownership, creativity, and continuous improvement What skills you will learn Advanced cloud native engineering and microservices design patterns Building and managing scalable, event driven architectures Full lifecycle product development in agile, cross functional teamsCI/CD, automation, and observability practices for high performance systems Platform engineering standards and best practices for large scale digital ecosystems Not a perfect fit? Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best. VOIS Equal Opportunity Employer Commitment Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background. Join Us At Vodafone, we're working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this. We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together. With us, you can be truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference. Alert Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.

the company ( ) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Job Details the company is seeking a Senior Cloud Engineer to lead the implementation and operation of secure, scalable cloud platforms across both the company and client environments. This role is responsible for translating cloud architectures into production-ready solutions, supporting the deployment of Data Hub's data transformation and analytics platform across multiple cloud environments. You will work closely with software, data, and infrastructure teams to deliver reliable, secure, and repeatable deployments while ensuring operational excellence and adherence to governance requirements. About The Team You will join the Data Hub team, a multidisciplinary group of scientists, engineers, and developers focused on solving complex data transformation and analytics challenges across industries including geothermal, environmental, hydrocarbon, and mineral exploration. The team works in a collaborative environment alongside data engineers, machine learning engineers, and software developers. This role is based in either North Wales or Crawley with a hybrid working arrangement. Key Responsibilities Cloud Platform Engineering Implement cloud architectures within the company and client environments. Build and automate cloud foundations including networking, identity, governance, and security controls. Deliver and operate Kubernetes-based platforms, primarily using Azure Kubernetes Service (AKS). Infrastructure Automation & Deployment Develop and maintain Infrastructure as Code using Terraform, Bicep, or similar tools. Build and manage CI/CD pipelines, deployment processes, and release controls. Create reusable cloud modules and deployment patterns to improve consistency and scalability. Security & Governance Implement security controls including IAM/RBAC, network segmentation, encryption, secrets management, and policy enforcement. Ensure cloud platforms meet security, compliance, and governance requirements. Support vulnerability management and security monitoring practices. Operations & Reliability Implement monitoring, alerting, backup, and disaster recovery solutions. Troubleshoot and resolve complex issues across cloud, Kubernetes, and database platforms. Develop operational documentation, runbooks, and knowledge transfer materials. Stakeholder Collaboration Work closely with software teams, client stakeholders, and operations teams to deliver cloud solutions. Support technical planning, risk management, and deployment activities. Contribute to engineering standards, best practices, and continuous improvement initiatives. Qualifications Required Proven experience delivering production cloud environments, particularly within Microsoft Azure. Strong experience implementing and operating Kubernetes platforms. Experience deploying and supporting database platforms using both PaaS and VM-based solutions. Strong experience with Infrastructure as Code tools such as Terraform or Bicep. Experience building and maintaining CI/CD pipelines. Strong understanding of cloud security principles, including IAM, networking, encryption, and secrets management. Experience troubleshooting networking, distributed systems, and cloud platform issues. Ability to work independently and take ownership of technical delivery. Preferred Experience with AWS and/or OpenStack environments. Experience implementing landing zones and cloud governance frameworks. Scripting and automation experience using PowerShell, Python, or Bash. Experience with policy-as-code and cloud security tooling. Experience supporting hybrid or private cloud environments. Experience working within highly regulated or security-sensitive environments. Additional Information Hybrid working available from North Wales or Crawley. Opportunity to work across both the company and client cloud environments. Collaboration with software, data, and machine learning teams on large-scale data and analytics platforms. Why work with us? Competitive salary commensurate with experience Highly attractive bonus scheme Hybrid model and flexible working with up to 2 days at home Initial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday program Company pension with generous employer contribution Wellbeing Unmind app - puts you in control of your mental health A flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and much more! Regular social club events, spontaneous reward events throughout the year Cycle purchase scheme Flexible Private Medical & Dental care programmes Sponsorship of visas/comprehensive relocation packages Bank Holiday Swap - our holiday swap program allows you to change it for another day of your choice! Relaxed dress code policy Learning and Development At the company, we foster a culture of continuous learning and provide tailored training programs through our Learning Hub, designed to enhance technical, commercial, and personal growth. We Care About The Environment We encourage and actively support a strong sense of community, through volunteering and various company initiatives, as well as a strong company commitment to protecting our environment through sustainable solutions, energy saving and waste reduction enterprises. Our Hiring Process At the company, we are committed to delivering a respectful, inclusive, and transparent recruitment experience. Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond. We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don't hesitate to contact your recruiter directly. We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.

Lead AI Engineer - Workday ProductsApplylocations: Belfast: Gdansk: Derry-Londonderry: Homeworker - Poland: Homeworker - UKtime type: Full timeposted on: Posted Todayjob requisition id: JR\_17949# Join Kainos and Shape the FutureAt Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we're transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together.We believe in a people-first culture , where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you'll be part of a diverse, ambitious team that celebrates creativity and collaboration.Ready to make your mark? Join us and be part of something bigger. As a Lead AI Engineer within the Workday Products at Kainos, you will play a critical role in bridging the gap between data science and software engineering to productionize AI and machine learning solutions. You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable AI solutions that enhance our Workday Products offerings. Your focus will be on ensuring seamless integration of AI models into production systems, optimizing performance, and maintaining the reliability of AI-driven features. Essential Experience: Extensive experience in software development, with proficiency in languages such as Python, Java, or C++. Emphasis on writing clean, efficient, and maintainable code for production-grade AI solutions. Proven experience in deploying AI/ML models to production environments, ensuring scalability, reliability, and performance. Familiarity with MLOps practices, including CI/CD pipelines, model versioning, and monitoring. Comprehensive experience with cloud platforms (AWS, Azure, or GCP) and cloud native AI tools, such as SageMaker, Vertex AI, or Azure ML Studio. Ability to design and deploy cloud-based AI solutions. Proficiency in using containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions. Strong skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems. Exposure to agile software development practices and experience working in agile teams. Strong interpersonal skills, with the ability to collaborate with cross-functional teams, translate technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders. Desirable Experience: MSc or PhD in Computer Science, Machine Learning, Software Engineering, or a related field. Familiarity with Workday APIs, data structures, and integration patterns. Experience designing and implementing generative AI solutions using large language models (e.g., OpenAI GPT, Hugging Face Transformers). Expertise in applying deep learning techniques (e.g., CNNs, RNNs, Transformers) to real-world problems. Active participation in knowledge-sharing activities such as conferences, workshops, or blogs, contributing to the AI community and fostering innovation. Who you are: Determined - you're flexible and overcome obstacles to get the job done to achieve personal and team goals. Creative - you actively look for better ways to do things using the latest AI technologies to find fresh solutions to complex problems Honest - always constructive when giving or receiving feedback, being transparent and truthful when dealing with others Respectful - you treat others as you would like to be treated being encouraging, accepting and supportive to everyone you deal with Cooperative - you share information, knowledge and experience, understanding the mutual benefits of team working.# Embracing our differences At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.

Swansea, United Kingdom Posted on 28/05/2026 About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy whose work has positively influenced the lives of over 40 million UK citizens. We deliver impactful technology solutions across UK government departments, working at the forefront of user centred design, agile delivery, and scalable digital services that genuinely make a difference. Location: Swansea (with a regular expectation of 60% on site attendance). Strong focus on work life balance with a flexible hybrid model (3 days onsite). Be part of a collaborative, multidisciplinary agile environment alongside civil servants and industry experts. Based in Swansea, South Wales - three days per week on site. About the Role We are seeking a technically deep, automation first Software Development Engineer in Test (SDET) to embed within a blended digital delivery squad of civil servants and supplier staff. In this role, you will design, build, maintain, and continuously improve the automated test frameworks and quality engineering practices that underpin high volume, citizen facing digital services handling billions of interactions annually. You will own the full testing lifecycle from strategic planning through to continuous integration and continuous deployment (CI/CD) pipeline integration. Working alongside software engineers, architects, and product owners, you will ensure that quality is built in from the start, rather than bolted on at the end. You will be expected to code in the languages used across our modern tech stack and maintain a strong grasp of API, performance, security, and accessibility testing. Key Responsibilities Framework Development: Design, build, and maintain automated test frameworks covering functional, regression, API, integration, performance, and security testing. Pipeline Integration: Embed automated tests within CI/CD pipelines (e.g., Jenkins or GitHub Actions) to ensure continuous quality feedback and facilitate fast build cycles. Strategy & Planning: Define and own the test strategy for assigned digital products, ensuring appropriate test coverage across unit, integration, system, performance, and accessibility layers. Specialised Testing: Lead API testing for REST/GraphQL services using tools like RestAssured, Postman, or Karate, and execute performance/load testing using Gatling, k6, or JMeter to validate services at a massive national scale. Accessibility & Security: Conduct rigorous accessibility testing aligned to WCAG 2.2 standards using automated tools (such as axe core or Pa11y) and manual screen reader testing, while embedding security testing practices (e.g., OWASP Top 10, DAST with OWASP ZAP or Burp Suite) within the delivery pipeline in support of secure by design principles. Shift Left Quality: Collaborate closely with software engineers, architects, and business analysts to define clear acceptance criteria, review code for testability, and champion shift left quality practices. Environment & Defect Management: Maintain test environments and test data strategies, manage the defect lifecycle, and produce clear quality dashboards and reports for the team and portfolio management. Government Service Standards: Support formal government service assessments by providing concrete evidence of test coverage, quality metrics, and accessibility compliance. Requirements Public Sector Delivery: Proven experience acting as an SDET or Senior Test Automation Engineer on large scale, cloud hosted digital or government services. Automation Frameworks: Deep, hands on expertise with modern test automation frameworks such as Selenium, Playwright, Cypress, Cucumber/BDD, RestAssured, or Karate. CI/CD & Cloud: Extensive experience integrating automated tests into CI/CD pipelines (e.g., Jenkins, GitHub Actions) and interpreting pipeline quality gates, alongside experience with AWS hosted environments and cloud based test execution. Performance & API Testing: Demonstrable experience in API testing (REST/GraphQL) and executing performance testing at a high volume scale. Accessibility & Security Compliance: Strong knowledge of WCAG 2.2 accessibility testing standards and relevant tooling (such as NVDA or JAWS), as well as familiarity with secure testing practices, vulnerability scanning, and DAST tools. Tech Stack Familiarity: Experience testing Java SpringBoot, Ruby on Rails, and AWS Lambda serverless patterns. Certifications: Recognised professional qualifications such as the ISTQB Advanced Level Test Automation Engineer certification. Advanced Testing Principles: Experience with contract testing (e.g., Pact) for microservices and API ecosystems, as well as familiarity with chaos engineering and site reliability testing principles. Tooling Proficiency: Advanced skills in test management tooling such as Jira, Xray, or Zephyr. Government Assessments: Prior experience working in GDS assessed services and actively contributing to service assessment evidence packs within comparable high volume government digital environments. What we offer Competitive salary with annual review Company pension scheme Generous annual leave entitlement Critical illness cover Relocation support of £3,000 - £5,000 Visa sponsorship for eligible candidates Access to learning and development resources A supportive, inclusive working environment Scrumconnect creates next generation digital services through an award winning blend of design, engineering, and artificial intelligence expertise. We specialise in modern software development, data solutions, testing, and strategic design to enable faster delivery, better user experiences, and lower operational costs across the public sector. Our delivery approach is driven by our core values: collaboration, creating value early, integrity, and commitment. We believe we are stronger together, tackling complex problems as one unified team to build intelligent, secure, and scalable platforms. With a proven track record of transforming critical digital services for major government departments including the DVLA, DWP, and HM Courts and Tribunals Service, we focus on turning information into insight, automating complexity, and delivering measurable impact for citizens. How to Apply Please submit your CV to or apply directly through this listing. For an informal conversation about the role, contact Name at contact details . Scrumconnect Consulting is an equal opportunities employer. We are committed to building a diverse and inclusive team and welcome applications from all backgrounds, regardless of age, disability, gender, ethnicity, religion, or sexual orientation.

Trintech is an award winning AI driven fintech SaaS organisation and we are seeking a Senior Software Engineer to help design, develop, and deliver high quality, scalable multi tier SaaS applications using modern web, desktop, and hybrid cloud technologies to meet customer and business needs. The role provides technical leadership within Agile teams, building robust frameworks, resolving complex issues, and applying best practices in CI/CD, quality first development, and system performance. The Senior Software Engineer mentors team members, establishes technical standards, and leverages technology expertise to support strategic business objectives and continuous improvement. What you'll do Design, develop, test and deliver innovative solutions to customer/technical challenges and diagnose and resolve complex issues. Work in Agile teams following Agile + SAFe methodologies to deliver high quality products on time with performance and localization requirements. Build robust frameworks and resolve complex issues. Maintain and improve existing codebases, ensuring high quality and efficient software. Apply best practices in CI/CD, quality first development, and system performance. Document all development processes, changes, and strategies. Participate actively in continuous learning to adopt new technologies and best practices. Work closely with cross functional teams to understand requirements and implement comprehensive solutions. Design and develop AI driven capabilities, including building or integrating AI agents, automation workflows, and intelligent services to enhance platform functionality and user experience. Mentor team members and establish technical standards. Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. 5+ years' experience in software development. Strong experience in .NET MVC, .NET Core, JavaScript and/or Angular, and SQL, SQL Server. Hands on experience building modular and component based front end applications with a strong grasp of JavaScript and/or Angular. Familiar with CI/CD including Azure Pipelines or similar deployment technologies. Interest in emerging AI technologies and their practical application in enterprise software development. Strong communication and collaboration skills. Successful track record delivering high quality and thoroughly tested products on time. Ability to adhere to technical standards and influence peers within a development team. Experience or familiarity with AI/ML concepts and tools, including building or consuming AI agents (e.g., LLM based workflows, copilots, Codex or automation agents), prompt design, and integrating AI services into applications. Excellent problem solving abilities and strong analytical skills. Highly motivated and self directed, capable of multi tasking, and able to work with minimal supervision. Experience working in an Agile/Scrum development process preferred. Culture & Benefits Trintech gives people time back for what matters most. Our culture is rooted in the values: Humble, Empowered, Reliable, and Open. Our AI Financial Close solutions enable thousands of clients worldwide to lead productivity transformation across their finance and accounting organisations. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin or disability.

Why Valtech? We're the experience innovation company - a trusted partner to the world's most recognised brands. To our people we offer growth opportunities, a values driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you'll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We're looking for a Conversational Analytics Engineer with strong expertise across the Google Cloud Platform ecosystem to drive forward conversational analytics and AI solutions. This role blends hands on engineering, AI/ML innovation and client facing problem solving. You'll work across traditional data engineering and emerging LLM/agentic AI patterns, helping design and deploy scalable, production ready solutions. Role responsibilities Design and build scalable data solutions using BigQuery and GCP native tooling Develop and deploy ML and AI solutions, including LLM based and agentic systems Work with tools such as Gemini to power conversational and analytical use cases Build and integrate analytical agents into real world applications Implement evaluation frameworks (version controlled via Git) to assess model and system performance Orchestrate APIs and enable seamless integration between models, data pipelines, and applications Apply modern MLOps and engineering best practices to deploy and maintain solutions in production Define and assess the quality and timeliness of available data sources Problem Solving & Client Engagement Translate business challenges into scalable data and AI solutions Communicate complex technical concepts clearly to non technical stakeholders Lead client conversations to shape data and analytics solutions, building trust and guiding them through technical and strategic decisions Work closely with cross functional teams (engineering, product, business) Help shape opportunities where conversational analytics and AI can drive value Required Skills Strong experience as a Data Engineer / Tech Lead within GCP Deep expertise in BigQuery and cloud based data architectures Hands on experience building and integrating ML / AI models into applications Experience with LLMs, RAG, embeddings, or agentic AI systems Experience with API orchestration and system integration Familiarity with evaluation pipelines and version control (Git) Strong communicator who can bridge technical and business teams Curious, pragmatic problem solver with a focus on impact Comfortable working in ambiguity and shaping new AI driven solutions Collaborative mindset with the ability to guide and influence others Nice to have Experience with Gemini, ADK, or similar AI frameworks Exposure to CDPs, analytics tooling, or customer data ecosystems Experience with MLOps and productionising AI solutions If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. Commitment to reaching all kinds of people We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we're intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we're creating a more equitable Valtech for all. The benefits This is a full time position based in the UK. Beyond a competitive compensation package, we offer: Flexibility, with remote and hybrid work options (country-dependent) Career advancement, with international mobility and professional development programs Learning and development, with access to cutting edge tools, training and industry experts Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.

About Us Join us in building the leading AI-Powered Mission Control for Corporate Travel. Some of the world's most recognizable companies, representing over $4T in market value, rely on Clarasight's software to reduce risks, save costs, protect revenues, and manage emissions aligned with business objectives and sustainability goals. About You You are a builder at heart - curious, analytical, and energized by turning complex financial and travel data into tools that people actually use. You move fluidly between data science, prototyping, and product thinking, and you're just as comfortable exploring a messy dataset as you are shipping a prototype into customers' hands. You thrive on iteration, customer feedback, and the challenge of making advanced techniques - including machine learning and LLMs - deliver real, measurable value. About the Role We are seeking a Data Scientist to create product prototypes that address customer needs and enhance platform capabilities. This role translates analytical insights into actionable tools, using advanced data techniques and customer feedback to shape what ships next. You will work across financial and travel spend data, collaborate closely with advisory, forecasting, and engineering partners, and help define how data science shows up in the Clarasight product. Key Responsibilities Prototype & Product Development Design and develop product prototypes based on financial and travel spend analysis and client data. Utilize Python, R, JavaScript, or Tableau to build scalable, testable tools for customers. Iterate on prototypes based on customer feedback to refine and improve usability. Work with engineering teams to operationalize data science workflows, ensuring scalability and long-term viability of prototypes. Data Integration & Insight Generation Lead data integration efforts across diverse sources and formats, ensuring clean, reliable, and unified datasets that power analytics and product features. Leverage customer datasets to identify trends, generate insights, and create impactful solutions. Collaborate with advisory and forecasting specialists to integrate insights into product design. Advanced Techniques & Visualization Explore and implement advanced techniques like machine learning, use of large language models for preliminary analyses, or optimization to improve the accuracy, speed, and efficiency of financial analytics tools. Create dynamic visualizations and dashboards to provide clients with actionable financial insights in an intuitive format. You'll Be a Great Fit If You Have experience in data science with a focus on finance, economics, travel spend analytics, or corporate cost management. Have expertise in data integration - including ETL pipelines, API connections, and harmonizing data across multiple systems and formats. Are proficient in Python, R, or JavaScript for data analysis and tool development. Are familiar with building and testing product prototypes in an iterative environment. Have strong knowledge of corporate finance principles, cost optimization strategies, and economic modeling. Have experience developing data-driven tools and applications that enable stakeholders to make informed financial decisions. Can communicate complex concepts to non-expert audiences effectively. Nice to Haves Experience working alongside AI systems and applying human judgment to automated outputs. Hands-on experience with LLMs or ML models applied to financial or spend data. Familiarity with corporate travel, expense, or emissions datasets. Experience shipping prototypes into production alongside engineering teams. Diverse Perspectives We know that innovation thrives on teams where diverse points of view come together to solve hard problems in ways that are just now possible. As such, we explicitly seek people that bring diverse life experiences, diverse educational backgrounds, diverse cultures, and diverse work experiences. Please be prepared to share with us how your perspective will bring something unique and valuable to our team. We Offer Generous options in our early stage startup for key members of the team. Working among a diverse, expert team at the forefront of climate tech, behavioral change, and people technology. Opportunity to make a foundational contribution to our mission: close the gap between climate-related intention and action. Remote and Hybrid work environments. Robust benefits including full medical, dental and vision insurance, 401k (or similar retirement programs) and sustainability benefit ($500 annually to spend on increasing personal sustainability).

Engineer - Audio & Video Processing - 12 months FTC Location:Crawley Court (Winchester), Emley Moor (Huddersfield), Newman Street Chalfont -London We operate a flexible, hybrid working environment - requirement to travel to either our Winchester or London office up to twice a week Total Package 12 months FTC Up to £54,000 base salary Generous pension scheme starting at 6% rising to 10% 25 days annual leave Private Medical A unique wellbeing programme that looks after the whole you Access to multiple learning platforms to support your individual development Active and diverse networks that build community, support wellbeing and advocate for change A comprehensive set of benefits including discounts on big brands, gymflex memberships and paid volunteering leave - see our full list of benefits here. Purpose - 12 months FTC Responsible for the design, development, implementation, operation, and troubleshooting of cloud-based and traditional Media platforms, with a particular focus on VOD, Cloud Playout, workflow automation, metadata-driven services, and AWS-hosted media solutions. The role is accountable for supporting, configuring, and optimising media workflows across production and non-production environments, ensuring reliable content delivery, operational excellence, and the successful integration of new services, partners, and technologies. The successful candidate will combine strong Media Engineering expertise with a solid understanding of cloud infrastructure, software-enabled workflows, automation, and modern deployment practices, enabling them to work effectively alongside Software, Platform, and Product Engineering teams. Accountabilities Design, configure, test, and support Media workflows and solutions to achieve maximum performance, reliability, and availability across VOD and Cloud Playout platforms. Provide technical expertise for the deployment, operation, and optimisation of Media services, ensuring efficient workflow execution and continual service improvement. Design and drive processes to facilitate the onboarding of new services, partners, channels, and content delivery workflows. Develop, analyse, troubleshoot, and modify Media systems, workflows, and configurations, ensuring compliance with operational, regulatory, and industry standards. Support the integration and operation of third-party Media products and vendor platforms hosted within AWS environments. Configure and maintain metadata-driven workflows, XML-based configurations, subtitle services, content delivery processes, and media processing pipelines. Support deployment and promotion activities through Git-based configuration management and CI/CD workflows. Troubleshoot issues across distributed cloud services, media workflows, and partner integrations, applying a structured and methodical approach to root-cause analysis and resolution. Support engagement with suppliers, vendors, contractors, and customers to ensure service delivery requirements are met and issues are effectively managed through to resolution. Standardise workflow configurations and engineering practices to improve maintainability, minimise disruption, and simplify integration with existing platforms and infrastructure. Document Media engineering principles, workflows, operational procedures, and platform configurations in line with industry best practices. Apply engineering, security, compliance, and operational standards across all aspects of Media platform design and support. Apply engineering best practices to deliver solutions that are reliable, scalable, maintainable, and supportable throughout their lifecycle. Act as a Design Authority (DA) within Media Engineering to ensure successful delivery of end-to-end solutions and support projects as Lead Design Authority (LDA) where required. Work closely with Product, Platform, Software Engineering, Architecture, Operations, and Network teams to deploy, optimise, and support Media solutions. Support AWS-based Media services including Lambda, Step Functions, S3, EventBridge, IAM, and related cloud-native technologies. Assist in the integration and migration of legacy Media systems into modern cloud-based architectures and workflows. Contribute to automation initiatives, operational tooling, and workflow orchestration to improve efficiency and reduce manual intervention. Provide technical leadership and mentoring to junior engineers, promoting engineering excellence, knowledge sharing, and continuous improvement. Stay current with emerging Media technologies, cloud platforms, video transport protocols, and industry best practices. Identify opportunities to improve engineering processes, platform performance, service resilience, and operational efficiency. Skills Media Engineering- Strong understanding of VOD, broadcast, playout, OTT, content delivery, metadata management, subtitle workflows, scheduling, and media processing technologies. Cloud Platforms & Operations- Practical understanding of AWS services including Lambda, Step Functions, S3, EventBridge, IAM, and cloud-native operational support. Configuration & Workflow Management- Experience working with XML, metadata-driven workflows, service onboarding, workflow configuration, and operational change management. Software & Automation Awareness- Ability to read, understand, troubleshoot, and modify code and scripts used within Media platforms and cloud workflows. Git & Deployment Practices- Understanding of Git-based workflows, CI/CD pipelines, configuration management, and deployment processes across multiple environments. Problem Solving- Strong analytical and troubleshooting skills with the ability to diagnose issues across distributed systems, cloud infrastructure, vendor products, and Media workflows. Vendor & Integration Management- Experience integrating with external partners and vendors using technologies such as FTP, SFTP, Apple Transporter, and S3-based delivery workflows. Video Connectivity & Distribution- Awareness of cloud ingest and distribution workflows and modern IP video transport technologies including SRT, RIST, and Zixi. Technical Leadership- Ability to mentor engineers, act as a subject matter expert, and share best practices across Media platforms and operational processes. Cross-Functional Collaboration- Proven ability to work effectively with Product, Engineering, Platform, Operations, Architecture, and external supplier teams. Operational Ownership- Ability to make informed decisions in live and time-sensitive operational environments while balancing technical, service, and commercial considerations. Communication & Stakeholder Management- Strong written and verbal communication skills with the ability to engage effectively with technical and non-technical stakeholders. Knowledge & Experience Experienced in Media Engineering within VOD, OTT, Broadcast, Playout, or Cloud Media environments. Demonstrable experience supporting Media workflows, platform configuration, metadata management, content delivery, service onboarding, and operational ownership of Media services. Experience working with cloud-hosted Media platforms and services running within AWS environments. Practical experience using AWS services such as Lambda, Step Functions, S3, EventBridge, and IAM for deployment, troubleshooting, and operational support. Experience working with Git-based source control, configuration management, and CI/CD deployment processes. Ability to understand, troubleshoot, and make changes to software-driven workflows, automation, and cloud-native services. Experience working with vendor-supported Media platforms and third-party integrations. Knowledge of XML and structured configuration formats used in Media workflows. Experience supporting or integrating cloud playout platforms, scheduling systems, playlist-driven workflows, or channel operations is beneficial. Good Python knowledge for workflow logic, automation support, AWS Lambda troubleshooting, and operational scripting is highly desirable. Knowledge of Infrastructure as Code tooling such as Terraform or Terragrunt is advantageous. Experience reverse-engineering legacy workflows and supporting migration to cloud-based platforms would be advantageous. Exposure to incident management, operational escalation, and live service support is desirable. Qualifications: A degree or equivalent experience in Media Technology, Computer Science, Software Engineering, Broadcast Engineering, Electrical Engineering, or a related discipline is advantageous. Important: This is not a traditional Playout Operations or Broadcast Support role. Successful candidates will have experience working with cloud-based media platforms and be comfortable engaging with software engineering concepts, source control, deployment pipelines, configuration management, automation, and code-based workflows, even where software development is not their primary discipline.

Location: Basingstoke (hybrid working 3 office days per week) Employment Type: Permanent, full time Think the AA is just about roadside assistance? Think again. For over a century, we've been evolving and adapting. Today, as the nation's leading motoring organisation, we offer a wide range of products and services to millions of customers. From roadside assistance to home and motor insurance, and the latest driving technologies, we have it all. As we continue to expand, diversify, and modernise, joining us as a Data Scientist means you'll play a crucial role in our success and be part of this exciting motoring journey. Our Chief Operating Office (COO) are the backbone of The AA, providing both stability and structure to support growth and innovation. We are the drivers of change. This is the job Data is one of the AA's biggest opportunities, and we are investing in the tools, platforms and AI capability to use it better. As a Data Scientist , you will help us turn complex data into practical solutions that improve how we forecast demand, optimise workforce deployment and support better decisions across our roadside operation. This role is particularly focused on demand and supply forecasting, using machine learning to help ensure the right patrol capability is available in the right place at the right time. You will work on real operational challenges linked to national workforce planning, resource optimisation, customer demand, service levels and operational performance. We are looking for someone who enjoys solving complex, real-world problems with data. You may have gained experience in organisations with large field-based, mobile or nationally deployed workforces, such as logistics, delivery, utilities, transport, airlines, emergency services, mobility or roadside operations. You will bring strong analytical thinking, practical data science capability and the confidence to translate technical insight into meaningful recommendations that help the business make better operational decisions. What will I be doing? Build and deploy statistical models and machine learning solutions to support forecasting, product development, value driver analysis and operational performance. Use data mining, modelling and algorithmic approaches, including AI and LLM-enabled techniques where appropriate, to solve complex business problems. Work with data, engineering, architecture and AI Centre of Excellence colleagues to design and embed scalable algorithms into AA platforms, products and channels. Analyse trends, evaluate scenarios, assess risks and uncover insight that supports better business and customer outcomes. Explore, onboard and use relevant data sources, ensuring data is appropriate, reliable and aligned to good data governance practice. Communicate findings clearly through presentations, workshops and stakeholder conversations, translating technical insight into meaningful business recommendations. What do I need? We are looking for someone who can bring: Experience applying data science, machine learning or advanced analytics to demand forecasting, supply forecasting, workforce planning or operational optimisation. Strong capability in Python, SQL and statistical modelling, with experience building practical models that support business decision making. Experience working with complex operational data, ideally linked to mobile workforces, field operations, logistics, transport, delivery, utilities, emergency services, airlines, mobility or roadside operations. The ability to turn ambiguous operational challenges into clear analytical questions, scalable models and actionable recommendations. Strong communication skills, with the confidence to explain complex analysis clearly to technical and non-technical stakeholders. An understanding of responsible data use, data quality and governance, with exposure to Databricks, Git, Jira, ML Ops, feature stores or data pipelines being beneficial. Additional information We're always looking to recognise and reward our employees for the work they do. As a valued member of The AA team, you'll have access to a range of benefits including: 25 days annual leave plus bank holidays + holiday buying scheme Worksave pension scheme with up to 7% employer contribution Free AA breakdown membership from Day 1 plus 50% discount for family and friends Discounts on AA products including car and home insurance Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more Company funded life assurance Diverse learning and development opportunities to support you to progress in your career Dedicated Employee Assistance Programme and a 24/7 remote GP service for you and your family Plus, so much more! We're an equal opportunities employer and welcome applications from everyone. The AA values diversity and the difference this brings to our culture and our customers. We actively seek people from diverse backgrounds to join us and become part of an inclusive company where you can be yourself, be empowered to be your best and feel like you truly belong. We have five communities to bring together people with shared characteristics and backgrounds and drive positive change.

We are seeking an experienced Data Engineer to join our Group Technology team on a 9-month contract. You'll play a key role in delivering Connells Group Reporting Data, covering medallion architecture, data modelling, design, and pipelines. You'll work closely with technical specialists to innovate, share ideas and continually enhance team capability. Your work will support strategic decision making across the Group by delivering accurate, timely reporting for all brands and business units. We offer a hybrid working arrangement with 1 day per week in our Milton Keynes office. Key Responsibilities Apply best practices for data design, ensuring scalable, high quality and consistent architecture and modelling. Provide timely and accurate root cause analysis and resolution within SLA timeframes. Work with the Core Data Lead to build common data models for unified customer and property data. Collaborate with Enterprise Data Architect to define, develop and enhance the ingestion and modelling of source data across the medallion architecture - particularly for CRM data. Work within the overall data architecture, ensuring that it aligns with the business's data strategy, scalability and future requirements. Continuously optimise for improved data flow, accessibility and security. Design and develop data ingestion processes, integrating multiple data sources. Maintain the Common Data Model to ensure organisation wide consistency. Apply Agile principles for iterative and collaborative development. Ensure data pipeline quality, reliability and performance. Develop, test and implement monitoring to ensure effective operation. Support cross functional data projects, providing expertise as required. Deliver data solutions that support project goals and business outcomes. Proactively monitor systems and pipelines, identifying issues early and responding promptly to minimise project disruption. Experience & Skills Required Proven experience in Data Engineering, with strong hands on experience in Python, Data Modelling, Data Warehousing. Strong background in incident resolution, requests, changes and problem solving within SLAs. Hands on experience with Spark, Data Architecture, SQL and Delta Lake. Cloud development experience (AWS, GCP or Azure). Working knowledge of Medallion Architecture. Demonstrated capability in implementing and supporting pipelines in demanding environments. Strong communication skills and confidence presenting ideas and technical approaches. Willingness to learn, adopt and improve best practices and standards. Ability to work effectively in complex, high pressure environments using both legacy and modern technologies. Strong analytical thinking and attention to detail. Experience with Fabric, Azure, JIRA, Confluence, CI/CD, GitHub and Git Actions. Certifications in Data Engineering, Cloud, Data Modelling or Data Architecture. Experience with development lifecycle processes for data pipelines. Experience of CRM migration and development of single-view data models Please note that we are unfortunately unable to provide visa sponsorship for this position. Applicants must have the right to work in the UK. Connells Group UK is an equal opportunities employer and encourages applications from suitably qualified candidates regardless of sex, race, disability, age, sexual orientation, transgender status, religion or belief, marital status, or pregnancy and maternity.

Go back Hertfordshire Partnership University NHS Foundation Trust Data Architect & Engineering Lead The closing date is 26 July 2026 We are seeking an experienced and forward-thinking Data Architect and Engineering Lead to play a pivotal role in the development of a modern data platform, that underpins reporting, analytics, and decision-making across clinical and corporate services. The role will provide leadership for the Trust's data architecture, ensuring that high-quality, trusted data is available to support better patient outcomes, service improvement, and organisational performance. This role offers the opportunity to make a significant impact by combining technical leadership and transformation within an organisation where data is increasingly central to delivering high-quality healthcare services. Main duties of the job The Data Architect & Engineering Lead will: Oversee the design, build, and maintenance of the data platform, including storage, data movement, and transformation. Use data modelling and engineering skills to support operational systems, business intelligence, and analytics. Provide technical leadership and lead data engineers Produce and maintain high-quality documentation. About us Hertfordshire Partnership University NHS Foundation Trust are one of just five mental health trusts to achieve an overall rating of 'Outstanding' from the Care Quality Commission. Our family of over 4,500 members of staff provide health and social care for people with mental ill health, physical ill health and learning disabilities across Hertfordshire, Buckinghamshire, Essex and Norfolk, delivering these services within the community and several inpatient settings. Everything is underpinned by choice, independence and equality, with our Trust values embedded throughout: Welcoming. Kind. Positive. Respectful. Professional. Job description Job responsibilities Data Engineering Define and own the Trusts data architecture and engineering strategy, aligning with organizational priorities and digital transformation goals. Champion the adoption of modern data technologies (cloud, data lakes, streaming pipelines) to future-proof the Trusts architecture. Oversee the design, build, and maintenance of the enterprise data platform, ensuring resilience, scalability, and performance. Lead the integration of disparate clinical and operational systems into a unified warehouse Establish data quality standards for data ingestion, transformation, and storage, ensuring consistency across all pipelines. Ensure the data platform supports predictive modelling, AI/ML initiatives, and near real-time reporting Provide ongoing source of expertise in database design, development and maintenance of the data environment. Identify, report on and implement new techniques, tools and best practices where they will benefit the organisation. To maintain technical, professional and specialist knowledge and understanding and be competent in the use of a wide range of specialist software packages, including, but not limited to Microsoft SQL Server (including MSSQL, Reporting Services, Integration Services, Analytical Services) and Power BI. To specify and develop solutions that will drive automation and efficiency across data engineering processes. Interpret; analyse; investigate; and resolve complex data warehouse problems and evaluate and analyse a range of options to implement the most cost-effective solution to prevent reoccurrence of the problems. Skilled in data modelling techniques and tools to design, optimize, and manage data structures To create and maintain high quality documentation for all data warehouse and data engineering related processes. Able to document using approaches such as Entity Relationship diagrams, Data Flow Diagrams or Star Schema Diagrams Develop detailed technical designs, SOPs, and post-incident reports to support continuous improvement. Keep documentation up to date to minimise recurrence of issues and support future development. Analysing and Judgement Independently exercise sound judgment in complex situations, requiring thorough analysis, and interpretation of patterns and anomalies in data. Analyse, investigate and resolve complex data queries and data quality issues (e.g. missing data, erroneous data, inaccurate data translation) using in-depth knowledge and advanced analysis skills. Planning and Organising Responsible for planning, organising, and coordinating both their own work and the work of a direct report. The role will break down complex technical requirements into actionable tasks, define timelines and milestones, and proactively manage risks, dependencies, and resource needs. For instance, the delivery of the data models part of the Trust PowerBI reporting project. Ability to organise, prioritise and manage a complex, heavy workload. This will include the ability to adjust plans at short notice to reflect changing priorities for projects and programmes that impact across departments. Use proven organisational skills to influence and empower less experienced stakeholders in a project. Able to ensure timely, appropriate updates to managers and project managers, highlighting areas of concerns around meeting deadlines. Ability to delegate appropriately to ensure the team meets deadlines. To inform and make recommendations to support the digital deployment and roll out of project plans. Reporting Support the development of business intelligence (BI) reporting systems, ensuring solutions are efficient, scalable, and future proof. Lead the development of nationally mandated datasets, adhering to relevant standards and timelines. Implement changes to IM&T practices and procedures in response to evolving reporting requirements or identified data quality concerns. Stakeholder Collaboration Act as the senior authority on data architecture and engineering, advising stakeholders on opportunities and risks. Build strong partnerships with external suppliers (e.g., clinical system vendors) to facilitate seamless data integration. Negotiate technical requirements, SLAs, and compliance standards with third-party providers. Represent the Trust in external forums, ensuring alignment with industry best practices and regulatory frameworks. Consult with all relevant stakeholders to develop the trusts various data warehouses to meet the full range of clinical and operational needs, including near real-time as well as retrospective reporting. Act as a key technical advisor during digital transformation initiatives such as system migrations, upgrades and procurements. Communicate complex integration concepts to non-technical stakeholders, fostering shared understanding and trust. Person Specification Experience Essential Significant experience in data architecture and engineering leadership roles. Extensive experience in designing and delivering large scale data solutions. Experience of data modelling techniques and tools to design and manage data structures. Knowledge Essential Knowledge of data governance and data quality assurance. Experience of designing and implementing data quality frameworks. Proven experience of using Microsoft BI stack (SSIS), SQL Server and Reporting Services (SSRS, Power BI), Analytical Service (SSAS), Fabric. Desirable Knowledge of Mental Health Services. Knowledge of hospital information systems, particularly patient administration and clinical management systems. Qualifications Essential A master's degree or postgraduate qualification in a related technical discipline and / or equivalent professional experience. Educated to degree level in Computer Science, data engineering, or a related technical discipline; or equivalent experience working in complex corporate IT operational environments. Evidence of continued professional development. Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions. Employer details Employer name Hertfordshire Partnership University NHS Foundation Trust Address 99 Waverley Road 99 Waverley Road St Albans AL35TL United Kingdom Employer's website (Opens in a new tab) £59,798 to £67,020 a yearper annum pro rata (5% fringe HCAS included)

How will you make an impact? Software Development: Design and develop scalable, high-quality web applications Contribute to both front-end and back-end development Write clean, maintainable, and well-structured code following best practices Test Automation (Playwright Focus): Design, implement, and maintain end-to-end tests using Playwright Work alongside feature development to ensure testability is built in from the start Increase and maintain meaningful code coverage across applications Identify areas of risk and improve test reliability and coverage gaps Code Quality & Best Practice: Promote and apply TDD and automated testing principles Ensure code is reliable, testable, and aligned with SOLID principles Support improvements to testing frameworks, standards, and processes Team Collaboration & Knowledge Sharing: Work closely with engineers, designers, and stakeholders to deliver features Support and upskill the team in Playwright and automated testing techniques Share best practices through pairing, reviews, and informal sessions Contribute to building a quality-first engineering culture CI/CD & Tooling: Integrate automated tests into CI/CD pipelines Help improve test execution, reporting, and feedback loops Use tools such as Git and Azure DevOps (or similar) to manage delivery How will you experience success with us Strong experience with Playwright for end-to-end testing Proven track record of improving test coverage and evolving automation frameworks Solid software development background with: JavaScript / TypeScript Angular (or similar front-end frameworks) REST APIs C#, MVC, Python SQL / T-SQL Experience with unit testing, integration testing, and Test-Driven Development (TDD) Strong understanding of test architecture and maintainable test design Experience integrating automated tests into CI/CD pipelines Experience with code versioning tools such as Git and Azure DevOps (or similar) Knowledge of SOLID principles and common design patterns Familiarity with cloud platforms such as AWS, including messaging and deployment concepts Knowledge of Infrastructure as Code (IaC) tools such as AWS CDK, CloudFormation, or Terraform Awareness of security and data protection best practices How do we keep you smiling We are a great team at HQ, you will work alongside some of the most passionate people about Watches and technology We have a generous benefits scheme, including discounts and healthcare packages The chance to join aboard a business that is taking strides to introduce our product globally Sociable, friendly team! Your journey with us Our aim is to provide you a transparent interview process from the moment you apply for the role. It's important for us that you get to know us to ensure the role aligns to your future career objectives. We provide all candidates with open-door access to key people across the business so they can discuss opportunities, get a feel for our culture, and better understand how they can make an impact and be part of Watchfinder's exciting trajectory. Interview Process 1st Stage: A 'Let's Chat' conversation Initially, when your application is selected, you will receive an introduction call to explain the main points in terms of this position, and to have a chance to showcase your motivation. 2nd Stage: Interview with our Software Development Team Lead and QA Team Lead Final Stage: Meet with Software Development Manager and HR Business Partner Why work for Watchfinder? Firstly, what makes Watchfinder a great place to work is the people! Whether that be within your immediate team or across other areas of the business, there really is a family feel across the whole company. If personal growth and development is high on your priority list, then Watchfinder is the place for you. We've had numerous success stories throughout the business of our staff furthering and developing their careers, proving to be integral contributors to the company. To be part of this exciting journey, apply now!

Job Summary We are seeking a highly experienced Principal Software Engineer to lead the modernisation of our COBOL development ecosystem and Enterprise Server application replatforming products. The role is hands on, strategic, and involves designing, building, and evolving mission critical infrastructure used by global enterprises. Responsibilities Architect, design, and implement core components within our COBOL development tools, runtime environments, and mainframe replatforming infrastructure. Provide technical direction across multiple engineering teams building compilers, runtimes, middleware, and large scale distributed systems. Drive modernization strategies for legacy application ecosystems, including cloud migration, workload transformation, and hybrid deployment scenarios. Own complex technical domains end to end from design through production, balancing long term architecture with immediate product needs. Build highly reliable, scalable, and secure infrastructure software used in mission critical enterprise environments. Conduct deep code reviews, troubleshoot production issues, and mentor engineers in system level design and performance optimisation. Collaborate with product management to shape roadmap priorities and translate customer challenges into technical solutions. Work with System Test, DevOps, and release engineering to ensure high quality, low risk releases across a diverse product portfolio. Introduce and champion engineering excellence practices, including automated testing, performance benchmarking, observability, and maintainability. Qualifications 10+ years of professional software engineering experience, including leadership over complex, multi team technical initiatives. Deep expertise in systems level software development (compilers, runtimes, operating systems, or infrastructure level platforms). Strong background in mission critical, high availability software (e.g., financial services, telecom, government, or core enterprise platforms). Proven experience with COBOL, PL/I, C, or C++ (or willingness to dive into COBOL internals). Track record building or modernising enterprise grade tooling, middleware, or distributed systems. Ability to decompose legacy architectures, assess modernization paths, and design scalable solutions. Preferred: experience with mainframe to cloud migration, workload replatforming, or runtime compatibility layers. Familiarity with Azure, AWS, or hybrid cloud architectures. Understanding of static and dynamic language runtimes, compiler pipelines, and virtual machine internals. Prior technical mentorship or architectural leadership across multiple scrum teams. Strong diagnostic skills for debugging low level performance, memory, concurrency, or runtime issues. Benefits Impact large scale product design across multiple major portfolios, influence the future of mission critical modernization technologies, and work with a highly experienced engineering organisation. Equal Opportunity Employment Rocket Software Inc. is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status. Rocket is also committed to compliance with all fair employment practices regarding citizenship and immigration status. The company provides reasonable accommodation to individuals with physical or mental disabilities.