766 jobs found

Description Please note: we are offering this position as a fixed term contract. Who We Are Moneycorp powers global payments for corporates, institutions and high net worth individuals, combining worldwide reach with local expertise. With over 45 years of market experience, two banking licences and offices in 11 countries, our technology delivers 24/7 accessibility, while our people deliver award winning service. In 2024, we supported £79bn+ of international payments, reaching 190 countries in 130 currencies. Our 32k+ corporate clients benefit from our regulatory resilience with 63+ permissions globally, access to major payment rails, and proprietary technology. Moneycorp is a place where energy, commitment to our shared success, and collaboration are core to our values. We're restless in our drive to surpass the expectations of our customers and unlock opportunities to support them at every stage of their journey. The foundation of our success is our people, and nurturing a culture of belonging for all our colleagues is central to our journey as a global business. Who You Are / Your Next Challenge The Data Engineer plays a critical role in enabling Finance & Treasury to deliver accurate, timely, and insight driven reporting by building scalable data solutions, maintaining core data infrastructure, and supporting the modernisation of Finance systems. This role is responsible for engineering robust data pipelines, managing datasets across the Microsoft Fabric platform, and ensuring Finance has reliable, consistent, and governed data to support transformation, automation, and improved operational efficiency. As Finance undergoes significant change, the Data Engineer will be a key technical contributor-helping shape new ways of working, supporting system enhancements, and ensuring Finance is equipped with modern, resilient data capabilities. Role Responsibilities SQL, Data Extraction and Transformation Design, develop, and maintain SQL data structures within Microsoft Fabric, writing efficient SQL queries and Python based transformations to support scalable data pipelines and optimise performance across Lakehouse and Warehouse workloads. Build and maintain reporting datasets optimised for analytics and visualisation, implementing Slowly Changing Dimension (SCD Type 2) logic to support historical reporting and data accuracy. Ensure data security and integrity throughout the medallion architecture, enforcing access controls, auditing data changes, and ensuring accurate, consistent data is delivered. Develop and maintain Power BI semantic models and model layouts built on Microsoft Fabric Gold layer datasets, ensuring secure, performant, and well governed reporting models for dashboards and analytical consumption. Support the onboarding of new data sources into Microsoft Fabric by working with DevOps teams on secure connectivity, API integrations, and operational ingestion processes. Design and develop data pipelines and queries, for efficient data extraction and transformation. Write and maintain production level code to support lead management and Finance systems, ensuring scalability, performance, and reliability. Development and maintenance of complex datasets needed for reports, dashboards, and visualisations. Troubleshoot database related issues. Monitor and optimise database performance, identifying and resolving bottlenecks and inefficiencies. Conduct regular reviews of SQL code and queries for performance improvements. Ensure data security and integrity. Stay updated with the latest database technologies and best practices. Data Warehouse Implement best practices for data modelling, ETL processes, and data integration. Optimise data warehouse performance through efficient query design, indexing strategies, and data partitioning. Stay updated on emerging trends and technologies in data management and analytics and evaluate their potential impact on our data warehouse architecture. Finance System Infrastructure Support configuration changes as needed to meet Finance & Business requirements. Take ownership of upgrade processes including testing and configuration changes, ensuring the current system is fit for purpose for Finance users. Facilitating with the implementation of the new functionality arising from the upgraded software. What we're looking for: Essential Extensive SQL experience: Working with relational databases (e.g., SQL Server, Oracle, MySQL). Strong proficiency in SQL, T SQL and SparkSQL. Proven background as a SQL Analyst / Developer or Data Engineer. Experience working with structured and unstructured data sources. Experience writing stored procedures and production level data transformation code.li> Previous experience of working in a fast paced environment. Knowledge of software development best practices. Strong analytical mind, excellent attention to detail. Good interpersonal and communication skills both written and verbal. Good analytical abilities, with an enquiring mind. Robust, capable of clearly and strongly articulating position. Desirable Hands on experience with Microsoft Fabric. Advance development experience, most notably with programming languages such as python. Power BI model development and semantic modelling. API setup/testing experience (e.g., Postman). Experience with cloud platforms and modern data architectures. Experience within financial services or regulated environments. Advanced Excel skills. Education: Bachelor's degree in Computer Science, Information Systems, STEM, or related field. Certifications in Python, PySpark, or cloud technologies are desirable but not essential. What you get in return: This role offers a competitive salary, plus a benefits package including private medical health insurance. Diversity and Inclusion Moneycorp is proud to be an Equal Opportunity employer. Across our Group, Moneycorp maintains a philosophy that an inclusive company culture inspires creativity, fosters a sense of belonging, and is imperative to both personal and professional growth. With a makeup of 47 percent female employees, Moneycorp has a remarkably diverse workforce. Our commitment to inclusion and opportunity continues to evolve and improve as we listen and engage with our diverse teams. Equal Employment Opportunity Statement All qualified applicants will receive consideration for employment without regard to age, colour, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, political affiliation, status as an individual with a physical or mental disability status as an individual with a protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Company Statement on Diversity Moneycorp believes that diversity is critical to our success in helping Corporate and Private Clients with their FX and International Payments requirements across the world and is committed to creating an inclusive, mutually respectful environment which celebrates diversity. We hire on the basis of talent, merit, competence, performance, and business needs.

Gearset is the leading DevOps platform for Salesforce - our users can build and manage many aspects of their Salesforce development from within Gearset, from complex CI/CD pipelines to disaster recovery. The Gearset platform is a standalone tool that sits outside of the Salesforce platform, integrating via public APIs only. So while our engineering team doesn't develop within the Salesforce environment, our users do. So we work closely with those domain experts to build novel solutions to the unique challenges they face, enabling them to make their Salesforce changes quickly and safely. We live and breathe this approach ourselves: we release new versions of Gearset multiple times a day and we continually invest in improving our own observability and infrastructure tools. This means we can identify and react to issues quickly and delight our users by getting improvements to them as fast as possible. As a product-driven company founded by engineers, we know the value of a great engineering culture, teamwork and tight feedback loops. We're confident in our product, market potential, and we have big plans for the future. Engineering is mostly split between offices in Cambridge and Belfast, check out this video to see what it's like to start as an engineer at Gearset. What are the opportunities for a Mid-Level Software Engineer at Gearset? Our small engineering teams start from a few core principles but evolve over time. They all work a little bit differently, depending on their preferences and the problem they're working on. You'll impact what we build, as well as how we build it. A great team does their best work with context and feedback - there's no substitute for talking directly with the people impacted by our work. Engineers work across the business and talk directly to customers and partners, to ensure we're solving the most pressing problems. Our tech stack includes C#, Java, React, TypeScript, Postgres, AWS and Kubernetes. You'll become familiar with our pragmatically chosen stack, but you'll also help us define what great looks like. What you'll achieve Enhance and extend existing features, and collaborate with the rest of the development team to spec, design and build new features end-to-end. Share your expertise and learn from a diverse team, fostering a culture of collaboration and continuous growth. Engage directly with users-understanding their challenges, gathering feedback, and shaping features that truly make a difference. Contribute opinions on a range of topics, from development practices to product strategy and roadmap, to impact business decisions. About you A pragmatic approach to working, prioritising iteration and delivering value to customers, over process and deliberation Previous experience as a full-stack engineer A passion for learning and continual improvement, being comfortable giving and receiving constructive feedback to make your work even better You can read more about our engineering values here. Great to haves Familiarity with C#/.NET or Java, JavaScript/TypeScript and React Expertise with an OOP language (eg., C++) and a modern JS framework (eg. Angular, Vue.js) Proficiency in working on a distributed, cloud hosted product with rapid release cycles Experience working directly with customers Experience working in an agile development team, where you've delivered incremental small slices, and are comfortable with reacting to meet user needs We believe that diverse teams perform better, so if your experience doesn't fit perfectly or you don't meet every single requirement but you're excited about this role, we'd love for you to apply anyway. Salary and benefits (the stuff you'd expect!) Salary is £41k - £59k, depending on experience This is a full time opportunity, working Monday to Friday with the option of flexible home working (for most of us that looks like 2-3 days a week in the office) Generous personal development budget for courses, conferences, or whatever is useful to your professional development in the role of up to £1500 per year Top end hardware provided Opportunity to join our Long Term Incentive scheme Free lunch in the office 25 days holiday plus bank holidays (with the option to buy an extra 5 each year) Company Pension Plan (matching up to 5%) Bupa health care Life Insurance & critical illness cover Discounted gym membership, as well as a range of health and wellness benefits

At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you're passionate about developing your career, while helping others along the way, come join the Broadridge team. Responsibilities: Works within and across teams to design, develop, test, implement, and support technical solutions across a full-stack of development tools and technologies. Translates business requirements into technical designs, considering automation, availability, performance, scale and cost. Ensures technical & security best practices along with Broadridge standards are adhered to in the design of technical infrastructure Participates in technical design sessions and works closely with multiple teams, including application development teams, infrastructure teams, vendors, and clients, if needed, to review the infrastructure designs for new projects. Delivers high quality technical infrastructure, on-time, following Broadridge processes. Automates the implementation and operational support of the infrastructure. Provides estimates of all priority and non-priority projects along with recommended scope or schedule changes based on capacity and unforeseen challenges. Participates in technical implementation to ensure the quality of the infrastructure, automation and the overall productivity of the SRE (Service Reliability Engineering) team. Tracks Service Level Indicators (SLI) to ensure the health of technical infrastructure and Broadridge services. Troubleshoots production issues affecting Broadridge services as needed, taking appropriate corrective actions. Conducts preventative maintenance to ensure capacity, scaling, security and availability of Broadridge services. Understands dependencies between infrastructure components, vendor software, custom software and other parts of the processing stack that support Broadridge Services Collaborates with peers and other technical teams, such as development teams, architecture, database teams, storage teams, server teams, security teams to prevent and shorten production incidents. Defines Service Level Objectives (SLOs) for Broadridge Services Implements additional operational improvements for automation, monitoring and incident management to increase the reliability of Broadridge services. Guides more junior associates through established processes. Requirements 5-7+ years of experience with commercial service infrastructure at both a software and infrastructure level Functional skills - System Design and Architecture, DevOps / Deployment automation, Troubleshooting, Service Monitoring. Passionate teammate who understands and respects personal & cultural differences Ability to work under pressure and be highly adaptable Strong written and communications skills for collaboration with various teams and upper management Solid analytical skills, especially in area of translating business requirements into technical design - with a continuous focus on aligning technical roadmap with the immediate and long-term Business strategy Able to adapt and embrace change and support business strategy and vision. Knowledge of next-generation design patterns/architecture like micro-services, layered pattern, cloud. Strong aptitude for learning new skills and new technologies. Preferred Qualifications: Bachelor's degree in computer science, computer engineering, or in a related field. 5-7+ years of experience within a programming and application system environment, with solid experience and a working knowledge in the following technologies: + OS: Linux, Windows + Automation: Terraform, Bladelogic, Chef, Jenkins, Ansible + Cloud: AWS, Azure + Scripting: Powershell, Perl, Shell Scripts Hybrid Flexible at Broadridge We are made up of high-performing teams that meet in person to learn and collaborate as needed. This role is considered hybrid, which means you'll be assigned to a Broadridge office. are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company-and ultimately a community-that recognizes and celebrates everyone's unique perspective. Use of AI in Hiring As part of the recruiting process, Broadridge may use technology, including artificial intelligence (AI)-based tools, to help review and evaluate applications. These tools are used only to support our recruiters and hiring managers, and all employment decisions include human review to ensure fairness, accuracy, and compliance with applicable laws. Please note that honesty and transparency are critical to our hiring process. Any attempt to falsify, misrepresent, or disguise information in an application, resume, assessment, or interview will result in disqualification from consideration.We are seeking a Sr. Site Reliability Engineer to design, build, automate, and support reliable technical infrastructure that powers Broadridge services. In this role, you'll translate business requirements into technical designs that balance availability, performance, scale, and cost , while applying security and technical best practices and partnering across multiple teams.

Senior AI Software Engineer Employment Type: Contract Duration: 12 Months Location: Berkshire, England (1 day per month onsite) Umbrella Rate: £600-£700/day Opportunity Overview We are working with a large, technology-driven organisation seeking a Senior Software Product Engineer to join its Shared Services function. This role will focus on expanding and enhancing Amazon Connect capabilities, delivering innovative contact centre solutions that provide measurable value across the wider business. You will collaborate with established engineering teams to design, build and support scalable, cloud-native services. Working primarily within the AWS ecosystem, you will play a key role in accelerating stakeholder objectives through robust, sustainable technology solutions. Key Responsibilities Design, develop and maintain software solutions leveraging AWS services including Amazon Connect, Amazon Lex, AWS Lambda and Large Language Models (LLMs). Collaborate with cross-functional teams to integrate new capabilities into contact centre platforms. Produce clean, efficient and maintainable code using TypeScript, modern JavaScript frameworks and Python. Champion DevOps best practice, including CI/CD pipelines, automated testing and infrastructure as code. Lead and contribute to code reviews, ensuring high standards of quality and engineering excellence. Troubleshoot and resolve complex technical issues across multiple layers of the technology stack. Stay informed of emerging technologies and industry trends to ensure solutions remain innovative and sustainable. Essential Skills and Experience Demonstrable experience operating at Senior Software Engineer level or above. Strong hands-on expertise with AWS services, particularly Amazon Connect, Contact Flows, IVR and Amazon Lex. Proficiency in TypeScript, modern JavaScript frameworks and Python. Solid understanding of DevOps principles and tooling, including CI/CD, serverless architectures and monitoring solutions. Experience integrating and supporting contact centre technologies. Strong analytical and problem solving capabilities. Excellent written and verbal communication skills, with the ability to work both independently and collaboratively. What's on Offer Opportunity to shape and enhance enterprise scale contact centre capabilities. Exposure to modern AWS technologies and AI driven solutions. A collaborative engineering environment with a strong focus on quality and best practice. Competitive salary and benefits package. Application Process To express interest in this opportunity, please submit your CV for consideration. Further details will be shared with shortlisted applicants.

Summary The AI Innovation and Solutions (AIS) team operates with the speed and spirit of a startup, focused on rapidly prototyping and building production-grade, cloud-native AI applications that integrate cutting-edge AI capabilities to directly address the critical needs of our businesses. Our primary goal is to demonstrate the transformative potential of AI within the firm through accelerated application delivery, rapidly deploying impactful solutions, and then seamlessly transferring the application code, cloud integration patterns, robust data models, and operational knowledge to respective business and engineering teams. This hands-on engineering role is pivotal in shaping the future of AI adoption at Goldman Sachs by building reliable, highly scalable, cloud-optimized AI-powered products and fostering a culture of innovation and rapid, continuous delivery. Key Responsibilities Rapid Prototyping & Application Development: Lead the end-to-end development of applications that integrate and leverage AI/ML models, from architectural design, data schema design, data pipeline construction, and rapid prototyping to initial deployment and operationalization, utilizing cloud-native services (e.g., serverless, containerization, managed AI/ML platforms) and CI/CD pipelines for accelerated delivery. Implement robust MLOps practices to streamline model deployment, monitoring, and lifecycle management in cloud environments, including data versioning, feature store integration, and data pipeline management. Business Partnership & Solution Architecture: Collaborate closely with business and engineering teams to deeply understand their challenges and customer needs, identify high-impact opportunities to integrate AI capabilities into applications, and translate business requirements into robust cloud-optimized application architectures, scalable data models, and technical specifications for AI-powered solutions, considering scalability, cost-efficiency, security, and data governance principles. Solution Implementation & Delivery: Architect, implement, and deliver scalable, robust, and maintainable cloud-native AI applications that consume and operationalize AI solutions based on defined technical specifications and architectures, ensuring seamless integration with existing systems and workflows within the Goldman Sachs ecosystem. Apply strong software engineering principles, data modeling best practices (e.g., relational, NoSQL, graph), DevOps/MLOps best practices, and cloud security standards. Drive automation of deployment, testing, and monitoring processes to ensure rapid and reliable delivery of AI applications. Knowledge Transfer & Enablement: Facilitate effective knowledge transfer through comprehensive documentation, training sessions, mentorship, and pair-programming, empowering receiving teams to take ownership and continue the development and maintenance of AI-powered applications. Technology & Innovation Leadership: Stay abreast of the latest advancements in application development, system integration, AI/ML technologies, data management platforms, and operational best practices, continuously evaluating and recommending new tools, techniques, and architectural patterns to drive innovation in AI application delivery. Qualifications Bachelor's or Master's degree in Computer Science, Software Engineering, or a related quantitative field. 5+ years of hands-on software engineering experience, with a proven track record of building and deploying robust applications, and significant experience integrating AI/ML models. Demonstrated experience building and deploying end-to-end applications that leverage LLMs and related frameworks. This includes experience with prompt engineering, API integration, and working with agentic frameworks. Strong proficiency in programming languages such as Python, Java, or Go, along with experience integrating with relevant AI/ML frameworks (e.g., TensorFlow, PyTorch). Proven ability to translate complex business requirements into well-defined, cloud-optimized application architectures, scalable data models (e.g., relational, NoSQL, graph), and technical specifications for AI-powered systems, and to subsequently implement and accelerate delivery of robust, production-ready systems based on these designs. Extensive experience with major cloud platforms (e.g., AWS, Azure, GCP), including cloud-native services (serverless, containerization, managed AI/ML platforms), and a strong command of DevOps/MLOps best practices for automated deployment, monitoring, lifecycle management, data pipeline orchestration, and cloud security standards. Excellent communication capabilities, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders across all levels of the organization. Strong collaboration and interpersonal skills, with a passion for mentoring and enabling others. Proven ability to lead or significantly contribute to cross-functional projects. Productionize LLMs: Build evaluation framework for open-source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self-correction loops tailored to production operations Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post-incident summarization with full traceability Collaborate directly with users: Partner with production engineers, and application teams to translate production pain points into agentic AI roadmaps; define objective functions linked to reliability, risk reduction, and cost; and deliver auditable, business-aligned outcomes Scale and performance: Optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation; leverage batching, streaming, and parallel tool-calls to meet stringent SLOs under real-world load Build agentic AI systems: Design and implement tool-calling agents that combine retrieval, structured reasoning, and secure action execution (function calling, change orchestration, policy enforcement) following MCP protocol Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post-incident summarization with full traceability About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Share pages with your social network (twitter) guest\_id, k, \_twitter\_sess, original\_referer (facebook) datr, lu (g+1) PREF, SID, HSID, SSID TribePad - this allows you to login to our social recruitment management platform trackerToken-4 - this is similar to Google Analytics but specifically allows us to determine which of our marketing activities from which you found our website. visitToken-4 - this is similar to Google Analytics but specifically allows us to determine which of our marketing activities from which you found our website. youWantTheCookie remember your preferences (such as language); monitor the general performance of our visitors' experience when on our website - this information then allows us to improve the usability of our website for you and all our other visitors; store essential information to allow you to register and/or login to our site; allow you to share any of our website's pages with your social networks - but only if you explicitly choose to. Google Analytics Description Google Analytics is a web analytics service provided by Google, Inc. ("Google"), to help us see how our website is used. The data collected by Google Analytics is used to analyse how frequently the same people revisit the website, how the website is found (for example, from a search engine or from a job board), and which pages are most (and least) frequently viewed. This information is combined with data from every visitor to create an overall picture of website use, and is never identified individually or personally and is not linked to any other information we store about you. Google features for generating maps and CAPTCHA images Lead Software Engineer page is loaded Lead Software Engineerlocations: Sheffieldtime type: Full timeposted on: Posted Todayjob requisition id: R08239 Your role What you'll be doing What We Need Corpay is currently looking to hire talented engineers to join us on a fantastic journey and help us to build great applications and services across the r2cOnline and 1link product ecosystem.We work in partnership with the business to implement awesome products, using technologies such as: React JS, ASP.NET and .Net Core, SQL Server, Mulesoft, Azure and we're also starting our journey into serverless through AWS starting having already started to utilise Kubernetes and Docker to allow us to decompose some of our existing technology as a first stage in re-architecting.You will collaborate closely with other Software Engineers and Designers across multiple platforms and technologies to craft a beautiful application ecosystem that is consistent, highly useable, and reliable and performant. You will also be a part of our local communities of practice to help identify new technologies which could be used to help us gain a competitive advantage in the dynamic payments industry. How We Work As a Software Engineer, you will be expected to work in a hybrid environment based in our Sheffield office. Corpay will set you up for success by providing:• Assigned office workspace and home office setup • Company-issued equipment • Formal, hands-on training Role Responsibilities The responsibilities of the role will include:• Design and architect product building blocks to help us make r2conline as well integrated and as easy to Integrate as possible • Help drive alignment with the architectural roadmap • Work collaboratively and be an active contributor to continuous improvement within a team, providing honest and open feedback based on your experience • Be an active contributor to our Engineering community • Mentor and coach our software engineers • Maintaining a productive working environment for development teams • Recruiting to support growing and ongoing team needs • Work collaboratively and be an active contributor to continuous improvement within a team, providing honest and open feedback based on your experience • Be an active contributor to the execution of our Digital and Technology strategy • Provide technical thought leadership to leadership • Design and implement smart ways of storing and displaying complex data • Write excellent and extensible code, adhering to coding and commenting standards, while following best practice • Build reusable components wherever possible • Take a TDD and BDD approach to writing code • Support our Product Owners by advising on the practicability of solution alternatives marrying up technical limitations with operational realities and providing recommendations • Undertake all roles required as a part of an agile development team to design, build and deploy applications in line with business needs and priorities • Introduce AI-driven enhancements where they deliver measurable value Qualifications & Skills • Familiarity of new technologies and know where it's appropriate to use them • Demonstrable experience in software development within a SaaS oriented development environment • Ability to think iteratively and in terms of architectural boundaries • Track record in delivering agile development of software using the appropriate tools • Clear understanding and experience of DevOps and why its beneficial to development teams • Exposure to DevSecOps • Experience of AWS native services Beneficial • Experience with working with micro services (we use Azure FaaS and .NET Core and now starting to utilise native AWS Services in our newer architectures.) • Experience and understanding in using development tools, such as Azure Devops, Confluence and GitHub • Experience of Azure • Experience of Driving AI-assisted engineering practices Behaviours Needed • Recognises the importance of the customer through gaining feedback and using it as a basis for decision making. Shares key findings with colleagues and great stories of exceptional customer service • Takes responsibility, owns the issue and resolves it through identifying and working with the relevant individuals • Coaches and provides technical leadership to less experienced team members • Reflects constructively and remains positive when faced with setbacks and continues to work towards a solution. Considers the impact of decisions and reviews decision as required • Takes advantage of every opportunity to communicate relevant information remaining mindful of the audience (e.g. translates complex/technical issues to meet the audience's competency level) • Developing professional and effective working relationships with internal teams and partner suppliers is essential. Our sprint teams are built upon trusting and supportive relationships • Continuous Improvement Demonstrate the ability to identify opportunities to improve and act on those opportunities through personal, team and process improvement Tools & Technologies • VS.Code, VS.NET, Rider, Resharper • Jira • Back end .NET (C#, ASP.NET), REST/SOAP services delivered by WebAPI • Web front end - JQuery, Bootstrap, JavaScript ES6, HTML, CSS, Styled Components, JSX, React.js, Redux, JWT, Storybook, Unit testing with Jest and Enzyme • Cloud: Azure FaaS, CosmoDB, AWS (Multiple services in use.) • Sonar Qube • SQL Server • Source control - TFS, ADO and Git • Dapper, Log4Net • AutoFac, MSTest • CI /CD - ADO & Octopus Deploy • Variety of test tools and automation frameworks (TFS, MTM, SpecFlow, Selenium WebDriver, JMeter, Guerkin etc) Working Relationships Other software engineers and designers, coaching other team members Career Path We are passionate about learning and development and have a continual programme running creating opportunities to train, learn new things and also move into other roles if the individual wishes.This role starts out with the goal of building stronger engineering capabilities for the individual and developing into a highly autonomous software

About Scrumconnect Scrumconnect Consulting is a UK-based digital transformation consultancy delivering agile, secure technology solutions for public and private sector clients. This is a fully remote role based in India, supporting our UK operations and client base. You will work closely with our UK leadership team and must be comfortable operating within UK regulatory and legal frameworks. About the role As a Senior Technical Architect, you will lead the design and assurance of technical architecture across digital services. You will work across multiple teams, ensuring solutions are aligned with agreed standards and principles. This role combines deep technical expertise with leadership - guiding teams through complex challenges, supporting architectural decision-making, and ensuring long-term sustainability of systems. Hybrid working Based in Newcastle upon Tyne with three days per week on-site. Remaining days may be worked remotely. Key responsibilities Architecture leadership Lead the design and assurance of technical architectures across services. Provide guidance on key architectural decisions and trade-offs. Standards & patterns Define and promote technical standards, patterns, and best practices to ensure consistency and reuse across systems. Mentoring & capability Mentor architects and senior engineers, helping to build technical capability across teams and the wider organisation. Risk & opportunity Identify cross-cutting risks and opportunities, ensuring alignment with organisational and programme-level strategy. Governance & assurance Support architectural governance, reviews, and assurance processes to ensure solutions meet long-term needs. Strategic alignment Ensure technical architecture aligns with broader organisational and digital strategy while driving continuous improvement Skills and experience required Strong experience in senior technical architecture roles (public sector preferred) Proven ability to design and govern complex technical solutions Deep understanding of modern application and integration architectures Experience with cloud platforms (AWS and/or Azure) Ability to lead architectural decision-making across multiple teams Strong stakeholder engagement and communication skills Experience working in Agile delivery environments Prior public sector experience - essential Desirable Experience working across large or complex organisations Familiarity with DevOps, CI/CD, and cloud-native delivery models Experience contributing to architecture governance and assurance Ability to work effectively in a hybrid working environment Diversity and Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an inclusive environment where every individual is respected, valued, and supported. We welcome applications from candidates of all backgrounds and experiences, and we actively encourage applications from women, people with disabilities, under-represented communities, and those seeking flexible working arrangements.

About Scrumconnect Scrumconnect Consulting is a UK-based digital transformation consultancy delivering agile, secure technology solutions for public and private sector clients. This is a fully remote role based in India, supporting our UK operations and client base. You will work closely with our UK leadership team and must be comfortable operating within UK regulatory and legal frameworks. About the Role We are looking for a Test Engineer to join a large-scale cloud data engineering programme, operating across a modern AWS-native technology stack including Apache Airflow, Amazon Athena, AWS Glue, S3, EMR, and DynamoDB. You will own testing across automated pipelines, data workflows, and cloud infrastructure - identifying risks, championing test frameworks, and coaching colleagues in quality engineering practices. This is a hands-on, technically deep role. You will write code, build and extend test frameworks, and take accountability for test quality across releases, while actively mentoring junior team members. Key Responsibilities Automated Testing Design, implement, and maintain automated test suites across data pipelines, cloud services, and applications Automate data and application testing tasks and build test coverage using existing or new infrastructure Risk Identification & Reporting Identify and raise awareness of risks arising from automated test results Analyse and report on test activities, results, issues, and risks Translate technical findings into clear, prioritised communication Framework Development Identify, evaluate, and implement new test frameworks Enhance existing frameworks to improve testing confidence and coverage Pipeline & Data Testing Validate data pipelines using Apache Airflow, AWS Glue, Athena, and EMR Ensure data integrity, transformation accuracy, and performance under load Analyse data in multiple formats to validate new functionality Perform production data analysis to identify root causes of issues Mentoring & Coaching Mentor and advise team members on testing best practices Contribute to a quality-first engineering culture CI/CD & DevOps Integrate and manage automated tests within GitLab CI/CD pipelines Ensure automated execution and fast feedback loops Technology Stack Apache Airflow, Amazon Athena, AWS S3, AWS Glue, AWS EMR, AWS EC2, AWS ECR, AWS DynamoDB, AWS CloudWatch, AWS IAM, Python, Java, SQL, Bash, GitLab CI/CD, Jupyter Notebooks, Apache Spark, Terraform, Docker Key Skills Strong proficiency in Python, Java, SQL, and Scripting (eg, Bash) Experience with Apache Airflow for orchestration and log analysis Hands-on experience with AWS services (S3, Glue, Athena, EMR, CloudWatch, IAM, DynamoDB, EC2, ECR) Experience using GitLab and GitLab CI/CD pipelines Ability to analyse data using Jupyter Notebooks and Amazon Athena Understanding of Apache Spark and EMR (basic to intermediate) Experience with infrastructure as code (Terraform) Familiarity with Docker and containerization Knowledge of Server Side and client-side encryption Understanding of dimensional data models and slowly changing dimensions Experience in data creation/generation for testing Strong analytical skills for validating data and identifying issues Ability to understand how customer requirements translate into functional solutions Skills & Experience Required Proven experience as a Test Engineer or QA Engineer in cloud/data environments Strong Python skills for automation, data validation, and test development Experience testing data pipelines (data quality, transformation, performance) Experience designing or extending automated test frameworks Strong problem-solving and root cause analysis skills Ability to clearly communicate risks to technical and non-technical stakeholders Experience mentoring or coaching junior engineers SFIA Level 4 capability - works autonomously and influences others Active SC clearance (mandatory) Diversity and Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an inclusive environment where every individual is respected, valued, and supported. We welcome applications from candidates of all backgrounds and experiences.

About Scrumconnect Consulting: Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. With a strong commitment to user-centred design and agile delivery, and more to deliver innovative digital services that matter Role Overview: We are seeking an experienced Technical Architect with strong expertise in GDS Service Assessments and Technical Communities of Practice (TCoP). The role involves leading architectural design, ensuring compliance with GDS standards, and supporting digital services through assessment phases. Key Responsibilities: Lead end-to-end architecture design for digital services in line with GDS standards Guide teams through GDS Service Assessments (Alpha, Beta, Live) Define and implement scalable, secure, and resilient architecture solutions Provide technical leadership across multiple Agile delivery teams Contribute to and lead Technical Community of Practice (TCoP) initiatives Establish best practices, standards, and governance frameworks Collaborate with product, delivery, and engineering teams to ensure successful outcomes Conduct architecture reviews and ensure compliance with security and accessibility standards Mentor engineers and promote knowledge sharing across teams Key Skills & Experience: Strong experience as a Technical Architect within public sector or GDS-aligned environments Proven track record of successfully supporting GDS Service Assessments Experience working within or leading Technical Communities of Practice (TCoP) Hands-on experience with cloud platforms (AWS/Azure/GCP) Solid understanding of microservices, APIs, and modern architecture patterns Experience with DevOps practices, CI/CD, and infrastructure as code Strong stakeholder management and communication skills Desirable Skills: Experience in large-scale digital transformation programmes Knowledge of security, accessibility (WCAG), and data protection standards Familiarity with Agile, Scrum, or SAFe methodologies

Join the Growth Story at Envitia Envitia operates at the heart of the UK's most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We're thrilled to announce that Envitia has been named one of the Sunday Times Top 100 Medium-Sized Companies to Work For in 2025-a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Data Engineer to join our Security and Intelligence consulting team, who will be responsible for designing, building and maintaining secure, scalable data platforms and pipelines that enable advanced analytics and operational intelligence capabilities. The role focuses on engineering robust data architectures capable of ingesting, processing and distributing large-scale datasets, supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production grade data solutions. Typical engagements include: Engineering large scale data ingestion and processing pipelines Designing data lakes and distributed data platforms Enabling analytics and AI/ML workloads Supporting intelligence data exploitation workflows Integrating multiple classified data sources across secure environments Job Responsibilities Design, build and maintain secure, scalable data platforms capable of processing large volumes of operational data. Develop and operate robust data lakes and distributed data processing environments within secure or regulated settings. Engineer high performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems. Design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use. Build scalable, distributed data processing solutions using modern big data and parallel processing technologies. Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms. Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes. Optimise data storage and processing architectures to support high performance analytical environments. Contribute to DevSecOps and cloud native delivery, including automated deployment, infrastructure provisioning and containerised environments. Support the ongoing operation, observability and resilience of production data platforms. Skills Required Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL. Hands on experience building and operating large scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop). Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools. Experience working with cloud native data platforms, with strong expertise in AWS and native data services. Familiarity with Infrastructure as Code and modern cloud native data architectures. Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, and observability/monitoring tooling. Ability to work directly with stakeholders to understand data requirements and translate them into robust, scalable data engineering solutions. Comfortable working in secure, regulated or constrained environments, delivering solutions within complex operational settings. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations - Gloucester, London, Manchester (based on project requirements). What's in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well being. More time for you:Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most. Private Medical Insurance:We've got you covered with comprehensive private healthcare, including family options for added peace of mind. Security Clearance Bonus:Up to £5,000 year Career growth that keeps you ahead:We invest in your future with ongoing training and development, so you're always learning, growing and staying ahead of the curve. Wellness that works for you:Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness-related expenses. Life Assurance:Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present. Smarter Retirement Planning:Plan for your future with our pension options and resources to help build a secure financial foundation. Perkbox:Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services. Recognition that counts:Great work doesn't go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine. Give back and get involved:Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work life balance. If you require any accommodations during the application or interview process, please let us know.

AI Engineer - Agentic AI (Training & Enablement) Who we are:We deliver powerful data and AI solutions that minimize operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Incredible minds from all backgrounds are trained to become part of a diverse team of experts. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today's leading technology providers - such as Databricks, Snowflake and Collibra - delivery As an AI Engineer (Agentic AI) within our AI Engineering Training & Enablement capability, you will play a hands on role in developing, testing, and evolving agentic AI systems while contributing to the development and delivery of high quality technical training. This is a learning focused engineering role, combining practical AI engineering with the ability to contribute and deliver training labs, exercises, and technical artefacts that underpin our training offer. You will act as a technical contributor and subject matter specialist, supporting trainers, learners, and-where appropriate-commercial or client facing teams by demonstrating the real world credibility of our AI engineering practices. Key Responsibilities Agentic AI Engineering & Practical Enablement Design, build, and maintain diverse AI systems, ranging from classical machine learning pipelines to advanced agentic AI architectures (tool using agents, RAG, orchestration). Develop production ready reference implementations that demonstrate best practices in software engineering, including testing, version control, and CI/CD for AI applications. Create and maintain robust engineering environments, including containerised setups and cloud infrastructure, to support technical enablement and experimentation. Act as a subject matter expert on the full AI lifecycle, providing technical guidance on data preparation, model training, MLOps, and deployment strategies. Experiment with new agentic patterns, tools, and frameworks and translate learnings into practical training artefacts. Training Delivery & Learner Support Lead technical sessions and workshops covering the full spectrum of AI engineering, from foundational Python and statistics to deep learning and Generative AI. Mentor junior engineers and consultants, helping them debug complex issues across data pipelines, infrastructure configuration, and model development. Continuously refine technical artefacts and exercises to ensure they reflect current industry standards and realistic enterprise challenges. Engineering Standards, Evaluation & Responsible AI Embed evaluation practices into agentic AI builds, including benchmarking, regression testing, and failure mode inspection. Contribute to responsible AI patterns within training content (data boundaries, permissions, guardrails). Ensure training artefacts reflect modern engineering standards and realistic enterprise constraints. Collaboration & Capability Development Work closely with trainers, architects, and senior engineers to align training content with best practice. Contribute to internal policy and standards documentation, knowledge sharing, and centres of excellence. Support onboarding and enablement of new trainers or engineers. Lead internal demos, showcases, or events highlighting agentic AI capability. Key Requirements Experience 3-6+ years in software engineering, Data Science, or Machine Learning Engineering roles, with a track record of building and deploying production systems. Technical Skills Core Engineering: Expert proficiency in Python (writing modular, production quality code) and strong working knowledge of SQL and database design. Maths & Statistics: Strong grasp of probability theory, statistical analysis, and linear algebra, with the ability to apply these concepts to real world data problems. Classical Machine Learning: Deep practical knowledge of standard ML algorithms (regression, classification, clustering, ensemble methods) and libraries (scikit learn, pandas). Infrastructure & Containers: Hands on experience with containerisation (Docker) and orchestration (Kubernetes), including how to package and run AI applications in these environments. MLOps & Deployment: Proficiency with MLOps frameworks (specifically MLflow) for experiment tracking and model lifecycle management, as well as experience deploying models as APIs (FastAPI/Flask). Generative AI: Experience building applications with LLMs, including prompt engineering, RAG architectures, and vector databases. Rapid Prototyping: Proficiency in guiding AI coding assistants to rapidly generate and refine functional web interfaces (e.g., Streamlit, React) for agentic demos. Cloud Platforms: Proven experience developing and deploying AI solutions on Azure (specifically Azure ML and Cognitive Services) or equivalent AWS/GCP services. DevOps: Familiarity with modern DevOps practices, including Git based workflows and CI/CD pipelines (e.g., GitHub Actions, Azure DevOps). Agile Product Delivery: Familiarity with agile product delivery and requirements engineering practices. Ways of Working A genuine passion for upskilling others, with a patient and collaborative approach to code reviews and technical problem solving. Exceptional ability to explain complex engineering and mathematical concepts to audiences with varying levels of technical expertise. Collaborative approach suited to a team oriented, learning focused environment. Self directed and proactive - the ability to navigate uncertainty and ambiguity with business and technical stakeholders to co create value.