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Background \n Independence Capital (“IC”) are a hybrid private equity & advisory firm specialising in developing new management-led buy-build groups. IC commonly enable teams and leaders who have scaled and (or) exited with private equity before but whom wish for the next venture to see management more favourably benefit and (or) leaders and management teams from global corporations who wish to lead their own operation in the market they know so well. ICs approach creates structures which allow management teams an order of magnitude larger equity incentive than traditional Private Equity would provide. \n The business has built its own software and data asset; scraping and manipulating a variety of sources, which the development of AI has now allowed for accelerated progress. The aspiration of the business is to continue to develop this central asset, enrich to a level which allows the use of that data across an array of service works and potentially related businesses and to make maximal use of AI & Automation. \n Role \n This is a replacement Data role which was previously undertaken by a Power BI expert but over the past 12-months in particular it has become clear that the requirements of the role are changing as technology develops and instead a candidate with some coding skill-set (Python or Django) as well as tackling everything from an “AI first” principle would be more effective. \n The role interfaces between the Managing Director, who sets the requirements and vision and the Systems Manager, who owns the build and maintenance of the back-end codebase. The familiarity with Python will therefore allow for transfer of more responsibility from the Systems Manager such that the role is able to test, prepare and package work which instead just needs review and release, in doing so reducing bottlenecks which have accrued in the past. \n This remains a formative role in a nascent function in a young & small business and as such will suit candidates eager to build their own exciting credentials in an unstructured but high-value-add environment. Familiarity working in similar environments and methods is important. \n Likely tasks & responsibilities will include: \n\n • Supporting the design and development of data tasks as required by the wider technical team\n, • Designing & delivering a clear systematic approach to each of Data Acquisition, Data Entry, Data Insight & Inference (be that manual, automated, agentic, outsourced etc)\n, • Implement, embed & own local AI systems. We are looking to transition to more on-prem AI work and this role would have ownership of that roadmap\n, • Developing robust governance, hygiene and assurances practices such that the business can have high confidence in the continued reliability of the Data\n, • Assisting the business to devise publishable content drawn from the Insights\n, • Assisting the Systems Manager to regularly design further iterations of the build which will enhance functionality, insights & content as well as provide resilience in the instances the data environment evolves\n, • Designing and developing how infrastructure, services & resourcing needs to iterate to best support the plans of the business\n, • Supporting portfolio groups of Independence Capital to make best-use of company data to enhance how they deliver their own strategic and tactical goals, this may include leading on resourcing of Data & Analytics functions within those companies\n\n Requirements \n\n • Essential - 3 A Levels, with minimum A-C grades\n, • Optional - a degree in a relevant subject, with a minimum 2:1 and (or) equivalent relevant technical work experience\n, • Essential - high work ethic, pride in work, conscientiousness when delivering work amidst time constraints & ability work with and influence others\n, • Essential - strong Python capabilities to support pipeline automation, data manipulation & integration alongside robust technical documentation\n, • Essential – strong understanding of SQL, data modelling and ETL, Power BI\n, • Essential - confidence using APIs to call and manipulate data\n, • Highly preferable - an active interest in financial services and (or) M&A\n, • The role is open to both experienced Managers from mature teams looking for more autonomy or candidates looking to take on a first lead role but with demonstrable experience building for and solving similarly related requirements as part of a larger team\n, • The role is also open to those looking to build fractional/portfolio careers potentially but as a minimum will require 3-days per week, initially at least\n\n Package \n\n • Salary commensurate with experience\n, • Fully funded further qualifications and training (in work hours)\n, • Bonus participation with experience and progression\n, • 33 days paid holiday inclusive of Bank Holidays\n, • Role is suited to hybrid-working, to be discussed on a case-by-case basis\n\n

David Lewis, a charity supporting people with autism and complex needs, is seeking a Head of Recruitment and Workforce Planning to lead recruitment, workforce planning and analytics. You will shape workforce strategy across Education, Residential Services, Clinical Services and Corporate Functions,

We are looking for an API Security Architect to define, design, and oversee the implementation of enterprise‑grade API security architecture. The role ensures APIs are built securely, follow best‑practice standards, and align with organisational security and compliance requirements. • Design end‑to‑end API security architecture across cloud and on‑premise environments., • Define API security standards covering authentication, authorization, encryption, and threat protection., • Lead architectural reviews, threat modelling, and risk assessments for API integrations., • Select, architect, and optimize API gateways, WAFs, and security controls., • Develop reference architectures and reusable security patterns for engineering teams., • Provide security governance for API development, lifecycle management, and CI/CD practices., • Partner with engineering, product, and security operations to embed secure‑by‑design principles., • Oversee remediation strategies for API vulnerabilities and guide architecture improvements., • Proven experience in API security architecture within large‑scale environments., • Strong knowledge of OAuth2.0, OIDC, JWT, mTLS, TLS, and Zero Trust principles., • Deep understanding of OWASP API Security Top 10 and secure design patterns., • Experience designing security controls in cloud (Azure, AWS, or GCP)., • Ability to create architectural artefacts (HLDs, LLDs, security patterns)., • Certifications: CISSP, CCSP, GIAC, SABSA., • Experience with DevSecOps, container security, and microservices architecture., • Knowledge of SIEM, API analytics, and threat intelligence. #J-18808-Ljbffr

Location: Hybrid- typically 3 days office Reports to: Product Director Citation Group helps over 120,000 SMEs across the UK, Australia and Canada take care of the non-negotiables of running a business — HR and employment law, health & safety, ISO certification, background screening, cybersecurity, e-learning and more. Our mission is simple: build better businesses to create a better world. We're changing how we build products, not just what we build. Small, high-leverage teams — we call them Compass or Tiger teams — pair a product manager with engineers using agentic coding tools and a quality/evals specialist, and ship AI-native products and experiences faster and to a higher bar than the traditional model allows. This is the frontier of Citation's product organisation: fewer layers, more building, and AI woven into both the products we ship and how we ship them. As AI Product Manager, you'll lead one of these teams. This isn't a roadmap-and-backlog role — you're a builder. You'll have used agentic coding tools yourself, built evals to know whether an AI feature is actually good, and shipped AI products into production, not just prototyped them. You'll take a Compass or Tiger team from problem to live product, working hands-on alongside your engineers rather than translating requirements at a distance. • Build genuinely AI-native products. Not bolt-on AI features — agents, intelligent workflows and experiences that anticipate and act on a client's behalf. You'll define what good looks like as much as build it, because much of this is new ground for the industry as well as for us., • Lead from the front, not the roadmap. You'll run a small, high-leverage team and be closer to the code and the evals than a traditional PM — using agentic tooling daily, shaping what gets built and how, and proving the pod model works (1 product, 2 AI Engineers)., • A defined mandate on a live initiative. You'll be shipping into one of Citation's highest-priority AI programmes, with real client impact and real visibility across Product and Engineering leadership., • Be part of redefining how Product works. Citation is actively reshaping its product operating model around agentic ways of working. You'll be one of the practitioners proving it out, not a passenger to a change someone else designed., • Lead a Compass or Tiger team — a small pod of engineers using agentic coding tools and a quality/evals specialist — from problem definition through to a live, working product., • Set direction for the team day to day: what gets built, in what order, and why, grounded in client outcomes rather than output volume., • Work hands-on alongside your engineers, using agentic coding tools yourself to prototype, unblock and move fast., • Assess the commercial value of what you're building before and after you build it — sizing the opportunity up front, then tracking adoption, revenue impact and cost to serve once live — so the team's time goes on what actually moves the needle commercially, not just what's technically interesting., • Design product experiences that anticipate and act on a client's behalf, rather than simply presenting information for a human to act on., • Define and build evals so the team knows whether an AI feature is actually working — not just whether it shipped., • Take AI products through to production, including the unglamorous parts: reliability, cost, latency, guardrails and what happens when the model gets it wrong., • Run discovery directly with clients to understand where an intelligent, proactive product genuinely earns its place versus where it's AI for its own sake., • Own the product analytics for your team's product — usage, adoption, retention, funnel and cost/performance metrics — and use it alongside client feedback and evals results to decide what to build next., • Partner closely with the wider engineering teams on tooling, models and platform capability., • Bring back what you learn — on agentic ways of working, on evals, on what AI-native product development actually takes — to the wider Product team., • A product builder first. You can write a clear requirements doc when the situation calls for it, but you're just as comfortable in the codebase, prototyping alongside engineers using agentic coding tools (Claude Code or equivalent) as a regular part of how you work, not as an experiment., • Real experience shipping AI products to production. Not a pilot that stayed a pilot — a live product, with real clients, that you built and are accountable for., • Hands-on with evals. You know how to define what “good” means for an AI feature and how to measure it, and you've built or used evals frameworks to do so., • Strong on product analytics. You're fluent in the numbers — usage, adoption, retention, funnel drop-off, cost and performance metrics for AI features — and you use them, alongside evals results, to decide what the team builds next rather than relying on instinct or anecdote., • Commercially switched on. You can build a business case, size an opportunity and track it through to delivery — you treat commercial return as your responsibility, not something Finance checks after the fact., • Comfortable with ambiguity. AI-native product development doesn't have a settled playbook yet. You're happy defining the approach as you go rather than waiting for one to be handed to you., • Strong product fundamentals. Discovery, prioritisation, working with data and clients to decide what matters — the core PM craft still applies, it's just applied faster and closer to the build., • B2B SaaS experience preferred, ideally in a multi-brand or multi-business-unit environment., • The chance to build genuinely AI-native products from the ground up, inside one of Citation's most consequential initiatives., • A hands-on, builder-focused role at the leading edge of how AI is reshaping product development., • Visibility across Product and Engineering leadership, with real ownership of what you ship., • A supportive culture that prizes action, innovation and getting great things done — for our clients and each other. #J-18808-Ljbffr

We have a fantastic opportunity for an experienced Data Engineer to join Royal London’s Analytics Engineering Team within our Group Data & AI Office function. As a Data Engineer you will define, manage, and deliver the data, tools, and other technical assets to enable analytics, data science, and machine learning projects. These initiatives will create insights, answer key business questions, solve business problems, and support decision making at all levels of the organisation. Supporting the Senior Data Engineers in their role as technical lead for the team, helping to set and maintain technical standards. We value great communication skills, as you’ll be interacting with internal business areas as an SME for data, tooling and the technical practice around data engineering, analytics, data science and machine learning. The purpose of the Analytics Engineering team is to create business value through delivery of specific Analytics, Data Science, Machine Learning and Artificial Intelligence projects and initiatives. These initiatives will create insights, answer key business questions, solve business problems, and support decision making at all levels of the organisation. This team supports the other teams within the Analytics & Insight function, providing them with a Data and Analytics service to support their insight activities. The team will also act as a Centre-of-Excellence in Analytics and Data Science, helping to take forward the Group’s capability in these areas and our ambition to become “Data Led”. This role is suited to an experienced Data Engineer who has worked on large enterprise data programmes, with advanced experience of Databricks and data analytics. • Source and prepare data for use in Business Intelligence (BI), Analytics, Data Science and Generative AI projects and initiatives., • Source, evaluate, interpret, model, and manage multiple disparate data sources., • Understand, own, and manage the team’s data – working with business, technology, and external partners., • Design, develop and manage the deployment of data pipelines in our cloud platforms (Databricks, primarily), and help the manage heritage on-premises (SQL Server primarily) pipelines and the migration of these., • Prototype solutions to explore business hypothesis in an agile and iterative way which supports a learn fast/fail fast methodology., • Productionise data pipelines created by the team through CI/CD so that they are available for consumption for the business, data science, and data visualisation teams, respectively., • Maintain knowledge of data engineering and machine learning engineering practices including keeping abreast of new developments and changes in the field., • Maintain knowledge of data-related technologies and practices., • Help to ensure that robust software engineering practices are adhered to by the team., • Advanced experience of cloud-based Data and Analytics platforms and technologies, Databricks knowledge is essential and some exposure to experience of Fabric and/or Snowflake would be advantageous., • Advanced experience in data engineering and application of data management design patterns., • Ideally will have experience in creating Genie Agents, configuring data assets for Natural Language Querying and using Metric Views to create semantic layers., • Experience of programming languages: SQL, python & pySpark etc., • Experience of development practices: the use of versioning tools such as GitHub, work tracking tools such as Azure DevOps, or equivalents., • A proven track record in working in cross-functional projects to a successful conclusion., • Experience of managing stakeholders., • A broad understanding of BI and analytics tools, such as PowerBI, Tableau & R., • Some understanding of Microsoft SQL Server technologies, such as T-SQL and SSIS, would be useful., • Knowledge of the technology side of Analytics and Data Science, including principles of software engineering. We’re the UK’s largest mutual life, pensions and investment company, offering protection, long-term savings and asset management products and services. Our People Promise to our colleagues is that we will all work somewhere inclusive, responsible, enjoyable and fulfilling. This is underpinned by our Spirit of Royal London values; Empowered, Trustworthy, Collaborate, Achieve. We've always been proud to reward employees by offering great workplace benefits such as 28 days annual leave in addition to bank holidays, an up to 14% employer matching pension scheme and private medical insurance. We’re an inclusive employer. We celebrate and value different backgrounds and cultures across Royal London. Our diverse people and perspectives give us a range of skills which are recognised and respected – whatever their background #J-18808-Ljbffr

To design, develop, and implement solutions to complex business problems, collaborating with stakeholders to understand their needs and requirements, and design and implement solutions that meet those needs and create solutions that balance technology risks against business delivery, driving consistency. • Design and development of solutions as products that can evolve, meeting business requirements that align with modern software engineering practices and automated delivery tooling. This includes identification and implementation of the technologies and platforms., • Targeted design activities that apply an appropriate workload placement strategy and maximise the benefit of cloud capabilities such as elasticity, serverless, containerisation etc., • Best practice designs incorporating security principles (such as defence in depth and reduction of blast radius) that meet the Bank’s resiliency expectations., • Solutions that appropriately balance risks and controls to deliver the agreed business and technology value., • Adoption of standardised solutions where they fit. If no standard solutions fit, feed into their ongoing evolution where appropriate., • Fault finding and performance issues support to operational support teams, leveraging available tooling., • Solution design impact assessment in terms of risk, capacity and cost impact, inc. estimation of project change and ongoing run costs., • Development of the requisite architecture inputs required to comply with the banks governance processes, including design artefacts required for architecture, privacy, security and records management governance processes., • To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalating breaches of policies/procedures., • If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements., • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others., • OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions., • Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment., • Manage and mitigate risks through assessment, in support of the control and governance agenda., • Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does., • Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business., • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies., • Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions., • Adopt and include the outcomes of extensive research in problem solving processes., • Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Join us as a Solution Architect- you will be the platform architect for the Barclays Digital Asset Platform, defining the platform architecture that enables secure, scalable digital asset and digital money capabilities and integrates cleanly with existing Barclays payments, FX, compliance, and downstream systems. The role shapes a modular, API‑first platform encompassing core capabilities such as wallets, key management, smart contracts, orchestration, interoperability. The role also defines use‑case‑specific solution design to ensure platform capabilities are applied appropriately for priority business use cases. Working closely with end‑to‑end solution architects, the engineering team and cross‑functional stakeholders, the role ensures architectural consistency, regulatory alignment, and consistent delivery. To be successful as a Solution Architect, you should have experience with: • Expertise in digital assets at regulated financial institutions, including end to end processing flows and integration with traditional payment/settlement rails, • Knowledge of blockchain or distributed ledger technology (such as Ethereum) for secure transaction systems, • Expertise in defining platform architecture across clients, channels and business areas Some other highly valued skills may include: • Deep understanding of payment schemes and payment systems at large banks, • End to end knowledge of payments use cases across payment initiation, processing, FX, compliance, accounting, scheme integration and downstream advising, statements, analytics etc, • Proven ability to work with a wide range of stakeholders across business and technology to define the platform architecture and roadmap You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. #J-18808-Ljbffr

Purpose of the role: To define, direct and govern the bank’s target data architecture (inc. shared data environment, data model and standards) in support of business strategy, ensuring that data is accurate, secure and accessible to meet the needs of stakeholders. • Development of the banks data architecture strategy, including the translation of bank-wide goals and objectives into target data architecture and transition plan., • Collaboration with stakeholders, including data operations, engineers and analysts, to provide subject matter expertise and share knowledge to promote standardised, consistent, safe and value‑driven data usage., • Development and maintenance of the banks data architecture governance, standards and protection policies, regarding data models, authoritative data stores, and data capabilities, to support data quality, accuracy and consistency and the protection of sensitive information., • Management of the alignment of projects to the target data architecture through the provision of guidance, data solutions and monitoring of progress., • Definition of the shared reusable data capabilities, assets, tools and technologies required to connect disparate data sources, optimise data storage and provide seamless data access., • Custodianship of an overarching data model that directs how data is logically and physically structured within the banks physical data resources, e.g. database, interfaces and reports., • Monitoring applicable regulatory standards and industry developments for potential impact on the banks operations, controls and application portfolio., • Identification and selection of best‑in‑class data technologies and ongoing assessment of compliance with the bank's service level agreements and quality standards. To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets and policies; manage and maintain policies/processes; deliver continuous improvements and elevate breaches of policies/procedures. If managing a team, they define jobs and responsibilities, plan for the department’s future needs and operations, counsel employees on performance and contribute to employee pay decisions/changes. They may also lead specialists to influence the operations of a department, aligning with strategic and tactical priorities, while balancing short‑ and long‑term goals and ensuring that budgets and schedules meet corporate requirements. As a people leader, the expected behaviours are listening and authenticity, energizing and inspiring, aligning across the enterprise, and developing others. As an individual contributor, the role is a subject matter expert within own discipline and will guide technical direction, lead collaborative, multi‑year assignments, identify the need for inclusion of other areas of specialization, train, guide and coach specialists, and provide information affecting long‑term profits, organisational risks and strategic decisions. Stakeholders will be advised, risks mitigated, and leadership displayed in managing risk and strengthening controls, with a comprehensive understanding of organisational functions to contribute to achieving business goals. Collaboration with other areas maintains alignment with business strategy, while solutions are based on sophisticated analytical thought and research. • AI/ML Architecture: AI/ML frameworks, multi‑cloud platforms, data architectures, MLOps, and secure, scalable enterprise AI solution design., • Enterprise Architecture & Governance: EA frameworks, AI governance, ethical AI, compliance, and alignment to business and IT strategy., • Stakeholder Leadership: Clear communication of AI concepts, senior stakeholder engagement, and leadership of cross‑functional AI initiatives., • Industry Knowledge: Sector regulations and AI use cases, particularly in regulated industries such as financial services., • Data Strategy & Analytics: Data management, data quality, analytics platforms, data mesh/fabric, and real‑time data processing., • Emerging Technology: Generative AI, LLMs, edge AI, quantum computing potential, AI security, and bias mitigation., • Additional skills: Risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, and job‑specific technical skills. This role is based out of Knutsford. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship, and the Barclays Mindset – to Empower, Challenge and Drive. #J-18808-Ljbffr

Job Summary We’re looking for a Lead Data Engineer to provide hands‑on engineering leadership across our data platform landscape, with a particular focus on Microsoft Fabric. You’ll lead and support a small team, helping us design, build and operate reliable, secure and high‑quality data solutions in Fabric while contributing to the development and improvement of our wider data platforms. • Lead and support a team of Data Engineers, setting clear technical standards and helping the team work effectively and efficiently., • Oversee the day‑to‑day operation of our data engineering services, including pipeline availability, data quality, incident resolution, change management and performance optimisation., • Manage data engineering deliverables, ensuring they are completed on time, within budget and to the required quality standards., • Identify and introduce modern technologies and techniques that improve the efficiency and effectiveness of our data engineering processes., • Design, develop and implement automated solutions that reduce manual data processing and improve speed, accuracy, consistency and repeatability., • Collaborate with teams across Royal London, including the Group Data Office and IT, to ensure our data capabilities meet business needs and support the wider data strategy., • Embed effective risk management, operational controls and regulatory requirements throughout the team’s work., • Deep technical knowledge and a strong track record in data engineering, including delivering and operating large-scale data processing systems., • Experience of successfully leading development initiatives and supporting or managing technical teams, ideally within an agile delivery environment., • Strong practical experience of Microsoft Fabric with an understanding of how Fabric supports governed analytics and data engineering at scale., • A good understanding of data processing technologies and tools such as Apache Spark, data lakes, data warehousing and SQL databases., • Proficiency in Python and continuous integration and continuous delivery techniques, enabling change to be implemented consistently, securely and to a high standard., • Experience of cloud‑based data storage and processing platforms, particularly Microsoft Azure., • An understanding of data security and privacy requirements, supported by strong analytical and problem‑solving skills and an automation‑focused mindset., • Excellent communication, collaboration and stakeholder‑management skills, with the confidence to work independently and constructively challenge where needed. We are dedicated to building a diverse and inclusive workplace, and your unique experiences and perspectives could be a great addition to our team. We’re the UK’s largest mutual life, pensions and investment company, offering protection, long‑term savings and asset management products and services. Our People Promise to our colleagues is that we will all work somewhere inclusive, responsible, enjoyable and fulfilling. This is underpinned by our Spirit of Royal London values; Empowered, Trustworthy, Collaborate, Achieve. We've always been proud to reward employees by offering great workplace benefits such as • 28 days annual leave in addition to bank holidays, • up to 14% employer matching pension scheme, • private medical insurance We’re an inclusive employer. We celebrate and value different backgrounds and cultures across Royal London. Our diverse people and perspectives give us a range of skills which are recognised and respected – whatever their background. Only candidates who have the legal right to work in the UK or Ireland can undertake this role. Unfortunately, Royal London is unable to provide visa or work permit sponsorship. #J-18808-Ljbffr

Location: Glasgow Working Style: Hybrid - 50% from home / 50% office based Job Title: Senior Data Modeller We have an exciting opportunity for a Senior Data Modeller to join our Core Engineering Team within Royal London's Group Data & AI Office. You'll help us turn complex data into trusted, well-governed data products that power analytics, reporting and AI across the business. Contract Type: Permanent Location: Glasgow Working Style: Hybrid - 50% from home / 50% office based We have an exciting opportunity for a Senior Data Modeller to join our Core Engineering Team within Royal London's Group Data & AI Office. You'll help us turn complex data into trusted, well-governed data products that power analytics, reporting and AI across the business. In this role you'll analyse and understand data, integrate it with existing data models and data products, and help maintain clear modelling and naming standards. You'll also support metadata management and create source-to-target mapping documentation using industry-standard tools. The Royal London Enterprise Data Model (EDM) is a valuable data asset hosted on our cloud-based Enterprise Data Platform, forming the core data in our Databricks Lakehouse medallion architecture. You'll support the integration of new data and the ongoing maintenance, optimisation and expansion of the EDM and associated data products. The outcome is to build a critical mass of high-value, consumable customer, product and proposition data assets designed to scale for analytics, BI, reporting, data science and AI use cases. We welcome applicants from all backgrounds and career paths. If you're excited by the role and can bring many of the skills listed, we'd encourage you to apply - we value potential, learning mindset and transferable experience as well as direct experience. • Strong data analysis, mapping and modelling skills, with an understanding of enterprise data architecture., • Specialist knowledge of domain-based data modelling and complex source-to-target mappings (batch, near real-time and streaming/event-based)., • Experience delivering technical data analysis and modelling for complex programmes, including multi-vendor and matrix-led environments., • Good knowledge of data integration, engineering and warehousing concepts (e.g., Kimball/Inmon, star schemas, fact/dimension modelling, OLAP, data lakes, ERDs and detailed design specifications)., • Experience using data modelling tools such as ER/Studio, Erwin or Sparx EA., • Knowledge of cloud data & analytics services on Microsoft Azure (e.g., Azure Data Factory)., • Understanding of ETL concepts including data cleansing, change data capture (CDC), integration, mapping, extraction, transformation and loading., • Comfortable partnering with third parties and suppliers, building positive working relationships., • Clear communication of technical information to both technical and non-technical stakeholders., • Experience working in agile delivery and/or data design environments., • An understanding of relevant financial services regulation/legislation., • Ability to balance strategic thinking with attention to technical detail., • Ability to develop materials and present to senior stakeholders and governance forums., • Influencing and stakeholder management skills across business and technical teams., • Leadership skills, professionalism, and an inclusive, collaborative approach., • Strong organisation skills and the ability to stay calm in pressured or uncertain situations., • Ability to listen, communicate, constructively challenge and collaborate with peers and senior leaders. If you feel you'd be a great fit for Royal London but don't meet every requirement, we'd still love to hear from you. Research shows some candidates are less likely to apply unless they meet 100% of the criteria - if you meet most requirements and are keen to learn, please apply. We're the UK's largest mutual life, pensions and investment company, offering protection, long-term savings and asset management products and services. Our People Promise to our colleagues is that we will all work somewhere inclusive, responsible, enjoyable and fulfilling. This is underpinned by our Spirit of Royal London values; Empowered, Trustworthy, Collaborate, Achieve. • 28 days annual leave (plus bank holidays), • Up to 14% employer matching pension scheme, • Private medical insurance, • Hybrid working (50% from home / 50% office based), • See the full list here: Our Benefits We're an inclusive employer, and we welcome applications from everyone. We celebrate and value different backgrounds, experiences and cultures - they help us build better products and make more decisions. #J-18808-Ljbffr

Royal London is seeking a Senior Data Modeller to join the Core Engineering Team within the Group Data & AI Office in Glasgow. You will analyse data, integrate it with existing models and help maintain naming standards while supporting metadata and source-to-target mappings. This role sits on a cloud-based Data Platform and modern data products that enable analytics, reporting and AI. The role emphasizes collaboration with third parties, agile delivery, and governance, with a hybrid working #J-18808-Ljbffr

HelloKindred in the United Kingdom is seeking an experienced Infrastructure Engineer to design, build and automate AWS-based infrastructure supporting data and analytics platforms. The role focuses on creating secure and scalable cloud environments with IaC-based provisioning. You will implement security controls, manage IAM, VPCs and networking, and collaborate with development, architecture and security teams to deliver reliable platform deployments in a hybrid work setting. #J-18808-Ljbffr

Waters is building the next generation of Clinical and IVD LC-MS solutions that will enable laboratories worldwide to deliver faster, more reliable and more accessible diagnostic testing. As part of our growing Clinical Systems Development organisation, you will play a pivotal role in shaping how our products perform throughout their lifecycle, from product concept and development through to deployment in customer laboratories. Working across engineering, service, manufacturing, quality and customer-facing teams, you will help define and implement strategies that improve reliability, serviceability and overall system performance. This role is ideal for an experienced systems thinker who enjoys solving complex multidisciplinary challenges, using field and customer insights to influence product strategy, and collaborating across organisational boundaries to deliver exceptional customer experiences. Lead initiatives that improve the reliability, serviceability and customer experience of Waters Clinical and IVD systems, ensuring products consistently meet the needs of clinical laboratories and healthcare providers. Partner with multidisciplinary teams across systems engineering, hardware, software, manufacturing, quality and service functions to identify opportunities for product improvement throughout the development lifecycle. Analyse product performance, service and customer data to identify trends, uncover root causes and drive strategic improvements that enhance system uptime, robustness and overall customer satisfaction. Champion a data-driven approach to reliability engineering by developing new methods for performance monitoring, predictive analytics and system health assessment. Influence system architecture, product requirements and design decisions by ensuring reliability and serviceability considerations are incorporated early and effectively throughout product development activities. Lead investigations into complex technical issues, facilitating root cause analysis and implementation of sustainable corrective and preventative actions. Communicate insights and recommendations to technical and business stakeholders, translating complex system data into clear actions that influence product strategy and business outcomes. Education: Bachelor's degree in Engineering, Systems Engineering, Physics, Computer Science or another relevant technical discipline, or equivalent combination of education and experience. Master's degree or advanced technical qualification desirable but not essential. Experience: Significant experience in systems engineering, product development, reliability engineering, service engineering or a related discipline involving complex technical products. Experience working with integrated systems comprising hardware, software, electronics, mechanics and automation technologies. Demonstrated success leading cross-functional initiatives that deliver measurable improvements in product quality, performance, reliability or customer outcomes. Experience using field performance data, customer insights or service information to influence engineering decisions and product improvements. Experience working across engineering, quality, manufacturing and service organisations. Experience within diagnostics, medical devices, laboratory automation, life sciences, analytical instrumentation or other highly regulated industries would be advantageous. Familiarity with Clinical and IVD workflows, laboratory operations or regulated healthcare environments is desirable. Competencies: Strong understanding of reliability engineering principles and structured problem-solving methodologies, including FMEA, risk assessment, fault tree analysis, root cause analysis and reliability modelling. Strong systems-thinking capability with the ability to understand interactions across hardware, software, workflows, users and operational environments. Experience analysing complex technical and operational datasets to identify trends, generate insights and influence decision making. Proficiency with data analysis and visualisation tools such as Python, Power BI, Minitab, R, MATLAB, Excel or equivalent platforms. Ability to translate technical findings, customer feedback and operational data into actionable business and engineering recommendations. Excellent communication, collaboration and stakeholder management skills. Strong technical leadership capability with experience leading through influence across multidisciplinary teams. Demonstrated ability to mentor others and drive organisational improvement initiatives. Strong customer focus with an appreciation of how engineering decisions influence product adoption, serviceability and customer satisfaction. Travel: Occasional international travel may be required to support customer interactions, partner collaborations, product investigations and development activities. In addition to salary, wework flexibly and provide 25 days holidays, excellent family friendly benefits such as attractive employer pension contribution, life assurance, income protection and private medical. With Waters, there are plenty of opportunities for you to grow, develop and contribute. Waters Corporation (NYSE:WAT) is a global leader in analytical instruments, separations technologies, and software, serving the life, materials, food, and environmental sciences for over 65 years. Our Company helps ensure the efficacy of medicines, the safety of food and the purity of water, and the quality and sustainability of products used every day. In over 100 countries, our 7,600+ passionate employees collaborate with customers in laboratories, manufacturing sites, and hospitals to accelerate the benefits of pioneering science. Diversity and inclusion are fundamental to our core values at Waters Corporation. It benefits our employees, our products, our customers and our community. Waters complies with all applicable federal, state,and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status,or any other characteristic protected by law. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. All hiring decisions are based solely on qualifications, merit, and business needs at the time. #J-18808-Ljbffr

Contract type: Permanent Location: Alderley Park Working style: Hybrid 50% home/office based Job Summary We’re looking for a Lead Data Engineer to provide hands-on engineering leadership across our data platform landscape, with a particular focus on Microsoft Fabric. You’ll lead and support a small team, helping us design, build and operate reliable, secure and high-quality data solutions in Fabric while contributing to the development and improvement of our wider data platforms. • Lead and support a team of Data Engineers, setting clear technical standards and helping the team work effectively and efficiently., • Oversee the day-to-day operation of our data engineering services, including pipeline availability, data quality, incident resolution, change management and performance optimisation., • Manage data engineering deliverables, ensuring they are completed on time, within budget and to the required quality standards., • Identify and introduce modern technologies and techniques that improve the efficiency and effectiveness of our data engineering processes., • Design, develop and implement automated solutions that reduce manual data processing and improve speed, accuracy, consistency and repeatability., • Collaborate with teams across Royal London, including the Group Data Office and IT, to ensure our data capabilities meet business needs and support the wider data strategy., • Embed effective risk management, operational controls and regulatory requirements throughout the team’s work., • Deep technical knowledge and a strong track record in data engineering, including delivering and operating large-scale data processing systems., • Experience of successfully leading development initiatives and supporting or managing technical teams, ideally within an agile delivery environment., • Strong practical experience of Microsoft Fabric with an understanding of how Fabric supports governed analytics and data engineering at scale., • A good understanding of data processing technologies and tools such as Apache Spark, data lakes, data warehousing and SQL databases., • Proficiency in Python and continuous integration and continuous delivery techniques, enabling change to be implemented consistently, securely and to a high standard., • Experience of cloud-based data storage and processing platforms, particularly Microsoft Azure., • An understanding of data security and privacy requirements, supported by strong analytical and problem-solving skills and an automation-focused mindset., • Excellent communication, collaboration and stakeholder-management skills, with the confidence to work independently and constructively challenge where needed. We’re the UK’s largest mutual life, pensions and investment company, offering protection, long-term savings and asset management products and services. Our People Promise to our colleagues is that we will all work somewhere inclusive, responsible, enjoyable and fulfilling. This is underpinned by our Spirit of Royal London values; Empowered, Trustworthy, Collaborate, Achieve. We've always been proud to reward employees by offering great workplace benefits such as 28 days annual leave in addition to bank holidays, an up to 14% employer matching pension scheme and private medical insurance. We’re an inclusive employer. We celebrate and value different backgrounds and cultures across Royal London. Our diverse people and perspectives give us a range of skills which are recognised and respected - whatever their background. #J-18808-Ljbffr

Royal London is seeking an experienced Data Engineer to join the Analytics Engineering Team within the Group Data & AI Office. You will define, manage, and deliver data assets to enable analytics, data science and ML projects, working in a hybrid setup across Alderley Edge/Glasgow. You will deploy data pipelines on Databricks, integrate SQL Server on-premises heritage, and collaborate with cross-functional teams to set technical standards and practice in data engineering, analytics and ML. #J-18808-Ljbffr

Overview In this role you will drive growth and expand Waters’ bioanalytical solutions footprint in academic, government, and pharma research spaces. You will work with regional sales and marketing to build targeted plans, cultivate institutional relationships, and communicate LC-MS and flow cytometry value to diverse scientific audiences. You’ll navigate funding cycles and strategic priorities to convert opportunities into long-term partnerships. This role offers the impact of shaping adoption of advanced analytical workflows across research institutions. ResponsibilitiesIdentify and pursue new business opportunities across academic, government, and pharma research organizationsDevelop and implement sales plans tailored to academic funding cycles and institutional prioritiesCollaborate with regional sales and marketing to convert opportunities into ordersProvide technical presentations, workflow discussions, demonstrations, and proposals/quotesDeliver remote and in-person training for sales and marketing on academic bioanalytical workflowsCreate and execute promotional initiatives aligned with academic trendsBuild and maintain strong relationships with PIs, core directors, and research staffProvide regular performance and market feedback to guide strategy and forecast pipelineMaintain knowledge of LC‑MS, flow cytometry, and related analytical technologiesCapture researcher feedback to support ongoing refinement of bioanalytical solutionsPartner with cross-functional teams to deliver cohesive, research-focused solutions Key requirementsMinimum 5 years in sales or business development serving academic, government, or pharmaceutical marketsProficiency with Salesforce CRM and Microsoft Office; experience with business analytics toolsAbility to assess research needs and translate into commercial strategiesStrong analytical, negotiation, and presentation skillsWillingness to travel up to 50% for campus visits and eventsStrategic thinkingRelationship buildingEffective communicationLC‑MSFlow cytometryQuantitative and qualitative analytical technologies

Waters Corporation is seeking a Senior Software Engineer to design, develop, and deliver scalable software that supports scientific analytics. You will modernize platforms, champion technical excellence, and work with cross-functional teams to meet complex customer needs. You will mentor and lead technical decisions, adopt AI-assisted development, and contribute to secure, high-performing solutions across cloud-enabled platforms. #J-18808-Ljbffr

HelloKindred are specialists in staffing marketing, creative and technology roles, offering a range of talent solutions that can be delivered on-site, remotely or hybrid. Our vision is to make work accessible and people's lives better. We do this by disrupting traditional employment barriers -connecting ambitious talent to flexible opportunities with trusted brands. Anticipated Contract End Date/Length: December 31, 2026 Work Setup: Hybrid (2-3 days per week in office) Clearance Required: Eligibility for BPSS Our client in the Information Technology and Services industry is looking for an experienced Infrastructure Engineer to design, build and automate AWS-based infrastructure supporting strategic data and analytics platforms. The role will focus on creating secure and scalable cloud environments, implementing security controls and developing Infrastructure-as-Code (IaC) solutions to enable rapid and repeatable environment provisioning. What you will do: • Design, build and deploy AWS infrastructure environments to support platform and application workloads., • Configure core AWS services, networking, security groups, IAM roles, permissions and user authentication mechanisms., • Implement and maintain cloud security policies in line with enterprise security standards and best practices., • Develop and automate Infrastructure-as-Code (IaC) scripts for environment provisioning and recreation., • Ensure infrastructure solutions remain scalable, resilient, secure and operationally efficient., • Collaborate with development, architecture and security teams to support platform deployments and ongoing enhancements., • Demonstrate strong hands-on experience with AWS infrastructure and cloud platform engineering., • Apply advanced knowledge of AWS IAM, Security Groups, VPCs, networking, authentication and access management., • Develop Infrastructure-as-Code solutions using Terraform, CloudFormation or similar automation tools., • Possess a strong understanding of cloud security principles, governance and compliance controls., • Show experience automating infrastructure deployment, configuration and environment management., • Apply strong troubleshooting, problem-solving and operational support skills., • Meet the eligibility requirements for BPSS clearance., • Accept PAYE employment through an Umbrella company. All your information will be kept confidential according to EEO guidelines. Candidates must be legally authorized to live and work in the country where the position is based, without requiring employer sponsorship. HelloKindred is committed to fair, transparent, and inclusive hiring practices. We assess candidates based on skills, experience, and role-related requirements. We appreciate your interest in this opportunity. While we review every application carefully, only candidates selected for an interview will be contacted. HelloKindred is an equal opportunity employer. We welcome applicants of all backgrounds and do not discriminate on the basis of race, colour, religion, sex, gender identity or expression, sexual orientation, age, national origin, disability, veteran status, or any other protected characteristic under applicable law. #J-18808-Ljbffr

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