312 jobs found

Job Advertisement: M365 Identity & Integration Engineer Location: Leeds, 2 days per week in the office, Working Pattern: Via Umbrella Company Contract Length: 6 months Are you ready to embark on an exciting journey with a leading financial institution? Our client is seeking a talented M365 Identity & Integration Engineer to join their dynamic team! If you are passionate about technology and enjoy tackling challenges, this is the opportunity for you! Role Overview: As the M365 Identity & Integration Engineer, you will play a crucial role in the technical integration and ongoing operation of applications across the Workplace Technology portfolio. Your hands-on expertise will ensure that new and existing applications align with identity, security, governance, and operational processes. Get ready to collaborate with various teams, including Microsoft 365, Cyber Security, and Service Operations, to deliver secure and supportable solutions! Key Responsibilities: Lead Application Integration: Oversee the technical onboarding of applications from design to BAU support. Secure Integrations: Design and implement integrations with corporate services, including Entra ID/Active Directory and SSO (SAML, OIDC, OAuth). Collaborate with Stakeholders: Understand functional requirements and translate them into practical technical designs. Ensure Monitoring: Integrate applications with internal monitoring and support processes before go-live. SSO Support: Implement and support SSO integrations via Entra ID, managing app registrations and troubleshooting. Apply Security Controls: Enforce organizational standards, including Conditional Access, MFA, and secure account management. Support Security Assurance: Assist in architecture reviews, supplier security assessments, and remediation actions. Operational Artefacts: Produce and maintain support models, runbooks, and onboarding checklists. Technical Escalation Point: Act as a go-to for complex incidents related to authentication and access. Collaboration Across Teams: Work with platform teams to deliver cohesive solutions. Continuous Improvement: Identify and propose enhancements for integration and operational processes. Essential Skills & Experience: Strong experience with Microsoft Entra ID (Azure AD), including SSO and app registrations. Proficiency in Conditional Access/MFA design and operational troubleshooting. Understanding of identity governance concepts (RBAC, least privilege). Expertise in integrating SaaS platforms within regulated environments. Exceptional troubleshooting skills across authentication flows and related technologies. Nice-to-Have (Highly Desirable): Experience with Cisco Spaces or similar platforms. Familiarity with workplace analytics and data governance. Knowledge of Microsoft 365 services and integration points. Basic scripting/automation skills (PowerShell preferred). Desirable Qualifications: Relevant industry certifications (e.g., Microsoft Identity/Security/Azure fundamentals). ITIL v4 Foundation or equivalent service management certification. Experience with security frameworks like ISO27001 or Cyber Essentials Plus. If you're ready to take your career to the next level and contribute to a leading financial institution, we want to hear from you! Apply now and become a key player in shaping the future of Workplace Technology! Our client is committed to diversity and inclusion and encourages applications from all qualified candidates. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Fortinet Technical Design Authority (TDA) We are seeking an experienced Fortinet Technical Design Authority (TDA) to lead the architecture, governance, and strategic delivery of enterprise-scale Fortinet security solutions across complex multi-site and multi-tenant environments. Key Responsibilities Lead the design and governance of enterprise Fortinet environments Define and maintain security architecture standards, operational models, and best practices Provide technical oversight for large-scale Fortinet deployments, migrations, and optimisation initiatives Work closely with SOC, infrastructure, networking, and security engineering teams Act as the senior escalation point for complex Fortinet architecture and operational challenges Core Technical Expertise FortiManager Policy package governance and lifecycle management ADOM design and administration Workflow approval processes and change governance Multi-tenant operational management Standardisation and automation of security policy deployment FortiAnalyzer Centralised logging and reporting strategy SOC integration and event correlation Incident and event handling workflows Compliance reporting and audit outputs SIEM interoperability and operational analytics Secure SD-WAN SLA rule creation and traffic steering Link health checks and performance optimisation ADVPN architecture and dynamic overlay networking Hub-and-spoke topology design Network segmentation and security zoning strategy UTM / NGFW Leadership IPS policy tuning and threat optimisation SSL inspection strategy and operational governance Certificate lifecycle and PKI management Proxy-based vs flow-based inspection design Web Application Firewall (WAF) capabilities where applicable Zero Trust Network Access (ZTNA) and SASE architecture integration Required Experience Extensive hands-on Fortinet architecture and engineering experience Strong understanding of enterprise security and networking principles Experience operating within regulated or large-scale enterprise environments Ability to produce high-quality technical designs, standards, and governance documentation Excellent stakeholder engagement and technical leadership skills Desirable Certifications NSE 7 / NSE 8 (or equivalent Fortinet certifications) CCNP / CCIE Security CISSP or equivalent security certification

AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13118 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13119 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

Senior AI Engineer Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

Overview Hybrid with 2 days in our Stansted office. We are looking for an expert to lead the way in the innovation of the data analysis tools, automation and infrastructure within our Microsoft technology stack for our Award-Winning Accident Repair Network. Our mission is to develop the tools and technology that enable our teams to get our customers back to normal and we are often looking to cutting edge solutions to achieve this. The candidate will be reporting into our Platform Manager and working with our Systems Architect and Product Team to not only lead in the development of automation and Power Platform solutions for our business but also to support our bespoke award-winning IT system; as such this role is fundamental to our growth and success. Responsibilities As a Senior Azure Cloud Engineer, you will support and enable the Microsoft Technology Stack through IT Change, troubleshoot IT Problems, following ITIL v4 guidelines in this cutting edge and highly secure environment. You will support our technical environment, which includes Microsoft technologies, Meraki networking, SaaS solutions (including our own bespoke workshop management system) with much of the access managed by Single Sign-on (SSO). You will be passionate about technology and understand business systems and solutions. Work with the Systems Architect to design, implement, and maintain solutions within our Microsoft Technical Stack. Work with stakeholders to devise improvements to their teams' processes with Power Platforms and automation. Assist with IT Change and Problem Management following ITIL v4 guidelines, using advanced troubleshooting and problem-solving skills and working closely with internal colleagues and external suppliers in resolving issues promptly. Support IT governance, ensuring security best practises and disaster recovery plans are followed and raise concerns, risks and cyber incidents to the IT leadership team. Maintain detailed documentation for system configuration, procedures and troubleshooting and work with the Helpdesk team to remove blockers to resolve incidents and process service requests. Provide guidance and support to the wider IT team on infrastructure design and build and provide information regarding system/device performance and error logs. Must be able to commute to the Stansted office as this role is hybrid 2 days a week in the office. Be innovative in exploring new technologies that can help develop skills and competencies in the business and for individuals. What do I need to know? Cloud Platform Engineering Be able to design, implement and maintain Azure infrastructure across compute, storage, networking, and identity services. Be able to manage and maintain secure, scalable, and highly available cloud platforms aligned to the Azure Well-Architected Framework. Know how to implement and maintain Azure landing zones, subscriptions, and management groups. Security, Governance & Resilience Ensure platforms comply with security, compliance, and governance standards (e.g. RBAC, Key Vault, network security, logging). Apply best practices for cost control, monitoring, and operational resilience. Be able to support DR, backup, and business continuity designs across Azure workloads. Collaboration & Architecture Work closely with solution architect, product team, and security teams to align cloud solutions with business needs. Provide input into Technical Design Authority, Change Steering Groups, architecture reviews, and project delivery. Produce and maintain clear technical documentation. Qualifications Strong hands-on experience with Microsoft Azure, including: Azure Virtual Networks, VMs, Storage, Azure AD. PaaS services (App Services, Functions, Logic Apps, SQL, etc.). Monitoring and logging (Azure Monitor, Log Analytics). Scripting skills using PowerShell, Azure CLI, Bash, or Python. Good understanding of networking, security, and identity in cloud environments. Minimum three years' experience in a similar role. Experience of working within the ITIL v4 or 5 frameworks. Relevant Apprenticeship or higher education. Any of the following qualifications would be advantageous: Microsoft Azure Administrator Associate AZ-104 Microsoft Azure Developer Associate AZ-204 Microsoft Azure Network Engineer Associate AZ-700 Microsoft Azure Solutions Architect Expert AZ-305 Solus, who are owned by Aviva, are one of the UK leaders in vehicle repairs, returning cars to the road in just 11 days on average and a 4.6/5 star customer rating. With an award-winning apprenticeship programme and winners of other recognised industry awards Solus are proud to be shaping the future of vehicle repair. Why Join Solus? We have so much to offer when it comes to being a Solus colleague: Competitive salary based on location, skills, experience, and qualifications. Bonus opportunity tied to your performance and the overall success of Solus. Company pension scheme with employer contributions. 33 days' holiday (including bank holidays), with the option to buy or sell up to 5 days. Save money with up to 40% discount on Aviva products and other retailer discounts. Share in Aviva's success through the Aviva Save As You Earn scheme. Supportive policies including parental and carer's leave. Wellbeing focus with tools like Group Income Protection and 24/7 GP access. At Solus, we value inclusivity and welcome all applicants. If you're excited but don't tick every box, we encourage you to apply-your unique skills might be just what we need. We guarantee an interview for disabled applicants meeting the minimum criteria-just email us after applying to let us know. Ready to join us? Apply online today, and our team will be in touch within 14 days.

Data Engineer - Manchester (Hybrid) - Python, Cloud, AI & Generative AI - up to £55,000 This is a great opportunity to join a well-established, global consulting organisation that's working on interesting, meaningful projects. The focus is on large-scale technology and transformation programmes, with plenty of opportunity to build practical AI and data solutions that are used in the real world. You'd be part of a team operating right at the heart of data and AI, tackling real problems for major public and private sector organisations. There's a clear commitment to investing in people, whether that's learning new technologies, gaining exposure to modern AI use cases or working alongside experienced engineers who are open, supportive and happy to share their knowledge. You will work with: End-to-end data engineering and AI solutions supporting enterprise-scale transformation Scalable data pipelines, datasets and analytical platforms AI and machine learning models, including predictive and advanced analytics Generative AI solutions, using large language models and prompt/context engineering Multiple data sources, ensuring strong data quality, governance and security Cross-functional Agile teams including engineers, analysts and business stakeholders What will be involved in the role: Designing, building and maintaining robust, scalable data pipelines and data models Developing and implementing AI / ML and Generative AI solutions aligned to business needs Integrating structured and unstructured data from multiple systems Implementing testing, monitoring and optimisation to ensure reliability and performance Producing clear technical documentation and supporting data governance standards Communicating complex technical concepts to non-technical audiences Benefits - What's on offer: Salary up to £55,000 plus a comprehensive benefits package Exposure to high-profile transformation and AI programmes Ongoing learning and development in data, AI and emerging technologies Clear and structured career progression pathways Supportive, inclusive culture with a strong focus on wellbeing and flexibility Key experience - What we're looking for: Experience as a Data Engineer, Data Developer or AI Engineer Strong programming skills in Python and SQL Hands-on experience building and maintaining data pipelines Exposure to AI / ML frameworks Experience with cloud platforms, data warehouses or big data technologies Strong analytical and problem-solving skills Comfort working in Agile delivery environments Eligibility for UK Security Clearance Interested? If you're looking to take the next step in Data and AI while working on meaningful transformation work, now is the time to act. Apply now!

Are you passionate about regulatory compliance, data analysis, and the future of Open Banking? We're looking for an experienced Open Banking Governance Analyst to join a fast-paced, global organisation and play a key role in ensuring compliance across multiple Open Banking frameworks, including PSD2 (EU), UK Open Banking, and Australia's Consumer Data Right (CDR) . In this contract role, you'll be responsible for regulatory reporting, incident management, API performance oversight, and governance activities across several international markets. You'll work closely with engineering, product, compliance, and risk teams to ensure reporting accuracy, investigate operational issues, and help drive regulatory excellence. What You'll Bring - 3+ years' experience in regulatory reporting, compliance analytics, or financial operations within banking, payments, or fintech - Strong understanding of EU or UK regulatory frameworks (PSD2, FCA, Open Banking) - Advanced SQL skills and experience working with large datasets - Excellent stakeholder management and cross-functional collaboration skills - Ability to work independently in a complex, multi-jurisdictional environment Nice to Have Open Banking API experience Knowledge of UK, EU, or Australian Open Banking standards Experience supporting newly regulated markets or building regulatory reporting frameworks If you're looking to make an impact at the intersection of regulation, technology, and Open Banking innovation , we'd love to hear from you.

Senior SQL Developer - Remote - 6 months - Circa 450 per day inside ir35 We are seeking an experienced SQL Developer to join a high-performing data and analytics team within a fast-paced, technology-driven organisation. The successful candidate will work on complex database systems supporting real-time data processing, reporting, and business intelligence. Responsibilities Design, develop, and maintain high-performance SQL queries, stored procedures, and functions . Work with large, transactional databases and optimise SQL code for performance and scalability. Collaborate with data engineers, analysts, and business stakeholders to deliver robust and maintainable database solutions . Support ETL processes and data integration tasks to feed analytics platforms. Troubleshoot and resolve database issues, ensuring data integrity, security, and availability . Assist in data modelling, schema design, and performance tuning across multiple environments. Maintain clear technical documentation and follow best practices for version control and deployment . Required Skills & Experience Strong experience with T-SQL / SQL Server (or similar relational databases). Proven ability to write efficient, optimised queries and complex stored procedures . Experience with performance tuning, indexing strategies, and query optimisation . Familiarity with ETL processes, data warehousing, or reporting tools (e.g., SSIS, Power BI, Tableau). Comfortable working in agile development teams and collaborative environments. Experience with source control (Git, TFS, etc.) and CI/CD pipelines is a plus. Excellent problem-solving skills and attention to detail. Nice-to-Have Exposure to cloud-based databases (Azure SQL, AWS RDS, etc.). Understanding of real-time analytics pipelines or high-traffic transactions systems. Experience in the gaming, fintech, or betting industries preferred but not essential. This temporary contract is inside IR35 and will require working under the direction of the client delivery manager as part of a multi-disciplinary team. The successful candidate will follow established delivery processes and working practices Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Should the role require the successful candidate to undergo and be eligible for UK Security Vetting. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, Reserved Post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003.

Lead Data Engineer The Lead Data Engineer will play a pivotal role in designing, building, and optimising data pipelines and architecture to support analytics and business intelligence in the financial services industry. This position, based in London, requires an individual with a strong technical background and a passion for data innovation. Client Details Lead Data Engineer This opportunity is with a well-established organisation in the financial services industry. The company operates as a medium-sized enterprise, offering a professional and forward-thinking environment that values expertise in analytics and data-driven decision-making. Description Lead Data Engineer Design, develop, and maintain scalable data pipelines and systems to process large datasets efficiently. Collaborate with analytics and business teams to understand data requirements and deliver tailored solutions. Ensure data quality, integrity, and security across all systems and processes. Optimise and troubleshoot existing data architectures to improve performance and reliability. Implement best practices for data engineering, including version control, testing, and documentation. Work closely with stakeholders to provide insights and support data-driven decision-making. Stay updated on emerging technologies and trends in data engineering and apply them to enhance operations. Mentor and guide junior team members, fostering a collaborative and knowledge-sharing environment. Profile Lead Data Engineer A successful Lead Data Engineer should have: Strong experience designing and building scalable data platforms in Azure. Deep expertise in Azure Data Factory, SQL, and Python for ETL/ELT pipelines Proven ability to lead, mentor, and develop data engineering teams Hands-on experience with data warehousing, modelling, and performance tuning Solid understanding of data governance, quality, and lineage frameworks Experience implementing monitoring, automation, and platform reliability practices Strong stakeholder management skills, translating business needs into technical solutions Exposure to financial services or regulated environments with data security awareness Job Offer Lead Data Engineer A competitive salary ranging from 90,000 to 110,000 per annum. Comprehensive health and pension benefits. Generous holiday allowance to support work-life balance. Hybrid working options for greater flexibility. A permanent role with opportunities for professional growth and development. If you are ready to advance your career as a Lead Data Engineer in London within the financial services industry, we encourage you to apply today!

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Are you passionate about transforming data into actionable insights? Do you thrive in a fast-paced environment and want to play a key role in shaping the future of data management within the utilities sector? If so, we have an exciting opportunity for you! Role: Data Architect Duration: 6 Months (ext options) Location: Warwick (Hybrid, 1 day every 2 weeks in office) Rate: 950 pd (Umbrella) Overview: Our client is on a journey to enhance their Data & Insights platform, leveraging the power of Azure. As a Data Architect, you will lead the data modeling process and curate enterprise-level data, ensuring it aligns with business processes and analytics. This is your chance to make a significant impact in a live platform environment, guiding engineering teams and contributing to data-driven decision-making. Key Responsibilities: Develop & Maintain: Create and enhance enterprise-level conceptual, logical, and physical data models, expanding them as new data subject areas are integrated. Collaborate: Work closely with business stakeholders, architects, and engineering teams to gather and understand data requirements. Align & Optimize: Ensure data models are aligned with enterprise architecture strategy and optimize existing models for performance and scalability. Impact Analysis: Conduct thorough impact analyses for changes affecting the enterprise data platform. Support Engineers: Provide technical guidance to engineers on production issues, ensuring smooth operations. What You'll Bring: To be successful in this role, you should possess: Data Modelling Expertise: Strong experience with data modeling techniques (conceptual, logical, physical). Technical Proficiency: Skilled in SQL and familiar with database platforms such as SQL Server and Databricks. UML Knowledge: Expertise in using UML for effective data modeling. Tools Savvy: Experience with data modeling tools like Sparx EA. Data Warehousing & Lakes: Deep understanding of data warehousing and data lakes. Business Acumen: Strong analytical skills and the ability to translate business requirements into technical solutions. Governance Familiarity: Knowledge of data governance frameworks and industry data standards (e.g., ISO, DAMA-DMBOK). Why Join Us? Dynamic Environment: Engage with a diverse team and contribute to exciting data initiatives. Impactful Work: Play a crucial role in delivering "Data as a Product" and support the organization's strategic goals. Professional Growth : Opportunity to expand your skills in a collaborative atmosphere with access to cutting-edge technologies. If you're ready to take your career to the next level and contribute to a pivotal project within the utilities sector, we want to hear from you! Application Process: Ready to make a difference? Submit your application today , please answer screening questions and embark on an exciting journey with us! Join our client and help shape the future of data in the utilities industry-where your expertise meets innovation! Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

Systems Specialist - Contruent / Deltek Prism London Hybrid Working 599 per day Inside IR35 via Umbrella Minimum 6-Month Contract A leading infrastructure organisation is seeking an experienced Systems Specialist to support enterprise PMO and project controls systems across major capital programmes. This role will focus on the administration, support, configuration, and optimisation of Contruent / Deltek Prism, working closely with PMO teams, programme stakeholders, and technical support functions. Key Responsibilities Administer and support Contruent / Deltek Prism Manage cost uploads, reporting cycles, configurations, and system changes Produce cost and programme reports Provide user support and troubleshoot system issues Support integrations, data mapping, and reporting improvements Develop dashboards and analytics using Power BI Liaise with programme teams to support cost management and governance processes Essential Experience Strong hands-on experience with Contruent / Deltek Prism administration Experience within PMO, programme controls, or cost management environments Cost reporting and project controls knowledge Stakeholder and end-user support experience Power BI reporting skills Experience with APIs, data mapping, and systems integrations We can only consider applications from those eligible to work in the UK for this position. This position will require some additional checks, to ensure you can access the site worked as needed. For more information on this position, please contact Marika Powell at ARM on (phone number removed) or email your CV and covering letter to . Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.

Data Scientist Cardiff / Hybrid Engineering AI & Predictive Analytics We're supporting a growing engineering business looking to hire a Data Scientist to help develop scalable ML and AI solutions across compliance, risk and contractor analytics platforms. You'll work closely with AI Engineers, Data Engineers and DevOps teams to build and deploy predictive models and LLM-powered solutions in production environments across AWS and Azure. The Role This is a hands-on opportunity to work on modern AI and machine learning initiatives that directly support operational performance, compliance and risk management. You'll be involved in the full model lifecycle from data ingestion and feature engineering through to deployment, optimisation and monitoring. Key Responsibilities Develop machine learning models for risk scoring, churn prediction and contractor analytics Build LLM and NLP solutions for automated compliance checks and insight generation Deploy AI and ML models into cloud-based production environments Work with Microsoft Fabric for data ingestion, transformation and feature engineering Improve model monitoring, retraining and optimisation processes Collaborate closely with engineering and product teams in agile delivery squads Communicate technical solutions clearly to non-technical stakeholders Contribute to best practices around coding standards, maintainability and AI-assisted development Tech Stack Python, SQL, TensorFlow, PyTorch, AWS, Azure, Microsoft Fabric, NLP, LLMs, MLOps What We're Looking For Strong commercial Data Science experience Experience building and deploying ML models into production Strong understanding of predictive modelling, NLP and LLM architectures Cloud experience with AWS and/or Azure Experience with Python, SQL and modern ML frameworks Strong communication and stakeholder management skills Ability to work collaboratively in agile engineering teams Desirable Experience Risk modelling or compliance analytics Supply chain or operational analytics MLOps and CI/CD pipelines Data governance or regulatory environments Why Apply? You'll join a collaborative engineering environment working on genuinely impactful AI projects with modern tooling and cloud technologies. This is an opportunity to help shape the future direction of AI capability within a growing business while working on real-world applications of LLMs and predictive analytics.

Job Title: Business Development Manager Location: Remote (1 day per month in London) Salary: £40,000 + Commission Role Overview: Our client is seeking an experienced and results-driven Business Development Manager to drive employer engagement and generate new business opportunities within the IT and technology training sector. This role focuses on identifying, developing, and onboarding new employer partners, promoting both apprenticeship programmes and commercial tech training solutions. As the Business Development Manager , you will support organisations in building future-ready digital workforces through programmes such as Software Development, Cyber Security, Data, Cloud, and IT Support, working with both levy and non-levy employers to maximise the value of apprenticeships and funded training. This is a target-driven role. The ideal Business Development Manager will have strong sales capability, excellent relationship-building skills, and a solid understanding of the UK apprenticeship and digital skills landscape. Key Responsibilities Business Development Manager (IT & Tech) Proactively identify, target, and secure new employer partnerships across the IT, digital, and technology sectors, as well as organisations with digital skills needs. Promote a portfolio of IT and tech apprenticeship programmes and commercial training courses, positioning them as strategic workforce and upskilling solutions. Sell both funded apprenticeship pathways and commercial short courses/bootcamps in areas such as Software Engineering, Cyber Security, Data Analytics, AI, and Cloud Technologies. Achieve and exceed monthly and quarterly targets for new learner starts, employer sign-ups, and revenue (apprenticeships + commercial training). Build and manage a strong sales pipeline, from lead generation through to onboarding and account growth. Engage with levy-paying and non-levy employers, advising on how to utilise levy funds, co-investment, and commercial training budgets. Conduct detailed digital skills gap analysis with employers, recommending tailored IT training and apprenticeship solutions. Provide expert guidance on apprenticeship funding rules, levy transfer opportunities, and compliance, alongside commercial pricing options. Maintain accurate CRM records, track activity, and produce performance reports aligned to sales KPIs. Represent the organisation at tech events, networking forums, careers fairs, and industry conferences. Collaborate with internal delivery, curriculum, and learner engagement teams to ensure a seamless onboarding and high-quality client experience. Ensure all apprenticeship activity aligns with ESFA funding rules and regulatory requirements, while commercial offerings meet agreed service standards. Skills and Experience Proven experience in business development, B2B sales, or employer engagement, ideally within IT training, apprenticeships, or tech education. Strong understanding of the UK apprenticeship system, including levy and non-levy funding. Demonstrated success in selling training solutions, digital skills programmes, or SaaS/tech-related services. Ability to confidently engage and influence senior stakeholders, HR leaders, L&D teams, and technical decision-makers. Strong knowledge or interest in IT and technology disciplines (e.g., software, cyber, data, cloud). Excellent negotiation, influencing, and closing skills with a consultative sales approach. Highly organised, with the ability to manage multiple opportunities and a fast-moving pipeline. Experience using CRM systems, Microsoft Office, and digital sales tools. Self-motivated, target-driven, and commercially focused. Paul Feldman is the National Skills Agency Data Protection Officer. Your data will be stored until notice is given by you for it to be removed. Our Data Protection Policy will be forwarded to you on request. As we get a high number of applications we may be unable to give feedback to unsuccessful candidates. We will retain your details to keep you informed of other opportunities. National Skills Agency Ltd is acting as an Employment Agency in relation to this vacancy and is an Equal Opportunities employer we welcome applicants from all backgrounds.

Job Title: Business Development Manager Location: Remote (1 day per month in London) Salary: £40,000 + Commission Role Overview: Our client is seeking an experienced and results-driven Business Development Manager to drive employer engagement and generate new business opportunities within the IT and technology training sector. This role focuses on identifying, developing, and onboarding new employer partners, promoting both apprenticeship programmes and commercial tech training solutions. As the Business Development Manager , you will support organisations in building future-ready digital workforces through programmes such as Software Development, Cyber Security, Data, Cloud, and IT Support, working with both levy and non-levy employers to maximise the value of apprenticeships and funded training. This is a target-driven role. The ideal Business Development Manager will have strong sales capability, excellent relationship-building skills, and a solid understanding of the UK apprenticeship and digital skills landscape. Key Responsibilities Business Development Manager (IT & Tech) Proactively identify, target, and secure new employer partnerships across the IT, digital, and technology sectors, as well as organisations with digital skills needs. Promote a portfolio of IT and tech apprenticeship programmes and commercial training courses, positioning them as strategic workforce and upskilling solutions. Sell both funded apprenticeship pathways and commercial short courses/bootcamps in areas such as Software Engineering, Cyber Security, Data Analytics, AI, and Cloud Technologies. Achieve and exceed monthly and quarterly targets for new learner starts, employer sign-ups, and revenue (apprenticeships + commercial training). Build and manage a strong sales pipeline, from lead generation through to onboarding and account growth. Engage with levy-paying and non-levy employers, advising on how to utilise levy funds, co-investment, and commercial training budgets. Conduct detailed digital skills gap analysis with employers, recommending tailored IT training and apprenticeship solutions. Provide expert guidance on apprenticeship funding rules, levy transfer opportunities, and compliance, alongside commercial pricing options. Maintain accurate CRM records, track activity, and produce performance reports aligned to sales KPIs. Represent the organisation at tech events, networking forums, careers fairs, and industry conferences. Collaborate with internal delivery, curriculum, and learner engagement teams to ensure a seamless onboarding and high-quality client experience. Ensure all apprenticeship activity aligns with ESFA funding rules and regulatory requirements, while commercial offerings meet agreed service standards. Skills and Experience Proven experience in business development, B2B sales, or employer engagement, ideally within IT training, apprenticeships, or tech education. Strong understanding of the UK apprenticeship system, including levy and non-levy funding. Demonstrated success in selling training solutions, digital skills programmes, or SaaS/tech-related services. Ability to confidently engage and influence senior stakeholders, HR leaders, L&D teams, and technical decision-makers. Strong knowledge or interest in IT and technology disciplines (e.g., software, cyber, data, cloud). Excellent negotiation, influencing, and closing skills with a consultative sales approach. Highly organised, with the ability to manage multiple opportunities and a fast-moving pipeline. Experience using CRM systems, Microsoft Office, and digital sales tools. Self-motivated, target-driven, and commercially focused. Paul Feldman is the National Skills Agency Data Protection Officer. Your data will be stored until notice is given by you for it to be removed. Our Data Protection Policy will be forwarded to you on request. As we get a high number of applications we may be unable to give feedback to unsuccessful candidates. We will retain your details to keep you informed of other opportunities. National Skills Agency Ltd is acting as an Employment Agency in relation to this vacancy and is an Equal Opportunities employer we welcome applicants from all backgrounds.

Job Title: Business Development Manager Location: Remote (1 day per month in London) Salary: £40,000 + Commission Role Overview: Our client is seeking an experienced and results-driven Business Development Manager to drive employer engagement and generate new business opportunities within the IT and technology training sector. This role focuses on identifying, developing, and onboarding new employer partners, promoting both apprenticeship programmes and commercial tech training solutions. As the Business Development Manager , you will support organisations in building future-ready digital workforces through programmes such as Software Development, Cyber Security, Data, Cloud, and IT Support, working with both levy and non-levy employers to maximise the value of apprenticeships and funded training. This is a target-driven role. The ideal Business Development Manager will have strong sales capability, excellent relationship-building skills, and a solid understanding of the UK apprenticeship and digital skills landscape. Key Responsibilities Business Development Manager (IT & Tech) Proactively identify, target, and secure new employer partnerships across the IT, digital, and technology sectors, as well as organisations with digital skills needs. Promote a portfolio of IT and tech apprenticeship programmes and commercial training courses, positioning them as strategic workforce and upskilling solutions. Sell both funded apprenticeship pathways and commercial short courses/bootcamps in areas such as Software Engineering, Cyber Security, Data Analytics, AI, and Cloud Technologies. Achieve and exceed monthly and quarterly targets for new learner starts, employer sign-ups, and revenue (apprenticeships + commercial training). Build and manage a strong sales pipeline, from lead generation through to onboarding and account growth. Engage with levy-paying and non-levy employers, advising on how to utilise levy funds, co-investment, and commercial training budgets. Conduct detailed digital skills gap analysis with employers, recommending tailored IT training and apprenticeship solutions. Provide expert guidance on apprenticeship funding rules, levy transfer opportunities, and compliance, alongside commercial pricing options. Maintain accurate CRM records, track activity, and produce performance reports aligned to sales KPIs. Represent the organisation at tech events, networking forums, careers fairs, and industry conferences. Collaborate with internal delivery, curriculum, and learner engagement teams to ensure a seamless onboarding and high-quality client experience. Ensure all apprenticeship activity aligns with ESFA funding rules and regulatory requirements, while commercial offerings meet agreed service standards. Skills and Experience Proven experience in business development, B2B sales, or employer engagement, ideally within IT training, apprenticeships, or tech education. Strong understanding of the UK apprenticeship system, including levy and non-levy funding. Demonstrated success in selling training solutions, digital skills programmes, or SaaS/tech-related services. Ability to confidently engage and influence senior stakeholders, HR leaders, L&D teams, and technical decision-makers. Strong knowledge or interest in IT and technology disciplines (e.g., software, cyber, data, cloud). Excellent negotiation, influencing, and closing skills with a consultative sales approach. Highly organised, with the ability to manage multiple opportunities and a fast-moving pipeline. Experience using CRM systems, Microsoft Office, and digital sales tools. Self-motivated, target-driven, and commercially focused. Paul Feldman is the National Skills Agency Data Protection Officer. Your data will be stored until notice is given by you for it to be removed. Our Data Protection Policy will be forwarded to you on request. As we get a high number of applications we may be unable to give feedback to unsuccessful candidates. We will retain your details to keep you informed of other opportunities. National Skills Agency Ltd is acting as an Employment Agency in relation to this vacancy and is an Equal Opportunities employer we welcome applicants from all backgrounds.

Test Engineer (Data & Automation) Overview We are seeking an experienced Test Engineer to support the delivery of high-quality data and application solutions. This role focuses on automation, data validation, and production analysis within a modern cloud-based environment. You will play a key role in ensuring system reliability, improving testing frameworks, and driving best practices across engineering teams. This is a collaborative position requiring strong technical expertise, analytical thinking, and the ability to mentor others while working across complex data platforms. Key Responsibilities Design, develop, and maintain automated test frameworks to improve testing efficiency and coverage Analyse and interpret test results, identifying risks, issues, and areas for improvement Produce clear reports on testing activities, outcomes, and associated risks Automate data validation and application testing processes across distributed systems Investigate production issues using data analysis to identify root causes Work with orchestration tools (e.g., Apache Airflow) to monitor workflows and troubleshoot failures Validate data using tools such as Jupyter Notebooks and Amazon Athena Analyse data across multiple formats to ensure integrity and correctness of new functionality Support CI/CD practices using Git-based workflows and pipeline automation Participate in infrastructure and deployment activities, including containerisation and Infrastructure as Code Collaborate with cross-functional teams to translate business requirements into testable solutions Mentor and guide team members on testing methodologies and best practices Key Skills & Experience Technical Skills Proficiency in Python, SQL, and at least one additional programming language (e.g., Java) Experience with scripting languages such as Bash Strong understanding of automated testing frameworks and methodologies Hands-on experience with Apache Airflow and log analysis Familiarity with data processing tools such as Apache Spark Experience working with cloud platforms and services, including: Monitoring and logging tools Storage and data services Compute and container services Experience with CI/CD pipelines and version control systems (e.g., GitLab) Knowledge of Infrastructure as Code (e.g., Terraform) Familiarity with Docker and containerised environments Data & Analytics Strong data analysis skills, including working with structured and semi-structured data Experience validating and querying data using tools such as Athena and notebooks Understanding of data modelling concepts, including dimensional models and slowly changing dimensions Ability to generate realistic test data for various scenarios Additional Knowledge Understanding of distributed data platforms and big data environments (e.g., EMR) Knowledge of encryption principles (client-side and server-side) Awareness of production system monitoring and incident analysis Soft Skills Strong analytical and problem-solving abilities Excellent communication skills, with the ability to present findings clearly Proactive approach to identifying and mitigating risks Ability to mentor and support less experienced team members Collaborative mindset with experience working in agile delivery environments Working Arrangements UK-based role with flexible location Occasional travel required for team collaboration sessions and workshops

HR Systems Administrator Family Services Company - Hybrid role based in Birmingham Up to 55K plus bens My client who is a nationwide family services company has an exciting opportunity for an HR Systems Administrator. This HR Systems Administrator role requires an understanding of HR in a complex and regulatory driven organisation where you will support the delivery of a fully integrated, end-to-end operating model as part of this company s business-wide transformation programme. This is a hybrid role based in central Birmingham which will suit an experienced HR Systems Administrator who has significant experience working with major HRIS platforms, LMS, Recruitment, Payroll and Onboarding systems. In this role you will take ownership of the company s key people systems: including HRIS, Learning, Recruitment and related systems, managing upgrades and enhancements by ensuring these systems are reliable, secure, and user-friendly supporting the company s HR teams and providing support to internal users. In this HR Systems Administrator role, you will also play a central role in the company s transformation and digitisation projects, partnering with DevOps, BI and operational teams to enhance reporting, data integrity, and system integration, bridging the gap between technical system maintenance and the operational needs of the company s HR team, managing and optimising its digital HR Systems. Besides system maintenance and configuration, data integrity and security you will assist with the selection, implementation and optimisation of new HR applications, as well as reporting and analytics, working alongside the BI team to deliver accurate, timely and automated reporting by acting as the first point of contact for HR system queries, troubleshooting, and guiding staff on system functionality, process Improvement, vendor management and compliance with data protection and security standards. Essential skills: • 3 5 years experience in systems administration, IT engineering, or advanced support roles. • Experience with implementing and maintaining HR information systems. (e.g., Sage People, PeopleSoft, Workday, SAP SuccessFactors) • Experience in Learning Management Systems (e.g. Learn Amp or similar enterprise systems). Experience working with major HRIS platforms, LMS, Recruitment, Payroll and Onboarding systems. • Expertise in setting up user roles, permissions, and automated workflows, across several HR platforms. • Direct experience of working with solution providers/vendors to manage relationships and oversee change management processes. • Excellent interpersonal skills are critical to be able to convey ideas and concepts to all levels of colleagues and the ability to integrate into the team dynamic. • Good knowledge of UK GDPR. • A degree (or equivalent experience) in Computer Science, Information Technology, or related field. • Strong documentation discipline and commitment to systems hygiene. • Strong understanding of HR data reporting, workflow automation and integration. • Familiarity with service management tools such as ServiceNow, Jira/Confluence or Azure DevOps within Agile environments. • The confidence to collaborate across teams and communicate technical concepts clearly. Desirable skills: • Previous experience as an HR Systems Administrator in Family services or social care (although this is not essential). • Experience in supporting business decision making processes around software selection and implementation. • Ability to use SQL for querying databases and tools such as Excel to an advanced level. • Experience of integration with systems such as Power BI or Tableau to understand the delivery of statutory and performance reporting. This HR Systems Administrator role is paying a salary up to 55K plus an excellent benefits package. Please get in touch as soon as possible to find out more.