135 jobs found

Based in our Runcorn office, the Senior Data & Analytics Developer will provide technical leadership across our data and analytics landscape, designing and delivering high-quality, scalable analytics solutions using modern cloud technologies. The role plays a key part in shaping data strategy, mentoring developers, and enabling the business to make confident, data-driven decisions. Client Details We are Europe's leading producer of vinyls and in the top three worldwide. With an annual turnover of 5.1 billion, circa 4,300 employees and manufacturing, sales and marketing operations in 8 countries across Europe. Our portfolio consists of an extensive range of class-leading products arranged across General Purpose Vinyls; Specialty Vinyls; Organic Chlorine Derivatives; Chlor Alkali; Hydrogen and Performance Chemicals. Our annual commercial production volume is circa 10 million tonnes. Description The successful Senior Data & Analytics Developer will be responsible for but not limited to: Provide technical leadership for the design and delivery of Data & Analytics solutions, aligned to business priorities and industry best practice. Contribute to the definition and evolution of our Data & Analytics strategy, informed by emerging technology trends and hands-on delivery experience. Lead by example through the hands-on development of high-quality, sustainable solutions using cloud data platforms such as Snowflake and Microsoft Fabric. Collaborate closely with business stakeholders to understand processes and challenges, translating them into effective data and analytics solutions. Design, develop, and maintain robust data models, pipelines, and analytics products using industry-standard tools and practices. Own the end-to-end project lifecycle, including research, solution design, documentation, configuration, testing, implementation, go-live, and end-user training. Mentor and support developers within the team, promoting high standards of engineering, documentation, and professional conduct. Ensure all data assets conform to technical, cyber security, and regulatory standards, while meeting the needs of multiple business units. Profile The successful Senior Data & Analytics Developer will be able to demonstrate: Strong understanding of data warehousing principles, data modelling, and ETL/ELT patterns. Strong understanding of developing and maintaining complex data models. Advanced SQL skills, including query optimisation and performance tuning. Hands-on with cloud data platforms such as Snowflake and Microsoft Fabric. Ability to extract meaningful insights from complex and diverse data sets. Job Offer This is a hybrid role, 3 days a week in our Runcorn site, we have parking available and are easily commutable from the Liverpool, Cheshire & South Manchester area. We have a competitive benefits and rewards scheme which can be discussed including. Competitive salary ranging from £55,000 to £60,000 per annum. Permanent position based in Runcorn, providing stability and career growth opportunities. Comprehensive benefits package (details to be confirmed). A chance to work in the Chemical/manufacturing sector with a focus on innovation and analytics. If you are ready to take the next step in your career as a Senior Data & Analytics Developer and for more information, apply now.

Network Security Specialist, Fortinet, Palo Alto, Zero Trust, Zscaler, Automation Hybrid working 3 days in office (London) My client is seeking a Network Security Specialist to join his team in London. This is a newly created role and sits in the Network Team and will act as a conduit between the Network Team and InfoSec team. It is an ideal opportunity for someone who is looking to step up into a technical authority/delivery lead position. As a Senior Network Security Specialist, you will design, implement and govern the network security controls that protect their modern, high-performance enterprise network. You will take a hands-on lead role in shaping the network security roadmap, defining policies and standards and driving the adoption of Zero Trust and micro-segmentation across the organisation. Skills and experience required: Experience defining/implementing network segmentation and micro-segmentation strategies Zero Trust networking principles and identity-aware access controls Designing, implementing and optimising firewall and proxy security policies. Deep hands-on experience with: Fortinet (FortiGate, FortiManager, FortiAnalyzer) Zscaler (ZIA, ZPA, Zero Trust Exchange) Palo Alto Networks (PAN-OS, Panorama, policy design) - Desirable Experience securing hybrid environments spanning on-prem, cloud, and containerised platforms. Automation and infrastructure-as-code approaches for deploying security controls. Routing, switching, load balancing and security architectures, with extensive operational and engineering experience. TCP/IP, BGP, OSPF, VLANs, VRF, VPN, VXLAN, NAT, ACLs, DNS. Packet capture and network analytics and monitoring tools. Desirable:Exposure to security controls and design for Kubernetes/OpenShift Experience within highly regulatated environments If this is of interest and you have the required skills, please submit your CV over for immediate consdieration. McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

Senior Data Engineer - AWS / ETL / Python Location: West midlands - mostly remote with some trips to office Salary: 65K - 80k An exciting opportunity has arisen for an experienced Senior Data Engineer to join a growing technology-focused organisation delivering scalable, enterprise-grade data solutions within a modern cloud environment. This role is ideal for someone who enjoys building robust data platforms from the ground up and working across large-scale ETL, cloud-native services, API integrations, and data governance initiatives. Key Responsibilities Design, build and maintain scalable ETL pipelines and data ingestion processes across a wide variety of structured and unstructured data sources Develop data extraction solutions using RESTful APIs and modern integration techniques Work extensively with AWS-native data and analytics services including Glue, Athena, DataBrew, Lake Formation, EMR, MSK and Kinesis Implement data quality, profiling and validation processes to ensure integrity, accuracy and completeness of datasets Contribute within an Agile delivery environment, supporting the design, development and deployment of Java and REST-based domain data services Support scalable, high-performance systems aligned to modern MACH architectural principles Ensure best practice around data governance, security, privacy and compliance standards Develop and optimise data processing solutions using Python and Java Deliver high-performing, scalable solutions capable of supporting growing business demand Key Skills & Experience 5+ years' experience within Data Engineering or related development roles Strong SQL development and optimisation experience Hands-on experience across AWS technologies including S3, Redshift, RDS, MySQL and PostgreSQL Strong understanding of data modelling, data structures, indexing, normalisation and reporting principles Experience tuning and optimising complex queries and large datasets Ability to translate business requirements into scalable technical data solutions Experience implementing and maintaining data governance and data standards Strong analytical and problem-solving capability with a passion for learning new technologies Excellent communication and stakeholder engagement skills, with the ability to present technical concepts clearly to both technical and non-technical audiences This is an excellent opportunity to join a forward-thinking team working on modern cloud-based data platforms and enterprise-scale transformation projects. Please apply asap if interested - GleeIT At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer. By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data.

Job Title: Senior UX Researcher - Technical Products Location: London - once a week in the office Salary/Rate : 690 per day inside IR35 Start Date: 08/06/2026 Job Type: Contract - 3 months initially Company Introduction We have an exciting opportunity now available with one of our sector-leading publishing clients! They are currently looking for a skilled Senior UX Researcher to join their team for an initial three-month contract. Job Responsibilities/Objectives You'll lead our understanding of user behaviours, needs, and motivations, setting the direction for UX Research across a business or product line. You'll bring expertise in a wide range of research and testing methods, and your insights will directly influence strategy and design decisions. Along the way, you'll also play a supportive role in mentoring fellow researchers, helping the team grow stronger together Focuses on customer and user needs by understanding use cases, integrating UX feedback into design, aligning teams to meet expectations, sharing insights, and analysing market segments and competitors. Applies creative problem solving by thoroughly analysing briefs, exploring multiple perspectives, collaborating with stakeholders and designers, and using research insights and reflection to guide and test solutions. Leads user-centred product design by applying diverse UX research techniques, mentoring junior team members, producing research documentation, and collaborating with UX and visual designers to shape both structure and visual identity. Uses data-driven analysis and testing to inform strategy by regularly testing with users, establishing key metrics, iterating research methods, summarising insights, and identifying data gaps to improve decision-making. Demonstrates strong technical research skills by expertly using relevant tools and software across varied contexts, mentoring junior researchers, and collaborating effectively with tech teams. Practices self-development by taking ownership of growth, engaging in regular feedback, aligning with business needs, learning from experience, and leveraging networks to build challenges into current work. Effectively solves problems by gathering facts from multiple sources, analysing issues thoroughly, and independently managing day-to-day challenges. Is recognised as an innovative thinker who develops and implements new ideas, integrates diverse perspectives, and challenges the status quo to create fresh opportunities. Communicates clearly and effectively by giving direction, actively listening and questioning to understand others, and providing business context to aid understanding. Encourages collaboration and teamwork by fostering open communication, resolving conflicts, removing performance barriers, and promoting cross-team cooperation. Effectively builds strong working relationships by collaborating respectfully, resolving conflicts constructively, and fostering team cohesion. Required Skills/Experience The ideal candidate will have the following: Deep understanding of UX research best practices and tools. Design and oversee user research initiatives, leveraging methods such as ethnographic studies, usability testing, and analytics. Build strong relationships across teams and functions, fostering collaboration in research and design efforts. Bachelors or Masters degree in a design subject (Psychology, UX, HCI, Product Design, Design, Graphic Design, etc discipline) is preferred, but not required. Previous experience working on technical products for development and/or engineering teams could be beneficial. If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.

MLOps Engineer, Palantir Platform Fully Remote 6 Month Contract Outside IR35 £550 to £650 per day The Company They are a large, data driven organisation operating at scale, with a strong focus on using advanced analytics and machine learning to inform decision making. The business invests heavily in its data platforms and engineering capability, creating an environment where robust MLOps practices are essential. Teams are collaborative, delivery focused and used to working with senior technical stakeholders. The Role and Deliverables Design, build and maintain MLOps pipelines on the Palantir Foundry platform. Enable reliable deployment, monitoring and retraining of machine learning models in production. Partner with data scientists and engineers to operationalise models efficiently. Implement best practices around CI/CD, model versioning and data quality. Support platform optimisation, scalability and reliability across environments. Produce clear technical documentation to support ongoing delivery. Your Skills & Experience Strong experience in MLOps or machine learning engineering within production environments. Hands on capability with Palantir Foundry, including pipelines and operational workflows. Solid Python skills and experience supporting end to end ML lifecycles. Practical knowledge of CI/CD, containerisation and cloud based infrastructure. Confidence working with complex data systems and multiple stakeholders. How to Apply If you are an MLOps Engineer with Palantir experience looking for a meaningful contract project, please apply with your details below!

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.

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.

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.

Role Title: Data System Analyst Contract: 12 months Location: Marlow (hybrid) SRG are working with a global leader in the aesthetics industry, committed to driving innovation and providing high-quality products and services. Our client is dedicated to empowering confidence by providing the most advanced aesthetic solutions and enhancing patient outcomes. Role Overview We are seeking a talented and driven junior developer to join our clients' Data and Analytics team. This role offers a unique opportunity to contribute to the delivery of real, user-facing products built on Palantir Foundry - one of the most renowned and sought-after platforms in enterprise data and analytics. Working at the intersection of software engineering and data, you will gain hands-on-experience across a modern analytics stack - including React and TypeScript. The ideal candidate will have a strong analytical mindset, creative design thinking and a passion for extracting and delivering insights. Key Responsibilities Application Development & Visualisation Design, build, and iterate on user-facing application features using React and TypeScript within the Palantir Foundry ecosystem Apply creative design thinking to develop intuitive interfaces and data visualisations that translate complex datasets into clear, actionable insights Collaborate with cross-functional teams to gather requirements and deliver solutions that meet end-user needs Data Management & Integration Support the collection, processing, and integration of large datasets from multiple sources Contribute to data pipeline development, ensuring accuracy, consistency, and reliability across platforms Participate in data governance and quality assurance processes in line with established standards Project Support & Stakeholder Engagement Contribute to ongoing data and analytics projects across their full lifecycle, from discovery through to delivery Assist in the development and implementation of data-driven solutions to address business challenges Communicate findings and recommendations to stakeholders in a clear and structured manner Learning & Professional Development Build practical expertise in React, TypeScript, Python, and PySpark within a Palantir Foundry environment Apply and develop best practices in data engineering, visualisation, and business intelligence Engage with mentorship and guidance from senior members of the team Qualifications: A bachelor's or master's degree in computer science, Data Science, Statistics, Information Systems, or a related discipline, or equivalent demonstrable experience Foundational experience with React and JavaScript/TypeScript, whether through academic, personal, or professional work A creative eye and interest in UI/UX design, with an appreciation for how data can be presented in ways that are both intuitive and impactful Working knowledge of SQL, with exposure to Python or PySpark desirable but not essential Strong analytical and problem-solving skills, with a passion for extracting meaning from complex datasets Effective communication skills, both written and verbal, with the ability to convey technical concepts to non-technical audiences Ability to work both independently and collaboratively within a team Maximum 2 years' experience Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Are you looking for an exciting opportunity to join a friendly and ambitious team who are always finding new ways to drive better use of data, right in the heart of central government? If so, we'd love to hear from you ! About the Team The NISTA Data & Insight Team brings together data scientists, engineers, analysts and digital professionals who genuinely care about learning from each other, sharing ideas and making things happen. Together we turn rich, high-value project data into analysis, insights and tools that support people across government, from project delivery teams to senior leaders in HMT, the Cabinet Office and No10, to make decisions that shape how the UK delivers its biggest and most complex projects. Working with the Government Major Projects Portfolio, the 10-year Infrastructure Pipeline and other project delivery data, your work will directly influence how major programmes are planned, delivered and improved. Over the last two years, the team has undergone a significant transformation, digitising large-scale project data collection and overhauling our digital and data infrastructure. This enables us to create high-impact dashboards and analytics as well as drive the development of AI tools. It means we can develop and share quickly, resulting in rapid iterative development with our users. And we continue to evolve, improve our capability and develop our skills. You'll be joining a supportive, inclusive and collaborative environment, where you can grow your skills, tackle meaningful challenges and make a real impact on the future of government delivery. About the Job In this role, you will: Design, build and evolve secure, well governed cloud data platforms and pipelines that reliably support complex analytical and operational needs. Provide strong technical leadership to the team, including setting direction, reviewing critical code, mentoring engineers and upholding high engineering standards. Define and enforce standards for data engineering, pipeline development and deployment to ensure platforms are scalable, maintainable and safe to change. Take hands on ownership of the most complex or high risk areas of the data platform to resolve issues, improve performance and reduce operational risk. This includes being fully across potential data security risks. Work closely with analysts, data scientists and infrastructure colleagues to shape robust technical designs that enable high quality analysis and insight. Act as a trusted technical adviser to senior stakeholders, clearly explaining options, risks and trade offs relating to data infrastructure, security and compliance. Drive continuous improvement in data services, improving quality, resilience and user experience for users and cross government partners. Design and create accessible data engineering solutions that can be utilised and understood by the wider team of analysts and scientists Build a high performing, motivated team by fostering a culture of learning, experimentation and professionalism, and by being an effective, supportive line manager. About You This role requires someone who can operate at pace across strategy and delivery, leading by example through hands on technical expertise while developing others and enabling the organisation to make effective, responsible use of modern data engineering by clearly explaining technical risks, options and trade-offs to senior stakeholders. Some of the Benefits our people love! Generous Annual Leave - 25 days (rising to 30 after 5 years), plus public holidays and the King's birthday. Outstanding Pension Scheme - Defined Benefit pension with employer contributions of 28% Parental Leave Packages - Including 6 months' occupational pay for maternity/adoption, shared parental leave options. Flexible & Hybrid Working - Options include part-time, job-share, compressed hours, flexitime, and hybrid working (where business needs allow). Advance Schemes & Discounts - Rental deposit, cycle-to-work, SmartTech, season ticket loans, and access to HM Treasury's benefits portal for a wide range of discount codes. For more information about the role and how to apply, please follow the apply link. If you need any reasonable adjustments to take part in the selection process, please tell us about this in your online application form, or speak to the recruitment team at .

Interim Head of Software Engineering Contract Inside IR35 London / Hybrid We are supporting a large, complex organisation undergoing significant technology transformation in the search for an experienced Interim Head of Software Engineering . This is an initial 3-6 month interim assignment focused on providing stability, technical leadership, and engineering oversight during a period of substantial change and ongoing delivery. This role is less about owning every aspect of a traditional permanent Head of function remit, and more about ensuring the engineering operation continues to run effectively, supporting strategic initiatives, and providing senior technical leadership across the organisation. The Opportunity You will lead an established engineering function of approximately 20 FTEs across: Software Development Integration BI & Analytics Engineering governance / project approvals Working closely with senior stakeholders, you will provide pragmatic leadership across BAU operations while contributing technical and engineering input into a broad portfolio of transformation programmes. Current initiatives include: Large-scale AI and automation programmes Multi-cloud transformation across AWS and Azure Cloud migration activity Central data repository initiatives Cost optimisation programmes Introduction of new products and systems What We're Looking For We are keen to speak with candidates who can demonstrate: Strong software engineering leadership background Experience operating within complex enterprise environments Ability to stabilise and lead engineering teams in an interim capacity Credibility providing technical oversight and engineering direction to projects and programmes Strong stakeholder engagement and governance capability Integration experience / awareness highly desirable Previous Higher Education sector experience is strongly preferred Contract Details Initial 3-month contract with likely extension to 6 months Inside IR35 800- 850/day (inclusive of fee, excluding VAT) Hybrid working / London-based environment Interview process commencing shortly Start date required by mid-June at the latest

Data Architect Competitive Salary Central London - Hybrid, 3 days per week in the office 35-hour Working Week - Flexible Hours We are representing a large European transport business, employing around 35,000 people across the UK and Europe, who are in the midst of an ambitious enterprise-wide modernisation programme. Data is central to that agenda, and this role sits at the heart of it. This is a brand-new role within the business, sitting within the central IT function and reporting into the BI Product Manager. As Data Architect, you will be responsible for defining and maintaining the overall data architecture strategy that underpins enterprise-wide BI and self-service analytics capabilities. You will establish the technical vision, standards, and frameworks that ensure data solutions are scalable, secure, and fit for a large, complex, multi-country organisation. Working closely with Lead BI Engineers, BI Developers, and senior stakeholders, you will serve as the technical authority on all matters of data architecture, balancing architectural excellence with practical delivery, and playing a critical role in evaluating and adopting new technologies. We are looking for: Solid experience in data architecture, with a track record of designing and delivering enterprise-scale data solutions Proficiency in data modelling techniques and strong SQL skills Experience with cloud data platforms, particularly AWS (Redshift, Athena, S3, Glue); exposure to Azure or GCP is beneficial A good understanding of modern data engineering patterns including ETL/ELT, data lakes, lakehouse, and warehousing architectures Experience with data governance frameworks, metadata management, and regulatory compliance It would be a bonus if you have: Familiarity with emerging technologies such as Apache Iceberg, Delta Lake, or data observability tooling Experience leading architecture workshops with both technical and non-technical stakeholders A background providing technical mentorship to BI Engineers or Developers To apply, please submit your CV. Shortlisted candidates will be contacted within 5 business days.