59 jobs found

The Client We are delighted to be ,once more, recruiting on behalf of our prestigious client, a newly created JV Technology Consulting business formed by global leaders in the fields of management consulting and investment fund management. Based in Newcastle upon Tyne at their enviable facilities, my client seek a Data Engineer for Full-Stack Data Products, to join their elite Tyneside team as part of rapid expansion of the business to cope with client demand and continued excellent performance. About the Role As a Data Engineer you will play a key role in developing, building and maintaining scalable data intensive systems, pipelines and platforms that power analytics, operational systems, and AI-driven products. This role combines full-stack or backend software engineering with modern data engineering, requiring someone with a broad skillset and who excels in solving problems across application development, data pipelines, cloud infrastructure, and platform automation. Key responsibilities include: Software Design : Develop, and maintain production-grade applications and APIs. Application Build : Develop reusable, well-tested code following engineering best practices. Architecture : Participate in architecture and technical design discussions. Testing: Write automated unit, integration, and end-to-end tests. Data Pipeline Development : Design and develop sophisticated data pipelines to import data from internal and external sources and seamlessly integrate into data platforms. Maintenance & Data Reliability : Ensure systems are well-maintained, enabling uninterrupted access to crucial data. Continuously verify data quality and integrity to support decision making. Continuous Improvement & Collaboration : Collaborate with internal and external stakeholders to streamline data accessibility and usability. Drive innovation by adopting advanced analytics technologies and methodologies. Cloud infrastructure : Deploy cloud-native solutions using Infrastructure as Code and collaborate on cloud architecture and optimisation About You To be considered for the role, it is essential that you possess exemplary academic prowess, with a 2:1 or 1st in a relevant subject (e.g. Computing Science, Maths, Physics etc.) from a leading University and accompanying demonstrable experience gained working as a Data Engineering professional. It would be highly advantageous if you possessed experience working in the Financial Services Sector. Key Selection Criteria Expertise in designing and building data intensive applications and pipelines, with an open mindset on choice of tools Strong proficiency in Python and SQL, with a focus on writing clean, performant code to process and manage large volumes of data Experience designing and implementing complex data-matching, reconciliation, and entity-resolution solutions across multiple data sources Distributed computing for data intensive work such as Spark and Databricks Cloud platforms including AWS, Azure and GCP Orchestration tools like Airflow Modern DevOps practices including version control, CI/CD, and infrastructure as code using Terraform or Kubernetes Experience building scalable backend applications Understanding of distributed systems and software architecture. Ability to test and troubleshoot data products with a track record of improving data reliability and quality Excellent communication skills and the ability to work effectively and openly within a team-based environment Self-motivated, detail-oriented, and eager to learn new technologies and methodologies This is an excellent opportunity to join a leading business that only employs exceptional, collaborative and passionate people. This rapid expansion phase is the ideal time to be joining such a prestigious business.

Senior Data Manager 90k - 120k per annum + Bonus and Benefits London, Manchester or Glasgow / Hybrid Are you ready to help organisations transform how they use data and AI? Do you thrive on designing cloud-native platforms, solving complex technical challenges and turning emerging AI technologies into real business value? This is your chance to join a market-leading technology consultancy at the forefront of Data & AI transformation. You'll work with major organisations to design and deliver next-generation data platforms that enable AI, advanced analytics and intelligent automation, while developing your own expertise in one of the fastest-growing areas of technology consulting. If you're passionate about cloud architecture, modern data platforms and AI innovation, this is an opportunity you won't want to miss. What you'll be doing You'll play a key role in helping clients design, build and optimise enterprise-scale data platforms that underpin AI-driven transformation. Your responsibilities will include: Designing and delivering secure, scalable and cost-effective cloud-native data platforms across AWS, Azure and GCP to support analytics, AI and operational workloads. Leading cloud transformation initiatives, migrating legacy environments to modern data platforms including Snowflake, Databricks, BigQuery, Synapse, Redshift and other cloud-native technologies. Building Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) for AI and advanced analytics solutions, ensuring they align with business objectives and deliver measurable value. Automating infrastructure, deployments and data pipelines using Infrastructure-as-Code, DevOps, CI/CD and cloud automation tools including Terraform, ARM Templates and CloudFormation. Advising clients on enterprise data strategy, architecture roadmaps and platform design, engaging senior stakeholders and translating complex technical concepts into clear business outcomes. Applying modern architecture principles including Data Mesh, Data Fabric and cloud-native AI architectures while championing best practice, governance and user-centric design. Contributing to business development through proposals, bids and client presentations, while supporting thought leadership, innovation initiatives and continuous improvement across the wider practice. What we're looking for You'll combine strong technical expertise with consulting experience and the ability to influence stakeholders at every level. We're looking for: Significant experience designing enterprise data platforms, cloud architectures and AI-enabled solutions within a consulting or client-facing environment. Around 10+ years' experience working with modern data technologies and architecture, including at least 6 years designing cloud-based data platforms using AWS, Azure or GCP. Hands-on expertise with technologies such as Snowflake, Databricks, Synapse, BigQuery, Redshift or similar enterprise data platforms. Strong knowledge of Infrastructure-as-Code, DevOps, CI/CD, networking, security and identity management for modern cloud environments. Experience designing ETL/ELT solutions, cloud migrations and modern architecture patterns including Data Mesh and Data Fabric. Excellent stakeholder management, consulting and communication skills, with experience shaping strategy, leading architecture discussions and delivering client value. Eligibility for UK Security Clearance (SC). Desirable: Cloud certifications (minimum intermediate level), AI data architecture expertise, Agile delivery experience, cloud cost optimisation knowledge and experience working within the UK Public Sector, Financial Services, Retail, Telecommunications or Transport sectors. If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Platform Architect, Cloud Data Architect, Enterprise Data Architect, Principal Data Architect, Data Engineering Consultant, Cloud Architect, AI Platform Architect, Data & AI Consultant, Data Solutions Architect, Azure Data Architect, AWS Data Architect, GCP Data Architect, Data Engineering Lead, Solution Architect, Snowflake, Databricks, Synapse, BigQuery, Redshift, AWS, Azure, Google Cloud Platform (GCP), Terraform, CloudFormation, ARM Templates, DevOps, CI/CD, ETL, ELT, Data Mesh, Data Fabric, AI Architecture, Infrastructure-as-Code. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.

Data Engineering Lead London/Hybrid 12 months contract Day rate 745 via Umbrella Company Our commitment is to provide equal opportunity regardless of, for example, your gender, age, ethnicity, disability, sexual orientation or beliefs. We also engage with employers to develop programmes and pathways that embrace diverse talent and promote more inclusive employment worldwide through partnerships and other initiatives. We recognise and celebrate the value of difference and how it makes us faster, smarter and more innovative than our competition. My client is one of the largest financial institutions headquartered in Japan, with an established presence across all consumer and corporate banking businesses. Through its subsidiaries and affiliates, they offer a diverse range of financial services, including commercial banking, leasing, securities, credit card, consumer finance and other services. They are looking for an experienced Data Engineering Lead to join the team on an initial 12 month contract with the potential to extend. Working Monday to Friday, standard office hours you will be hybrid working being in the office 2-3 days a week. In this role you will be managing a multi-disciplinary Agile delivery squad responsible for the ingestion, transformation and delivery of critical data assets and reporting capabilities. This is a high-impact contract role within a large-scale enterprise data environment, leading delivery across complex programmes and working with stakeholders across Technology, Data, Finance, Risk and Business functions. The Opportunity You will take ownership of a dedicated Agile squad comprising Data Engineers, Reporting Engineers, Business Analysts and Testers, ensuring the successful delivery of data products and reporting solutions into a strategic enterprise data platform. Working within a Scrum of Scrums model, you will coordinate delivery activities across multiple parallel squads, balancing competing priorities, managing dependencies and ensuring programme milestones are achieved. This is a hands-on delivery leadership position requiring strong Agile expertise, stakeholder management capability and a deep understanding of data environments within corporate or investment banking. Key Responsibilities Lead the delivery of data platform initiatives from inception through to production deployment. Manage and coordinate a cross-functional Agile squad of approximately 6-10 resources including Data Engineers, Reporting Engineers, Business Analysts and Testers. Facilitate all Scrum ceremonies including Sprint Planning, Daily Stand-ups, Reviews and Retrospectives. Own sprint execution, delivery planning and backlog management. Work closely with Product Owners and programme stakeholders to prioritise work and manage delivery expectations. Identify, manage and remove delivery impediments and risks. Coordinate dependencies across multiple Agile teams operating within a wider Scrum of Scrums framework. Ensure appropriate governance, reporting, metrics and transparency through JIRA and management information. Drive consistency and discipline around Agile delivery practices, backlog management and requirements quality. Partner with Release Management, Architecture, Data Office and Programme teams to ensure successful delivery outcomes. Provide regular updates to senior stakeholders regarding progress, risks, issues and delivery milestones. What We're Looking For Experience delivering technology or data initiatives within Agile environments. Extensive experience leading Scrum teams and operating within large-scale Scrum of Scrums environments. Strong experience delivering Data Engineering, Data Platform or Data Analytics programmes. Proven track record of managing complex delivery portfolios with multiple workstreams and dependencies. Deep understanding of data domains within corporate or investment banking. Experience working with distributed and offshore delivery teams. Strong stakeholder management skills with the ability to engage technical and non-technical audiences. Excellent knowledge of Agile methodologies, delivery governance and JIRA. Experience holding accountability for delivery outcomes against challenging programme timelines. Experience delivering solutions within Data Lakehouse environments. Understanding of Medallion Architecture. Exposure to Databricks platforms and modern cloud-based data ecosystems. Previous experience working with enterprise data transformation programmes. Qualifications Degree educated or equivalent professional experience. Agile certification or significant practical Agile delivery experience. Candidates must 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. 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.

Job title Data Science Engineer Job Type Contract (6 Months) Client / Industry Software Location Reading (Hybrid/ Remote) Key roles and responsibilities Design and deliver a sophisticated EDU rSAM (remaining sales addressable market) model to quantify untapped revenue opportunities across global education markets. Partner cross-functionally with key stakeholders to deeply understand the complexities of the education sector, including diverse subscription models, institutional procurement structures, and consortium-based purchasing dynamics. Collaborate with Data Engineering teams to integrate and operationalise third-party datasets e.g. student population and institutional metrics to create rich, actionable customer intelligence profiles. Work closely with the Product Marketing and Sales Strategy teams to align analytical outputs with go-to-market strategies, pricing frameworks, and commercial objectives at the product-offering level. Design, build, and productionise scalable end-to-end data pipelines incorporating normalised customer attributes, behavioural signals, and finalised rSAM outputs. Combine the EDU rSAM with advanced propensity modelling techniques to optimise education-focused sales motions and accelerate customer growth opportunities. Deliver high-impact strategic insights on market opportunity sizing and customer propensity trends to senior leadership, enabling data-driven decision-making and long-term commercial planning. Skills Looking for: 5+ years of advanced SQL expertise, with a strong track record in querying, cleansing, integrating, and analysing complex datasets at scale, ideally within Databricks environments. Strong Python capabilities for data manipulation, statistical analysis, and predictive modelling. Demonstrated success in developing, validating, and continuously optimising data science models that directly contribute to revenue growth and commercial performance. Experience with propensity modelling and related predictive analytics techniques is highly advantageous. Exceptional ability to translate complex analytical findings into clear, compelling insights for senior stakeholders and cross-functional audiences. Strong analytical thinking and problem-solving skills, with proven success operating in fast-paced, high-growth environments with evolving business priorities. GCS is acting as an Employment Business in relation to this vacancy.

We are partnering with an established organisation currently investing significantly in its AI and generative search capabilities. They are looking to appoint a Senior AI Engineer to play a key role in designing and delivering production-grade AI systems focused on accuracy, scalability, and real-world impact. This position sits within a growing AI function and will focus heavily on Retrieval-Augmented Generation (RAG), agentic workflows, evaluation frameworks, and LLM optimisation. Key Responsibilities: Design and develop scalable RAG pipelines and generative AI workflows Build solutions using LangChain, LangGraph, and LlamaIndex Implement retrieval strategies including reranking, chunking, and retrieval fusion Develop agentic workflows with a focus on robustness and maintainability Contribute to experimentation, evaluation, and AI quality frameworks Support fine-tuning, instruction tuning, and model optimisation initiatives Mentor junior engineers and contribute to technical best practices Key Requirements: Strong Python engineering experience Commercial experience building production-grade AI/ML systems Hands-on experience with RAG architectures and LLM workflows Experience with LangChain, LangGraph, and/or Llama Index Understanding of evaluation methodologies for generative AI Experience working within scalable cloud environments (AWS preferred) Ability to operate in a senior or technical leadership capacity Desirable: Graph-RAG experience Databricks exposure Experience deploying customer-facing AI systems This is an excellent opportunity to join a forward-thinking organisation where AI is a genuine strategic priority and engineering quality is highly valued. 51752MSR INDLON The Portfolio Group are acting on behalf of our client in recruiting for this position.

AWS / Data Platform / Cloud / Security Architect Remote Working Outside IR35 Market Rates Start Date - September 2026 The Opportunity: Our client is seeking an experienced Data Platform, Cloud or Security Architect to support the design of a strategic Unified Data Platform for a major UK public sector organisation. This is a high-profile architecture engagement that will help shape the future data capabilities of a nationally significant programme. Working alongside senior architecture consultants and client stakeholders, you'll play a key role in refining the target architecture, ensuring alignment with enterprise architecture, security, governance, operational and non-functional requirements, whilst supporting the organisation through internal architecture review and approval processes. This engagement offers the opportunity to influence the design of a modern cloud-native data platform built around AWS, Databricks and Enterprise Data Governance principles. Skills and Experience: Essential Proven experience operating as an AWS- focussed Data Platform Architect, Cloud Architect, Security Architect or Enterprise Architect within large-scale, complex environments. Strong experience designing modern cloud-based data platforms using AWS. Experience designing enterprise-scale Data Lake and Lakehouse architectures. Strong knowledge of Amazon S3 storage strategies, including Bronze, Silver and Gold data layer architectures. Experience designing scalable data ingestion, integration and orchestration solutions. Strong understanding of Databricks architecture and data engineering patterns. Experience developing enterprise architecture documentation and supporting architecture governance processes. Strong understanding of Data Governance, security and operational best practice. Experience defining non-functional requirements including resilience, scalability, availability, performance and operational support. Excellent stakeholder engagement and communication skills, with the ability to present complex technical concepts to both technical and non-technical audiences. Desirable Experience designing or implementing solutions involving: AWS Data Services Databricks Lakehouse Platform Enterprise Data Governance Cloud Security Architecture Data Integration API-led Architecture Data Quality Frameworks Metadata Management Data Lineage Observability and Monitoring Enterprise Architecture Frameworks Public Sector or Government Digital programmes Technologies Experience across a number of the following technologies would be highly advantageous: AWS / Amazon S3 / Databricks / Lakehouse Architecture / Data Lakes / Data Governance / APIs / Cloud Integration / Enterprise Architecture / Security Architecture / Cloud Security / Data Engineering / Analytics Platforms Role and Responsibilities: You will refine and develop the target architecture for a new Unified Data Platform., ensuring alignment with enterprise architecture, security standards, governance frameworks and operational requirements. Producing high-quality architecture documentation, technical designs and supporting artefacts and design scalable ingestion patterns supporting databases, APIs and file-based integrations. You be involved with defining Data Lake and Lakehouse architecture using Amazon S3, supporting Bronze, Silver and Gold data layers, as well as design transformation, orchestration and processing patterns using Databricks and supporting AWS services. Developing secure and scalable data consumption patterns supporting reporting, analytics, operational applications and APIs, you will be helping to define architecture for governance, security, observability, resilience and operational support, as well as supporting technical governance, architecture review boards and design assurance activities. The role will see you collaborating closely with enterprise architects, security specialists, engineering teams and business stakeholders to ensure the proposed architecture aligns with strategic objectives. NB: The successful candidate will be required to undergo a basic level of security clearance before undertaking the assignment (around one weeks lead-time). Applications: To learn more about this newly created opportunity consulting as an AWS-focused Data Architect for an initial 3-month engagement, operating on a remote-working basis; please call and speak with Edward Laing here at ISR Recruitment or please send through a copy of your latest online profile and/or CV for an immediate call back in the strictest confidence. If you're an experienced Data Platform Architect, Cloud Architect, Security Architect or Enterprise Architect with strong AWS, Databricks and Data Governance expertise , and you're looking to shape the future architecture of a major public sector data platform; p lease contact Edward Laing here at ISR to learn more about our client and how they are leading the way in developing the next generation of technical solutions through innovation and transformational technology?

Technical Lead / Engineering Lead London (Hybrid, 3 days onsite) Perm Up to 100k + 15% bonus Overview: We're looking for experienced engineering-led Tech Leads who have strong exposure to data engineering and enterprise data platforms, but these are not pure data candidates. Candidates should have experience with technologies such as Snowflake, Databricks, SQL and Python, alongside an understanding of on-premise lakehouse architectures, data architecture and enterprise systems. As with all of our Tech Lead hires, we're looking for individuals with a strong engineering background who can demonstrate leadership, technical best practice (not just in data engineering!) and an understanding of the wider engineering landscape. We are particularly interested in candidates who are actively adopting AI within software engineering environments and are comfortable using AI tooling to improve delivery and productivity. Strong engineering foundation Python Snowflake Databricks SQL Comfortable being hands-on in code when needed (e.g. CI/CD, Terraform, Kubernetes) Proven experience leading teams and mentoring engineers Clear, articulate communicator with strong stakeholder engagement Experience in end-to-end delivery, ideally within consulting or client-facing environments Security clearance eligibility (DV or SC advantageous)

Senior Full Stack Engineer 85,000 to 105,000 Permanent Remote, with occasional London office visits The opportunity Our client is hiring a Senior Full Stack Engineer to take ownership of building the next generation of customer-facing software in the energy market. The business operates in a complex, high-value sector and is using technology, data, and strong product thinking to modernise an industry that has historically been underserved by great software. We have already recruited 4 people into the business, and all 4 are still there. We know the company and team well and are pleased to be supporting them again on this important hire. This is a genuinely high-impact opportunity for an experienced engineer who is equally comfortable across frontend and backend development. You will take the lead on building new products and developing the codebase, with significant autonomy over technical decisions, architecture, and delivery. The position can be fully remote, although the business would welcome occasional visits to its Mayfair office for collaboration and team time. The role This is a true full stack position. They need someone strong in React and TypeScript who can build polished, reliable customer-facing software, but who is equally capable of contributing across backend services, APIs, application logic, databases, and data-rich workflows. The platform supports complex energy processes across areas such as billing, metering, consumption, reporting, and asset performance. You will be responsible for taking those workflows and turning them into clear, scalable products that customers genuinely value. Initially, you will lead much of the engineering work independently. You will not, however, be expected to operate without support. The business can provide access to external engineering expertise and additional coding support where needed as the platform and codebase develop. This role offers genuine autonomy. You will have the freedom to make sensible technical decisions, shape engineering standards, and influence how the product evolves as the company grows. What you will be doing Leading the development of customer-facing products from initial concept through to production Building modern frontend applications using React and TypeScript Designing and developing backend services, APIs, integrations, and application logic Working with Python, SQL, databases, and data platforms Taking ownership of architecture, technical decisions, and engineering standards Helping define the future engineering team and technical direction as the business expands What they are looking for Strong commercial experience across both frontend and backend engineering Excellent React and TypeScript capability Strong backend development experience, ideally including Python Good experience with APIs, databases, SQL, and system integrations A track record of leading projects or taking ownership of major technical workstreams Experience building customer-facing software from scratch Strong product instincts and the ability to think beyond individual tickets Confidence making technical decisions and working with a high level of autonomy Excellent communication skills and the ability to work closely with technical and non-technical stakeholders Personality and attitude are particularly important. They want someone positive, proactive, collaborative, and genuinely enthusiastic about building great software. The right person will bring energy to the team, take responsibility, and approach challenges with a practical and constructive mindset. Nice to have Startup or scale-up experience Energy, utilities, trading, sustainability, or fintech experience Data visualisation experience Experience working with Databricks or similar data platforms Experience using AI-assisted development tools Previous involvement in shaping engineering teams, standards, or architecture Why join A salary of 85,000 to 105,000 + Bonus The flexibility to work remotely Occasional collaboration from the Mayfair office Real autonomy over what gets built and how it is delivered Support from external engineering resources when required Broad exposure across frontend, backend, data, architecture, and product Long-term scope to help build and shape the engineering function A growing business operating in a complex and important energy market Summary This is an excellent opportunity for a Senior Full Stack Engineer who wants meaningful ownership rather than simply maintaining an established platform. You will lead the development of customer-facing software, work across React, TypeScript, Python, APIs, databases, and data-rich systems, and have the autonomy to shape the technical direction of a growing energy business. They are looking for someone technically strong, but equally importantly, someone with an excellent attitude who is positive, engaging, and excited by the opportunity to build.

Quantexa Data Engineers (Mid-Level through to Lead) 55,000 - 85,000 dependant on experience + bonus + car allowance + benefits Full Time / Permanent Hybrid / London / Birmingham / Manchester / Leeds Background I am looking for Data Engineers at all levels to join a leading consultancy who are investing heavily in their Quantexa practice. These role can be based anywhere in the UK however main Tech hubs are based in London, Birmingham, Manchester and Leeds. You must be willing travel to your local office and to clients as and when required. The successful candidates must either hold or be eligible for SC clearance. The Role As a Data Engineer / Senior Data Engineer, you will lead / contribute towards the technical development of Quantexa based solutions, bringing deep hands-on experience with data ingestion, transformation, and contextual data modelling. The Data Engineers will work closely with Quantexa Architects, Tech Leads, and client stakeholders to deliver high-quality solutions that address complex business challenges. You will play a critical role in designing and implementing robust data pipelines, configuring Quantexa components, and supporting the overall success of client engagements. Key Responsibilities Develop and optimise data ingestion pipelines and transformations within the Quantexa platform using Spark and Scala. Configure and implement Quantexa components such as Entity Resolution, Scoring, and Network Generation to support specific use cases. Collaborate with Tech Leads and Solution Architects to design scalable and performant Quantexa solutions. Translate business and technical requirements into efficient, production-ready data engineering solutions. Support the integration of Quantexa into broader enterprise data architectures, working closely with cloud, security, and DevOps teams. The Person Must have previous experience in similar Data Engineering role with proven hands-on experience of designing and implementing Quantexa solutions for clients. Absolutely must possess Quantexa Technical Certification. Previous experience in leading client data engineering or integration projects is required for more senior engineers. Additional technical experience in Scala, Python and Databricks is also required. Must either hold or be eligible for SC clearance. No sponsorship is available for these roles. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

*SC - Security Cleared* Azure Cloud Infra Engineer 5 Month contract initially + Extensions Based: Max 3 days p/w Onsite in Derby Rate - £400 - £500 (Flexible) p/d via Umbrella We have a great opportunity with a world leading organisation where you will be provided with all of the support and development to succeed. A progressive organisation where you can really make a difference. We have a great opportunity for a number of Azure Cloud Infra Engineer's on a long term program of work. Key Responsibilities: As an Azure Cloud Engineer, you are required to work in complex development and migration of application projects to Azure cloud. You will work with business analysts, application developers, architects and data stakeholders to understand the customer business cases and build Azure environment secured and scalable. Key Accountabilities * Understanding the requirement and bring out highly scalable Azure solution design and delivering End-to-End Implementation working with Azure architects * Building and Implementation of environment setup in Azure cloud for applications, data team and DevOps. * Understanding in the use of dockers, containers, and Kubernetes in development processes. * Good co-ordination with Architects, App Developers, Data Engineers and POTs team for resolving infrastructure related issues. * Implementation of Azure cloud resources with security features enabled. * Ownership of documentation, tracking and prioritizing tasks and highlighting the foreseen blockers upfront * Ensure the Azure cloud environment is implemented using best practices and as per architecture governance & compliance rules Key Skills & Experience: * Ideally 10+ years of total experience with ideally 5+ years in Azure Cloud (IaaS, PaaS, SaaS) in relation to data intensive solutions * Cloud Services Experience o Designing solutions and implementation/migration of data intensive applications to Azure Cloud. o Design, configure and optimize data related service in Azure such as Databricks, Data Factory, Synapse, Data Lake, Database & Batch services. o Ability to design/implement/Troubleshoot end-to-end pipelines in Data platform for related projects. o Configuring App gateway, IaaS, AD, Firewall & Networking in the context of PaaS o Implement SQL & NO SQL solutions in Azure Data platform. o Experience is migrating data from On-prem to Cloud environment. o Exposure to Cybersecurity standards and implementation of cloud and resource controls to meet RR standards * DevOps o Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential. o Expert working on IaC tools such as Terraform, Biceps, ARM, PowerShell to automate deployment with Azure Devops. o Design and implement CI/CD pipelines in Azure Devops using YAML pipelines and scripts with best practice. o Good understanding in Git, Repos, Artifacts, Branching strategy, Conflicts, Policies, Pipelines as applied to data solutions Desirable o Knowledge in Kubernetes, Container technologies are added advantage. This is an excellent opportunity on a great project of work, If you are looking for your next exciting opportunity, apply now for your CV to reach me directly, we will respond as soon as possible. Due to the nature and urgency of this post, candidates holding or who have held high level security clearance in the past are most welcome to apply. Please note successful applicants will be required to be security cleared prior to appointment which can take a minimum 10 weeks. LA International is an award-winning partner of choice for many of the world's most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance. An award-winning organisation, having secured the prestigious Queens Award for Enterprise: International Trade over multiple years. We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience. Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.

Principal Engineer (Payments) Our long-term trusted partner, a leading financial services corporation, is hiring a Principal Engineer who has strong hands on capabilites in Java (17/21) & payment product experience who can contribute to real-time architectural decision making leading vision & strategy across Faster Payments, Real-Time Payments, Card payments, BACS, mobile wallets and APIs. Our client is paying a basic salary up to 110,000 (circa) + 25% bonus + benefits to be based in London, Chatham (Kent) or Wolverhampton onsite 2 days per week. Our client is seeking experienced Principal Engineer with recent retail / digital banking experience who is happy to be hands on (80%) and 20% architectural leadership by leading through example. Your responsibilities will include: Lead the development and implementation of a modern cloud foundation and data platform that is robust, scalable, fully automated, secure, and can support the growth of the business. Build Scalable Architectures: Leverage modern technologies to design and implement scalable, secure, and high-performing cloud-native solutions. API Development and Integration: Design and build secure RESTful and GraphQL APIs, ensuring seamless integration with core banking systems (e.g., Mambu) and external services like Open Banking platforms. Data Engineering and Analytics: Work closely with data teams to define robust data pipelines and scalable cloud-based data platforms using tools like Apache Kafka, Snowflake, or Databricks. Monitoring and Performance Tuning: Implement advanced monitoring and observability solutions using tools like Prometheus, Grafana, or Datadog to proactively identify and resolve performance bottlenecks. Code and System Optimisation: Proactively analyse and optimise existing systems for improved performance, scalability, and maintainability. Core skill set for this position: Strong experience building and scaling banking payment systems including either Faster Payments, Real-Time Payments, Card payments, BACS, mobile wallets and APIs is a must have. Experience leading upon architectural challenges, system scalability, and guidance of engineering teams is a must. A background in Java, C#, Python, or React development with experience providing hands-on technical leadership is a must. Strong background in core banking systems/platforms (Mambu), cloud-native architectures, microservices and DevOps practices Solid understanding of regulatory, risk and compliance requirements (e.g. PSD2, PCI DSS, GDPR) Experience with cloud platforms (AWS, Azure or GCP) and modern data platforms Benefits: 110,000 crica / 25% bonus / 28 days holiday / Holiday Purchase Scheme / Occasional travel / Health Insurance / 13% pension / plus much more. Principal Engineer (Payments)

Location: London (Hybrid - 1-2 days per week onsite) Salary: 90,000 - 100,000 + Excellent Benefits Job Type: Permanent Are you an experienced Data Architect looking to shape the future of enterprise data platforms? We're working with a leading global organisation that is investing heavily in cloud, data and AI transformation. As part of this growth, they're looking for a Senior Data Architect to design and deliver enterprise-scale data platforms that power advanced analytics, machine learning and AI solutions. This is an opportunity to work on large-scale transformation programmes, influencing data strategy and architecture while working with some of the latest cloud technologies. The Role As a Senior Data Architect, you'll be responsible for designing scalable, secure and high-performing data platforms across cloud environments. You'll work closely with technical teams, stakeholders and business leaders to define architecture, establish best practices and deliver modern data solutions. Key Responsibilities Design and architect enterprise-scale cloud data platforms. Define data architecture strategies, standards and governance. Deliver modern data solutions using Databricks , Snowflake , AWS and GCP . Enable advanced analytics, AI and machine learning capabilities. Work closely with engineering, data and business teams to deliver end-to-end solutions. Provide technical leadership throughout the project lifecycle. Ensure solutions are secure, scalable and aligned with business objectives. Skills & Experience We're looking for professionals with experience in: Enterprise Data Architecture. Databricks. Snowflake. AWS and/or GCP. Designing modern cloud data platforms. Data Lakes, Data Warehouses and Lakehouse architectures. Data governance, security and architecture best practices. AI, Machine Learning or Data Science platforms (highly desirable). Banking, Financial Services or other highly regulated industries (preferred).

Location : London Area, UK ( Hybrid - 3 days onsite ) Employment Type : Permanent Salary: Up to £73,000 + Benefits A leading global technology organisation is looking for a Senior Data Scientist - Generative AI to join its growing AI & Data team. Working within a highly collaborative environment, you'll design, build and deploy enterprise-scale Machine Learning and Generative AI solutions, helping shape the organisation's AI strategy while delivering innovative solutions into production. Responsibilities Design and develop Machine Learning and Generative AI solutions. Build Agentic AI and LLM-powered applications. Develop RAG, semantic search and intelligent automation solutions. Build predictive and optimisation models using modern ML techniques. Collaborate with engineering and business teams to deliver scalable AI solutions. Apply MLOps best practices including CI/CD, deployment and monitoring. Mentor junior team members and contribute to technical design decisions. Essential Skills Python & SQL Databricks & Apache Spark Agentic AI/AI Agents Generative AI & LLMs RAG, Embeddings & Vector Search NLP MLflow/MLOps Experience deploying AI solutions into production Nice to Have Microsoft Fabric Azure AI Services Azure Machine Learning LangChain or LangGraph If you are interested, please APPLY .

Lead Technical Architect (SC Cleared) 36-Month Programme | Extension Reviews Every 6 months Hybrid Travel Required Across UK Delivery Locations The Opportunity We are seeking an experienced Lead Technical Architect to take ownership of the technical strategy and architecture for a major national-scale data andanalytics transformation programme. This position represents the highest level of technical authority within the delivery organisation and will be responsible for shaping the long-term architectural direction of a modern cloud-based data platform. The successful candidate will provide strategic leadership across architecture, engineering, infrastructure, platform operations, security, and governance, ensuring all solutions align with enterprise standards and future business objectives. Working closely with senior stakeholders, governance bodies, and technical leadership, you will define architectural principles, guide technical decision-making, oversee assurance activities, and establish the frameworks that will support the platform throughout itslifecycle. This is a long-term programme engagement offering an initial 36-month contract, with programme reviews and extension opportunities conducted on a rolling six-month basis. Key Responsibilities Enterprise Architecture Leadership Define and maintain the overarching technical architecture roadmap for a large-scale cloud-native data platform. Establish architectural standards, patterns, and governance frameworks across engineering, infrastructure, security, platform services, and DevOps capabilities. Ensure alignment between business objectives and technical delivery throughout the programme life cycle. Technical Governance & Assurance Act as the senior technical representative for architecture governance, design review boards, assurance forums, and technical approval processes. Produce, review, and defend architecture submissions, technical designs, and assurance responses. Provide authoritative guidance on architectural decisions, technical risk management, and solution direction. Strategic Platform Design Lead architectural design activities for highly complex and business-critical platform components. Define approaches for enterprise-scale data governance, data sharing, multi-domain collaboration, capacity planning, tenancy architecture, and security controls. Guide the evolution of platform capabilities to support future organisational requirements. Leadership & Mentoring Lead and mentor a team of architects operating across multiple workstreams. Conduct design reviews and ensure architectural consistency across all programme deliverables. Drive quality standards for architecture artefacts including High-Level Designs (HLDs), Low-Level Designs (LLDs), and technical standards documentation. Stakeholder Engagement Build trusted relationships with senior technical leaders, enterprise architects, programme directors, and executive stakeholders. Present architectural recommendations and technical options to both technical and non-technical audiences. Influence long-term technology strategy and future platform investments. Non-Functional Architecture Define and manage non-functional requirements including: Performance Scalability Security Resilience Availability Cost optimisation Disaster Recovery Ensure compliance with agreed standards throughout design, build, testing, and operational readiness phases. Knowledge Transfer & Capability Development Establish architectural documentation standards and reusable design patterns. Support internal teams through coaching, mentoring, and knowledge transfer activities. Ensure architecture decisions and operational guidance are fully documented for long-term sustainability. Essential Experience Applicants must demonstrate extensive experience operating at Lead Architect, Principal Architect, or Enterprise Architect level within large-scale cloud and data transformation programmes.You will possess: Significant experience defining enterprise architecture for cloud-native data platforms. Deep expertise across Microsoft Fabric including: Lakehouse architecture Data Warehousing OneLake Real Time Analytics Fabric Networking Capacity Planning Multi-workspace governance Strong understanding of modern Azure data services, including: Azure Data Factory Azure Data Lake Storage Gen2 Azure Databricks Azure Synapse Analytics Delta Lake Extensive experience implementing enterprise data governance solutions and metadata management frameworks. Strong knowledge of architecture governance, design assurance processes, and enterprise architecture controls. Extensive experience designing secure cloud platforms using: Zero Trust principles Identity and Access Management Network segmentation Private networking strategies Security monitoring and threat protection services Proven experience producing and presenting architecture documentation for senior governance audiences. Strong understanding of Infrastructure-as-Code and modern delivery pipelines using technologies such as Terraform and Bicep. Experience supporting Real Time data processing and event-driven architectures. Desirable Experience The following would be advantageous: Leading migration programmes from Legacy on-premise data environments to cloud-based platforms. Enterprise Architecture frameworks such as TOGAF. Experience working within highly regulated public sector or government environments. Knowledge of UK government security and compliance frameworks. Familiarity with large-scale data management, analytics, and digital transformation initiatives. Experience defining strategic technology roadmaps for multi-year delivery programmes. Required Certifications Essential Microsoft Certified: Azure Solutions Architect Expert (AZ-305) Desirable Microsoft Certified: Azure Data Engineer Associate (DP-203) Microsoft Fabric Analytics Engineer Associate (DP-600) TOGAF Practitioner or Certified Microsoft Certified: Cybersecurity Architect Expert (SC-100) Equivalent experience may be considered where appropriate. Clearance Requirement Active Security Check (SC) Clearance is mandatory. Candidates must hold live SC clearance at the point of application and be eligible to maintain clearance throughout the duration of the engagement.

Data Engineer / Permanent / London Hybrid - 3 days onsite / up to 45,000 This is a fantastic opportunity to join a leading global organisation with a strong international presence, dedicated to delivering customer-centric services while investing in innovation, technology, and growth. The role offers the chance to further develop your skills and gain professional certifications, working alongside experienced professionals in a collaborative and supportive environment designed to support your progression. What you'll do: Build and optimise Azure data pipelines (ADF, Databricks) Support migration into Azure Data Lake Drive data quality, governance, and performance Collaborate with global teams in an agile environment What you'll bring: Strong SQL + ETL/ELT experience Knowledge of Python / T-SQL Exposure to DBT Exposure to cloud platforms (Azure preferred) Nice to have: Databricks, Spark, CI/CD, big data This is a great opportunity to join a high-impact data team in a global organisation and shape how data is used across the business. If this sounds like a good fit then please apply today! Please note that unfortunately the client cannot offer sponsorship for this position.

The Head of Data will be accountable for leading our Data Department, including Data Engineering and Analytics, and for delivering the data strategy, architecture, governance, reporting and modernisation agenda. This is a senior leadership role requiring a balance of strategic direction, technical credibility, delivery oversight and strong stakeholder influence across the business Client Details We are the UK's Cash Access and ATM Network that connects virtually all the UK's ATMs and provides communities with access to cash through services such as cashback at retailers' tills, enhanced Post Offices and Banking Hubs. Our network of around 45,000 ATMs connects the country's payment infrastructure and enables the public to access their money easily, conveniently and safely. Description The successful Head of Data will be involved with but not limited to: Refine and implementing our existing Data Strategy. Have a deep understanding of our current technologies, including existing SQL Server environments, and incorporate this knowledge to drive the decommissioning and migration strategy as part of the Database Optimisation programme, including the transition to modern data platforms such as Databricks or Microsoft Fabric and the adoption of modern data engineering practices. Select and lead on the delivery of techniques and technologies to deliver resilient, scalable and future proofed analytics solutions Lead the development and oversee data quality standards, assurance frameworks and compliance practices. Ensuring the adoption of data governance and ownership through a team of data owners and data stewards Ensure robust governance of data models and data cataloguing for internal and external requirements Ensure secure, efficient and scalable data pipelines and integrations between systems using modern best practice. Lead, manage and develop an expanding team of circa 10 data specialists, including Data Engineers and Analysts, through regular coaching and mentoring, driving technical excellence by supporting the team in their respective roles to further develop their skills, technical and industry knowledge Profile The Successful Head of Data candidate will be able to demonstrate: Strategic data leadership, including the ability to define, refine and deliver an enterprise data strategy aligned to organisational objectives. Proven experience leading data engineering and analytics teams, including coaching, mentoring, capability building and performance management. Strong knowledge of data architecture, data platforms, data modelling, data warehousing, integration patterns and scalable analytics solutions. Hands-on credibility with SQL Server environments and experience supporting migration to modern platforms such as Databricks, Microsoft Fabric or comparable technologies. Strong understanding of data governance, data ownership, data stewardship, metadata management, data quality standards and assurance frameworks. Job Offer We are a not for profit and operate in the public interest. We are based in Harrogate and have a remote working policy ( circa 1 day in the office). Our offices are easy to get to by either public transport or car. In addition to some excellent benefits which can be discussed you can also expect Salary circa 75,000 - 90,000 Bonus Scheme Car allowance 1 Day a week in the office 35 hour week For more information on the exciting opportunity and to answer any further questions, apply today.

Senior Full Stack Engineer £85,000 to £105,000 Permanent Remote, with occasional London office visits The opportunity Our client is hiring a Senior Full Stack Engineer to take ownership of building the next generation of customer-facing software in the energy market. The business operates in a complex, high-value sector and is using technology, data, and strong product thinking to modernise an industry that has historically been underserved by great software. We have already recruited 4 people into the business, and all 4 are still there. We know the company and team well and are pleased to be supporting them again on this important hire. This is a genuinely high-impact opportunity for an experienced engineer who is equally comfortable across frontend and backend development. You will take the lead on building new products and developing the codebase, with significant autonomy over technical decisions, architecture, and delivery. The position can be fully remote, although the business would welcome occasional visits to its Mayfair office for collaboration and team time. The role This is a true full stack position. They need someone strong in React and TypeScript who can build polished, reliable customer-facing software, but who is equally capable of contributing across backend services, APIs, application logic, databases, and data-rich workflows. The platform supports complex energy processes across areas such as billing, metering, consumption, reporting, and asset performance. You will be responsible for taking those workflows and turning them into clear, scalable products that customers genuinely value. Initially, you will lead much of the engineering work independently. You will not, however, be expected to operate without support. The business can provide access to external engineering expertise and additional coding support where needed as the platform and codebase develop. This role offers genuine autonomy. You will have the freedom to make sensible technical decisions, shape engineering standards, and influence how the product evolves as the company grows. What you will be doing Leading the development of customer-facing products from initial concept through to production Building modern frontend applications using React and TypeScript Designing and developing backend services, APIs, integrations, and application logic Working with Python, SQL, databases, and data platforms Taking ownership of architecture, technical decisions, and engineering standards Turning complex energy and operational data into clear, intuitive product experiences Working closely with product, data, leadership, and external engineering partners Building a scalable and maintainable codebase from the ground up Helping define the future engineering team and technical direction as the business expands What they are looking for Strong commercial experience across both frontend and backend engineering Excellent React and TypeScript capability Strong backend development experience, ideally including Python Good experience with APIs, databases, SQL, and system integrations A track record of leading projects or taking ownership of major technical workstreams Experience building customer-facing software from scratch Strong product instincts and the ability to think beyond individual tickets Confidence making technical decisions and working with a high level of autonomy Excellent communication skills and the ability to work closely with technical and non-technical stakeholders Personality and attitude are particularly important. They want someone positive, proactive, collaborative, and genuinely enthusiastic about building great software. The right person will bring energy to the team, take responsibility, and approach challenges with a practical and constructive mindset. Nice to have Startup or scale-up experience Energy, utilities, trading, sustainability, or fintech experience Data visualisation experience Experience working with Databricks or similar data platforms Experience using AI-assisted development tools Previous involvement in shaping engineering teams, standards, or architecture Why join A salary of £85,000 to £105,000 + Bonus The flexibility to work remotely Occasional collaboration from the Mayfair office Real autonomy over what gets built and how it is delivered The opportunity to lead a major product and codebase from an early stage Direct influence over product and technical direction Support from external engineering resources when required Broad exposure across frontend, backend, data, architecture, and product Long-term scope to help build and shape the engineering function A growing business operating in a complex and important energy market Summary This is an excellent opportunity for a Senior Full Stack Engineer who wants meaningful ownership rather than simply maintaining an established platform. You will lead the development of customer-facing software, work across React, TypeScript, Python, APIs, databases, and data-rich systems, and have the autonomy to shape the technical direction of a growing energy business. They are looking for someone technically strong, but equally importantly, someone with an excellent attitude who is positive, engaging, and excited by the opportunity to build.

Role: Senior Data Engineer Location: South Wales Salary: £63,500 The Opportunity We are seeking an experienced Senior Data Engineer to lead the development of a modern, secure, cloud-based data platform. This role will be instrumental in shaping the organisation's data capabilities, delivering trusted analytics and reporting solutions, and establishing the foundations for future AI and advanced data initiatives. This is a hands-on position requiring a blend of architecture, engineering expertise, governance, and stakeholder engagement. Key Responsibilities Design, build, and evolve a scalable cloud data platform and supporting architecture. Develop and maintain robust ELT/ETL pipelines, ensuring high standards of reliability, performance, and security. Establish and embed DataOps and DataSecOps practices, including CI/CD, testing, version control, and automated quality controls. Deliver governed data models and reporting structures that enable trusted, self-service analytics. Implement data governance, security, privacy, and access control frameworks. Monitor and improve data quality, integrity, and consistency across multiple systems. Provide technical leadership, mentoring, and best-practice guidance to colleagues. Partner with business stakeholders to understand requirements and deliver practical, value-driven data solutions. Drive continuous improvement across data engineering, reporting, and analytics capabilities. Essential Requirements Strong expertise in SQL and Python (PySpark desirable). Proven experience designing and building cloud-based data platforms from inception. Hands-on experience with Databricks, Spark, modern data lake/lakehouse architectures, and data integration pipelines. Strong understanding of data security, governance, access controls, and handling sensitive data. Experience implementing CI/CD, Git-based workflows, automated testing, and deployment practices. Solid data modelling experience for analytics and business intelligence. Track record of delivering scalable reporting and self-service analytics environments. Experience mentoring team members and promoting engineering best practices. Excellent problem-solving, communication, and stakeholder management skills. Think this one's for you If you think this Senior Data Engineer opportunity is for you then please apply online. Yolk Public Sector & Not-for-Profit team works with organisations across the UK to fulfil their recruitment needs and to achieve their D&I objectives. We recruit temporary, contract and permanent hires for 1 off specialist needs or for volume campaigns. We support our applicants to navigate the public sector recruitment processes and secure their dream jobs. Yolk Recruitment is an equal opportunities employer and embraces diversity in our workforce. We employ the best people for the job at hand and actively encourage applications from all qualified candidates, regardless of gender, age, race, religion, sexual orientation, disability, educational background, parental status, gender identity or any other protected characteristic. We champion and celebrate diversity at Yolk allowing our team to bring their whole selves to work.

The Head of Data will be accountable for leading our Data Department, including Data Engineering and Analytics, and for delivering the data strategy, architecture, governance, reporting and modernisation agenda. This is a senior leadership role requiring a balance of strategic direction, technical credibility, delivery oversight and strong stakeholder influence across the business Client Details We are the UK's Cash Access and ATM Network that connects virtually all the UK's ATMs and provides communities with access to cash through services such as cashback at retailers' tills, enhanced Post Offices and Banking Hubs. Our network of around 45,000 ATMs connects the country's payment infrastructure and enables the public to access their money easily, conveniently and safely. Description The successful Head of Data will be involved with but not limited to: Refine and implementing our existing Data Strategy. Have a deep understanding of our current technologies, including existing SQL Server environments, and incorporate this knowledge to drive the decommissioning and migration strategy as part of the Database Optimisation programme, including the transition to modern data platforms such as Databricks or Microsoft Fabric and the adoption of modern data engineering practices. Select and lead on the delivery of techniques and technologies to deliver resilient, scalable and future proofed analytics solutions Lead the development and oversee data quality standards, assurance frameworks and compliance practices. Ensuring the adoption of data governance and ownership through a team of data owners and data stewards Ensure robust governance of data models and data cataloguing for internal and external requirements Ensure secure, efficient and scalable data pipelines and integrations between systems using modern best practice. Lead, manage and develop an expanding team of circa 10 data specialists, including Data Engineers and Analysts, through regular coaching and mentoring, driving technical excellence by supporting the team in their respective roles to further develop their skills, technical and industry knowledge Profile The Successful Head of Data candidate will be able to demonstrate: Strategic data leadership, including the ability to define, refine and deliver an enterprise data strategy aligned to organisational objectives. Proven experience leading data engineering and analytics teams, including coaching, mentoring, capability building and performance management. Strong knowledge of data architecture, data platforms, data modelling, data warehousing, integration patterns and scalable analytics solutions. Hands-on credibility with SQL Server environments and experience supporting migration to modern platforms such as Databricks, Microsoft Fabric or comparable technologies. Strong understanding of data governance, data ownership, data stewardship, metadata management, data quality standards and assurance frameworks. Job Offer We are a not for profit and operate in the public interest. We are based in Harrogate and have a remote working policy ( circa 1 day in the office). Our offices are easy to get to by either public transport or car. In addition to some excellent benefits which can be discussed you can also expect Salary circa £75,000 - £90,000 Bonus Scheme Car allowance 1 Day a week in the office 35 hour week For more information on the exciting opportunity and to answer any further questions, apply today.

Senior Geospatial Engineer 6-month contract Remote Working Outside IR35 Market Rates (c£500 per day) The Opportunity: Our client is supporting a major UK Government Agency on the delivery of a strategic geospatial data platform and is seeking an experienced Senior Geospatial Engineer to join a multidisciplinary Agile team for an initial 6-month temporary contract This is an exciting opportunity to help design, build and support modern cloud-native geospatial data services that underpin critical national decision-making. You'll play a key role in developing scalable geospatial processing pipelines, integrating spatial datasets from multiple sources and delivering high-quality services for analytics, reporting and operational applications. Working alongside Data Engineers, Architects, GIS specialists and Product teams, you'll contribute to the development of robust geospatial engineering capabilities using modern cloud technologies, open-source GIS tooling and industry-standard spatial APIs. Skills and Experience: Essential Strong commercial experience as a Geospatial Engineer, GIS Engineer, Spatial Data Engineer or similar Excellent understanding of modern geospatial data engineering principles Experience designing and supporting scalable cloud-based geospatial platforms Strong knowledge of geospatial formats including: GeoPackage/GeoTIFF/Cloud Optimised GeoTIFF (COG)/FlatGeobuf/PMTiles Experience developing geospatial processing workflows Strong SQL and programming skills Hands-on experience with open-source geospatial technologies including: GDAL/QGIS/OpenLayers Experience consuming and publishing REST and OGC-compliant spatial APIs Experience optimising spatial datasets for large-scale production environments Understanding of software engineering best practice including testing, version control and CI/CD Strong communication and stakeholder engagement skills Desirable Experience with one or more of the following would be advantageous: Cloud-native data platforms (Azure or AWS) Databricks Python PostGIS/GeoServer Docker Kubernetes Infrastructure as Code (IaC) Data Engineering Lakehouse Architecture Agile software delivery UK Government or highly regulated environments Role and Responsibilities: Design, build and support scalable geospatial data pipelines and services. Develop solutions for ingesting, transforming, validating, storing and publishing spatial datasets. Work with a wide variety of geospatial formats, ensuring data quality, performance and interoperability. Develop and optimise cloud-native geospatial workflows for large-scale datasets. Consume and publish spatial services using REST and OGC standards. Contribute to technical architecture, engineering standards and best practice. Optimise geospatial datasets and APIs for performance, scalability and resilience. Collaborate with Data Engineers, GIS specialists, Architects and Product teams within an Agile delivery environment. Support automated testing, CI/CD pipelines and engineering quality practices. Contribute to technical documentation, peer reviews and continuous improvement initiatives. NB: The successful candidate will be required to undergo a basic level of security clearance before undertaking the assignment (one to two weeks' lead-time). Applications: If you're an experienced Geospatial Engineer with a passion for cloud-native GIS technologies, spatial data engineering and modern geospatial platforms; please contact Edward here at ISR to learn more about our client and how they are leading the way in developing the next generation of technical solutions through innovation and transformational technology?