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Senior Data Analytics Engineer - London |. Significant impact on business strategy through data-driven insights. Transform data into strategic advantage at one of the world's leading Investment firms.

As part of a major transformation, theyre building a modern, business-driven data platform from the ground up and theyre looking for a Senior Data Engineer to help shape it. Optimise metadata, catalogue, lineage, and data quality processes. You'll play a key role in delivering a robust, scalable da

As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the worlds investible assets. Senior Data Engineer, Vice President.

Job Title: Senior Analytics Engineer. With strong commercial backing and ambitious growth plans, this is a prime opportunity for an experienced Analytics Engineer to take ownership of scalable data models that power high impact decision making across the business.

Senior Data Engineer (Python/AWS).

Senior Data Engineer – SC Cleared.

Were looking for a Senior Security Engineer for our growing, prestigious client in the data sector, based in London, on a permanent basis paying up to £70,000 plus great benefits.This role offers hybrid working with an expectation to be in the office 23 days per week.Youll be joining a technical te

OB have partnered with a UK FinTech Unicorn, who's Data function is undergoing rapid growth, and in-turn are looking to grow their Data team, with 2 highly skilled Data Engineers. Senior Data Engineer - FinTech Unicorn - Python, SQL, DBT, Airflow, AWS/GCP. You'll be working on shaping the companies

To accelerate this capability, we're hiring a Senior Generative AI Engineer to design, build, and deploy next-generation AI ecosystems for global enterprises. Collaborate with product, engineering, and data teams to translate business needs into working AI solutions. Establish standards for prompt e

Keyword:Azure,SQLDatabase,Snowflake,dataModelling. ExperiencewithDataWarehouseconcepts.

Senior Data Engineer - (AI/ML Deployment Experience Required) Location: London (Hybrid: Monday-Wednesday in office) Salary: £65,000-£75,000 DoE Job Ref: J13026 An AI-first SaaS company on a mission to help organisations unlock the full potential of their first-party data is seeking a fo

As the Senior/Lead Tech Engineer/Manager (Data/ML) you will be part of build a small team and mentor during the build phase along with the Engineering Manager. Our client at very well known Retail Giant is currently looking to hire a Senior/Lead Technical Engineer (Data/ML) based from their offices

We're looking for a Senior Data Engineer with hands-on GenAI experience to join a forward-thinking technology business that's building data-driven solutions with real-world impact. Senior Data Engineer (GenAI) - Leading Tech Company | London (Hybrid). This is a highly visible, senior-level role wher

Senior Data Engineer - FinTech Unicorn - Python, SQL, DBT, Airflow, AWS/GCP \n OB have partnered with a UK FinTech Unicorn, who's Data function is undergoing rapid growth, and in-turn are looking to grow their Data team, with 2 highly skilled Data Engineers. \n\n You'll be working on shaping the companies Data function, driving Data best practices, and collaborate with a variety of stakeholders to ensure the company are making Data driven decisions. \n\n Senior Data Engineer - FinTech Unicorn - Python, SQL, DBT, Airflow, AWS/GCP \n\n Tech Stack: \n\n Python & SQL \n AWS/GCP \n Base salary of £90k-£115k depending on skills and experience \n Excellent overall package including a sizeable bonus and stock options \n\n Hybrid working in Central London with 1-2 days a week required \n\n Senior Data Engineer - FinTech Unicorn - Python, SQL, DBT, Airflow, AWS/GCP

Senior Machine Learning Engineer - Computer Vision \n Paying up to £110k + 7.5% bonus + $10,000 in share (yearly)\n London - 1 day a week \n I am currently working with a global leader within SportsTech, who are currently expanding their AI offerings and are looking to hire Senior MLOps Engineers. \n\n Their platform captures, analyses, and delivers insights from live video to transform how sports teams perform at every level, with a strong emphasis in professional sport. You'll work on projects that scale across thousands of live events globally, developing new experiences and insights that power the future of sports. The team are all using Computer Vision so an understanding of how this works is beneficial but not essential. \n\n Deliver at scale: deploy ML models across cloud and edge platforms, scaling to thousands of simultaneous matches. \n Lead impactful projects: Deep experience with Python and/or C++, plus proficiency with Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, and AWS. \n Demonstrated success delivering AI/ML products in collaboration with cross-functional product teams. \n Solid track record building and managing AI/ML systems in production environments at scale. \n\n Background applying AI/ML in the sports domain for data generation or insights. \n Senior Machine Learning Engineer - Computer Vision

Senior Python Engineer | London \n We’re partnering with a high-growth AI startup that’s building intelligent automation systems designed to simplify complex, real-world operations. Their platform is already redefining how data, workflow, and human decision-making come together — and they’re scaling fast. \n\n If you’re excited by the idea of joining an elite engineering team tackling deep technical problems in AI, automation, and scalable software systems, this could be the role for you. \n\n As a Senior Python Engineer , you’ll take ownership of backend design and development, helping to shape the architecture behind cutting-edge AI-driven platforms. You’ll work closely with AI and product teams to bring intelligent features into production — solving high-impact problems with clean, scalable code. \n\n Architect, design, and build robust backend systems and APIs using Python. \n Collaborate with AI and data teams to integrate models into production environments. \n Optimise and scale distributed systems and data pipelines for performance and reliability. \n Maintain best practices for testing, CI/CD, and documentation. \n\n Strong academic foundation in Computer Science, Engineering, or related discipline. \n Deep expertise in Python and frameworks such as FastAPI, Flask, or Django. \n~ Proven experience building and scaling APIs in cloud environments (GCP, AWS, or Azure). \n~ Bonus Points For: \n Experience in AI-driven or automation-heavy environments. \n Exposure to PropTech, data-heavy SaaS platforms, or real-world workflow automation. \n Competitive salary + equity options. \n The opportunity to help shape the foundation of a next-generation AI company.

Senior Machine Learning Engineer - Computer Vision \n Paying up to £110k + 7.5% bonus + $10,000 in share (yearly)\n London - 1 day a week \n I am currently working with a global leader within SportsTech, who are currently expanding their AI offerings and are looking to hire Senior MLOps Engineers. \n\n Their platform captures, analyses, and delivers insights from live video to transform how sports teams perform at every level, with a strong emphasis in professional sport. You'll work on projects that scale across thousands of live events globally, developing new experiences and insights that power the future of sports. The team are all using Computer Vision so an understanding of how this works is beneficial but not essential. \n\n Deliver at scale: deploy ML models across cloud and edge platforms, scaling to thousands of simultaneous matches. \n Lead impactful projects: Deep experience with Python and/or C++, plus proficiency with Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, and AWS. \n Demonstrated success delivering AI/ML products in collaboration with cross-functional product teams. \n Solid track record building and managing AI/ML systems in production environments at scale. \n\n Background applying AI/ML in the sports domain for data generation or insights. \n Senior Machine Learning Engineer - Computer Vision

Senior Python Engineer | London \n We’re partnering with a high-growth AI startup that’s building intelligent automation systems designed to simplify complex, real-world operations. Their platform is already redefining how data, workflow, and human decision-making come together — and they’re scaling fast. \n\n If you’re excited by the idea of joining an elite engineering team tackling deep technical problems in AI, automation, and scalable software systems, this could be the role for you. \n\n As a Senior Python Engineer , you’ll take ownership of backend design and development, helping to shape the architecture behind cutting-edge AI-driven platforms. You’ll work closely with AI and product teams to bring intelligent features into production — solving high-impact problems with clean, scalable code. \n\n Architect, design, and build robust backend systems and APIs using Python. \n Collaborate with AI and data teams to integrate models into production environments. \n Optimise and scale distributed systems and data pipelines for performance and reliability. \n Maintain best practices for testing, CI/CD, and documentation. \n\n Strong academic foundation in Computer Science, Engineering, or related discipline. \n Deep expertise in Python and frameworks such as FastAPI, Flask, or Django. \n~ Proven experience building and scaling APIs in cloud environments (GCP, AWS, or Azure). \n~ Bonus Points For: \n Experience in AI-driven or automation-heavy environments. \n Exposure to PropTech, data-heavy SaaS platforms, or real-world workflow automation. \n Competitive salary + equity options. \n The opportunity to help shape the foundation of a next-generation AI company.

Data Engineer Location: Job Type: Full Time \n\n We’re partnered with a well-funded early-stage tech company that’s using data and AI to bring greater financial intelligence to complex, data-heavy industries. They’re looking for a Data Engineer to help design and scale the core systems that power their platform - turning fragmented data into meaningful insights. You’ll work closely with technical leadership to build robust, modern data pipelines and play a key role in shaping how the product evolves from the inside out. \n\n Build and scale data pipelines across multiple systems and data types. \n Design and optimise data workflows for high performance and reliability. \n Collaborate closely with product and commercial teams to deliver data-driven features. \n Take ownership of end-to-end projects — from concept through to deployment. \n 2–3+ years’ experience as a Data Engineer or similar. \n~ Strong background with the modern data stack (e.g. Skilled in SQL, data modelling, and pipeline orchestration. \n~ A genuine interest in building technology that makes real-world systems smarter and more efficient. \n\n Shape key data infrastructure powering intelligent decision-making. \n Salary up to £100,000, depending on experience and impact. \n\n At Stockford Recruitment, we help startups and SMEs grow by connecting them with exceptional tech talent.

Senior AI Engineer – Startup (AI Consultancy) - London (Hybrid) Upto £130k +shares \n We’re working with a fast growth AI Consultancy with offices in London, Manchester and Edinburgh. The business is under a year old and currently sitting at 50 people, generating revenue with a range of AI projects including fact extraction, conversational AI, Co-pilots, knowledge graphs, spanning across a variety of clients such as Investments, Insurance, F&B and CPG. \n\n The founders have proven experience in building a consultancy from scratch and exiting, having previously built a Data Science consultancy and successfully sold to a ‘big 4’ , they are on course to replicate their success here. \n\n This has fuelled rapid growth in the team and we are looking for Senior AI Engineers of different experience levels to join us in building the business by developing end2end LLM products for our clients. \n\n We’re looking for people that have experience building production ready AI solutions, to design, build and deploy AI solutions in collaboration with our clients. You’ll be applying some of the SOTA research in AI to develop applications. Background in foundational Computer Vision/NLP \n Strong Software Engineering skills (3 years+)\n Uptodate with current trends in AI \n Some experience with applying latest techniques like RAG architecture, GenAI, Parallel training etc \n\n The role is hybrid, with adhoc requirements to be on client premises (London) this could be between 1-3 days a week, so we would need someone that is flexible. \n This is a fantastic opportunity to work on a broad range of problems, applying SOTA AI solutions, in a high growth business, set for success and you will be rewarded with: \n\n~ Meaningful EMI shares (our proven history speaks for itself)\n Statutory pension contribution \n~ Private medical

Senior Analytics Engineer (DBT) | Permanent | London (1 day a week on-site) #128640; Their AI-enabled platform supports over 1,000+ brands worldwide, streamlining business processes like never seen before. Data/Analytics is the backbone: from APIs and pipelines to governance and observability, their data platform directly powers customer-facing products and AI-driven insights. \n\n Greenfield impact – Inherit a live but early function, define best practice across modeling, testing, observability, and governance. \n✨ Founding seat – hired as the first Senior AE in a newly created Data Engineering function; real ownership, design authority, and a fast path to Lead (if you desire!)\n✨ Direct product impact – Your models and marts power decisions and features that 1,000+ brands rely on every day. \n✨ AI at the core – enable experimentation and intelligent decisions with high-quality datasets \n✨ $Own the analytics platform end-to-end: set the roadmap for models, metrics and data contracts; Ship with reliability : stand up observability (tests, freshness, lineage, cost), enforce SLAs, and keep pipelines fast and resilient.. \n Be the multiplier : mentor analysts/engineers as the team grows, partner with Product/DS/Eng, and turn business questions into data products that move the needle. \n\n Python \n London (1 day a week onsite)

Senior Software Engineer / Developer (Python FastAPI Data) London to £90k \n Are you a data centric Software Engineer with strong Python and SQL skills? \n You could be progressing your career in a senior, hands-on role at a fast growing, global Insurance Underwriting technology provider that focusses on developing a complex SaaS calculation platform for rapidly growing Cybersecurity insurance markets. \n As a Senior Software Engineer you will design and develop data centric backend services for the core platform with a focus on Python coding and building FastAPIs within an Azure environment with Databricks. You'll participate in the design and implementation of advanced mechanisms for data ingestion, transformation, mass parallel orchestration of network IO and will model data for a variety of purposes. \n Location / WFH: \n There's a hybrid work from home model with three days a week in the high spec London, City office with rooftop bar. \n You have strong Python backend software engineering skills \n You have experience of building FastAPIs \n You have a good knowledge of public cloud services, they're using Azure but experience with AWS or GCP is fine \n You have experience of working with data at scale \n You have strong SQL skills (PostgreSQL, SQL Server and ideally Databricks, or happy to learn it)\n You have a thorough knowledge of Computer Science fundamentals including Data Structures, Design Patterns, OOP \n As a Senior Software Engineer you will receive a competitive package: \n \n~ Salary to £90k + bonus \n Private Medical Insurance (including dental and optical cashback)\n~ Life Insurance, Income Protection \n~ Pension \n~ Subsidised gym membership \n~ Season ticket loan \n~ Employee Assistance Programme \n~ Impactful role with great career progression \n\n Apply now to find out more about this Senior Software Engineer / Developer (Python FastAPI Data) opportunity. \n At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

About the Company EC Markets is building a state-of-the-art in-house data centre to power our trading, operational, and marketing intelligence. About the Role We are seeking a Senior Data Engineer to lead the technical build-out of this initiative — from designing ETL pipelines to creating a secure, scalable data warehouse that underpins business-critical reporting and analytics. This is a high-impact role at the intersection of technology and financial insight, ideal for a senior professional with deep data engineering capabilities and proven experience supporting financial or trading-driven organisations, willing to grow into a Head of Data. Responsibilities • Design, develop, and deploy a robust data infrastructure leveraging cloud-based services (AWS)., • Build and maintain ETL pipelines feeding data from multiple internal systems (trading, CRM, RUM, finance) into a central Data Lakehouse., • Implement best practices for data ingestion, validation, transformation, and storage using modern cloud tools (e.g., Databricks, S3 Data Lakes, Spark, Redshift, AWS Glue)., • Working closely with data analysts to enable operational/regulatory reporting and data insights/visualisation. Data Governance & Quality • Define and enforce data standards, quality assurance processes, and documentation across systems., • Ensure system scalability, performance, and data privacy/security align with compliance and business requirements. Cross-Functional Collaboration • Partner closely with trading, finance, marketing, and management teams to map data requirements and deliver analytics-ready structures., • Translate business objectives into technical roadmaps and actionable engineering tasks., • Lead the technical implementation while coordinating with external vendors or internal IT teams as needed. Key Objectives for the first six months • Define the core data architecture and choice of toolset., • Define data models., • Establish a secure and automated data development cycle., • Build foundational ETL pipelines. Project Ownership • Drive the full lifecycle of the data centre project, establishing foundations for downstream reporting and BI functions., • Support future integration of a dedicated Data & Reporting Analyst role, planned for the following year., • Own data privacy and security aspects from a technology standpoint. Qualifications • Degree in Computer Science, Data Engineering, or a related quantitative field., • 5–8 years of experience in data engineering or infrastructure development., • Experience in the financial services or fintech sector is highly desirable. Required Skills • Hands-on experience designing and implementing ETL pipelines and data lake/warehouses in cloud environments., • Advanced knowledge of AWS or Azure data services (Databricks, Glue, Redshift, S3 Data Lakes, Spark, or equivalent)., • Strong programming and data manipulation skills (Python, SQL)., • Solid background in financial reporting, trading data, or analytics within financial markets., • Proven ability to manage complex, end-to-end data projects and collaborate cross-functionally across business units., • Strong communication skills with the ability to bridge technical execution and business strategy. Preferred Skills • Experience in the financial services or fintech sector is highly desirable.

Senior Machine Learning Engineer - Computer Vision \n Paying up to £110k + 7.5% bonus + $10,000 in share (yearly)\n London - 1 day a week \n I am currently working with a global leader within SportsTech, who are currently expanding their AI offerings and are looking to hire Senior MLOps Engineers. \n\n Their platform captures, analyses, and delivers insights from live video to transform how sports teams perform at every level, with a strong emphasis in professional sport. You'll work on projects that scale across thousands of live events globally, developing new experiences and insights that power the future of sports. The team are all using Computer Vision so an understanding of how this works is beneficial but not essential. \n\n Deliver at scale: deploy ML models across cloud and edge platforms, scaling to thousands of simultaneous matches. \n Lead impactful projects: Deep experience with Python and/or C++, plus proficiency with Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, and AWS. \n Demonstrated success delivering AI/ML products in collaboration with cross-functional product teams. \n Solid track record building and managing AI/ML systems in production environments at scale. \n\n Background applying AI/ML in the sports domain for data generation or insights. \n Senior Machine Learning Engineer - Computer Vision

Senior Flutter Engineer (Contract)#128176; Location: Remote first with occasional visits to central London office (no more than 1 or 2 times per month for workshops)\n\n We are working with a Series A startup that recently secured a £20m round. They are looking for 2 x exceptional Flutter Engineers to join a high-impact, greenfield project. This is an opportunity to build an enterprise-grade, cross-platform application from the ground up — with a strong emphasis on security, performance, and reliability . \n\n#Architect and implement high-quality, modular Flutter components for a real-time coordination platform. \n Drive best practices in testing, CI/CD, and automated release processes. \n Collaborate with backend engineers to integrate secure APIs and encrypted data flows. \n Contribute to defining a scalable, test-driven frontend architecture used across multiple device types. \n\n#4+ years of professional Flutter experience (7+ in mobile engineering overall). \n~ Strong grasp of application security , cryptography, and secure data handling. \n~ Deep knowledge of Flutter testing frameworks , CI/CD, and modern state management (e.g. Excellent communication and collaboration skills in remote/distributed teams. \n\n\n#Bonus Points \n Familiarity with Flutter FFI or writing SDKs/libraries. \n\n This is a contract for engineers who thrive on solving hard problems — where security, design excellence, and real-world impact all meet. \n\n#At Pixelated People, we don’t just do inclusion and diversity.

React Native Developer - London - Hybrid Working - £90,000-£100,000 p/a - React Native, TypeScript, Some knowledge of Objective-C/Swift/Java/Kotlin \n Christopher Ali are recruiting on behalf of a prestigious data company who are on the lookout for a Senior React Native Developer to join their team. \n\n The role will require 1 day per week working on-site in London. \n\n Proven experience (apps in the app store) building beautiful React Native applications. \n Proven experience working from professional designs (Figma, etc) & building out custom components. \n A deep understanding & appreciation of UX. The company have got an ambitious roadmap that includes effectively a multi-stage full rebuild of the react native app to shed technical debt and allow them to greatly improve functionality for users. You’ll be working with stakeholders, designers & backend developers to plan & be part of delivering multi-discipline projects. \n As the sole react native engineer you’ll have full responsibility of the codebase, so they'll want you to be comfortable with architectural decisions & managing your own time. You’ll have the freedom to decide the strategy for approaching these decisions & creating an app that is maintainable in the long term. \n UI goes from ideation within the tech team, to wireframes you’ll have a part in building, to a designer who will produce designs in Figma. It’ll be your responsibility to implement true to design and work with the designer to fine-tune interactions, animations and other moments of delight for our users. \n You’ll be expected to regularly liaise with the other engineers in the business of different disciplines to help decide the best approach to multi-discipline technical projects.

Infrastructure Engineer – Azure / Microsoft / Security \n £65,000 + Bonus + Benefits \n Hybrid – South West London (3 days onsite) \n Quant Capital are partnering with a fast-growing FinTech scale-up hiring an Infrastructure Engineer to own their core platform across cloud, networking and security. This role suits someone who understands high availability, engineers with discipline, and cares about building secure, reliable systems at scale. \n You’ll design, operate and improve hybrid Microsoft/Azure infrastructure while acting as a senior escalation point for the business. \n Engineer, maintain and evolve hybrid Microsoft infrastructure \n Deliver uptime-focused projects across networking, cloud and security \n Improve performance across identity, access and connectivity \n 5+ years in infrastructure engineering or systems engineering \n~ Strong Microsoft environment expertise: \n~ Windows Server, AD/Entra ID, Group Policy, O365, Intune \n~ Solid networking foundations: \n~ Azure engineering background: \n~ Governance, networking, identity and security configuration \n~ Exposure to data centre deployments

Senior C# Engineer | Renewable Energy Trading | £600-700 OUTside IR35 | 6 Months rolling | Hybrid (London) A Senior C# Engineer is required for a Renewable Energy Trading company that’s leading the charge in sustainable energy production, optimisation, and trading technology. With the UK committing over £24Bn to Renewable Energy , this is an opportunity to play a key part in the sector driving the UK’s energy transition. Our client is a fast-growing disruptor in the Energy Trading market, building cutting-edge trading systems that enable the efficient trading of renewable assets and power. As traditional fossil fuels are phased out, this company is pushing the boundaries of technology to accelerate the shift to clean energy. 💰 £600–700 per day | OUTside IR35 📑 6-month rolling contract 📍 Hybrid – 2-3 days per week, London ⚡ Senior C# Engineer - Energy Trading experience required As a Senior C# Engineer , you’ll be working on the design and build of real-time trading and analytics platforms , leveraging microservices architecture and Azure cloud technologies to deliver highly scalable, performant, and resilient systems. You’ll collaborate closely with traders, data engineers, and DevOps specialists to deliver event-driven solutions that power trading decisions and optimise market operations. Experience required: • Strong commercial experience with C# and .NET Core, • Proven experience building microservices-based architectures, • Strong knowledge of Azure Cloud Services (Functions, Service Bus, Event Hub, Kubernetes, etc.), • Experience with event-driven / message-based systems (Kafka, RabbitMQ, or Service Bus), • Energy or Commodity Trading domain experience (essential), • Exposure to low-latency systems or real-time data processing is highly desirable If you’re interested in hearing more about this Senior C# Engineer contract, please apply with your latest CV or send it directly to .

Infrastructure Engineer – Azure / Microsoft / Security \n £65,000 + Bonus + Benefits \n Hybrid – South West London (3 days onsite) \n Quant Capital are partnering with a fast-growing FinTech scale-up hiring an Infrastructure Engineer to own their core platform across cloud, networking and security. This role suits someone who understands high availability, engineers with discipline, and cares about building secure, reliable systems at scale. \n You’ll design, operate and improve hybrid Microsoft/Azure infrastructure while acting as a senior escalation point for the business. \n Engineer, maintain and evolve hybrid Microsoft infrastructure \n Deliver uptime-focused projects across networking, cloud and security \n Improve performance across identity, access and connectivity \n 5+ years in infrastructure engineering or systems engineering \n~ Strong Microsoft environment expertise: \n~ Windows Server, AD/Entra ID, Group Policy, O365, Intune \n~ Solid networking foundations: \n~ Azure engineering background: \n~ Governance, networking, identity and security configuration \n~ Exposure to data centre deployments

Job Title: DevOps Engineer Location: London / Hybrid - (Mainly remote with infrequent travel)\n Employment: Contract \n Duration : (3 months rolling contract)\n\n Strategic guidance for secure adoption and use of SaaS & PaaS platforms and services in the Microsoft, Google & Atlassian ecosystem, MongoDB Atlas and other first-party platforms developed by M&S. The services include databases, API gateways, code repositories, integration services, and others·\n Technical consulting to identify misconfigurations and reduce platform risk, helping raise organizational awareness of risks and best practices by participating in workshops, documentation efforts, and knowledge sharing·\n Support for secure design and integration of tools across business programs, providing access & configuration reviews for the various platforms; contributing to the implementation of platform security standards, policies, and baselines under guidance from senior team members; building a culture of security by promoting automation, repeatable patterns, and consistent practices across teams·\n Automation of security checks, configuration reviews, and access hygiene, including assistance in security integration into CI/CD pipelines, contributing to automated checks (e.g., GitHub Actions) that identify misconfigurations, vulnerabilities, and policy violations·\n Collaboration with platform teams and vendors to help evaluate and integrate security tools, ensuring smooth adoption across new and existing services. \n Solid understanding of security principles and architecture, particularly for databases and APIs·\n~ Understanding of Platform & Configuration Security, and Platform Monitoring, Response and Governance·\n~ Scripting (Python, Bash) for task automation and terraform for IAC·\n~ 3 years of hands-on experience in platform or infrastructure security, with a strong interest in building skills in this area. \n~ Good communication and teamwork skills, with the ability to collaborate with platform, DevOps, and security teams. \n~ Exposure to or interest in learning how security policies, standards, and governance frameworks are applied to APIs and databases. \n Understanding of Data Protection & Privacy·\n Security+, AWS/Azure/GCP fundamentals) is encouraged. \n Foundational understanding of cloud security principles and an eagerness to learn more about securing APIs and databases in cloud environments. \n Awareness of container security basics and interest in learning how to secure deployment workflows, access controls, and monitoring for APIs and data services.

Senior Flutter Engineer (Contract)#128176; Location: Remote first with occasional visits to central London office (no more than 1 or 2 times per month for workshops)\n\n We are working with a Series A startup that recently secured a £20m round. They are looking for 2 x exceptional Flutter Engineers to join a high-impact, greenfield project. This is an opportunity to build an enterprise-grade, cross-platform application from the ground up — with a strong emphasis on security, performance, and reliability . \n\n#Architect and implement high-quality, modular Flutter components for a real-time coordination platform. \n Drive best practices in testing, CI/CD, and automated release processes. \n Collaborate with backend engineers to integrate secure APIs and encrypted data flows. \n Contribute to defining a scalable, test-driven frontend architecture used across multiple device types. \n\n#4+ years of professional Flutter experience (7+ in mobile engineering overall). \n~ Strong grasp of application security , cryptography, and secure data handling. \n~ Deep knowledge of Flutter testing frameworks , CI/CD, and modern state management (e.g. Excellent communication and collaboration skills in remote/distributed teams. \n\n\n#Bonus Points \n Familiarity with Flutter FFI or writing SDKs/libraries. \n\n This is a contract for engineers who thrive on solving hard problems — where security, design excellence, and real-world impact all meet. \n\n#At Pixelated People, we don’t just do inclusion and diversity.

🚀 Senior Data Engineer – Hybrid (London) | £65K–£85K Ecom Recruitment are working with a fast-growing digital consultancy delivering cutting-edge data and tech solutions for some of the UK’s biggest brands. We’re looking for a Senior Data Engineer to join their expanding data team, someone who’s passionate about building cloud-native data platforms and pipelines that actually make an impact. You’ll be hands-on with AWS, Azure, or GCP, working in a collaborative environment that values innovation, quality, and teamwork. 💡 What you’ll bring: • Solid experience with Python, SQL, Spark, and Airflow, • Confident working across AWS, Azure, or GCP, • Great communication skills — able to work with both tech and business teams, • Comfortable in a consultancy environment, • Experience in the gambling/gaming sector is a plus 🏡 What’s on offer: • Hybrid working – 2 days a week in the London office, • 35 days holiday (including flexible bank holidays), • Private medical insurance, • Enhanced parental and adoption leave, • Pension matched up to 5% If you’re a Senior Data Engineer who loves solving complex problems, enjoys variety, and wants to work with modern cloud technologies we’d love to hear from you. Drop me a message or apply today 👇

Job Title: Senior Network Engineer - Cisco Professional Services Location: London (3 days onsite per week)\n Salary: £90,000\n\n The Company \n A leading Cisco Professional Services Partner, this organisation specialises in delivering next-generation network infrastructure to clients in the financial and professional services sectors. Operating at enterprise scale, they design, implement, and optimise complex Cisco environments that demand the highest standards of performance, security, and reliability. \n\n You’ll join a collaborative and technically accomplished team that’s passionate about innovation and continuous learning. This is an ideal environment for a motivated engineer looking to take the next step in their Cisco career, working on enterprise-level transformation projects alongside some of the industry’s most respected experts. \n\n Roles & Responsibilities \n As a Senior Network Engineer, you’ll be responsible for designing, implementing, and maintaining advanced Cisco network solutions across large-scale financial and enterprise environments. \n\n Key responsibilities include: \n Designing, configuring, and deploying Cisco-based network infrastructure. \n Supporting enterprise network transformation and optimisation projects. \n Collaborating with consultants, architects, and client stakeholders on solution delivery. \n Providing hands-on technical guidance and troubleshooting for complex network issues. \n Keeping up to date with emerging technologies and Cisco best practices. \n Assisting in automation, SDN, and cloud-network integration projects (ACI, SD-WAN, DNA Center). \n\n Your Skills & Experience \n CCIE certified (Routing & Switching, Enterprise, or Data Center) - recently achieved or in progress. \n Strong hands-on experience with Cisco technologies including Nexus, ACI, Catalyst, ASA, and ISE. \n Exposure to or keen interest in automation and cloud-network integrations (ACI, SDN, SD-WAN, DNA Center). \n Proven experience supporting large-scale enterprise or financial services environments. \n Excellent communication skills with the ability to engage with technical and non-technical stakeholders. \n Strong analytical mindset and problem-solving abilities. \n\n Company Benefits \n Hybrid working (3 days per week onsite in London). \n Opportunity to work on high-profile financial sector projects. \n Structured career development and training support. \n Access to leading Cisco technologies and next-gen network environments. \n Collaborative, technically driven team culture. \n\n\n JOB ID: #3460242

EC Markets is building a state-of-the-art in-house data centre to power our trading, operational, and marketing intelligence. \n\n We are seeking a Senior Data Engineer to lead the technical build-out of this initiative — from designing ETL pipelines to creating a secure, scalable data warehouse that underpins business-critical reporting and analytics. This is a high-impact role at the intersection of technology and financial insight, ideal for a senior professional with deep data engineering capabilities and proven experience supporting financial or trading-driven organisations, willing to grow into a Head of Data. \n\n Design, develop, and deploy a robust data infrastructure leveraging cloud-based services (AWS). \n Build and maintain ETL pipelines feeding data from multiple internal systems (trading, CRM, RUM, finance) into a central Data Lakehouse. \n Implement best practices for data ingestion, validation, transformation, and storage using modern cloud tools (e.g., Databricks, S3 Data Lakes, Spark, Redshift, AWS Glue). \n Working closely with data analysts to enable operational/regulatory reporting and data insights/visualisation. \n \n Data Governance & Quality \n\n Define and enforce data standards, quality assurance processes, and documentation across systems. \n Ensure system scalability, performance, and data privacy/security align with compliance and business requirements. \n \n Partner closely with trading, finance, marketing, and management teams to map data requirements and deliver analytics-ready structures. \n Lead the technical implementation while coordinating with external vendors or internal IT teams as needed. \n \n Define the core data architecture and choice of toolset. \n Define data models. \n Establish a secure and automated data development cycle. \n Project Ownership \n\n Drive the full lifecycle of the data centre project, establishing foundations for downstream reporting and BI functions. \n Support future integration of a dedicated Data & Reporting Analyst role, planned for the following year. \n Own data privacy and security aspects from a technology standpoint. \n \n Degree in Computer Science, Data Engineering, or a related quantitative field. \n Experience in the financial services or fintech sector is highly desirable. \n\n \n Hands-on experience designing and implementing ETL pipelines and data lake/warehouses in cloud environments. \n Advanced knowledge of AWS or Azure data services (Databricks, Glue, Redshift, S3 Data Lakes, Spark, or equivalent). \n Strong programming and data manipulation skills (Python, SQL). \n Solid background in financial reporting, trading data, or analytics within financial markets. \n Proven ability to manage complex, end-to-end data projects and collaborate cross-functionally across business units. \n Experience in the financial services or fintech sector is highly desirable.

Job Title: Senior AI Engineer – Industrial & Customer AI Location: London (Hybrid – 2–3 days/week in office)\n Contract Type: Inside IR35\n Duration: Initial contract with potential for extension \n Start Date: ASAP \n\n Are you a technically skilled and versatile AI Engineer with a passion for solving complex problems and delivering impactful solutions? We’re looking for a Senior AI Engineer to join a dynamic team working on cutting-edge industrial and customer-focused AI initiatives. \n\n Lead the design, development, and deployment of AI and machine learning solutions for enterprise environments. \n Apply advanced techniques such as deep learning, graph neural networks, object detection, sensor fusion, vector embedding, retrieval augmented generation, and generative AI. \n Provide strategic input on AI architecture and scalable deployment strategies. \n Collaborate with cross-functional teams to build intelligent systems that autonomously analyze data and generate actionable insights. \n Stay ahead of the curve by contributing thought leadership in emerging AI technologies, including large language models and generative AI. \n Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related STEM field. \n~5+ years of hands-on experience in data science and AI engineering. \n~ Proven track record of delivering AI software and deploying solutions in production. \n~ Strong proficiency in Python and libraries such as PyTorch, TensorFlow, Scikit-Learn, Keras, Numpy, Pandas, Langchain, Pinecone, and more. \n~ Experience with cloud platforms and compute systems for model training and deployment. \n~ Familiarity with industrial domains such as reliability, corrosion, WRFM, and process engineering. \n Experience with Azure ML Studio, Foundry, or Databricks Mosaic. \n Knowledge of NLP, LLM deployment, Agentic AI (MCP, A2A, N8N), and RAG systems. \n\n This is a fantastic opportunity to work on high-impact AI projects in a collaborative and forward-thinking environment.

Senior Machine Learning Engineer £100,000 - £120,000 - London | Hybrid (2/3 days onsite). \n\n I've partnered with a fast-growing technology company applying advanced AI to tough, real-world data problems. Their systems power automation and smarter decision-making in complex operational settings solutions, helping improve operational efficiency and reliability across energy firms worldwide. \n\n With strong R&D backing and a really high-calibre technical team, this is a rewarding pportunity to join a cutting-edge product group applying modern ML with tangeable environmental impact. \n\n As a Machine Learning Engineer, you will: \n Build and deploy ML models that drive decision-making and automation in complex physical systems \n Productionise research-grade ML using modern MLOps tooling \n 5+ years’ experience in machine learning engineering (some research is fine but this should be coupled with strong and referencable applied work in production.)\n~ Strong Python plus frameworks such as PyTorch - production experience with Docker / AWS \n~ Experience with time-series forecasting / analysis \n~ 30 days annual leave + bank holidays \n~ High-impact sustainability projects, seeing your work in production not just shelved \n~

Senior Machine Learning Engineer - Computer Vision \n Paying up to £110k + 7.5% bonus + $10,000 in share (yearly)\n London - 1 day a week \n I am currently working with a global leader within SportsTech, who are currently expanding their AI offerings and are looking to hire Senior MLOps Engineers. \n\n Their platform captures, analyses, and delivers insights from live video to transform how sports teams perform at every level, with a strong emphasis in professional sport. You'll work on projects that scale across thousands of live events globally, developing new experiences and insights that power the future of sports. The team are all using Computer Vision so an understanding of how this works is beneficial but not essential. \n\n Deliver at scale: deploy ML models across cloud and edge platforms, scaling to thousands of simultaneous matches. \n Lead impactful projects: Deep experience with Python and/or C++, plus proficiency with Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, and AWS. \n Demonstrated success delivering AI/ML products in collaboration with cross-functional product teams. \n Solid track record building and managing AI/ML systems in production environments at scale. \n\n Background applying AI/ML in the sports domain for data generation or insights. \n Senior Machine Learning Engineer - Computer Vision

Senior Java Developer- London/Hybrid- up to £95k \n Our client an innovative and light footed fintech startup/scaleup brand are on a mission to revolutionise the credit and lending space. The brand who have now been running for the last 10 years and backed by VC investment are looking to hire a Senior Engineer to work on an exciting Product roadmap over the coming years. \n\n This role is based out of central London on a hybrid approach and looking for people that are willing to come to their office 3 days per week, they may have a bit of flexibility on this and very flexible hours. \n\n Tech Stack: \n Java 11 (moving to Java 17)\n Relational Databases- SQL and ORM Tech (JPA, Hibernate)\n AWS \n ML/ Big Data- desirable \n Design and development of low latency software components \n Collaborate in agile development process meetings, stand ups, sprint panning, retrospectives and foster collaboration \n Projects: \n migration from java 11 to java 17\n brand new lender platform and payment systems for their customers \n Building a white label solution or managed service offering \n\n Salary is up to £95k plus a competitive benefits package which includes 5% matched pension (salary sacrifice), 25 days holiday plus bank holidays, private health care with aviva, income protection, super flexible hours, L&D budget, a modern and state of the art office with lots of socials and an outstanding Engineering Leader who has a history of building high performing teams and growth of individuals. \n\n Senior Java Developer- London/Hybrid- up to £95k

Job Title: Data Engineer (AI) Location: London (Hybrid – 3 days in office)\n Media, Campaign Media, AI/Data \n Tech: Python, Data engineering, pipelines, BigQuery, SnowFlake \n We’re hiring an AI Data Engineer to help build the next generation of intelligent analytics systems. The role combines data engineering, automation, and applied AI — giving you the chance to shape how complex datasets are processed, analysed, and turned into insights through large language models (LLMs) and automated pipelines. \n This is an excellent opportunity for someone early in their career (1–2+ years’ experience) who’s ready to step into a role with impact. You’ll work closely with experienced engineers and gain hands-on exposure to advanced tools, scalable data systems, and AI-powered reporting automation. \n\n Contribute to the design and maintenance of analytics pipelines, ensuring reliability and performance. \n Use SQL and Python to build data workflows, automation scripts, and reporting processes. \n Support the integration of AI and LLMs into reporting and query-generation systems. \n Collaborate across technical and non-technical teams to translate data into clear recommendations. \n Learn how to evolve manual workflows into scalable, automated intelligence systems. \n\n Experience in data analytics, data engineering, or campaign analytics. \n Strong SQL skills, plus Python (or R) for data processing and automation. \n Interest in AI/LLM applications — hands-on experience welcome but not essential. \n Understanding of digital performance metrics and data connectors (experience with platforms like Google Ads, Meta, or DSPs a bonus). \n Direct mentorship from senior engineers on advanced AI and automation projects. \n Opportunity to work on high-impact data systems used by major global clients. \n Clear career progression as the data team expands. \n Hybrid working with 3 days a week in our central London office. \n Annual learning budget for technical training, conferences, and AI/ML development.

Senior Data Engineer London | £80,000–£90,000 | Hybrid (3 days in office)\n\n We’re hiring a Senior Data Engineer with strong data skills to join a growing team that builds data products used by global brands to understand virtual and gaming worlds. \n\n You’ll work on scalable data pipelines, APIs, and React components that connect backend systems to client-facing dashboards. The work involves handling data from multiple sources, transforming it into actionable insights, and building tools that support rapid product experiments. \n\n What you’ll do \n Design and maintain data pipelines that process and transform complex data \n Develop and optimise APIs for data access and integration \n Contribute to front-end features in React to ensure seamless data flow \n Collaborate with engineers, designers, and product teams to ship new features quickly \n Take ownership of projects from idea to delivery and lead technical discussions \n Help shape future AI-powered client features \n\n Who you are \n Confident working with SQL/NoSQL/PostgreSQL databases and data pipeline tools \n~ Strong expertise in programming languages such as NodeJS \n~ Experience with cloud services like AWS or Google Cloud Platform \n~ Knowledge of data streaming technologies like Apache Kafka or AWS Kinesis \n\n\n What’s on offer \n\n Three office days: Monday, Tuesday, and Thursday (remote on Wed/Fri)\n~ Flat structure with progression based on skill and project ownership \n~ Work with real data from some of the world’s biggest brands \n\n\n If you enjoy building end-to-end systems, working with interesting data, and shaping new products in a startup environment, this could be a strong fit. \n\n Message me directly if interested at

Job Title: Senior Technology & Automation Engineer (Infrastructure & Cloud) Location: London \n\n As the Senior Technology & Automation Engineer in the TechOps & Project Delivery team, you will be required to support the design, implementation, and optimization of enterprise infrastructure systems. The ideal candidate will possess technical expertise across multiple infrastructure domains including networking, cloud platforms, virtualization, data centre operations, and cybersecurity. A solid understanding of Citrix technologies such as application and desktop virtualisation, session management and load balancing, and Citrix cloud management will be key, alongside key networking technologies such as Cisco LAN/WAN/WIFI and Palo Alto firewalls. \n There will be a requirement to help develop, design and drive new initiatives in AI and Automation to enhance working practices across all business lines. \n The individual will report directly to the Head of Technical Operations (Project, Delivery and Engineering) and may work closely with infrastructure support teams. \n Architecture Design & Planning \n Serve as part of a group of technical authority for all infrastructure-related initiatives, ensuring alignment with organizational goals and IT strategies. \n Design and implement resilient, scalable, and secure infrastructure solutions across on-premises, hybrid, and cloud environments (e.g., AWS, Azure, GCP) for M&A activities. \n Participate and lead troubleshooting efforts for complex infrastructure issues and ensure root cause analysis and documentation. \n Participate in and lead infrastructure assessments, capacity planning, and performance tuning. \n Ensure compliance with industry regulations, corporate policies, and SLAs. \n\n Stay current with emerging AI technologies and industry trends. \n Participate in knowledge sharing within the organization and broader community. \n\n Work closely with business analysts, project managers, and subject matter experts to understand requirements. \n Drive AI and Automation opportunities for the business where appropriate. \n Provide technical mentorship to fellow TechOps & Delivery team members and act as a consultant to cross-functional project teams. \n Risk Assessment & Compliance \n Collaborate with information security teams to implement best practices, including hardening, patching, and threat mitigation. \n Ensure solutions comply with security, regulatory, and organizational standards. \n\n Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field (or equivalent experience). \n Networking (Cisco LAN/WAN, WIFI, Palo Alto firewalls, Infoblox, ZScaler)\n~ Cloud platforms (AWS, Azure, GCP)\n~ Operating systems (Windows Server, Linux)\n~ At least one industry certification such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, Cisco CCNP, VMware VCP, or CompTIA Security+.

Job Title: Senior Technology & Automation Engineer (Infrastructure & Cloud) Location: London \n\n As the Senior Technology & Automation Engineer in the TechOps & Project Delivery team, you will be required to support the design, implementation, and optimization of enterprise infrastructure systems. The ideal candidate will possess technical expertise across multiple infrastructure domains including networking, cloud platforms, virtualization, data centre operations, and cybersecurity. A solid understanding of Citrix technologies such as application and desktop virtualisation, session management and load balancing, and Citrix cloud management will be key, alongside key networking technologies such as Cisco LAN/WAN/WIFI and Palo Alto firewalls. \n There will be a requirement to help develop, design and drive new initiatives in AI and Automation to enhance working practices across all business lines. \n The individual will report directly to the Head of Technical Operations (Project, Delivery and Engineering) and may work closely with infrastructure support teams. \n Architecture Design & Planning \n Serve as part of a group of technical authority for all infrastructure-related initiatives, ensuring alignment with organizational goals and IT strategies. \n Design and implement resilient, scalable, and secure infrastructure solutions across on-premises, hybrid, and cloud environments (e.g., AWS, Azure, GCP) for M&A activities. \n Participate and lead troubleshooting efforts for complex infrastructure issues and ensure root cause analysis and documentation. \n Participate in and lead infrastructure assessments, capacity planning, and performance tuning. \n Ensure compliance with industry regulations, corporate policies, and SLAs. \n\n Stay current with emerging AI technologies and industry trends. \n Participate in knowledge sharing within the organization and broader community. \n\n Work closely with business analysts, project managers, and subject matter experts to understand requirements. \n Drive AI and Automation opportunities for the business where appropriate. \n Provide technical mentorship to fellow TechOps & Delivery team members and act as a consultant to cross-functional project teams. \n Risk Assessment & Compliance \n Collaborate with information security teams to implement best practices, including hardening, patching, and threat mitigation. \n Ensure solutions comply with security, regulatory, and organizational standards. \n\n Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field (or equivalent experience). \n Networking (Cisco LAN/WAN, WIFI, Palo Alto firewalls, Infoblox, ZScaler)\n~ Cloud platforms (AWS, Azure, GCP)\n~ Operating systems (Windows Server, Linux)\n~ At least one industry certification such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, Cisco CCNP, VMware VCP, or CompTIA Security+.

Job Title: Senior Network Engineer - Cisco Professional Services Location: London (3 days onsite per week)\n Salary: £90,000\n\n The Company \n A leading Cisco Professional Services Partner, this organisation specialises in delivering next-generation network infrastructure to clients in the financial and professional services sectors. Operating at enterprise scale, they design, implement, and optimise complex Cisco environments that demand the highest standards of performance, security, and reliability. \n\n You’ll join a collaborative and technically accomplished team that’s passionate about innovation and continuous learning. This is an ideal environment for a motivated engineer looking to take the next step in their Cisco career, working on enterprise-level transformation projects alongside some of the industry’s most respected experts. \n\n Roles & Responsibilities \n As a Senior Network Engineer, you’ll be responsible for designing, implementing, and maintaining advanced Cisco network solutions across large-scale financial and enterprise environments. \n\n Key responsibilities include: \n Designing, configuring, and deploying Cisco-based network infrastructure. \n Supporting enterprise network transformation and optimisation projects. \n Collaborating with consultants, architects, and client stakeholders on solution delivery. \n Providing hands-on technical guidance and troubleshooting for complex network issues. \n Keeping up to date with emerging technologies and Cisco best practices. \n Assisting in automation, SDN, and cloud-network integration projects (ACI, SD-WAN, DNA Center). \n\n Your Skills & Experience \n CCIE certified (Routing & Switching, Enterprise, or Data Center) - recently achieved or in progress. \n Strong hands-on experience with Cisco technologies including Nexus, ACI, Catalyst, ASA, and ISE. \n Exposure to or keen interest in automation and cloud-network integrations (ACI, SDN, SD-WAN, DNA Center). \n Proven experience supporting large-scale enterprise or financial services environments. \n Excellent communication skills with the ability to engage with technical and non-technical stakeholders. \n Strong analytical mindset and problem-solving abilities. \n\n Company Benefits \n Hybrid working (3 days per week onsite in London). \n Opportunity to work on high-profile financial sector projects. \n Structured career development and training support. \n Access to leading Cisco technologies and next-gen network environments. \n Collaborative, technically driven team culture. \n\n\n JOB ID: #3460242

Data Engineer – Hedge Fund | AWS | SQL | Python | Power BI \n\n\n Contract: Full-time \n Salary: £150,000 + Bonus + Benefits \n\n A leading hedge fund is seeking a skilled Data Engineer to join its front-office technology team. This is a high-impact role where you’ll work directly with portfolio managers, quants, and analysts to design and deliver scalable, cloud-based data solutions that power trading and investment strategies. \n\n Design, build, and optimise data pipelines and ETL workflows using AWS, Python, and SQL. \n Develop and maintain data models, ensuring accuracy and reliability of trading and market data. \n Deliver Power BI dashboards and reports to provide real-time insights for investment teams. \n Partner with stakeholders across the equities business to understand data requirements and deliver impactful solutions. \n Ensure data quality, governance, and performance standards are consistently met. \n Collaborate with quants, traders, and developers to support research, trading, and risk workflows. \n\n\n Proven experience as a Data Engineer within financial services, ideally hedge funds or buy-side. \n Strong expertise in AWS (S3, Glue, Lambda, Redshift, Kinesis, etc.). \n Advanced skills in Python and SQL for building pipelines and optimising performance. \n Hands-on experience with Power BI for data visualisation and reporting. \n Strong understanding of equities trading and market data. \n Excellent communication and stakeholder management skills, with the ability to work closely with front-office teams. \n\n\n Be part of a collaborative front-office tech team driving data innovation. \n Competitive compensation, strong bonus potential, and career growth opportunities. \n Chance to shape and scale modern data infrastructure with cutting-edge cloud technologies. \n\n\n If you’re a Data Engineer with strong AWS, Python, SQL, and Power BI skills, and want to apply your expertise in the dynamic world of equities trading, we’d love to hear from you.

Job Title: Data Engineer (AI) Location: London (Hybrid – 3 days in office)\n Media, Campaign Media, AI/Data \n Tech: Python, Data engineering, pipelines, BigQuery, SnowFlake \n We’re hiring an AI Data Engineer to help build the next generation of intelligent analytics systems. The role combines data engineering, automation, and applied AI — giving you the chance to shape how complex datasets are processed, analysed, and turned into insights through large language models (LLMs) and automated pipelines. \n This is an excellent opportunity for someone early in their career (1–2+ years’ experience) who’s ready to step into a role with impact. You’ll work closely with experienced engineers and gain hands-on exposure to advanced tools, scalable data systems, and AI-powered reporting automation. \n\n Contribute to the design and maintenance of analytics pipelines, ensuring reliability and performance. \n Use SQL and Python to build data workflows, automation scripts, and reporting processes. \n Support the integration of AI and LLMs into reporting and query-generation systems. \n Collaborate across technical and non-technical teams to translate data into clear recommendations. \n Learn how to evolve manual workflows into scalable, automated intelligence systems. \n\n Experience in data analytics, data engineering, or campaign analytics. \n Strong SQL skills, plus Python (or R) for data processing and automation. \n Interest in AI/LLM applications — hands-on experience welcome but not essential. \n Understanding of digital performance metrics and data connectors (experience with platforms like Google Ads, Meta, or DSPs a bonus). \n Direct mentorship from senior engineers on advanced AI and automation projects. \n Opportunity to work on high-impact data systems used by major global clients. \n Clear career progression as the data team expands. \n Hybrid working with 3 days a week in our central London office. \n Annual learning budget for technical training, conferences, and AI/ML development.

Job Title: Data Engineer (AI) Location: London (Hybrid – 3 days in office)\n Media, Campaign Media, AI/Data \n Tech: Python, Data engineering, pipelines, BigQuery, SnowFlake \n We’re hiring an AI Data Engineer to help build the next generation of intelligent analytics systems. The role combines data engineering, automation, and applied AI — giving you the chance to shape how complex datasets are processed, analysed, and turned into insights through large language models (LLMs) and automated pipelines. \n This is an excellent opportunity for someone early in their career (1–2+ years’ experience) who’s ready to step into a role with impact. You’ll work closely with experienced engineers and gain hands-on exposure to advanced tools, scalable data systems, and AI-powered reporting automation. \n\n Contribute to the design and maintenance of analytics pipelines, ensuring reliability and performance. \n Use SQL and Python to build data workflows, automation scripts, and reporting processes. \n Support the integration of AI and LLMs into reporting and query-generation systems. \n Collaborate across technical and non-technical teams to translate data into clear recommendations. \n Learn how to evolve manual workflows into scalable, automated intelligence systems. \n\n Experience in data analytics, data engineering, or campaign analytics. \n Strong SQL skills, plus Python (or R) for data processing and automation. \n Interest in AI/LLM applications — hands-on experience welcome but not essential. \n Understanding of digital performance metrics and data connectors (experience with platforms like Google Ads, Meta, or DSPs a bonus). \n Direct mentorship from senior engineers on advanced AI and automation projects. \n Opportunity to work on high-impact data systems used by major global clients. \n Clear career progression as the data team expands. \n Hybrid working with 3 days a week in our central London office. \n Annual learning budget for technical training, conferences, and AI/ML development.

Senior Data Engineer London (3 days in office) | Up to £70,000 + Bonus \n\n I’m working with an employee-owned media agency that’s looking for a Senior Data Engineer to take ownership of their data platform and lead a small team. \n The role focuses on building and optimising data pipelines, shaping cloud data architecture, and supporting the use of AI across the business. You’ll stay hands-on while mentoring junior engineers and helping develop the agency’s future data capability. \n\n Strong background in data engineering – Python, SQL, and cloud (GCP or Azure). \n Experience designing and managing data pipelines and warehouse solutions . \n Solid understanding of data architecture and integration . \n This is a fantastic opportunity to take the lead on data engineering within a creative, fast-moving business that values innovation and ownership.

Job Title: Data Engineer (AI) Location: London (Hybrid – 3 days in office)\n Media, Campaign Media, AI/Data \n Tech: Python, Data engineering, pipelines, BigQuery, SnowFlake \n We’re hiring an AI Data Engineer to help build the next generation of intelligent analytics systems. The role combines data engineering, automation, and applied AI — giving you the chance to shape how complex datasets are processed, analysed, and turned into insights through large language models (LLMs) and automated pipelines. \n This is an excellent opportunity for someone early in their career (1–2+ years’ experience) who’s ready to step into a role with impact. You’ll work closely with experienced engineers and gain hands-on exposure to advanced tools, scalable data systems, and AI-powered reporting automation. \n\n Contribute to the design and maintenance of analytics pipelines, ensuring reliability and performance. \n Use SQL and Python to build data workflows, automation scripts, and reporting processes. \n Support the integration of AI and LLMs into reporting and query-generation systems. \n Collaborate across technical and non-technical teams to translate data into clear recommendations. \n Learn how to evolve manual workflows into scalable, automated intelligence systems. \n\n Experience in data analytics, data engineering, or campaign analytics. \n Strong SQL skills, plus Python (or R) for data processing and automation. \n Interest in AI/LLM applications — hands-on experience welcome but not essential. \n Understanding of digital performance metrics and data connectors (experience with platforms like Google Ads, Meta, or DSPs a bonus). \n Direct mentorship from senior engineers on advanced AI and automation projects. \n Opportunity to work on high-impact data systems used by major global clients. \n Clear career progression as the data team expands. \n Hybrid working with 3 days a week in our central London office. \n Annual learning budget for technical training, conferences, and AI/ML development.