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Lead AI Engineer Hybrid Working on Client Site £90,000 to £110,000 plus bonus and benefits This is a standout opportunity to shape and deliver cutting‑edge digital solutions that drive real operational impact. You will work directly with clients, embedding AI, advanced analytics, and digital tools into live environments and seeing your work translate into tangible outcomes. The Company This organisation is known for delivering meaningful, measurable change across both public and private sectors. They partner closely with clients to solve complex challenges using AI, data science, and digital innovation. Their culture is collaborative, low‑ego, and centred on developing exceptional talent. As they scale their digital capabilities, you will be joining a growing team with significant influence on its future direction. The Role • Identify high‑impact opportunities to apply AI, data science, advanced analytics, and digital tooling., • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools., • Work closely with client teams on the ground to embed solutions directly into operations., • Guide multi‑disciplinary teams that combine people, processes, and technology to deliver sustainable results., • Translate complex technical concepts into clear, actionable insights for non‑technical stakeholders., • Mentor colleagues and help shape best‑practice approaches across digital programmes., • Stay current with emerging technologies and bring innovative ideas into client delivery. Client site travel is essential as you will drive change alongside client teams. Your Skills and Experience • Strong commercial experience taking digital ideas from concept through to operational impact., • Deep capability in AI, data science, advanced analytics, or digital tooling., • Ability to turn technical designs into practical, in‑operation solutions., • Confident leading teams and managing stakeholders across technical and non‑technical backgrounds., • Skilled at communicating complex ideas simply and clearly., • A hands‑on, client‑centric approach with a focus on delivering measurable outcomes., • Comfortable working on‑site with clients to drive change in real time. What They Offer • Clear progression pathways with structured development support., • Exposure to high‑impact projects across diverse sectors., • A collaborative digital community with access to the latest technologies. How to Apply If you are excited by the opportunity to deliver meaningful, data‑driven impact, please apply with your CV.

A leading global investment platform is building out its Private Markets capability and is looking to hire a high-impact Investment Data Engineer (VP level) to join its London team. This is a rare opportunity to step into a foundational data role within a fast-scaling private credit business—where you’ll shape architecture, analytics, and data strategy from the ground up. The Opportunity You’ll take ownership of the end-to-end data ecosystem supporting a growing private credit platform, working at the intersection of engineering, analytics, and investment decision-making. This role combines hands-on technical delivery with strategic influence, offering direct exposure to deal teams, fundraising activity, and portfolio monitoring. Key Responsibilities • Lead the design and build of modern data infrastructure across SQL Server and Azure (Data Lake, Databricks), • Develop scalable data pipelines and integrate multiple internal and external systems, • Create intuitive front-end tools and workflows to drive user adoption across the business, • Build and deploy machine learning models (text extraction, deal sourcing, portfolio monitoring), • Own and evolve portfolio data pipelines, expanding coverage across live and historical deals, • Establish data governance frameworks and data quality processes from scratch Candidate Profile We’re looking for a technical self-starter who thrives in a build environment: • Strong programming skills across Python, SQL, • Proven experience building production-grade data platforms in Azure, • Experience deploying machine learning models into live environments, • Exposure to data governance and data quality frameworks, • Ability to engage business users and deliver user-facing tools and insights, • Background in financial services, private credit, or asset management is advantageous Why Apply? • Build a greenfield data architecture within a high-growth investment platform, • Work directly with investment professionals on deal-critical analytics, • Gain exposure to front-office decision-making and fundraising activity, • Join a team where data is central to strategy, not just reporting

Venesky Brown is currently looking for a Project Controls Manager to join the team at the Sizewell C nuclear new build in Suffolk. This is a long-term contract role based in either the London or Suffolk office with hybrid working available. Travel to Paris will also be required as part of this role. Principal Accountabilities: • Responsible for either the complete Project Controls activities for a discrete area of scope or supporting Programme Controls Managers in the wider delivery of Project Controls activities. Deputy to ProgCM., • Responsible for liaising with the supply chain and the assurance of their Project Controls information, • Co-ordination of Project Controls Functions to ensure the delivery of integrated Project Controls management information., • To support the Programme Controls Manager with progress reporting including schedule updates, forecast to complete, variance identification and opportunities for improvement., • Accountable for the on-time production and quality of month end Performance Reports, • Help ensure SZC is viewed by the Construction Industry as an exemplar in Project Controls through knowledge sharing, networking and delivering presentations to the sector., • Management of senior stakeholders related to the scope being controlled or within SZC. Knowledge, Skills, Qualifications, Experience Essential • All items detailed above in the Job Purpose and accountabilities section., • Degree or equivalent qualification in business analysis, accounting, finance, construction, engineering or project management, or related technical field., • A track record of working as a Project Controls Engineer or Manager on large and complex infrastructure projects for a minimum of 15 years., • Experience of working within more than one of the Project Controls Functions of: cost control, estimating, scheduling, change management and risk management., • Detailed understanding of earned value analysis & application to various contract types., • Experience of integrated project controls & change control & drumbeat., • Experience of successfully managing a team in a matrix structure on a project., • Experience with increasing responsibility showing an ability to manage senior stakeholders., • Deliverables focused and an accomplished problem solver, rising to meet any challenge., • Excellent presentation, influencing and facilitation skills., • Exceptional interpersonal and communication skills. Desirable • Active membership of AACE, PMI, APM or similar association with association certifications., • User of a range of reporting and analytics software and project controls systems particularly Power BI., • Understanding of various contract types, in particular the NEC suite and FIDIC., • Experience in the Nuclear sector Job Purpose / Overview SZC Project Controls will serve as a centre of excellence, managing and strategically using delivery performance management information. Our team will enable successful delivery of SZC Project through proactive Project Controls that drives forward-looking solutions to continuously improve performance. As a Project Controls Manager or Engineer, you will be working within either the Project Management Office (PMO) or the Delivery Programmes. The post holder will be ultimately responsible for either the complete Project Controls activities for a discrete area of scope or supporting Programme Controls Managers in the wider delivery of activities that support the Project Controls Execution Plan which ensures we operate and deliver controls within the SZC governance structure, organisation and delivery model. They will ensure Project Controls activities being carried out in an efficient manor in accordance with calendars and deadlines established on SZC. They will be proactive in their approach to driving innovation which will support Project Controls activities on SZC being ‘Digital by Default’. The candidate should have experience of working on a large-scale project environment and they will have experience of working in multiple Project Controls functions and understand how integrated Project Controls management information is achieved. This knowledge and their previous experience on major programmes and projects will enable them to assure and challenge outputs produced by the various project controls functions. They will be able to write and edit reporting narrative, so that reports all have a consistent style, and the narrative answers the ‘So What?’ question for Managers and Leadership. They will have experience of working with the supply chain, multi discipline teams and senior leadership to ensure that Project Controls activities are carried out effectively. They will also be comfortable to run month end Performance Reviews for their scope or cover the month end reviews for the Programme Controls Managers when required. They should be able to demonstrate their ability to handle multiple Project Controls activities, tasks or one of exercises that might be asked of them and ensure they can prioritize these for successful delivery. Vacancy Overview: Are you looking for a career which is rewarding, at the cutting edge of project development and where you can really make a difference? Come and join our expanding Sizewell C (SZC) team and work on one of the most exciting and largest megaprojects in the UK, whilst being at the forefront of the UK’s climate change agenda and energy policy. Following on from the success of Hinkley Point C (HPC), the SZC Project is a nuclear new build project in Suffolk, which has obtained planning approval and Government financing support. The project has started construction and is now seeking private investment. When completed, it will provide dependable electricity to 6 million homes for 60 years, which along with renewables, will support Britain to achieve Net Zero by 2050.

Databricks Data Engineer (Contract) | London (Hybrid) | £500–£650 per day (Inside IR35) Peaple Talent are working with a data consultancy who partner with a range of enterprise clients to deliver modern cloud data platforms. They’re currently looking for a Databricks Data Engineer to support multiple client engagements across large-scale data transformation programmes. 💻 The Role This is a hands-on Databricks Data Engineering contract where you’ll be working across different client environments, helping design, build and optimise scalable data platforms. You’ll be focused on delivering robust data pipelines and analytics-ready datasets using Databricks, working across cloud environments such as Amazon Web Services or Microsoft Azure depending on the client. The work will range from greenfield builds through to modernisation of existing data estates. 🔧 Key Responsibilities • Design and build scalable data pipelines using Databricks, • Develop and optimise ETL/ELT workflows using Spark (PySpark/SQL), • Support migration and modernisation of legacy data platforms into Databricks, • Improve performance, reliability and cost efficiency across data workloads, • Work closely with Data Engineers, Analysts and Architects across client teams, • Implement data quality, governance and best practices across delivery ✅ What We’re Looking For • Strong hands-on experience with Databricks in a Data Engineering capacity, • Solid experience with Spark (PySpark / Spark SQL), • Proven track record building and optimising data pipelines (ETL/ELT), • Experience working within cloud environments (AWS or Azure), • Strong SQL skills and experience working with large-scale datasets, • Familiarity with orchestration tools such as Airflow or similar, • Good understanding of data modelling and distributed data processing concepts, • Comfortable working across multiple client environments and stakeholders 🎁 What’s on Offer • Day Rate: £500–£650 (Outside IR35), • Location: London, • Remote working: 3 days a week onsite, • Initial 6-month contract (strong likelihood of extension), • Exposure to multiple enterprise data transformation programmes, • Opportunity to work across a variety of Databricks implementations within a consultancy environment Databricks Data Engineer (Contract) | London (Hybrid) | £500–£650 per day (Inside IR35)

A globally recognised, high-growth consumer brand is looking for a Commercial AI & Data Lead to build and own its next-generation agentic AI framework across commercial and sales functions. This is not a strategy role. This is a build role. You’ll design and deploy production-grade AI systems that directly impact revenue, performance, and decision-making - working at the intersection of AI engineering and commercial strategy. The Mission Design and scale a commercial agent ecosystem, enabling smarter, faster decision-making across multiple domains. Tech Stack Snowflake | Python | OpenAI/Claude APIs | LangGraph/CrewAI | dbt | SQL What we’re looking for • Experience building production AI / multi-agent systems (LangChain, LangGraph, CrewAI, AutoGen, etc.), • Strong Python engineering skills (clean, production-grade code), • Hands-on experience with cloud data platforms (Snowflake preferred), • Ability to translate complex AI systems into clear commercial impact, • 4–9 years’ experience as a hands-on builder (not a pure manager) Nice to have • FMCG / retail / commercial analytics experience (NIQ/Circana a plus), • dbt / semantic layer design, • MLOps, evaluation & observability tooling, • Background in consulting or data science roles, now looking to own a product end-to-end Why this role is different • Build real systems, not decks, • Own the architecture, not just execution, • Work directly with commercial leaders, • Join a brand known for innovation, pace, and cultural impact If you’re an AI engineer or data scientist who wants to move from projects → product ownership, this is your role. Central London based - Hybrid £90k base + significant bonus & benefits package

Job: Senior Python Quant Developer – Pricing & Analytics Location: London, UK Hybrid working – 2 to 3 days on-site (Canary Wharf) Full time Who We Are Looking For * • 6+ years’ experience as a Quant Developer or Quant Engineer within an investment bank or similar financial institution, • Proven exposure to front-office pricing, risk, or analytics platforms (Rates, FX, Equities, Credit, or XVA), • Experience working closely with traders, quants, and risk teams in a production environment, • Strong academic background in Mathematics, Physics, Engineering, or Financial Engineering Your Technical Competencies * • Advanced Python development (object-oriented design, performance optimisation, testing), • Hands-on experience with pricing models, risk analytics, or P&L systems, • Strong understanding of numerical methods, statistics, and financial mathematics, • Experience with SQL and data-intensive systems, • Familiarity with distributed systems, APIs, and cloud environments is a plus, • Exposure to C++ or other low-level languages is advantageous Your Ideal Behavioural Traits * • Comfortable operating in a front-office, fast-paced environment, • Strong ownership mindset with the ability to deliver under pressure, • Clear and confident communicator with technical and non-technical stakeholders, • Collaborative and able to bridge the gap between quantitative and technology teams Your Ideal Personality Traits * • Curious and analytical, with a passion for financial markets and quantitative problem-solving, • Detail-oriented while maintaining a pragmatic, delivery-focused approach, • Proactive, self-motivated, and comfortable working with minimal supervision, • Resilient and adaptable in a constantly evolving trading environment Your Responsibilities * • Design, build, and maintain Python-based pricing and analytics libraries used by front-office teams, • Implement and optimise models supporting risk, valuation, and P&L analysis, • Ensure robustness, scalability, and performance of production systems, • Partner with traders, quants, and risk teams to deliver high-impact solutions, • Contribute to the evolution of quantitative platforms and best engineering practices Who We Are Our Expertise We provide high-impact consulting across five key domains: * • Quantitative Finance — Model design, implementation and validation., • Risk & Regulatory — Risk frameworks and regulatory transformation., • Data & AI — Data optimisation and AI adoption with strong governance., • Digital & Technology — Cloud, engineering, automation and digital solutions., • Transformation — Change management and large-scale delivery programmes. Our Commitment Built on excellence, collaboration and innovation, Quanteam partners with clients to strengthen resilience, accelerate transformation and build future-ready capabilities.

Salary: up to £200k base + bonus Summary Leading global HFT firm is looking for a pragmatic C/C++ Engineer to join the Core Development team. Despite serving as the hub for managing the substantial operations across the UK, Europe and the Middle East, the London office retains a lively, positive environment of a start-up with the stability of a longer-established player. Core Dev is a global group of technologists who architect, build and maintain the algorithmic trading platform. This is a fast-paced area, where taking ideas through to deployment must be fast and accurate. As a high performance software engineer, you'll work with technologists & traders to build the next generation of software solutions in areas such as fast networking, high performance computing, and real-time acceleration. Technology is prized by the traders as crucial to their continued success. This role would suit someone who has a combination of low level software engineer skills paired with computer architecture understanding, and exposure to low level network architecture. This will enable you to fully contribute to co-designing hybrid hardware/software applications. Requirements • Strong C/C++ design and programming skills with good API design, • Broad knowledge of algorithms and basic understanding of statistics and algebra, • Experience with Python, Matlab, or R for data analytics; Matplotlib, numpy are also preferred, • Experience developing low-level and/or embedded software applications, • Proven individual contributor in a dynamic environment Benefits • Competitive base salary & bonus, • Enormous opportunity to grow, learn and have a significant business impact, • Contributions are rewarded; career progression supported, • Substantial benefits package, including private medical, paid parental leave, group life assurance & parking/cycle schemes Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful. Contact If this sounds like you or you would like to know more, please get in touch: Andy Stirling-Martin 020 3137 9579 linkedin.com/in/andrew-stirling-martin-7664a946

Data Engineer | London Hybrid | £70,000–£100,000 + 30–40% Bonus I’m currently working with a well-established and growing business in the insurance market that is looking to hire a Data Engineer into its London team. This is a strong opportunity for a Data Engineer with 3+ years of experience who enjoys working at the core of a business’s data estate — particularly where there is a need to modernise legacy SQL Server / on-prem data environments into a more scalable Azure-based platform. The role will suit someone who is confident across Azure data engineering, pipeline development, data modelling and stakeholder engagement, and who wants to play a hands-on role in shaping a more modern data infrastructure. There is also the opportunity to support broader AI and LLM-related initiatives over time. The role You will play a key role in helping to evolve and modernise the business’s data environment, with a particular focus on moving away from more traditional / legacy data processes into a more robust, scalable and cloud-based architecture. This role will involve: • Designing, building and optimising scalable ETL / ELT pipelines, • Helping modernise and migrate traditional SQL Server / on-prem data processes into Azure, • Working across Azure Data Factory, Synapse / Fabric, Azure SQL / data lake environments, • Building and improving data models to support reporting, analytics and business decision-making, • Improving data quality, validation, monitoring and overall reliability of core datasets, • Supporting integration work across internal systems, third-party platforms and APIs, • Working closely with business stakeholders to translate operational requirements into scalable technical solutions, • Contributing to reporting and dashboard capability through tools such as Power BI, • Supporting current and future AI / LLM-related projects where relevant What they’re looking for • 3+ years’ experience in Data Engineering or a closely related role, • Strong hands-on experience with SQL and Python, • Experience building and maintaining production-grade data pipelines, • Strong exposure to Azure data services, ideally including tools such as Azure Data Factory, Synapse, Fabric, Azure SQL or Azure Data Lake, • Experience working on or supporting the modernisation of legacy / on-prem / SQL Server-based data environments, • Good understanding of ETL / ELT, data modelling, data warehousing and reporting workflows, • Experience with Power BI, modern data tooling and version control / CI/CD, • Someone comfortable working with non-technical stakeholders and gathering requirements from the business, • Insurance, London Market or insurance broking data experience would be beneficial, but is not essential, • Interest in emerging AI / LLM / AI-assisted tooling is a bonus Package • £70,000–£100,000 base salary, • 30–40% bonus, • Hybrid working, • 33 days holiday, plus the option to buy 5 additional days, • Excellent pension, double matched by the company up to 10% This is a genuinely strong opportunity for a Data Engineer who wants: • real ownership across data platform modernisation, • the chance to work on Azure-based transformation work, • exposure to a complex, business-critical data environment, • a strong overall package and benefits offering, • involvement in both current data engineering priorities and future AI initiatives, • If this looks of interest, please apply with your most up-to-date CV. If this looks of interest, please apply with your most up to date CV

A boutique multi‑strategy investment firm is building a next‑generation real‑time data platform to support systematic and discretionary trading across multiple asset classes. They are hiring a VP‑level Market Data Engineer to take ownership of high‑performance data ingestion and live feed architecture. This is a hands‑on technical leadership role for someone who enjoys working close to the data, at scale, in a low‑latency environment. You will lead the engineering of real-time market data feeds, ingesting millions of messages per second and handling terabytes to petabytes of data from live sources. This platform underpins trading, analytics and research with a strong focus on low-latency, high-throughput and resilience. You'll work closely with trading, quant and platform teams to design and evolve a highly optimised market data stack. Areas Of Focus: • Real-time market data ingestion and processing at scale., • Low-latency Java systems (event-driven, high-throughput)., • Bloomberg, TREP, Refinitiv etc feed integration., • Direct venue connectivity and market data normalisation., • Handling TB-PB scale datasets from continuous live feeds., • Data quality, sequencing, recovery and resiliency in real-time systems. What They're Looking For: • Strong hands-on background in Java building low-latency, high performance systems., • Experience in hedge fund, prop trading, or investment banking environments., • Deep expertise with market data feeds (Bloomberg, TREP, direct exchange feeds)., • Proven experience processing millions of events per second in real time., • Solid understanding of data ingestion pipelines, streaming architectures, and fault tolerance., • Technical ownership, architecture and mentoring. Nice To Have: • KDB / Time Series Database, • Python, • Cloud/hybrid infrastructure exposure.

Python Desk developer | Energy Trading Desk | £150k | Hybrid, LDN | Perm Python Engineer to work directly on the trading desk for a Global Energy Trading Firm is scaling aggressively into new‑energy markets. They’re looking for a Python engineer who has experience sitting directly within the front office, embedded with traders, and build tools that influence real‑time decision‑making. This Python Developer will be on the trading floor, working shoulder‑to‑shoulder with high‑performing commercial teams. The desk is looking for someone who can translate market problems into clean, reliable, production‑ready Python with direct impact on P&L. This Python Developer will gain a high level of business exposure. You’re not just delivering tickets - you’re shaping how the desk thinks about storage optimisation, pre-trade analytics, and forecasting. You’ll gain a deep understanding of how energy markets work in practice, particularly in a complex and evolving market like Japan, while partnering closely with some very sharp commercial minds. This Python Developer is: 💰Paying up to £150k + Benefits and Bonus 🚆 Hybrid – 2 days on‑site (Oxford Circus) ⏰ 6‑month rolling contract (Multi-year) 🧑 💻Strong Python software engineering. Experience building systems in finance (e.g. trading, pricing, risk, PnL). Translating desk problems into Technical Solutions. This Python developer will be using the full Python ecosystem: NumPy, pandas, SciPy, Plotly, FastAPI, but the desk expects you to go beyond the textbook stack. When latency becomes a bottleneck, you’ll reach for async IO, Cython, shell scripting, or whatever unconventional solution gets the job done. If you are interested in this Python role with strong Front Office experience, please reply with your latest CV or send to Python Desk developer | Energy Trading Desk | £150k | Hybrid, LDN | Perm

Senior Data Engineer – Python Hybrid | Full‑time | Competitive Salary + Benefits A high‑growth, technology‑driven business is hiring a Senior Data Engineer to take ownership of its core data platform. This is a hands‑on engineering role with real architectural influence — you’ll design, build, and scale the pipelines, models, and tooling that power analytics, automation, and product decision‑making across the company. You’ll work closely with product, engineering, and analytics teams to turn fragmented data into clean, reliable, production‑ready systems. Your work will directly shape how the organisation captures value from data. What you’ll own • Python data engineering — build robust, testable, scalable pipelines and services, • Data modelling — design and evolve models that support analytics, reporting, and operational workflows, • Business‑logic translation — convert complex requirements into clean, production‑grade Python, • End‑to‑end workflow ownership — ingestion, transformation, validation, monitoring, optimisation, • Platform reliability — improve observability, performance, and resilience across the stack, • Architecture input — contribute to decisions as the platform modernises and scales, • Engineering standards — drive quality, documentation, and CI/CD excellenceWhat we’re looking for, • Strong Python engineering applied to data workflows, • Solid SQL and experience building production‑grade pipelines, • Cloud data platforms (AWS, GCP, or Azure), • Orchestration tools such as Airflow, Prefect, or Dagster, • Ability to work with stakeholders and simplify complex requirements, • A mindset focused on quality, reliability, and simplicity, • Comfortable owning problems end‑to‑endNice to have, • dbt, Spark, or similar frameworks, • Analytics engineering exposure, • Interest in AI‑driven automation and modern data workflows

Staff Software Engineer (React / TypeScript) London (Hybrid working model) £120k - £160k + 20% bonus + impressive equity options We’re partnering with a high-growth, product-led technology company building a next-generation platform at the intersection of AI, data, and engineering workflows. This is a frontend-heavy Staff Engineer role (80–90%) focused on shaping a complex, data-rich web application used by technical users to run experiments, analyse results, and make critical decisions. If you enjoy building fast, intuitive UIs on top of complex systems, this is the kind of challenge you’ll thrive in. What you’ll be working on • Owning and evolving a core product surface used for designing workflows, analysing data, and interacting with intelligent systems, • Building high-performance React & TypeScript applications with complex views (dashboards, tables, timelines, data visualisations), • Turning large, messy datasets into clear, usable interfaces, • Partnering closely with Product & Design to deliver clean, intuitive UX for technical users, • Collaborating with backend engineers (Python-based services) to shape APIs and improve end-to-end experience, • Driving improvements in performance, scalability, and frontend architecture What we’re looking for • Strong experience building modern frontend applications with React & TypeScript, • Background working on complex, data-heavy products (e.g. dashboards, analytics tools, dev tools, B2B SaaS), • Experience owning significant product areas or systems end-to-end, • Solid full stack understanding (APIs, data flows, system design), • Comfortable working in ambiguous, fast-moving environments where you build from scratch Ideal profile • 7+ years experience (or equivalent impact), ideally working on an AI native product, • Previously operated at Senior / Staff level scope, • Product-minded: cares deeply about UX, performance, and usability, • Enjoys simplifying complex workflows for technical users, • Pragmatic builder. You know when to ship vs. over-engineer Nice to have • Experience with Python-based backends (FastAPI / Flask / Django), • Exposure to data visualisation, time-series, or experiment-style workflows, • Familiarity with design systems / component libraries, • Experience in AI/ML, data platforms, or developer tooling, • Cloud / container environments (Docker, Kubernetes) Why this role? • Own and shape a mission-critical product experience, • Work on genuinely complex, interesting technical problems, • High autonomy and real influence on architecture + product direction, • Strong engineering culture with a focus on quality and velocity If you’re a frontend-leaning engineer who enjoys solving hard UX problems in complex systems, this is a standout opportunity.

IXICO plc (AIM: IXI), is a global leader in neuroscience imaging and biomarker analytics, using its proprietary AI-driven platform to help advance the treatment of neurological disorders and reduce the uncertainties associated with drug discovery, development and monitoring. As a key part of the global neurological disease research community, the Company has built a global reputation and 20-year track record as an end-to-end Imaging Contract Research Organisation (iCRO) working with leading pharma companies, innovative biotech's, disease consortia and non-profit organisations. IXICO has supported hundreds of neurological clinical trials, analysed hundreds of thousands scans and built an expansive network of expert imaging centres around the world. The IXICO Platform is tailor-made for neurological disease, reliably processing data from global trials, precisely measuring key imaging biomarkers associated with the identification, progression and treatment of diseases such as Alzheimer's, Huntington's and Parkinson's. Image data is interrogated by the Platform and IXICO's expert scientists translating complex data into clinically meaningful while minimizing data variability and increasing reproducibility. Our people are empowered to enable us to achieve our company goals and their own personal development through the “4A” values at the heart of our culture: Aspiration, Ability, Agility and Accountability. To help us deliver our medical image analysis solutions to large clinical trials we are hiring a dedicated Imaging Applications Engineer on a permanent full-time capacity. Purpose of the Role: This role is focused on supporting our pharma clients’ clinical trial projects by implementing and deploying production-grade medical imaging data processing and analysis solutions within our proprietary IXICO data management platform. The job holder is experienced in the medical image domain and is responsible for executing the configuration of IXICO platform(s) in accordance with project requirement specifications, and for the design, development, validation and deployment of bespoke image analysis workflow features that are required for an allocated portfolio of projects. The job holder works hand-in-hand with Analysis Product, Image Analyst, Biomarker Science and Technology teams to ensure that requirement specifications are fully and clearly documented, implemented, and tested at project start-up, meeting project start-up timelines agreed with IXICO’s Project Managers. The role further supports Project Managers with defining and implementing features to fulfil workflow change requests arising during a clinical trial project. As part of the Technology team, the role holder is responsible for supporting internal users with data processing and analysis issue resolution and contributes to continuous process improvement. Essential Duties and Responsibilities: The duties and responsibilities listed below are representative, but not exhaustive of the role. There may be some variation and/or development of these duties and responsibilities without changing the general nature of the role: • Responsible for the configuration and deployments of clinical trials on the IXICO platform, including change controls and corrections to existing studies., • Receive handover of processing and analysis pipelines from Science and Technology and manage these to completion in operational deployments., • Design and develop, validate and deploy allocated image processing and analysis features and workflows to the IXICO platform., • Support Project Managers in defining solutions for projects within an allocated portfolio, creating clear and complete requirements specifications., • Provide second line support for processing and analysis pipelines, maintaining ticketing for IXICO platform support., • Work closely with Research, Technology and Development teams on best practices and process improvements., • Participate in Agile Scrum team and promote continuous improvement., • Create and maintain necessary documentation, compliant with IXICO procedures and quality framework. Qualifications and skills required for the role: Essential • Masters/Postgraduate degree from an accredited educational institution in a technical discipline e.g., Computer Science/Compute Vision/Medical Imaging., • Experience in at least one medical imaging modality (e.g. MRI, PET) and relevant image analysis., • Strong academic background., • Proven experience in programming using scripting languages (Bash/Python)., • Proven experience of Linux/Unix command line., • Understanding and working knowledge of Database concepts and technologies (RDBMS/SQL/PostgreSQL)., • Understanding of Object-Orientated development., • Excellent written and spoken communication skills across all levels of the business – fluent in the English language., • Strong organisational skills and great attention for detail., • Ability to prioritise effectively., • Strong team-player, who is acting in a professional and personable manner., • Highly motivated and driven to improve and develop processes. Desirable • Commercial or Academic experience in the neuroscience domain., • Knowledge of GCP, ISO13485, ISO27001 and/or other similar quality systems., • Understanding of Design Patterns., • Understanding of Agile concepts., • Knowledge of Git and DevOps., • Knowledge of Docker and Kubernetes. Benefits • Competitive remuneration package including benchmarked salaries., • Staff Annual Bonus Plans and Annual Salary Review., • Generous employer pension contribution of 6%., • 25 days annual leave, increasing up to 28 days with every year at IXICO., • BUPA private medical insurance scheme., • Life Assurance of 4x annual salary., • Employee Benefits Portal, offering various discounts in retail, food & drink, and entertainment., • Engaging and social environment, with fundraising and sporting activities and seasonal events such as Summer and Christmas parties., • Wellbeing initiatives such as eye tests, flu jabs, and Mental Health Awareness Training., • Employee Assistance Programme offering advice and support on a wide range of topics., • Hybrid working model pattern split between working in the City of London and remotely., • Reimbursement allowance to purchase equipment to support working from home., • Generous employee referral scheme offering £2,000 for referring a successful candidate to the company., • Financial assistance for professional qualifications., • Opportunity to contribute to an industry where your work has an impact every single day. How to Apply IXICO is working hard to create a representative, inclusive and empowered team, because we believe different experiences, perspectives and backgrounds make a better workplace, and ultimately better services. IXICO doesn’t discriminate on the basis of race, colour, religion or belief, gender, national origin, age, sexual orientation, marital status, disability or any other protected class. This is a great opportunity for a dedicated Imaging Applications Engineer to thrive in an engaging and fast-paced environment, to make a difference on an everyday basis. If you think IXICO should meet you, please send us your CV and covering letter by email to or apply directly via LinkedIn. We are looking forward to your application. Please note that our entire business is operating under a Hybrid-Working Model, where UK-based employees are required to attend our London office 2 days a week. If you have got any questions, please reach out to our careers team. Please note that IXICO will process the data provided by you only in order to perform the outlined recruitment exercise. For more details on what data we process and on what legal basis this happens please view our Recruitment Privacy Policy or contact .

Job Purpose The Cybersecurity Engineering Engineer is responsible for creating and maintaining the information security tooling and infrastructure for endpoints or servers on-prem, in the Cloud, or in containers. This individual works as part of a results-oriented, service-delivery team and assists other disciplines within the Information Security team. Additionally, the Cybersecurity Engineering Engineer performs root cause analysis of problems, selects, develops, and implements automation tools, and actively participates in deeply technical discourse. Responsibilities • Assist in the design, planning, and implementation of information security solutions, • Tune and design systems infrastructure for security and enhancements, • Automation of manual tasks using scripting and application development, • Investigate and adopt new security technologies/tools as needs arise, • Evaluate, test, and integrate new security controls, settings and security tools, • Provide technical analysis, resolve problems, and propose solutions, • Provide support to, and coordinate with, developers, operations staff, release engineers, Incident Response, GRC, Red Team, and other disciplines, • Educate and mentor team members and operations staff, • Participate in a weekly on-call rotation for after-hours support Knowledge and Experience • Degree in engineering discipline or equivalent experience required, • 3+ years of relevant Engineering or Information Security experience needed, • Top-tier analytics and problem solving, • Experience and familiarity with cloud and container technologies, • Ability to work in a service-oriented team environment, • Must have good organizational skills and time management skills, • Communicate effectively with both technical and business resources

FLEET PERFORMANCE ENGINEER CLdN is a leading provider of integrated quay-to-quay and door-to-door logistics solutions. Founded in 1929, CLdN ensures reliable, cost-effective transport that links the major economic areas of Europe. With 30 ships and more than 240 sailings a week, CLdN provides shortsea connections between the European continent, the United Kingdom, Ireland, Iberia and Scandinavia and offers the lowest CO2 footprint of all Western European RoRo operators. CLdN’s cargo and multimodal services have a Europe-wide reach using CLdN’s extensive network of ships, terminals and equipment. CLdN’s 3,000 employees ensure that it fulfils its mission: to excel as an integrated provider of maritime links. Are you data minded and wishing to assist us in optimizing our operational efficiency? Then CLdN might be a good fit for you! CLdN offers a challenging job where you can help drive visible, recognizable change as a Fleet Performance Engineer. You will become part of a growing team with a young spirit, who are committed in extracting patterns and insights from data by the application of domain expertise, tools and technology. With a focus on vessel performance and optimization, you will develop and improve software solutions related to the operational efficiency of CLdN’s seagoing vessels. Your software and Maritime insights will accelerate the transformation of our business to become a more energy efficient ship operator, reducing our greenhouse gas emissions. You will be based in our London or Antwerp Office. Summarized you may expect to: • Follow-up the performance of 30+ vessels, based on data. This task will involve writing and using in-house developed software. Analyze/monitor the operational efficiency data and identify improvement potentials., • Monitor data quality aspects for high-frequency sensor data and manual input data., • Create KPI’s to systematically report and track vessel efficiency., • Manage and optimize the fleet’s emissions and ensure compliance with European emission frameworks., • Manage data reporting to external parties such as EU-MRV, IMODCS and FuelEU Maritime reporting., • Co-operate with businesses and internal or external stakeholders, as necessary. You will play a key role in projects such as listed hereunder: • Operational: Based on data stored in real-time at high frequencies, identify and follow-up on inefficiencies across our fleet, create and deploy models to check sensor malfunction, maintain close contact with crew onboard to further improve on fuel efficiency, ensure proper emission reporting to government bodies (e.g. MRV reporting), build performance reports for vessels, etc., • Technical: Determine which vessels to prioritize for hull inspections or cleanings, estimate the efficiency gains when implementing changes such as applying high-quality paint, assist on determining optimal newbuild configurations (e.g. single screw or twin screw, installation of wind turbines on board, etc.). Your profile • M.S.C. and/or PhD degree in computer science, (maritime) engineering, mathematics, or any related field., • Knowledge of software-writing concepts such as object-oriented programming and unit-testing, • Experience with Python, • Experience with SQL is a strong plus, • Affinity with the logistic, aeronautical or maritime sector is a plus, • Interested and willing to analyse business processes and reporting methods and seek for improvements which support the relevant business stakeholders., • Interested and willing to deep dive into the field of ships performance monitoring (hydrodynamics, engine configurations, etc.), • Interested and willing to work in a fast-paced environment, • A good team player, balanced with the autonomy and motivation to produce individually., • Ability to communicate (data) insights and analytics to business stakeholders., • Fluent proficiency in both written and oral English. Our offer • A position with a direct and significant impact on reducing operational costs., • A stimulating working environment with positive and committed co-workers., • Salary package aligned with the candidate’s experience and skill set. Are you interested in learning more about this position or do you want to apply? Do not hesitate to send your CV to with reference “Fleet Performance Engineer”.

Applications Engineer | London | Hybrid I’m currently working with a leading global law firm looking to hire an Applications Engineer into their London team. This role is ideal for someone with strong experience supporting and delivering enterprise business applications within a professional services environment. The position sits at the intersection of technology, operations, and business system, focusing on application support, optimisation, integrations, upgrades, and project delivery across a broad enterprise application landscape. Key areas include: • Enterprise applications support and administration, • Systems implementation, upgrades & migrations, • Application integrations and workflow optimisation, • SDLC, testing, release management & UAT, • Reporting, dashboards & operational analytics, • Vendor management and stakeholder engagement, • Security remediation, compliance & audit support Experience with platforms such as: • NetDocuments, • iManage Work, • Aderant, • Intapp, • ServiceNow, • SharePoint would be highly beneficial. The role will involve partnering closely with business stakeholders across Finance, HR, Marketing, Operations, and IT to improve system reliability, efficiency, and user experience across core business platforms. This would suit someone who enjoys: ✔ Enterprise systems and applications ✔ Business-facing technology roles ✔ Process improvement and optimisation ✔ Cross-functional project delivery ✔ Working across both technical and operational teams Experience within legal or professional services environments would be advantageous. London-based | Hybrid working available. If you’d like more information, feel free to message me directly.

£35,000 to 55,000 GBP Bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Job Title: Full Stack Data Engineer / Consulting Engineer (Forward Deployed) Location: London (City of London - Hybrid) Clearance: Active SC Clearance Required Role Overview We are seeking a Full Stack Data Engineer to join a high-impact consulting environment delivering data, analytics, and AI solutions across complex public and private sector organisations. This role sits within a specialist consulting function focused on embedding engineering capability directly within client environments to solve real-world, high-stakes data challenges. You will work as part of a small, highly technical delivery team, acting as a bridge between engineering, analytics, and business stakeholders. The role requires strong hands-on technical capability combined with the ability to operate in client-facing environments and translate complex requirements into scalable data products and applications. This is a forward-deployed consulting position, requiring adaptability, ownership, and the ability to deliver iteratively in fast-moving, often sensitive environments. What You'll Do • Full-stack data delivery: Build and maintain end-to-end data solutions using Python, SQL, and modern data engineering practices, including ETL pipelines, data modelling, and analytics workflows, • Application development: Support development of user-facing tools and dashboards using modern frameworks such as TypeScript and React where required, • Data platforms: Work across enterprise data platforms (including low/no-code environments such as Palantir Foundry or equivalent) to integrate, transform, and operationalise complex datasets, • Client-facing delivery: Work directly with stakeholders to understand requirements, translate technical outputs into business insight, and support decision-making in real time, • AI & analytics enablement: Support the integration of AI/ML capabilities into live systems and workflows to improve automation, detection, and insight generation, • Iterative delivery: Build and refine solutions based on live client feedback, maintaining an agile, backlog-driven approach to development, • Knowledge sharing: Contribute to internal engineering communities through demos, reviews, and continuous improvement practicesWhat We're Looking For, • Background in consultancy or client-facing data engineering / analytics roles, • Strong hands-on experience with Python, SQL, and exposure to data engineering concepts (ETL, data modelling, pipelines), • Experience with or ability to quickly pick up TypeScript / React / modern front-end tooling, • Exposure to enterprise or regulated environments (public sector, financial services, defence, or similar), • Active Security Clearance (SC) is essential, • Strong communication skills with the ability to translate technical concepts for non-technical stakeholders, • Comfortable working in ambiguous, fast-paced environments with evolving requirements, • A proactive, delivery-focused mindset with strong problem-solving abilityNice to Have, • Exposure to AI/ML workflows or applied data science in production environments, • Experience working within defence, public sector, or financial crime / risk domains

Senior Backend Engineer (Python / Go), London (Hybrid), £100,000 - £120,000 + Bonus • Job Title: Senior Backend Engineer, • Salary Range: £100,000–£120,000 + Bonus & Benefits, • Location: London | Hybrid Working (2–3 days in office) Our client is expanding a newly created strategic technology function focused on building next-generation data intelligence products for global customers. This is a rare opportunity to join a greenfield engineering environment where innovation, autonomy, and modern engineering practices are encouraged from day one. Backed by the stability and investment of a major international analytics organisation, the team is operating with a start-up mindset to rapidly deliver scalable, data-driven products that solve complex commercial challenges for some of the world’s largest banking organisations. The Senior Backend Engineer will play a critical role in designing and building a brand-new API-first data intelligence platform used by enterprise clients. You will help shape the engineering standards, backend architecture, infrastructure, and delivery principles that underpin a high-growth product built for scale, security, and performance. The Senior Backend Engineer will: • Design scalable backend systems (in Python or Golang) and API architecture for enterprise-grade products, • Build cloud-native infrastructure across AWS, Kubernetes, and CI/CD environments, • Create secure, observable, and auditable systems for regulated financial clients, • Collaborate closely with product, frontend, and data engineering teams in a small high-impact squad, • Influence technical direction and establish engineering best practices from the ground up You Will Need The role requires: • Strong backend engineering experience within API-first or data-heavy B2B platforms, • Expertise with Python or Go alongside modern cloud infrastructure tooling, • Experience with AWS, Docker, Kubernetes, and automated deployment pipelines, • A strong understanding of observability, scalability, and system reliability principles, • Hands-on experience using AI-assisted engineering tools within development workflows Why You’ll Love It • Hybrid working with flexibility around office collaboration, • Private medical cover for you and your family, • Generous pension contributions and annual development allowance, • A low-politics engineering culture focused on quality delivery, • The opportunity to shape a greenfield platform with significant long-term impact This opportunity would suit an engineer who enjoys solving complex backend challenges, building systems with longevity in mind, and working in an environment where speed, experimentation, and technical ownership are genuinely valued. You’ll have the chance to influence both the technical roadmap and the engineering culture while working alongside highly experienced product and data specialists.

Head of Data Southwest London - on site (5days) up to £90k + Bens TRIA are exclusively supporting a fast growing sport & hospitality group, comprising professional football, community programmes & premium hospitality as they hire their first Head of Data. The group is experiencing significant growth and investing in its technology, data and guest experience. In this role, you will lead the build of a modern data capability from the ground up. If you enjoy making decisions, introducing tooling, setting engineering standards, and rolling up your sleeves, this opportunity could be for you. As the organisation’s first Head of Data, you will: • Build a new data environment, from tooling, governance, and engineering practices, • Introduce modern data engineering tooling, pipelines, and modelling, • Deliver hands‑on engineering work (75% of the role), • Establish data security and governance frameworks, • Line manage a small team, • Manage relationships with 3rd‑party vendors and technical partners, • Champion data adoption and literacy across the business You’ll report directly into the Technology Director and work closely with senior stakeholders to define priorities and deliver high‑value outcomes. This is a blank canvas role - ideal for someone who loves building, shaping, and taking ownership. What You’ll Be Working On • Designing and owning a centralised business data lake/warehouse, • Introducing best‑practice ETL/ELT pipelines across multiple operational systems, • Implementing data security, auditing, and GDPR compliance, • Driving data availability for reporting, analytics, and operational decision‑making, • Creating scalable, reliable, well‑structured data models, • Supporting self‑service analytics across the business You’ll also be the person who finally brings clarity, structure, and trust to business data that is currently fragmented and under‑utilised. We are looking for someone who is: • A strong, confident character who can influence, challenge, and make decisions, • Technically excellent - particularly in data engineering and platform building, • Experienced defining or rebuilding data environments in SME or scale‑up settings, • Comfortable introducing new tooling, tech, and ways of working, • Hands‑on and pragmatic - this is not a purely strategic role, • Experienced leading or line managing at least one engineer/analyst This role requires you to be on site 5 days a week. If you can not commit to this, please do not apply. If your experience matches and you would like to be considered, then please apply with an up to date CV. Unfortunately, sponsorship cannot be offered for this role.

Job Title - Head of Data & AI Platforms & Engineer Location - UK (London) Duration - C2H Role Purpose: The Head of Data & AI Platforms & Engineering is accountable for the strategy, delivery, and day-to-day operation of the organisation’s data and AI platforms. The role ensures that data platforms are secure, reliable, scalable, and fit for both business intelligence and advanced analytics and AI use cases. This role owns both change (transformation and enhancement) and run (BAU operations) across data platforms, leading internal and vendor teams to deliver high-quality data services. Key Responsibilities Strategy & Roadmap • Own the roadmap for data and AI platform transformation, including data hub, analytics and consumption platforms., • Introduce new platform capabilities and integrate strategic data sources in line with enterprise priorities., • Define and own data platform architecture, design patterns, and engineering standards. Platform Engineering & Architecture • Lead the implementation of data architecture and data engineering frameworks across ingestion, data layers, semantic layers, and consumption., • Own policies and standards for data platforms, including Databricks, integration, data management, and access controls., • Ensure platforms are designed for performance, scalability, reliability, and security. Data Governance, Quality & Compliance • Implement frameworks for data quality, lineage, observability, and metadata management., • Ensure compliance with security, privacy, and regulatory requirements across all data platforms., • Oversee remediation of data quality issues within BAU operations. Change & Delivery • Accountable for delivery of data platform change initiatives aligned with enterprise prioritisation and release management processes., • Manage delivery of new components, pipelines, and platform enhancements., • Lead and coordinate change delivery teams, including third-party vendors. Run / Business-as-Usual Operations • Own the BAU operation of data and consumption platforms, ensuring availability and performance., • Define, maintain, and report against SLAs and OLAs., • Oversee operational monitoring, incident management, defect resolution, and performance optimisation., • Ensure smooth user onboarding and ongoing platform support. Leadership & Team Management • Build and lead high-performing data engineering, platform, and data management teams., • Establish in-house BAU capability across engineering, data quality, and platform operations., • Manage vendor partners to ensure effective delivery and value for money. Key Skills & Experience • Senior leadership experience in data platform and data engineering roles., • Strong knowledge of modern data platforms, analytics, and AI enablement architectures., • Proven experience delivering large-scale data platform change and running enterprise data platforms., • Strong understanding of data governance, data quality, security, and compliance., • Experience managing multi-disciplinary teams and third-party suppliers. Outcomes of the Role • Reliable, secure, and high-performing data and AI platforms., • Clear standards and governance across data engineering and platform services., • Effective balance between transformation delivery and stable BAU operations., • Data platforms that enable analytics, AI, and business decision-making at scale. Thanks And Regards, Kiran Agrawal

£Up to 125,000 GBP Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent AWS Solution Architect (Senior Manager) Location: London (Hybrid) Level: Senior Manager Security Clearance Requirement: Please note that any offer of employment will be subject to successful BPSS and SC clearance. Applicants must have 5 years' continuous UK address history at the point of application. The Opportunity A leading global professional services organisation is seeking an experienced AWS Solution Architect (Senior Manager) to join its high-performing cloud practice. This is an opportunity to work at the forefront of cloud transformation, partnering with tier-one clients across industries to design and deliver innovative, scalable, and secure AWS solutions. You'll play a pivotal role in shaping enterprise cloud strategies while leading complex transformation programmes. If you thrive in a fast-paced, collaborative environment and want to work with cutting-edge cloud technologies, this role offers exceptional career growth and exposure to large-scale, impactful projects. The Role As a Senior Manager, you will operate at the intersection of technology leadership, architecture, and client engagement, taking ownership of end-to-end cloud transformation initiatives. Key Responsibilities: • Define cloud strategy, governance frameworks, and AWS architecture standards, • Translate complex business requirements into secure, scalable cloud solutions, • Lead large-scale transformation programmes (e.g. data centre exit, legacy modernisation), • Drive innovation across data, AI, security, and multi-cloud environments, • Ensure adherence to security, compliance, and regulatory standards, • Engage and influence senior stakeholders and executive-level audiences, • Mentor and develop consultants and managers, building internal capability, • Act as a cloud evangelist, promoting best practices and business valueWhat You'll Be Doing, • Designing and delivering cloud-native and migration solutions on AWS, • Helping clients move from strategy through to implementation and optimisation, • Working with modern architectures including:, • Serverless, • Microservices, • Containerised workloads, • Supporting continuous improvement through DevOps, CI/CD, and automation practicesAbout You You are a seasoned cloud professional with strong leadership capability and deep AWS expertise. Essential Experience • Proven hands-on experience designing and implementing AWS-based solutions, • Strong background in enterprise architecture and cloud transformation, • Experience aligning technical solutions with business strategyCertifications & Education, • AWS Certification (Associate or Professional - e.g. Solutions Architect, DevOps Engineer), • Degree in Computer Science, Engineering, or related disciplineTechnical Expertise Architecture & Design • Translating business needs into scalable cloud architectures, • Cost optimisation and cloud best practicesData & AI, • Experience with data platforms, analytics, and AI/ML solutions, • Understanding of data lifecycle managementApplication Architecture, • Modern cloud patterns (serverless, containers, microservices), • CI/CD and DevOps methodologiesSecurity, • Identity & access management, encryption, and compliance frameworks, • Implementing secure-by-design cloud environmentsIntegration, • API design and event-driven architectures, • Hybrid and multi-cloud connectivityNon-Functional Design, • High availability, resilience, and scalability, • Disaster recovery and observabilityGovernance & Compliance, • Cloud governance frameworks and cost control, • Auditing and compliance enforcementDesirable Skills, • AWS Specialty certifications (e.g. Security, Machine Learning, Advanced Networking), • Exposure to other cloud platforms (e.g. Azure, Google Cloud)What's on Offer, • Competitive base salary + comprehensive benefits package, • 30 days annual leave, • Private medical insurance, • Additional paid leave for charitable work, • Access to industry-leading training and certifications, • Opportunity to work on high-impact, global projectsWorking Model This role offers a flexible working approach; however, travel to client sites will be required to deliver best-in-class services.

Senior Cloud Engineer / Azure / Cloud / DevOps / Permanent / Hybrid / London Overview We are looking for an experienced Senior Azure Cloud Engineer to design, implement and optimise cloud solutions within Microsoft Azure. You will play a key role in driving cloud adoption, improving platform reliability and ensuring secure, scalable infrastructure across the organisation. Key Responsibilities • Design, build, and manage cloud infrastructure using Microsoft Azure services, • Lead architectural decisions across Azure environments with a focus on scalability, resilience, and cost efficiency, • Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions, • Ensure high availability and disaster recovery through well-architected solutions, • Implement security best practices using Azure-native tools (e.g. Azure Security Center, Key Vault, RBAC), • Monitor and troubleshoot systems using tools such as Azure Monitor, Log Analytics, and Application Insights, • Collaborate with development and DevOps teams to deliver cloud-native applications, • Mentor junior engineers and contribute to best practices and standards Required Skills & Experience • Proven experience in a Senior Cloud / Azure Engineering role, • Strong hands-on expertise with Microsoft Azure, • Experience with Infrastructure as Code (Terraform, Bicep, or ARM templates), • Experience with containerisation and orchestration (Docker, Kubernetes / AKS), • Strong scripting skills (PowerShell, Bash, or Python), • Experience building CI/CD pipelines using Azure DevOps or similar tools, • Knowledge of cloud security principles and Azure identity management (Azure AD / Entra ID)

Role: Data Engineer – GCP & ETL (Banking Domain) Location: Canary Wharf, London, UK Employment Type: Permanent-Full time Mode of working: Hybrid (2 days/week onsite) Role Overview We are looking for a hands-on Data Engineer with strong experience in Data Engineering, ETL development, and the Google Cloud Platform (GCP), preferably within the banking or financial services domain. The ideal candidate should have practical experience in building and maintaining scalable data pipelines, working with large datasets, and supporting cloud-based data integration and transformation initiatives in enterprise environments. This is a pure engineering role and not suited for Architect or managerial profiles. Key Responsibilities • Design, develop, and maintain scalable ETL and data pipelines on GCP., • Work with structured and unstructured datasets from multiple source systems., • Develop and optimize cloud-based data processing solutions., • Perform data ingestion, transformation, validation, and cleansing activities., • Collaborate with business, analytics, and technology teams to support data initiatives., • Ensure data quality, security, governance, and compliance standards are maintained., • Troubleshoot and resolve production issues related to data pipelines and integrations., • Support batch and real-time data processing requirements. Required Skills • Strong understanding of Data Engineering concepts and ETL methodologies., • Hands-on experience with GCP-based data engineering solutions and services., • Strong SQL and data manipulation skills., • Experience with Python, Java, or Scala., • Experience in building and maintaining scalable data pipelines., • Good understanding of data warehousing and distributed data processing concepts., • Familiarity with cloud-based data architectures and processing frameworks., • Experience working in Agile delivery environments. Preferred Skills • Experience within Banking or Financial Services domain., • Exposure to real-time or streaming data processing., • Understanding of data governance and regulatory compliance requirements., • Familiarity with CI/CD and version control tools

Our client is looking for Junior and Middle level Data Engineer to join the teams. 1 day in office every 3 months. Permanent, salary is £45k- £65k depending on experience Job Details: • Develop, document and maintain robust processes that transform and clean data for input into a variety of live systems and analytical workflows, • Liaise with colleagues across the business to elaborate requirements for new data products and translate these into technical plans, • Maintain process quality and robustness through coding best practice, including version control, documentation and peer review, • Investigate and elaborate data issues to help drive continuous improvement in data quality, • Migrate Legacy processes to new data platforms, • Minimum 2:1 in a relevant technical degree., • A good understanding of database architecture and querying using SQL., • A sound understanding of data transformation and cleaning., • Programming experience using any language such as Python., • Understanding of Microsoft Azure, Power BI and Snowflake only need skills in SQL, Cognos and a data visualization tools like Tableau, Power BI or Qlik, • 2- 4 years experience, good communication to work across functional team

Analytics Engineer Hybrid London £66,000 plus bonus and benefits, no sponsorship I'm looking for an Analytics Engineer to help shape and scale a modern data platform across an international business. You will work with large, complex datasets, building reliable data models and transformation layers that enable self service analytics and high quality reporting. In this role, you will design and optimise data workflows across Databricks and BigQuery, develop scalable datasets, and support BI tools such as Tableau and Looker Studio. You will collaborate closely with data engineering, analysts, and business stakeholders to improve data access, performance, and consistency across regions. You'll need to have strong SQL skills, experience in cloud data platforms, and a solid background in analytics engineering or data modelling. You should be comfortable working across the full data lifecycle and passionate about enabling teams to get value from data. This is a great opportunity to join a collaborative, international team working with modern tools, offering £66,000 plus bonus, strong benefits, and hybrid working in London.

Analytics Engineer London £65,000 to £70,000 This is a high impact Analytics Engineer role where you will help rebuild and shape a central data capability at a pivotal point. You will join a lean core team with strong executive backing, giving you real ownership over data models, transformation logic and analytics foundations that support multiple product areas across the business. The Company They are a well established, consumer focused digital business operating at scale, with a strong emphasis on data driven decision making. Data plays a central role in how products are built, measured and improved, and the organisation is continuing to invest in its modern data platform. With a collaborative culture and clear appetite to improve analytics maturity, this is an environment where hands on engineers can make a visible difference. The Role • Act as a core member of the central analytics function supporting multiple product verticals, • Design, build and maintain robust data models for analytics and reporting, • Develop transformations using dbt on a Snowflake data platform, • Work closely with data infrastructure, product and analytics stakeholders to deliver scalable data solutions, • Contribute to rebuilding core analytics capability following a period of underinvestment, • Take a practical, delivery focused approach with limited reliance on heavy stakeholder management Your Skills and Experience • Strong commercial experience using SQL for analytics and data transformation, • Proven capability in dimensional data modelling, with Kimball style approaches preferred, • Hands on experience with dbt for transformation and modelling, • Experience working with cloud data warehouses, ideally Snowflake, • Comfortable using Python or similar languages for data tasks and logical problem solving, • Able to work autonomously in a small team and take ownership of end to end analytics solutions

This is an energy trading and infrastructure asset investment firm, powered by deep fundamental research and advanced analytics. Now looking for experienced engineers in any programming language to join the Data Science & Technology team in London. This team is pivotal in giving the firm a competitive edge, and this role offers the opportunity to build solutions that have a direct commercial impact from day one. Solving complex, high-impact challenges using a modern technology stack, everything is developed in cloud-native infrastructure from real-time analytics to backtesting engines, to third party integrations and internal libraries. A few examples of what you'll do: • Partner directly with traders & analysts to engineer and optimize trading processes and strategies., • Build and maintain scalable, high-performance Python services and APIs, • Design and implement cloud-native tools that integrate seamlessly into the Front Office platform Requirements • Strong professional experience in any programming language (Python highly beneficial), • Proficiency in SQL and relational database technologies, • Familiarity with DevOps practices, • Exposure to AWS & Snowflake technologies, • Experience building or working on back testing engines and systematic trading, • Competitive base salaries + bonuses, • Generous benefits program, including, • parental and family leave policies, • comprehensive insurance (medical, dental, retirement, life), • charity volunteering allowance + charitable contribution match program, • tuition assistance & reimbursement + continued learning opportunities Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful. Contact If you feel you are suitable for this role, drop me an email or give me a call: Jack Peck [e] [t] +44 20 3745 6537 linkedin.com/in/jack-peck-448a70131

This is an energy trading and infrastructure asset investment firm, powered by deep fundamental research and advanced analytics. Now seeking a skilled senior data engineer to support the Intraday Short-Term Power business within the Data Science & Technology team in London. This team is pivotal in giving the firm a competitive edge, and this high-impact role focuses on engineering the availability, quality and performance of real-time data feeds that drive execution strategies, analytics and decision-making. You'll integrate & manage feeds from multiple sources, including fundamental market data, grid operations, weather providers and internal trading systems. This is an exciting opportunity to work within a fast-paced, data-driven trading environment, making a direct impact on systematic trading and risk management efforts. Requirements • 5 -10 years as a data engineer, ideally in Intraday Short-Term Power trading (or similar real-time energy market environments), • Experience with energy commodity time-series datasets is a must-have, • Understanding of systematic trading workflows (signal generation, back-testing, model validation), • Demonstrable ability to work in a high-frequency, intraday trading environment with tight feedback loops, • ETL/ELT frameworks experience writing pipelines to load millions/billions of records, • Advanced skills in writing highly optimized SQL code & relational databases, • Exposure to AWS & Snowflake technologies, • Competitive base salaries + bonuses, • Generous benefits program, including, • parental and family leave policies, • comprehensive insurance (medical, dental, retirement, life), • charity volunteering allowance + charitable contribution match program, • tuition assistance & reimbursement + continued learning opportunities Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful. Contact If you feel you are suitable for this role, drop me an email or give me a call: Jack Peck [e] [t] +44 20 3745 6537 linkedin.com/in/jack-peck-448a70131

Summary Industry-leading investment firm using innovative and cutting-edge technology, with data at the core of the investment process. They've developed an advanced technology platform to quickly understand patterns within a market or product and conduct scenario analysis that help maintain competitive advantage. Now looking for a top-level software engineer - well-versed in Python - to join their Commodities team. In this hands-on role, you'll collaborate with trading, research and data teams to understand business challenges and design technical/quantitative solutions. This will involve working with large datasets, building data analytics trading tools and improving model frameworks and performance. The successful candidate will have fantastic technology skills, ideally in multiple programming languages. Requirements • Minimum 3 - 7 years of software engineering experience, • Fluent in Python (or comparable language), • Minimum BS degree in Computer Science/Engineering; or equivalent experience, • Experience with complex, multi-site systems architectures, • Strong proficiency with Unix operating systems, • Significant salary + bonus + benefits package, • Work with the latest technologies on complex problems, • Positive, friendly culture Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful. Contact If you feel you are a strong match for this role, please do not hesitate to get in touch: Dominic Copsey +44 (0) 203 475 7193 linkedin.com/in/dom-copsey-586478143/

Salary: up to £200k + bonus Summary Leading global quant firm is looking for a pragmatic data engineer with experience of ETL/ELT pipelines to join the Vendor Data Group. Despite serving as the hub for managing the substantial operations across the UK, Europe and the Middle East, the London office retains a lively, positive environment of a start-up with the stability of a longer-established player. You will be joining a very dynamic environment offering exposure to all aspects of the firm, as you collaborate with one of the trading teams to build and maintain mission-critical data integration pipelines and associated tools for alternative commodity and macro data. You'll develop scalable data architectures and enhance data processing while optimizing workflows. Here, technology is viewed as crucial to their continued success. The successful Senior Data Engineer will be passionate about data accuracy, and able to solve difficult technical problems in a real-time environment. Requirements • At least 3+ years' experience as a Data Engineer, • Proficient in Python development, Devops, and Linux environments, • Expert-level experience in data pipeline development, specifically ETL/ELT pipelines, • Commodities and Macro alternative/fundamental data experience Benefits • Competitive base salary & bonus, • Enormous opportunity to grow, learn and have a significant business impact, • Contributions are rewarded; career progression supported, • Substantial benefits package, including private medical, paid parental leave, group life assurance & parking/cycle schemes Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful. Contact If this sounds like you, or you'd like to know more, please get in touch: Andy Stirling-Martin 020 3137 9579 linkedin.com/in/andrew-stirling-martin-7664a946

£150k GBP Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Platform Software Engineer (Python) - Core Engineering Location: London Location: London (Hybrid) Client: Tier-1 Global Banking Environment Domain: Platform Engineering / Core Systems Industry background: Open (finance not required) The Opportunity We are hiring a Platform Software Engineer to join a core engineering group building foundational platforms used by quant, trading, and analytics teams inside a major global banking environment. This is not an application development role. The team builds the underlying platforms, frameworks, tooling and runtime capabilities that other engineering and quant teams build on top of. You will be working on the technical foundation layer, not business features. Candidates from any industry (big tech, telecoms, SaaS, gaming, infrastructure, etc.) are welcome - deep platform development experience is the key requirement, not finance knowledge. What You'll Be Doing: You will contribute to the design and development of internal engineering platforms, including: • Building core Python-based platforms, frameworks, and shared services, • Designing developer platforms used by multiple engineering and quant teams, • Developing APIs, SDKs, tooling and service frameworks that enable large-scale system development, • Improving scalability, reliability, and performance of shared platform components, • Working on distributed systems and service architecture foundations, • Enhancing CI/CD, deployment tooling, and engineering productivity platforms, • Contributing to standards, patterns, and reusable infrastructure used across the organisation, • Partnering with quant and engineering teams to ensure platform capabilities support advanced workloadsRequired Experience (Must-Have):, • Strong professional experience in Python as a primary engineering language, • Background in platform engineering / core systems development, • Proven experience building internal platforms, frameworks, or shared engineering infrastructure, • Experience designing systems that are used by other developers, • Strong understanding of:, • Distributed systems, • Service-oriented / microservice architectures, • APIs and SDK design, • System performance and scalability, • Experience working on large-scale, multi-team engineering environmentsTo hear more details please apply to this position or contact Ben Mortimore at Anson McCade. Job Reference: AMC/BMO/QD02

Job Title: Data Engineer (Mid-Level) Location: London (Hybrid 1 Day PW) Salary: £70,000 About the Role We’re looking for a Data Engineer to help build and scale our data platform. You’ll design pipelines, support analytics and ML use cases, and ensure data is reliable and production-ready. What You’ll Do • Build and maintain scalable ETL/ELT data pipelines, • Work with stakeholders to deliver clean, usable datasets, • Optimise data systems for performance and reliability, • Implement data quality checks and monitoring, • Support and develop our GCP data infrastructure What We’re Looking For • 2–5 years’ experience in Data Engineering, • Strong Python and SQL skills, • Hands-on experience with Google Cloud Platform (GCP), • Experience with data warehousing and pipeline tools, • Strong problem-solving and collaboration skills If this is of interest please apply and I will call to discuss.

Lead Data Engineer (Contract) Location: London (2 days onsite per week) Day Rate: £550 Per day (Outside IR35) Duration: min. 6-month contract Start: ASAP Contact: Overview We are looking for a Lead Data Engineer to join a high-performing team delivering advanced data platforms that support financial institutions in tackling fraud and financial crime. In this role, you will help design and evolve a modern Databricks + lakehouse architecture, enabling analytics, machine learning, and investigative teams to generate actionable insights from large-scale datasets. This is a hands-on leadership position focused on building robust, scalable, and governed data solutions using modern cloud technologies. The Role • Own the end-to-end design, build, optimisation, and support of scalable Spark / PySpark data pipelines (batch and streaming), • Define and implement lakehouse architecture standards (medallion model: bronze, silver, gold), including governance, lineage, and data quality controls, • Design and manage secure data ingestion frameworks (e.g. Apache NiFi, APIs, SFTP/FTPS) for internal and external data sources, • Architect and maintain secure AWS-based data infrastructure (S3, IAM, KMS, Glue, Lake Formation, Lambda, Step Functions, CloudWatch, etc.), • Implement orchestration using tools such as Airflow, Databricks Workflows, and Step Functions, • Champion data quality, observability, and reliability (SLAs, monitoring, alerting, reconciliation), • Drive CI/CD best practices for data platforms (infrastructure as code, automated testing, versioning, environment promotion), • Mentor engineers on distributed data processing, performance optimisation, and cost efficiency, • Collaborate with data science, product, and compliance teams to translate requirements into scalable data solutions Required Skills & Experience • Strong experience as a Senior or Lead Data Engineer with ownership of end-to-end data solutions, • Expertise in Databricks, PySpark / Spark, SQL, and Python, • Proven experience building and optimising large-scale data pipelines in production environments, • Strong knowledge of cloud data architectures, particularly within AWS, • Experience designing scalable data models and reusable frameworks, • Hands-on experience with orchestration tools such as Airflow or similar, • Solid understanding of data governance, lineage, and compliance requirements, • Experience with CI/CD pipelines and infrastructure as code (e.g. Terraform, CloudFormation), • Strong communication skills with the ability to collaborate across technical and non-technical teams What We’re Looking For • A hands-on technical leader who can design, build, and deliver solutions independently, • Someone comfortable working with high-volume, high-throughput data systems, • Strong problem-solving skills and a pragmatic, delivery-focused mindset, • Experience mentoring engineers and setting engineering standards and best practices, • Ability to balance technical excellence with delivery timelines

🚨 Senior Data Engineer | London | Investment Management 🚨 OB are supporting a leading investment firm in London as they continue to expand their R&D and Data capability with the hire of a Senior Data Engineer. This position sits at the heart of the business, focused on building and scaling a high-performance data platform that underpins critical analytics and research initiatives across the firm. The role will involve: • Leading development of the firm’s core data infrastructure, • Driving architectural decisions and engineering standards, • Improving scalability, reliability, and performance of existing systems, • Partnering closely with senior leadership and research teams, • Evaluating and implementing modern data tooling and best practices Tech stack / experience required: ✔ Strong Python and SQL engineering experience ✔ Snowflake ✔ DBT ✔ Airflow ✔ 5+ years in Data Engineering ✔ Strong academic background in STEM / Computer Science Package: 💰 Up to £100k base salary + strong guaranteed bonus 📍 Central London (5 days onsite) 🇬🇧 Candidates must already be UK-based ✈ Visa sponsorship available for exceptional profiles If you’re interested in working in a highly technical, research-driven environment with genuine ownership and impact, apply below. Senior Data Engineer | London | Start-up | Up to £100k

My client, an award-winning multi-strategy hedge fund, is looking to hire a desk-aligned engineer for their Commodities business. This team seeks to generate alpha through directional and relative value strategies across both physical and financial commodities markets. They evaluate opportunities in natural gas, power, crude, and refined products, and agriculture, primarily in North America and Europe. Using fundamental research, proprietary analytical methodologies, and quantitative analysis to drive their views, they join these techniques with an intense focus on understanding each market they trade, reflected in the ability to generate supply and demand balances for each commodity or product. A key part of this process is their advanced technology platform, allowing a quick and deep understanding of patterns within a market or product, the ability to conduct scenario analysis and to improve the overall accuracy of their views. Your Opportunity: • Partner with trading, research and data teams to develop core analytics and deliver key initiatives for a commodities trading business, • Understand business challenges and drive technical/quantitative solutions, • Work with large data sets and build data analytics trading tools, • Integrate data and insights into models and investment processes, • Structure scalable, maintainable solutions, improving model frameworks and performance, • Outstanding academic record. BS, MS or PhD in Computer Science/Physics; or equivalent experience, • Excellent technology skills. Fluent in Python or comparable language. Experience using multiple programming languages is desirable, • Experience with complex, multi-site, systems architectures, strong unix operating system knowledge and exposure to a variety of database technologies, • Exposure to commodity markets would be an advantage, • Highly motivated to work in a hands-on collaborative environment, • Commitment to excellence and strong attention to detail Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful. Contact If this sounds like you, or you'd like more information, please get in touch: George Hutchinson-Binks (+44) 07885 545220 linkedin.com/in/george-hutchinson-binks-a62a69252

Senior Data Analyst London Area, Hybrid We are looking for an experienced Senior Data Analyst to join our team. This is a high-impact role filling the shoes of a senior team member, requiring someone who can operate autonomously, drive technical standards, and manage high-level stakeholder relationships from day one. As a UK B Corp Certified salary sacrifice specialist, The Electric Car Scheme is on a mission to make net zero the obvious choice by making electric cars and other Net Zero Benefits easy, affordable and simple for employers to offer their people. Built on best in market pricing, complete employer protection and trusted 5 star service, we are accelerating the UK towards a net zero future while creating win win win outcomes for our customers, our team and the planet. Rated 4.9 on Glassdoor and certified by Welcome to the Jungle, there has never been a more exciting time to join a fast growing, purpose driven business transforming sustainable employee benefits. Key Responsibilities: • Partner with senior stakeholders to identify high-level business problems, formulate hypotheses, and conduct deep-dive analyses to drive strategy., • Take full ownership of analytical projects from requirements gathering to final presentation, ensuring alignment with business goals., • Build and maintain reliable data models using dbt and SQL to ensure reporting is accurate, consistent, and easy to update., • Design, build, and maintain high-impact Tableau dashboards that serve as the single source of truth across the business., • Act as a strategic partner to cross-functional teams; effectively manage expectations, prioritise work based on business value, and translate technical findings into commercial language., • Champion data accuracy and consistency; implement best practices for data validation and documentation. About you: • 4+ years experience as a Data Analyst or Analytics Engineer., • Advanced proficiency in SQL (Window functions, CTEs, query optimization) for complex data extraction and manipulation., • Experienced in building, testing, and documenting data models using dbt., • Advanced proficiency in Tableau; able to design complex, performant, and intuitive dashboards (LOD expressions, advanced actions)., • Experience with Version Control (Git) for managing model changes and collaboration., • You can take a vague business question and independently drive it to a structured solution., • Exceptional communication skills; confident in challenging stakeholders, influencing decision-making, and presenting to senior leadership., • Able to adapt quickly to new environments and deliver value immediately with minimal supervision. Benefits: • Hybrid working: Split your week between home and the office, with set in-office days on Mondays and Wednesdays, • 25 days holiday plus bank holidays, • Add 1 day holiday per year service + buy / sell up to 5 days each year, • Flexible work policy with options to take into account family care, • Enhanced parental leave, • Use our own scheme to lease a vehicle through salary sacrifice and save 40-70% to drive a brand new electric car, • £500 pa. personal development budget, • £100 home office budget, • Bupa healthcare, • Equity options - own a part of the business

AI Forward Deployed Engineer Leading Buy Side Client | London | Hybrid | Competitive Daily Rate The Opportunity Join a leading Buy Side Client building production AI systems that transform how investment professionals work. This isn't an R&D role—you'll ship LLM-powered applications that investment and finance teams depend on daily, while simultaneously building the governed AI platform that underpins the entire organisation. 50% embedding with business teams | 50% platform engineering What You'll Build Embedded AI Applications: • Ship high-value LLM applications directly with Investment and Finance teams, • Turn ambiguous business problems into production-grade AI solutions, • Deploy agentic workflows using Claude and ChatGPT APIs, • Build and extend governed AI platform: LLM gateway, model control layer, privacy proxy, • Develop MCP connectors for Salesforce, M365, deal flow systems, analytics platforms, and third-party data providers, • Implement logging, audit trails, observability, and evals tooling, • Design agentic workflows spanning multiple systems with proper tracing, scoring, and regression checks, • Ensure compliance with regulatory requirements (FCA, DORA) Essential Skills: Production AI Engineering: • Deep practical fluency with Claude and ChatGPT APIs, tool use, structured outputs, and prompting techniques, • Track record shipping LLM-powered applications that users depend on, • Experience with LLM gateways, privacy proxies, agent observability, or evals frameworks (even at hobby/prototype level) Software Engineering: • Strong Python and TypeScript for production systems, • Modern Azure infrastructure and services, • Integration patterns: REST APIs, MCP, webhooks, SSO/Entra ID, • Production code experience in regulated or enterprise environments Business & Communication: • Excellent communicator who can sit with investment professionals and turn conversations into code, • Ability to work with ambiguous business problems and ship concrete solutions, • Experience pairing with non-technical stakeholders

New Permanent Opportunity for an eDV Cleared Data Engineer with AWS Cloud Experience for a leading National Security Consultancy in London. • Up to £85,000 DoE plus bonuses, • Active eDV required, • London Location – full-time on-site when required, • Expertise required in AWS, Data Pipelines, ETL, Data Storage, and DevOps methodologies Role Overview: This role sits within our client’s rapidly growing Cloud Data Platforms team, part of the Insights and Data Global Practice. You will join a multidisciplinary group of data and platform specialists who deliver modern cloud-based transformation for clients across a range of sectors. In this role, you will design and build data pipelines, develop ETL/ELT processes, and create innovative data solutions using the latest cloud technologies and frameworks across AWS. Some responsibilities include: • Build data pipelines to ingest, process and transform data for analytics and reporting., • Develop ETL/ELT workflows to move data efficiently into data warehouses, data lakes and lake houses using open-source and AWS tooling., • Apply DevOps practices, including CI/CD, infrastructure as code and automation, to improve and streamline data engineering processes., • Design effective data solutions that meet complex business needs and support informed decision-making. Experience Required: • Strong AWS expertise, including tools such as Glue, Lambda, Kinesis, EMR, Athena, DynamoDB, CloudWatch, SNS and Step Functions., • Skilled in modern programming, particularly Python, Java, Scala and PySpark., • Solid knowledge of data storage and big data technologies, including data warehouses, databases, Redshift, RDS and Hadoop., • Experience building and managing AWS data lakes on S3 for both structured and unstructured data. What happens next? To apply, please either click online or email directly to . For further information, please call 07719065951 or 0161 4166800. By applying for this role, you give express consent for us to process and submit your application to our client in conjunction with this vacancy only. You may also connect with the hiring manager on LinkedIn by searching for their name. They look forward to hearing from you.

We are looking for Cyber Security Engineer - Endpoint at London, UK – 2 days per week Onsite Role Description: Overview The Intune Endpoint Privilege Management Specialist is responsible for designing, implementing, and administering Microsoft Intune’s EPM capabilities to enforce least privilege principles across the organisation. This specialist ensures users have secure, controlled, and auditable access to elevated privileges via Just In Time (JIT) elevation, while reducing security risks associated with local admin rights. Key Responsibilities Endpoint Privilege Management (EPM) Architecture & Administration • Lead the design, deployment, and optimization of Microsoft Intune Endpoint Privilege Management., • Define and implement elevation rule policies, including approval workflows and automation., • Configure and maintain Just Enough Access (JEA) and Just In Time (JIT) elevation scenarios., • Analyse and classify apps requiring elevation and build appropriate Elevation Rules. Least Privilege Enforcement & Security Hardening • Remove and prevent permanent local admin rights on all Windows devices., • Build processes and automation to support secure elevation without impacting productivity., • Integrate EPM with broader Zero Trust and Microsoft Defender security models., • Conduct security assessments and hardening activities for endpoint privilege controls. Device & App Lifecycle Governance • Manage EPM policies across Windows 10/11 devices enrolled into Intune., • Maintain and optimise EPM for core business applications that require privileges., • Ensure consistent policy enforcement across hybrid-joined, Azure AD joined, and co managed devices. 4. Monitoring, Logging & Reporting • Build dashboards and reporting workflows for:, • Elevation rule usage, • Approved/denied elevation requests, • Risk analysis and anomalous behaviour, • Leverage Log Analytics, Microsoft Defender, and Graph API to automate insights., • Provide regular reporting to security governance forums. 5. Enterprise Collaboration & Support • Partner with Security, Identity, Desktop, and Application teams to operationalise least privilege., • Act as SME for escalations related to software requiring elevation or blocked by policy., • Document processes, runbooks, and security guidelines for internal teams., • Lead training and awareness activities for support teams on EPM operation. Required Skills & Experience Technical Requirements • Hands on experience with Microsoft Intune Endpoint Privilege Management (EPM)., • Deep understanding of:, • Least privilege and Zero Trust security models, • Elevation rule creation, testing, and deployment, • Application behaviour analysis and privilege requirements, • Windows security hardening, • Defender for Endpoint (particularly Attack Surface Reduction), • Log Analytics / KQL for monitoring privilege escalations, • Strong PowerShell scripting capability (automation, Graph API, rule validation). Preferred Experience • Familiarity with:, • Microsoft Defender XDR / vulnerability management, • Conditional Access & Identity Protection, • AppLocker/App Control for Business, • Relevant certifications (beneficial):, • MD-102 Endpoint Administrator, • MS-102 Microsoft 365 Administrator, • SC-200 Security Operations Analyst, • SC-300 Identity & Access Administrator Soft Skills • Clear communicator able to simplify complex security concepts., • Strong analytical and root-cause analysis capability., • Process-driven, with attention to documentation and governance., • Ability to build trust with both technical and non-technical stakeholders. Key Deliverables • Enterprise-wide implementation of Microsoft Intune Endpoint Privilege Management., • Removal of local admin rights across the organisation., • Secure and frictionless JIT elevation experience for end users., • Comprehensive reporting for audit, compliance, and risk monitoring., • Continuous improvement of endpoint privilege workflows and automation.

As data engineer, you will contribute to the development of a robust, validated and easily accessible data foundation instrumental in facilitating new analytical workflows and applications. About us Hexegic are a leading technical consultancy providing agile multi-disciplinary teams to high performing organisations. The company promises exciting, engaging and rewarding projects for those that are keen to develop and build a successful career. Core Responsibilities • Establishing new data integrations within the data foundation, • Conduct ETL activities as conducted by SMEs, • Configuring connections to other datasets within the data foundation, • Collaborate with SMEs to create, test and validate data models and outputs, • Set up monitoring and ensure data health for outputs What we are looking for • Proficiency in Python, with experience in Apache Spark and PySpark, • Previous experience with data analytics softwares, • Ability to scope new integrations and translate user requirements into technical specifications What’s in it for you? • Base salary of £50,000-£60,000, • £5000 a year professional development budget, • Wellness program, • 25 days annual leave, • Hybrid working arrangements Please note that successful candidates must be eligible for UK security clearance

Power BI Engineer London Up to £55,000 This is an opportunity to play a key role in a growing data and analytics function, designing high‑impact reporting solutions that shape how the business makes decisions. If you enjoy building elegant dashboards, creating robust semantic models, and working closely with stakeholders to turn data into insight, this role provides both ownership and strong career development. The Company They are an established organisation investing in modern data capabilities to improve reporting, analytics and business performance. Their data and analytics team partners closely with commercial and operational functions, enabling better visibility into sales, inventory and customer behaviour. With a growing data estate and a clear focus on insight adoption, they are strengthening their reporting foundations and looking for someone who can elevate their Power BI environment. The Role • Design, develop and maintain Power BI dashboards, datasets and reporting solutions that meet business requirements., • Translate stakeholder needs into actionable visual analytics that highlight trends and performance drivers., • Build and manage semantic models, including measures, KPIs and optimised relationships., • Write clear and efficient DAX to support calculations and time‑intelligence logic., • Work with data engineers to source, shape and transform data using Power Query and SQL., • Connect to a range of data sources such as SQL databases, Azure services, Excel and APIs., • Apply governance best practices, including row‑level security, workspace management and performance optimisation., • Communicate insights clearly to non‑technical teams and support the adoption of reporting outputs. Your Skills and Experience • Strong commercial experience developing dashboards and datasets in Power BI Desktop and Service., • Confident writing DAX and applying semantic modelling principles., • Strong SQL capability and experience working with structured data., • Skilled in Power Query for transformation and shaping., • Able to collaborate effectively with technical and non‑technical stakeholders., • Clear communicator who can present insights in an accessible way., • Awareness of the wider Microsoft data ecosystem, including tools such as Microsoft Fabric, is beneficial., • Experience within a retail environment is advantageous but not essential.

We are seeking an experienced Data Engineer to design, build, and maintain our cloud-based data infrastructure on Azure and Databricks. This role is pivotal in ensuring our data platform is scalable, secure, and optimised for advanced analytics and reporting. Key Responsibilities Platform Development & Maintenance • Design and implement robust data pipelines using Azure Data Factory, Databricks, and related Azure services., • Build ETL/ELT processes to transform raw data into structured, analytics-ready formats., • Architect and deploy scalable data lake solutions using Azure Data Lake Storage., • Implement data governance and security measures aligned with compliance standards., • Use Infrastructure-as-Code tools (e.g., Terraform) for reproducible deployments., • Develop and optimise jobs within Databricks, leveraging Delta Lake for reliable storage and ACID transactions., • Implement medallion architecture (bronze, silver, gold layers) and reusable notebooks., • Optimise cluster configurations for cost and performance., • Implement monitoring and alerting solutions using Azure Monitor, Log Analytics, and Databricks tools., • Troubleshoot performance issues, optimise resource utilisation, and ensure SLAs are met., • Partner with data scientists, analysts, and business stakeholders to deliver tailored data solutions., • Document technical architectures, data flows, and operational procedures for knowledge sharing. Essential Skills & Experience • 5+ years of experience with Azure Cloud services (Data Factory, Data Lake Storage, SQL Database, Synapse Analytics)., • Strong hands-on experience with Databricks, Delta Lake, and cluster management., • Proficiency in SQL and Python for data manipulation and pipeline development., • Experience with Git/GitHub and CI/CD practices., • Solid understanding of data modelling concepts and data lake architectures., • Knowledge of data governance, security, and compliance requirements. Desirable Skills • Experience with Terraform or other Infrastructure-as-Code tools., • Familiarity with Azure DevOps or similar CI/CD platforms., • Exposure to data quality frameworks and testing approaches., • Azure certification (e.g., Azure Data Engineer Associate)., • Databricks certification.

Senior Analytics Engineer - 12 month FTC £78,000 London (hybrid) This is a rare opportunity to take a lead role in a growing Analytics Engineering function at a pivotal moment in its evolution. You will play a central part in a major Lakehouse programme, combining deep technical ownership with the chance to influence how data is modelled, governed and consumed across the organisation. The Company They are a large, complex organisation making continued investment in their enterprise data platform. Analytics sits at the heart of decision-making, with a clear mandate to expand engineering capability and mature the Lakehouse environment. The team is collaborative, technically ambitious and growing, with strong links across Engineering, BI and the wider business. This role sits within a well-established analytics function that is scaling its engineering remit. The Role • Take ownership of the curated or Gold layer within a Lakehouse architecture, • Design and deliver high-quality, analytics-ready data models that support trusted reporting, • Translate complex business requirements into robust SQL and PySpark transformation pipelines, • Shape how data is structured, modelled and served across multiple domains, • Embed data quality, testing, reliability and performance standards into pipelines, • Contribute to CI/CD and modern engineering best practices within the data platform, • Act as a technical mentor, supporting and guiding other Analytics Engineers, • Work closely with Data Engineers, BI teams and business stakeholders to deliver impact Your Skills & Experience • Strong commercial experience as an Analytics Engineer operating in a modern data platform, • Advanced data modelling capability, including dimensional and semantic modelling, • Strong PySpark development experience within a Lakehouse environment, • Advanced SQL skills for complex transformations, • Hands-on experience with Databricks, including pipelines and governance tooling, • A strong engineering mindset, with a focus on reliability, testing and maintainability, • Proven ability to mentor others and provide technical leadership, • Comfortable operating at the intersection of business and engineering

£Up to £175,000 GBP Competitive Bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Senior Data Engineer - Commodities & Energy Trading London | Permanent | Hybrid Working Our client is a global commodities and energy trading organisation operating an asset-light, highly diversified business model. The firm combines advanced analytics, proprietary technology, and robust risk management to support trading, optimisation, and risk-management decisions across energy and commodities markets. As a Senior Data Engineer, you will join a highly technical Data, AI & Analytics function responsible for building the data platforms that underpin trading, quantitative research, predictive analytics, and machine-learning use cases. This is a hands-on role with ownership across data ingestion, transformation, storage, and distribution, working closely with Data Scientists, Traders, and technology teams. You'll have the opportunity to: • Build and maintain scalable data pipelines supporting trading and analytics use cases, • Ingest structured and unstructured data from diverse internal and external sources, • Support predictive analytics, systematic trading, and machine-learning workloads, • Partner closely with Data Scientists and Trading teams to deliver high-quality datasets, • Contribute to cloud-native data platforms using modern engineering practices, • Drive improvements in data quality, performance, and self-service capabilitiesYour Responsibilities As a Senior Data Engineer, you will: • Design and implement data ingestion pipelines using ETL, streaming, scraping, and batch approaches, • Clean, enrich, and transform datasets for analytical and operational consumption, • Persist data across databases, warehouses, and data lakes, • Distribute data internally via APIs, Python packages, and direct querying, • Maintain and enhance production data pipelines and databases, • Support post-processing automation, including analytics, models, and visualisation workflows, • Enable Data Scientists through shared libraries, cloud resources, and documented data access, • Maintain knowledge bases covering data sources, pipelines, and usageKey Requirements As a Senior Data Engineer, you should have: • Strong engineering background in Data Engineering, Computer Science, or similar, • Experience working in commodities, energy trading, or financial markets environments, • Advanced Python skills, including extensive use of Pandas, • Experience with analytical or time-series databases (e.g. Redshift, ClickHouse), • Hands-on experience with Docker and containerised workloads, • Experience with Git and modern DevOps practices, • Practical experience deploying infrastructure on AWS using IaC (e.g. CDK, CloudFormation), • A proactive, ownership-driven mindset with strong problem-solving skillsYou will gain exposure with: Working as a Senior Data Engineer, you will gain exposure to: • Direct collaboration with Traders and quantitative teams, • Cloud-native data platforms supporting real-time and batch processing, • Big-data and distributed processing tools, • AWS services such as S3, Lambda, Athena, EMR, Kinesis, and EC2, • Advanced analytics, visualisation, and data-science workflows, • Emerging technologies across AI and machine learningWhy Join?, • Work on data platforms that directly support trading and optimisation decisions, • Own data engineering solutions end-to-end in a high-impact environment, • Operate in a technically deep, collaborative engineering culture, • Competitive compensation with performance-linked bonus, • Hybrid working model supporting flexibility and collaborationInterested? Apply now.

New Permanent Opportunity for an Enhanced DV Cleared Data Scientist / AI Engineer in Central London. • Must have active enhanced DV Clearance, • Junior to Lead levels available, • £45k to £95k DoE plus 15% clearance bonus, • Must be willing to be full-time on-site in Central London, • Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You’ll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements • Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis., • Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes., • Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors., • Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform., • Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call me on 0161 416 6800 or 07719065951 - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning

Lead Data Engineer – Contract (6 Months) Location: London (2 days per week on-site) Contract Type: 6-month contract (likely to extend) IR35 Status: Inside IR35 Start Date: Immediate Day Rate: £600 - £700 per day About the Role SR2 are partnering with an enterprise client undergoing a large-scale CRM transformation and are seeking an experienced Lead Data Engineer to join the programme. This is a key position where you will play a central role in shaping the data architecture and introducing modern data engineering practices and tooling across the team. You’ll have the opportunity to influence technical direction, mentor team members, and drive best practices in a high-impact project environment. Key Responsibilities • Lead the design and implementation of scalable data solutions for CRM transformation, • Introduce and champion modern data engineering tools and best practices, • Collaborate with cross-functional teams including data, analytics, and engineering, • Provide technical leadership and guidance to the wider data team, • Ensure efficient data modelling, transformation, and pipeline development Essential Skills & Experience • Strong experience with Snowflake, • Hands-on experience with AWS, • Proven capability with DBT (data build tool), • Solid programming skills in Python, • Experience leading or mentoring data engineering teams, • Exposure to large-scale or enterprise data transformation projects If you're a Lead Data Engineer looking to make an impact on a major transformation programme, we’d love to hear from you.

At Sahaj Software, we’re not just shipping pipelines - we’re designing purpose-built data platforms that solve complex challenges for some of the UK’s most forward-thinking organisations. We believe in craftsmanship, autonomy, and trust. No hierarchies and no bureaucracy, just small teams solving big problems with modern tech. Why this role? Working as a Lead Data Engineer, you’ll own the design and delivery of scalable data platforms, pipelines, and architectures that power real business decisions. You’ll work closely with data scientists, engineers, and stakeholders to transform messy data into clean, reliable, and production-grade systems. This is a hands-on, high-impact role where you’ll influence technical direction while staying close to the code. Perfect if you want scope for growth without going “post-technical.” What you’ll do • Design and build modern data platforms using Databricks, Apache Spark, Snowflake, and cloud-native services (AWS, Azure, or GCP)., • Develop robust pipelines for real-time and batch data ingestion from diverse and complex sources., • Model and optimise data for performance, visibility, and downstream analytics/ML use cases., • Champion best practices: CI/CD, TDD, GitOps, observability, schema validation, and data quality., • Collaborate with data scientists and ML engineers to deploy production-grade AI/ML systems., • Guide clients on data strategy, architecture, and platform modernisation., • Mentor and influence engineers across Sahaj, helping grow our collective data engineering capability. What we’re looking for • Must have solid experience as a Senior/Lead Data Engineer in complex enterprise environments., • Can demonstrate strong coding skills in Python (Scala or functional languages a plus)., • Expertise with Databricks, Apache Spark, and Snowflake is a must (HDFS/HBase also useful)., • Has experience integrating large, messy datasets into reliable, scalable data products., • Strong understanding of data modelling, orchestration, and automation., • Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerisation (Docker, Kubernetes)., • A craftsman’s mindset: you care about code quality, maintainability, and doing things the right way. What you’ll get at Sahaj • Unlimited annual leave – we trust you to manage your time., • Open salaries & stock options – transparency from the ground up., • Private health & life insurance – covered by us., • Flat structure, no hierarchy – you own your work, and your voice counts.

Intercontinental Exchange ( NYSE:ICE ) is a Fortune 500 company operating a leading network of global futures, equity, and equity options exchanges, alongside world-class clearing and data services spanning financial and commodity markets. We place the needs of our customers and global market participants at the forefront of everything we do. As a high-growth organisation, we pioneered transparency and risk management in global derivatives markets. Our team comprises engineers, strategists, and problem-solvers who continuously innovate technology solutions to address complex market structure challenges. About the Role The ICE Data Derivatives business provides market data, valuation, and analytics services across all OTC (over the counter) derivative asset classes to a global customer base. We are seeking an exceptional Financial Engineer to join our Pricing and Analytics tea m, a group dedicated to researching, implementing, and supporting enterprise-grade pricing and risk systems. This role requires a unique combination of quantitative finance expertise and cutting-edge AI capabilities, with particular emphasis on Deep Neural Networks and Large Language Models (LLM) applied to derivatives markets. Key Responsibilities • AI-Powered (artificial intelligence) Market Access: Design and deploy AI-driven conversational agents that enable clients to interact with derivatives market data and analytics through natural language interfaces, democratizing access to complex financial information., • Neural Network Pricing Models: Research and implement Deep Neural Network-based approximations for exotic derivatives pricing models across Interest Rate, Equity, FX (forex), and Commodity asset classes, delivering order-of-magnitude improvements in computational performance for large, complex portfolios., • Next-Generation Risk Analytics: Leverage advanced AI techniques to enhance risk management capabilities, including significant acceleration of Value-at-Risk ( VaR ) and XVA computations., • Research & Documentation: Produce rigorous analysis and comprehensive documentation of AI methodologies, model architectures , and research findings to support transparency and knowledge transfer across the organization., • Large-Scale Data Analysis: Extract insights from complex, high-volume datasets to inform model development and business strategy., • Model Interpretation & Guidance: Provide clear explanations of AI model behavior, conduct scenario analysis, and deliver actionable analytics to stakeholders across the business. Knowledge and Experience * Expert professional experience in Machine Learning and quantitative finance . * Demonstrated proficiency in modern AI development workflows, including fluency with tools such as Claude Code and GitHub Copilot. * Proven ability to leverage Large Language Models for productivity enhancement across documentation, architecture design, and project development . * Expert programming skills in C++. * AI Agent Development: Demonstrated experience designing and deploying production-grade AI. agents utilizing Large Language Models, including prompt engineering, tool integration, and orchestration frameworks for autonomous decision-making systems. * Deep Learning Architecture : Strong theoretical and practical knowledge of Deep Neural Network architectures, including feedforward networks, recurrent models, transformers, and their application to time-series forecasting and function approximation in financial contexts. * Solid understanding of financial markets, derivatives pricing - risk modeling principles valued. Core Competencies * Hard worker and team player, highly self-motiv at ed in learning and applying new techniques . * Ability to solve real world business problems using AI and quantitative techniques . * Strong oral communication and documentation skills . Education * Advanced degree (MSc OR PhD) in Mathematics, Physics, Quantitative Finance, Machine Learning , or any other related quantitative discipline/ equivalent.