Analytics engineer jobs in United Kingdom - Page 2

Data Engineer - SC Cleared 6 Month Contract Hybrid - 2 days per week onsite Please note: Active SC Clearance is required for this role A leading organisation within the UK financial sector is embarking on a major data transformation programme. They are looking for an experienced Data Engineer to help design and deliver a modern, cloud‑first data platform that will underpin some of the organisation’s most critical functions. Responsibilities: • Design, build and deploy scalable, secure data solutions using Azure Databricks, Data Factory and Data Lake Storage., • Develop and optimise advanced data pipelines with Python, SQL, Spark/PySpark and Delta Lake., • Champion strong data quality, governance and observability practices., • Modernise legacy systems and support large-scale migrations into Azure., • Provide technical leadership, set engineering standards and contribute to architectural decisions., • Mentor engineers and foster a culture of continuous improvement., • Work closely with architecture, analytics and business teams to align engineering solutions with organisational needs. Minimum Criteria • Extensive experience with Azure services including Azure Databricks, Azure Data Lake Storage, and Azure Data Factory., • Advanced proficiency in SQL, Python, and Spark (PySpark), with a strong focus on performance optimization and distributed processing., • Proven experience in CI/CD practices using industry-standard tools (e.g., GitHub Actions, Azure DevOps)., • Strong understanding of data architecture principles and cloud-native design patterns. Essential Criteria • Demonstrated ability to lead technical delivery, mentor engineering teams and collaborate with stakeholders to ensure alignment between data solutions and business strategy., • Proficiency in Linux/Unix environments and shell scripting., • Deep understanding of source control, testing strategies, and agile development practices., • Self-motivated with a strategic mindset and a passion for driving innovation in data engineering. Desirable Criteria • Experience delivering data pipelines on Hortonworks/Cloudera on-prem and leading cloud migration initiatives., • Familiarity with Apache Airflow, data modelling, and metadata management, • Experience influencing enterprise data strategy and contributing to architectural governance. To apply for this position please submit your CV.

We’re working with a fast-growing technology consultancy that is building a strong reputation across the Energy & Commodities trading space, delivering modern engineering, AI, and data platforms for some of the most sophisticated trading environments globally. Following significant growth within their trading practice, they are looking to hire a Principal Software Engineer to lead complex, high-impact client engagements across data, AI, and software engineering initiatives. This is a senior, highly visible position combining hands-on technical leadership with architecture, stakeholder management, and strategic delivery. You’ll work directly with senior engineering leaders and business stakeholders to design and deliver greenfield platforms that support real-time trading operations, analytics, and decision-making. The role sits at the heart of large-scale transformation programmes focused on modern cloud-native engineering, distributed systems, streaming technologies, and advanced data platforms. Key areas include: • Real-time and event-driven systems, • Distributed data and software platforms, • Cloud-native engineering and architecture, • Streaming and intraday analytics platforms, • AI-enabled engineering solutions, • Modernisation of trading technology ecosystems This role would suit someone who enjoys operating as both a technical leader and trusted advisor , someone comfortable influencing architecture, mentoring engineers, engaging senior stakeholders, and driving delivery across complex programmes. Ideal background: • Strong software engineering experience with Python and modern cloud technologies, • Experience building scalable distributed systems and data platforms, • Strong understanding of streaming/event-driven architectures, • Previous exposure to Energy, Commodities, or Capital Markets environments, • Ability to operate confidently in client-facing and stakeholder-heavy environments Why it’s compelling: • Opportunity to lead greenfield engineering initiatives, • Blend of technical depth, architecture, and strategic influence, • Exposure to multiple large-scale trading programmes, • Fast-growing business with strong momentum in the market, • Highly collaborative, engineering-led culture, • Strong visibility and progression potential within the organisation This is an excellent opportunity for a senior engineer who wants to remain close to technology while stepping into a broader leadership role within one of the most technically interesting areas of the market.

PRS are working with a global FM services provider who are actively seeking a BMS Applications Engineer to join their team on a hybrid basis, based out of their office in London. Not only does this opportunity give you the chance to work with one of the most well-known FM clients', it also gives you the freedom to work remotely or in the office whilst providing key career experience to enhance your knowledge and abilities. This role offers a salary of £48,000 + discretionary bonus, 70-80% remote work with site visits required and occasional office days based out of London. Job Overview: This role involves delivering master systems integration for Building Management Systems (BMS), including configuring control databases, engineering user interfaces, and setting up control systems to project specifications. Responsibilities include remote and on-site technical support, software installation, system start up, and commissioning. The position supports global enterprise projects using industry-leading technologies and processes. Key Responsibilities: • Creates control logic from specifications and system designs., • Programs control applications, workstations, panels, and integration devices., • Performs system testing, checkout, and commissioning., • Develops graphical user interfaces for control systems., • Acts as technical liaison with owners and construction managers., • Provides on-site operator training for installed systems., • Diagnoses system issues and restores operation., • Coordinates installations with contractors on-site., • Conducts final walkthroughs and completes punch-list signoff., • Delivers projects on schedule and within budget., • Identifies new business opportunities and tracks industry trends. Qualifications: Bachelor's Degree in HVAC, Electrical Engineering or Mechanical Engineering with a minimum of three years related industry experience, or equivalent experience. • Tridium Niagara preferable, • HVAC knowledge, • BMS Knowledge, • BMS Commissioning, • BMS Programming and user interface engineering, • Analytics experience, • UK Clean Driving License Requires knowledge of basic financial terms and principles. Ability to calculate intermediate figures such as percentages, discounts, and/or commissions. Conducts basic financial analysis. Must possess a thorough knowledge of the use, setup and operation of Windows-based computers and desktop applications such as MS-Word and MS-Excel. Experience with control and HVAC systems and their terminology. If you are interested in this role please get in touch on 07908533003 or

Founding AI Software Engineer | Global Media | London / Yorkshire | The Opportunity Join a newly formed AI team acting as an internal incubator for a highly established, global media and technology group. We are reinventing how we operate through the lens of artificial intelligence, building high-impact solutions across our portfolio of digital publishing, visual content, and data analytics brands. This role exists to bridge the gap between emerging AI research and tangible business value. We aren't interested in traditional, slow-moving development cycles; we are looking for a founding engineer to define what "AI-native" means for our entire organisation. You will be forward-deployed, working directly with business units to solve problems that others haven't even identified yet. This is your chance to move from concept to working prototype in days, leveraging the most advanced agentic tools to ship at unprecedented velocity. You'll enjoy the autonomy of a startup founder, backed by the resources, scale, and rich data of a heritage media institution. What You’ll Be Doing Core Engineering & Prototyping • Ship at Velocity: Build AI-powered solutions rapidly using AI-native development approaches, leveraging tools like Claude Code and agentic engineering techniques to build in hours what traditionally takes days., • Embedded Prototyping: Build rapid proof-of-concepts directly alongside business teams. Move from requirements to working demonstrations with astonishing speed using TypeScript, Node.js, and AWS., • Continuous Experimentation: Push technical boundaries by testing new models, techniques, and agentic approaches the day they are released., • Multiply Capabilities: Create APIs, integration patterns, and developer experiences that allow other engineering teams to leverage your AI capabilities seamlessly., • Establish Guardrails: Design and implement lightweight, pragmatic technical standards for responsible and ethical AI deployment without sacrificing development velocity., • Lead by Example: Establish AI-native engineering practices that accelerate the entire organisation, leading through demonstration and shipping working code rather than writing lengthy documentation. What We’re Looking For Essential Skills • Modern Engineering Depth: Senior-level expertise in TypeScript and Node.js with a proven ability to architect, deploy, and scale production systems in AWS cloud environments., • Advanced AI Fluency: Deep experience building agentic systems, implementing complex RAG architectures, and chaining multiple LLMs (OpenAI, Anthropic, etc.). You go far beyond basic API wrappers and understand context management, prompt engineering, and model behavior., • AI-Assisted Workflow: You already use AI coding assistants (Claude Code, Copilot, Cursor) to accelerate your own engineering workflow., • Rapid Iteration: Comfort operating at extreme velocity in ambiguous environments. You know intuitively when to hack together a messy prototype for learning versus when to build robustly for production scale., • Domain Context: Experience working in media, content licensing, data-intensive domains, or high-volume publishing., • Infrastructure Expertise: Deep understanding of modern cloud infrastructure, including containerisation, serverless architectures, and Infrastructure as Code (IaC)., • ML Intuition: A background in data science or ML engineering that provides intuition for embedding spaces, attention mechanisms, and evaluation methodologies., • Production Observability: Experience with monitoring and telemetry tooling to debug complex, multi-step AI agents in production., • Community Presence: Active contribution to open-source AI projects or a technical footprint demonstrating thought leadership in the AI engineering space.

A leading multi-strategy hedge fund is looking to hire a Credit Strat Developer to join a high-performing team supporting credit-focused PMs across London and APAC. This is a front-office aligned role, working closely with a profitable desk to build and enhance tools across the full trading lifecycle — from research and analytics through to P&L, risk, and execution support. What you’ll be doing • Develop and maintain Python-based tools and libraries for credit trading desks, • Build risk, P&L, and attribution frameworks used directly by PMs, • Create research toolkits, analytics dashboards, and automation utilities, • Work closely with traders and quants to translate ideas into robust production systems, • Contribute to data pipelines, time-series analysis, and monitoring tools Requirements • 3–7 years’ experience as a Quant Developer / Strat / Python Engineer in a front-office environment, • Strong Python skills (Pandas, NumPy, SQL), • Solid understanding of credit products (e.g. CDS, corporate/government bonds), • Experience with risk, P&L, or attribution tooling, • Background in a buy-side firm preferred (sell-side credit desk also considered), • Strong engineering fundamentals with experience delivering production-grade code Nice to have • Experience with KDB, Kafka, Databricks, or similar data technologies, • Familiarity with market data, pricing, and credit analytics, • Exposure to dashboarding tools (e.g. Dash, Grafana), • Understanding of derivatives and market conventions Why apply? • Direct exposure to PMs and trading decisions, • Opportunity to take ownership of key systems in a lean team, • Strong compensation and growth potential, • Collaborative, high-performance environment within a well-established hedge fund

Principal Machine Learning Engineer – Sports AI & Personalisation West London (Hybrid) Freelance Contract - 6 Months (Expected Extensions) Rates - Negotiable What if AI could completely change how millions of fans experience live sport? We're currently partnering with a major consumer technology and media business that’s investing heavily in AI-driven sports experiences. They’re building next-generation platforms that use machine learning, computer vision, and generative AI to transform how millions of fans engage with live sport; from real-time insights and predictive analytics to highly personalised viewing experiences. They’re now looking for a Principal Machine Learning Engineer to play a key role in shaping the architecture, strategy, and delivery of large-scale production ML systems powering live sports environments. This is a genuinely high-impact opportunity for someone who enjoys solving complex real-time engineering challenges while influencing technical direction across AI, data, and platform teams. Key areas of focus include: • Real-time sports insights & personalisation, • Computer vision & multimodal AI, • Live event detection & metadata generation, • Low-latency ML inference systems, • End-to-end MLOps & production ML, • Scalable cloud-native AI platforms What they’re looking for: • Strong experience leading ML engineering initiatives in sports, media, streaming, or real-time data environments, • Deep understanding of sports data and analytics, • Advanced Python skills with frameworks such as PyTorch or TensorFlow, • Proven experience in productionising ML systems at scale, • Strong knowledge of streaming architectures and low-latency systems, • Technical leadership and mentoring experience, • Ability to communicate effectively with technical and non-technical stakeholders The environment is fast-moving, highly collaborative, and focused on building genuinely innovative consumer-facing AI products. If you’d be interested in learning more, feel free to message me directly.

Senior Software Engineer (TypeScript / Python, FinTech, AI) London (Hybrid) £95,000 The Opportunity Join a high-growth, regulated fintech building next-generation infrastructure at the intersection of traditional finance and digital assets. The platform enables institutional clients to trade, tokenise, and manage real-world financial assets on blockchain rails, covering the full lifecycle from issuance through to trading and custody. This is a chance to work on complex, high-performance systems used by banks, asset managers, and financial institutions globally. The Role You’ll be part of a high-calibre engineering team building scalable, secure systems that power a modern financial marketplace. Responsibilities include: • Designing and building low-latency, high-throughput backend services, • Developing APIs and services using TypeScript and/or Python, • Working on systems supporting trading, custody, and asset tokenisation, • Contributing to AI-driven features, such as automation, analytics, or intelligent workflows, • Collaborating with product, quant, and infrastructure teams, • Ensuring systems meet regulatory, security, and reliability standards expected in financial services What They’re Looking For • Strong experience with TypeScript and/or Python, • Background in financial services, fintech, or capital markets, • Experience building distributed systems or high-performance platforms, • Exposure to AI / machine learning applications (production or applied), • Solid understanding of APIs, cloud infrastructure, and system design, • Bonus: experience with trading systems, digital assets, or blockchain Tech Environment • TypeScript, Python, • Cloud-native architecture, • API-first systems, • Real-time data and trading infrastructure, • AI / data-driven components Why Join • Work on cutting-edge financial infrastructure bridging traditional finance and blockchain, • Be part of a regulated, institutional-grade platform in a rapidly evolving market, • Exposure to tokenisation, digital securities, and next-gen financial systems, • High ownership, fast-moving environment with strong technical challenges

Senior Data Engineer – London Insurance Market | London (Hybrid) About the Role We are hiring an experienced Senior Data Engineer to join a high-impact transformation programme focused on modernizing data platforms within the London Insurance Market. This is an excellent opportunity to work on cloud-native solutions that power underwriting, pricing, claims, reinsurance, regulatory reporting, and AI-driven analytics. You will play a key role in designing scalable data architectures, building robust pipelines, and partnering with senior stakeholders across business and technology functions. Location: London, United Kingdom Working Model: Hybrid Key Responsibilities • Design and implement modern cloud-based data platforms using Medallion Architecture., • Build and optimize batch and real-time data pipelines across underwriting, pricing, claims, reinsurance, and bordereaux data., • Develop scalable solutions using Python, PySpark, Databricks, and/or Snowflake., • Integrate data from policy administration systems, claims platforms, broker systems, third-party providers, and market feeds., • Ensure strong data quality, reconciliation, lineage, governance, and auditability., • Support analytics, MI, regulatory reporting, and AI use cases., • Apply AI-assisted engineering tools (Open AI / Claude) to improve delivery productivity., • Drive engineering best practices including code reviews, CI/CD, Git workflows, and automated testing., • Mentor engineers and act as a trusted advisor to senior stakeholders. Required Skills & Experience • Proven experience as a Senior Data Engineer or Lead Data Engineer., • Strong background in Insurance, ideally within the London Market ecosystem., • Deep knowledge of underwriting, claims, delegated authority, pricing, and reinsurance., • Hands-on expertise in Python, PySpark, Databricks, Snowflake, SQL., • Experience with Azure, AWS, or GCP., • Strong understanding of batch/streaming pipelines and data modelling., • Familiarity with DevOps practices, CI/CD, and Git-based delivery models., • Excellent communication skills with experience engaging business and technical stakeholders. Nice to Have • Experience with bank reporting / bordereaux processing., • Exposure to GenAI use cases in engineering or analytics., • Experience leading small engineering teams or workstreams. Why Join? • Work on business-critical transformation initiatives., • Collaborate with senior leaders across Data, Underwriting, Finance, and Actuarial teams., • Use modern cloud and AI technologies., • Strong career growth in a specialist market domain. Apply Now If you have the right blend of Data Engineering expertise + Insurance domain knowledge, we’d love to hear from you. #DataEngineer #SeniorDataEngineer #Databricks #Snowflake #PySpark #InsuranceJobs #LondonMarket #CloudJobs #Hiring #LondonJobs

The Challenge Cardiometabolic conditions will impact 80-90% of people throughout their lifetimes, representing the leading cause of death globally and an important risk factor for neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models that translate clinical outcomes into economic value. The Opportunity This is an opportunity to build the ML and AI foundations of Onsera Health's breakthrough healthcare platform. Backed by Population Health Partners (PHP)—the proven venture platform behind Metsera and Corsera Health—we're building the future of population health management. As a Senior Machine Learning Engineer, you will sit at the intersection of data science, platform engineering, and production systems. Your mission is to design and operate the foundations that allow ML, analytics, and agentic AI systems to move safely and reliably from experimentation into regulated healthcare production environments on Google Cloud Platform. You will be the primary interface between Data Science and Platform Engineering, enabling rapid iteration while enforcing production and compliance standards. Responsibilities • Design and implement Onsera's agentic AI platform – architect LLM/agent framework selection, standardized patterns for tools, memory, guardrails, evaluation, and observability, • Define MLOps protocols for agentic systems – environment separation, versioning of prompts, tools, and policies, cost controls, rate-limiting, and fail-safe mechanisms, • Bridge data science and platform engineering – translate experimentation needs into GCP infrastructure, scalable compute patterns, and reproducible development environments, • Productionize data science code – convert research-grade notebooks into tested, modular, production-grade Python services, batch and streaming pipelines, and scheduled workflows, • Build production-grade data pipelines – develop idempotent, observable, and cost-efficient pipelines using BigQuery, Airflow, Google Workflows, and Cloud Run, • Implement CI/CD for ML workloads – automated validation, monitoring, rollback strategies, and model lifecycle management, • Mission-driven work addressing critical public health and healthcare economics challenges, • Ground-floor opportunity to build the ML/AI infrastructure for a breakthrough healthcare platform, • Partnership with a world-class team of industry leaders, innovators, technologists, bioscientists, and clinicians from PHP and beyond, • A fast-paced, dynamic, and highly collaborative work environment, • Competitive salary and benefits package, including participation in our equity program Minimum Qualifications • 5+ years of experience in machine learning engineering, data engineering, or a related field, • Strong Python engineering skills with production-quality, typed, and tested code, • Track record productionizing ML models in batch and/or real-time environments, • Hands-on experience with analytical data warehouses (BigQuery or equivalent) and workflow orchestration (Airflow or similar), • Experience deploying ML systems on GCP, including Cloud Run, GCS, and IAM, • Infrastructure-as-Code experience (Terraform or equivalent), • Experience with feature engineering, model lifecycle management, and ML evaluation, • Experience with LLMs, agent frameworks, or AI orchestration systems in production, • Familiarity with prompt management, tool calling, evaluation, and AI safety patterns, • Healthcare or regulated-industry experience, including familiarity with HIPAA or SOC-2 compliance, • Experience with claims data, EHR-derived datasets, or real-world evidence We are an early-stage health AI company revolutionizing cardiometabolic care and population health economics connected to weight loss. Our unique position within the PHP ecosystem provides: • Venture track record: A proven track record of success in building biotech and healthcare companies, • Deep capital: Funding and resourcing to support deep tech and scientific R&D—and to drive growth, • Strategic guidance: Direct access to industry pioneers (including founders of The Medicines Company and Metsera), healthcare experts (including leaders in virtual care, former FDA commissioners), strategists (McKinsey/QuantumBlack alumni), and world-class scientific talent, • Expert network: Established connections across pharma, payers, and providers Population Health Partners (PHP) is a premier investment firm established in 2020, aimed at transforming health outcomes for large populations. With offices in New York and London, PHP combines financial resources with industry-leading capabilities and technology. The firm's incubation portfolio includes Metsera and Corsera Health. Leadership: Led by industry veterans including Clive Meanwell (The Medicines Company), Chris Cox (The Medicines Company), and Whit Bernard (Metsera), bringing decades of founder experience and operational excellence in biopharma and healthcare, and Roy Berggren, 30+ year McKinsey Healthcare leader.

About the Role We are seeking a Full-Stack Engineer to join our team and help build the next generation of AI solutions. This is a unique opportunity to be a key technical contributor in a fast-paced, innovative environment where you'll wear many hats and have significant impact on our product and engineering culture. As a full-stack engineer, you'll work across the entire technology stack—from backend services and data pipelines to infrastructure and deployment. You'll collaborate closely with the engineering team to architect, build, and scale our micro-services based platform while maintaining high code quality and operational excellence, utilising AI to maximise software development productivity. About Prolo Prolo is building an AI-powered procurement platform for the construction industry, which is one of the oldest and least digitised sectors in the world. The core system ingests unstructured purchase orders and transforms them into structured materials data, integrating with a network of suppliers and logistics partners to automate quoting, sourcing, and fulfilment workflows. What We're Building We're building a sophisticated AI platform that leverages graph databases, machine learning, and modern cloud infrastructure to deliver intelligent procurement and customer service solutions. Our stack includes: • Backend Services: Python 3.13, FastAPI, async micro-services architecture, • Data Layer: Neo4j graph database, PostgreSQL, complex data modelling, • AI/ML: OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction, • Infrastructure: AWS (Lambda, ECS/EKS, API Gateway, S3), • DevOps: Terraform, GitHub Actions, Helm, Infrastructure-as-Code, • Data Science: Graph analytics, data pipelines, ETL workflows, Jupyter notebooks Required Qualifications Software Development • 5+ years of professional software engineering experience, • Strong proficiency in Python (3.10+) with deep understanding of async programming, • Experience with Poetry or similar Python dependency management tools, • Experience building RESTful APIs and micro-services, • Solid understanding of database design and optimisation (both SQL and NoSQL), • Experience with graph databases (Neo4j preferred) or willingness to learn quickly, • Knowledge of event-driven architectures and message queues, • Knowledge of API design principles, data validation, and serialisation, • Experience with AWS Lambda and serverless architectures, • Experience working across the stack (backend + some frontend), • Understanding of web technologies, HTTP, and API integrations, • Ability to contribute to responsive frontend code when needed, • Hands-on experience using AI-assisted development tools (e.g. Cursor, GitHub Copilot) including prompt engineering, context management, and evaluating AI-generated code critically DevOps & Infrastructure • Hands-on experience with cloud platforms (AWS preferred), • Experience with containerisation (Docker) and orchestration (Kubernetes), • Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar), • Experience setting up CI/CD pipelines, • Understanding of service deployment, monitoring, and troubleshooting Data Science/Analytics • Experience with data analysis using Python (pandas, numpy), • Understanding of data pipelines and ETL processes AI/LLM Engineering • Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production applications, • Understanding of core LLM concepts: context windows, token limits, temperature, system prompts, and model selection trade-offs, • Experience with prompt engineering techniques — few-shot prompting, chain-of-thought, structured output, and instruction tuning Soft Skills • Wearer of Many Hats: Comfortable switching contexts and working across different domains, • Self-Starter: Ability to work independently and take ownership of projects, • Problem Solver: Strong analytical and debugging skills, • Collaborative: Excellent communication skills and ability to work in a small team, • Adaptable: Comfortable with ambiguity and rapid iteration Nice-to-Have Qualifications • Experience with observability tools (OpenTelemetry, Prometheus, Grafana), • Familiarity with agentic coding workflows — using AI agents to scaffold, refactor, test, and document code autonomously, • Experience with FastAPI or similar async Python web frameworks, • Experience with Neo4j or other graph databases, • Experience with graph algorithms and network analysis, • Experience with Helm and Kubernetes operators, • Background in data science, statistics, or scientific computing, • Experience with graph analytics or network analysis, • Experience with RAG, LLM Orchestration and MCP, • Experience in early-stage startups What We Offer • Impact: Direct influence on product direction and technical decisions, • Growth: Opportunity to work across the entire stack and learn new technologies, • Ownership: Take ownership of features from conception to deployment, • Flexibility: Hybrid, remote-friendly work environment, • Equity: Meaningful equity stake in the company, • Learning: Access to cutting-edge technologies and challenging problems Note: Prolo is a startup with a small engineering team, which means you'll be expected to be versatile, proactive, and comfortable with ambiguity. If you're excited about building something from the ground up and working across the entire technology stack, we'd love to hear from you.

Software Engineer (.NET) - Sports Betting🥎🏐🏈🎾 💰 £90,000 - £105,000 + benefits 📍 3 days per week in Central London office (Hybrid) Join a global leader in sports data & technology, powering immersive, real-time experiences for millions of fans worldwide. This is a business at the forefront of innovation within sports betting, analytics and data-driven decision-making. They are in search of a Mid .NET Software Engineer to contribute significantly to their cutting-edge multithreading project, handling millions of real-time threads per second. This presents an exceptional opportunity to participate in the development of pioneering technologies within the sports betting domain. Responsibilities as the C# Software Engineer: • Build and scale real-time, distributed systems, • Contribute to architecture, design & delivery of core products, • Ship high-quality code using CI/CD & modern engineering practices, • Collaborate in a data-driven, experimentation-led environment, • Continuously improve systems with a focus on performance, scalability & reliability, • Engage in the development of challenging and profoundly complex smart algorithms. You'll be a great fit for this opportunity if you have: • A Computer Science or Mathematics (or equivalent) degree from a Top Russell Group university., • Some commercial C# project experience and strong understanding of software design principles, • Passionate about working in complex real-time environments building highly-scalable systems., • Effective communication and collaboration skills to work alongside Data Scientists, DevOps, QA and Product colleagues Please note: This is a hybrid position based in London 3x p/week. Unfortunately, sponsorship is not available at this time. Apply now for immediate consideration regarding this Mid Level Software Engineer C# opportunity!✅

About Canbury Canbury is a technology-enabled sustainability firm applying AI tools to deliver research, data, and analysis thoroughly, effectively and cost-efficiently. We work with leading institutional investors, companies and NGOs on specialised sustainability topics, including climate change, nature, social inequality, systems change, and policy change. We combine deep sustainability and financial expertise with our in-house technology team to develop bespoke software solutions for clients across the sustainability space. We are at the forefront of deploying AI into sustainability data, using technology where it is best applied to reduce manual time and cost on large-scale text and data analysis. You can find more on our service lines and examples of our work at canbury.io. About the role We are expanding our technology team to meet growing client demand. As a Full-Stack Engineer, you will work across our internal platform, which powers Canbury’s research and analytics, and bespoke software for clients across the sustainability space. Our stack is Python (FastAPI), React/TypeScript, PostgreSQL, and Azure (Container Apps, Blob Storage, Postgres Flexible Server, and related services). You will work across all of it. We are particularly keen to hear from engineers with strong infrastructure and DevOps instincts who want to push us to run things properly in production. Why this role is interesting • Real autonomy. We are a small team. You will scope, build, deploy, and own systems end-to-end., • AI in production. We run LLM pipelines processing thousands of company disclosures for institutional investors. Cost, latency, and reliability are real constraints., • Technical breadth. Infrastructure, full-stack product work, and AI/data engineering all sit within the role., • Work that matters. Our clients steward trillions in assets. The tools you build shape how they assess companies on sustainability. What you'll do • Build and own infrastructure on Azure. Design and maintain CI/CD pipelines, container deployments, networking, secrets management, monitoring, and cost controls., • Develop full-stack features end-to-end. From Postgres schema design through FastAPI endpoints to React interfaces, for client deliverables., • Build Python-based data and AI pipelines. Develop analytics and ETL pipelines, automate data collection and cleansing, and extract insights via LLM APIs (Anthropic, OpenAI, Gemini). Optimise for cost and quality through caching, batching, token management, and prompt and post-processing design., • Contribute to technical decision-making as the team grows: architecture, tooling, code quality, and engineering practices. As a small team, everyone wears multiple hats and the role will evolve with the business and with technological developments. What we're looking for • At least 2 years of professional software engineering experience, preferably in roles where you have shipped and operated production systems, not just built prototypes., • Strong infrastructure and DevOps skills: hands-on experience with Azure (or comparable cloud, AWS or GCP), containerisation (Docker), CI/CD, and infrastructure-as-code., • Solid full-stack experience with Python backends (FastAPI or similar), React/TypeScript frontends, and relational databases (PostgreSQL preferred)., • A track record of building and shipping. Personal projects, open-source contributions, or production systems you can talk about in detail., • Comfort working with LLM APIs and an understanding of the practical considerations around cost, latency, and reliability when AI is in the loop., • Pragmatism and ownership. We need people who can scope, build, deploy, and maintain, not just write code and hand it off. Practicalities • Location: London. Hybrid. We have an office in Farringdon., • Type: Full-time, permanent., • Salary: £40k-60k+ depending on experience., • Right to work: You must have the right to work in the UK. We are unable to sponsor visas at this stage.

The opportunity We're hiring a Lead Engineer to run the engineering function on our largest hospitality client — a household UK brand operating across 2,700+ venues — and to manage a team of six Data Engineers working across Databricks and Treasure Data. This is a senior technical leadership role. You will own the engineering roadmap across both platforms, set the bar for how we design and ship, and be the person clients trust when things get hard. You will also shape the standards, tooling and career development for one of our most critical pods. The work speaks for itself: a Single Customer View built on Treasure Data, advanced analytics and ML in Databricks, and real-time omnichannel activation through Braze. The programme consistently beats its commercial targets — YoY by an average of over 34% across the last two years. Your job is to keep it doing that, and to find the next gear. What you'll do • Lead the engineering roadmap across Databricks and Treasure Data for our largest hospitality client — setting technical direction, quality bars and delivery cadence., • Manage, coach and grow a team of six Data Engineers — unblock daily work, run 1:1s, own career development, and set standards for code review, testing and on-call., • Shape solution design and effort scoping on new workstreams — partnering with Solution Architects, Strategic Services and Client Delivery to translate business problems into technical proposals clients can buy into., • Act as the senior technical voice in client conversations — presenting architecture, defending trade-offs, and telling clients what needs to happen, not just what they want to hear., • Drive DevOps and engineering excellence — CI/CD, infrastructure-as-code, observability, environment management and secure, repeatable deployments across both platforms., • Partner cross-pod with Customer Activation, Data Science & Analytics, Marketing Automation and Full Stack Development — because we win as One Silverbullet, not as siloed teams., • Own technical quality and production stability — you're the last line of defence before something goes wrong, and the first person we look to when it does. Your skills and experience • Strong, hands-on SQL expertise — including deep experience with CDPs that are SQL-native. Treasure Data is a significant advantage; exposure to mParticle, Tealium, Segment or Salesforce CDP will translate., • Production-grade PySpark / Databricks experience — building scalable data pipelines, optimising performance, and operating Delta Lake / Lakehouse architectures in a real production environment., • Solid DevOps craft — CI/CD pipelines, Git-based workflows, infrastructure-as-code (Terraform or similar), monitoring, alerting, and calm handling of production incidents., • Proven experience leading a data engineering team — not just senior IC work. You've managed people, set standards, and grown engineers into stronger engineers., • A consulting mindset — comfortable client-facing, able to translate technical concepts for non-technical stakeholders, and confident running a workshop or defending a design in a steering committee., • Solid solution design and effort scoping — you can take a loose business problem, shape it into an architecture, break it into deliverables, and put a credible number against it. Nice to have • Experience with MarTech / CRM activation platforms — Braze, Salesforce Marketing Cloud, Talon.One, Hightouch, LiveRamp., • Background in consumer-facing sectors — hospitality, travel, retail, CPG or media., • Cloud platform certifications — AWS preferred; Azure or GCP equally welcome., • Familiarity with GDPR, consent management and data governance in a marketing context., • Exposure to AI / ML use cases applied to customer data — personalisation models, churn prediction, LTV, next-best-action decisioning. Why this role matters This client is one of the most meaningful engagements in our portfolio — and the work has a direct line to our 2026 company objectives around revenue growth, gross margin and employee retention. The data and MarTech infrastructure you lead will profile, model and engage millions of customers in near real-time. You will join a business that is trading profitably for the first time in its history, in a pod that is central to that story, reporting to the Head of Technology and Product with the backing of One Silverbullet — not a fragmented capability team. If you want to build the Intelligence Layer for one of the UK's most loved hospitality brands — and grow a team of engineers while you do it — we'd like to talk. TEAM 6 Data Engineers REPORTS TO Head of Technology & Product About Silverbullet Silverbullet is a specialist boutique partner at the intersection of data, technology and customer marketing activation. We are not a full-service agency. We are not a technology vendor. We are the team brands and partners bring in when the gap between ambition and production needs closing. We work with some of the world's most recognisable brands — Heineken, Mars, Sony, easyJet, ITV and Flight Centre among them — building the data infrastructure, MarTech and CRM systems that power intelligent customer experiences. We don't sell outputs. We sell outcomes. And when we walk in, we tell clients what needs to happen — not what makes the most impressive slide. “We win as One Silverbullet, or not at all. Our value multiplies every time the data, tech, CRM and activation teams refer and build together.”

Senior Software Engineer | ~£950/day Outside IR35 | 6-months initial contract | London Industry: Trading Location: London Job Type: Contract - 6-month initial Our client is building the next generation of execution and order management (EMS/OMS) infrastructure for global commodities trading. You will join a small, fast-moving engineering team designing and delivering a cloud-native trading platform from the ground up, tightly integrated with risk, pricing, and market data systems to support high-performance trading environments. This is a senior, hands-on role for an engineer who wants end-to-end ownership — from low-level protocol integration through to distributed execution services and trader-facing tooling. What You’ll Be Doing • Design and build core components of a modern EMS/OMS platform, including order routing, order lifecycle management, venue connectivity, and execution analytics., • Implement and maintain FIX protocol and venue-specific integrations across exchanges, brokers, and liquidity providers in commodities markets., • Develop low-latency, distributed execution services with a strong focus on correctness, resilience, and performance under load., • Collaborate closely with traders, quants, and risk engineers to translate trading workflows and execution strategies into robust production systems., • Ensure seamless integration with risk systems, including pre-trade checks, position tracking, and post-trade processing. Requirements Essential • Proven experience building execution systems and/or order management systems in production., • Strong systems engineering fundamentals, including concurrency, distributed systems, networking, performance, and correctness under pressure., • Production experience in at least one of C++, Rust, or Python, with willingness to work across multiple languages., • Demonstrated ability to deliver production systems with a strong bias towards shipping, iteration, and user feedback., • Comfortable working in a collaborative environment with direct engagement between engineers, traders, and quants., • Experience working in cloud-native environments, particularly Kubernetes-based architectures., • Familiarity with distributed data and event-driven systems (e.g. Kafka-style messaging patterns)., • Experience with observability, monitoring, testing, and production incident response in live systems. Highly Desirable • Experience in commodities markets (energy, metals, agriculture, freight) or other complex, multi-venue asset classes., • Deep understanding of the FIX protocol, including session handling, message customisation, and venue-specific behaviour., • Experience with algorithmic trading systems, smart order routing, or execution algorithm development., • Exposure to real-time risk systems, including pre-trade controls and position/PnL infrastructure., • Experience with columnar databases such as ClickHouse.

About the Role We are seeking a Senior Full-Stack Engineer to join our team and help build the next generation of AI solutions. This is a unique opportunity to be a key technical contributor in a fast-paced, innovative environment where you'll wear many hats and have significant impact on our product and engineering culture. As a full-stack engineer, you'll work across the entire technology stack—from backend services and data pipelines to infrastructure and deployment. You'll collaborate closely with the engineering team to architect, build, and scale our micro-services based platform while maintaining high code quality and operational excellence, utilising AI to maximise software development productivity. About Prolo Prolo is building an AI-powered procurement platform for the construction industry, which is one of the oldest and least digitised sectors in the world. The core system ingests unstructured purchase orders and transforms them into structured materials data, integrating with a network of suppliers and logistics partners to automate quoting, sourcing, and fulfilment workflows. What We're Building We're building a sophisticated AI platform that leverages graph databases, machine learning, and modern cloud infrastructure to deliver intelligent procurement and customer service solutions. Our stack includes: • Backend Services: Python 3.13, FastAPI, async micro-services architecture, • Data Layer: Neo4j graph database, PostgreSQL, complex data modelling, • AI/ML: OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction, • Infrastructure: AWS (Lambda, ECS/EKS, API Gateway, S3), • DevOps: Terraform, GitHub Actions, Helm, Infrastructure-as-Code, • Data Science: Graph analytics, data pipelines, ETL workflows, Jupyter notebooks Required Qualifications Software Development • 5+ years of professional software engineering experience, • Strong proficiency in Python (3.10+) with deep understanding of async programming, • Experience with Poetry or similar Python dependency management tools, • Experience building RESTful APIs and micro-services, • Solid understanding of database design and optimisation (both SQL and NoSQL), • Experience with graph databases (Neo4j preferred) or willingness to learn quickly, • Knowledge of event-driven architectures and message queues, • Knowledge of API design principles, data validation, and serialisation, • Experience with observability tools (OpenTelemetry, Prometheus, Grafana), • Experience with AWS Lambda and serverless architectures, • Experience working across the stack (backend + some frontend), • Understanding of web technologies, HTTP, and API integrations, • Ability to contribute to responsive frontend code when needed, • Hands-on experience using AI-assisted development tools (e.g. Cursor, GitHub Copilot) including prompt engineering, context management, and evaluating AI-generated code critically, • Familiarity with agentic coding workflows — using AI agents to scaffold, refactor, test, and document code autonomously DevOps & Infrastructure • Hands-on experience with cloud platforms (AWS preferred), • Experience with containerisation (Docker) and orchestration (Kubernetes), • Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar), • Experience setting up CI/CD pipelines, • Understanding of service deployment, monitoring, and troubleshooting Data Science/Analytics • Experience with data analysis using Python (pandas, numpy), • Understanding of data pipelines and ETL processes AI/LLM Engineering • Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production applications, • Understanding of core LLM concepts: context windows, token limits, temperature, system prompts, and model selection trade-offs, • Experience with prompt engineering techniques — few-shot prompting, chain-of-thought, structured output, and instruction tuning, • Practical knowledge of RAG (Retrieval-Augmented Generation) architectures, including chunking strategies, vector embeddings, and similarity search, • Familiarity with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar, • Experience designing and building agentic systems — tool-calling agents, multi-step reasoning, and human-in-the-loop workflows, • Understanding of MCP (Model Context Protocol) or similar standards for connecting AI models to external tools and data sources, • Knowledge of LLM evaluation methods — measuring accuracy, hallucination, latency, and cost, • Awareness of responsible AI practices: bias, safety, output validation, and guardrails in production systems, • Experience managing LLM costs and optimising for latency vs. quality trade-offs in real deployments Soft Skills • Wearer of Many Hats: Comfortable switching contexts and working across different domains, • Self-Starter: Ability to work independently and take ownership of projects, • Problem Solver: Strong analytical and debugging skills, • Collaborative: Excellent communication skills and ability to work in a small team, • Adaptable: Comfortable with ambiguity and rapid iteration, • Mentoring: Able to mentor less-experienced Software Engineers. Nice-to-Have Qualifications • Experience with FastAPI or similar async Python web frameworks, • Experience with Neo4j or other graph databases, • Experience with graph algorithms and network analysis, • Experience with Helm and Kubernetes operators, • Background in data science, statistics, or scientific computing, • Experience with graph analytics or network analysis, • Experience with Apple and Google App Stores, • Experience in early-stage startups What We Offer • Impact: Direct influence on product direction and technical decisions, • Growth: Opportunity to work across the entire stack and learn new technologies, • Ownership: Take ownership of features from conception to deployment, • Flexibility: Hybrid, remote-friendly work environment, • Equity: Meaningful equity stake in the company, • Learning: Access to cutting-edge technologies and challenging problems How to Apply Please submit: • Your resume/CV, • A brief cover letter explaining why you're interested in this role, • Links to your GitHub profile or relevant code samples, • Any relevant projects or work that demonstrates your experience We're particularly interested in candidates who can demonstrate: • Experience building scalable backend systems, • Ability to work across multiple domains (backend, DevOps, data), • Examples of taking projects from idea to production, • Contributions to open source or personal projects Note: Prolo is a startup with a small engineering team, which means you'll be expected to be versatile, proactive, and comfortable with ambiguity. If you're excited about building something from the ground up and working across the entire technology stack, we'd love to hear from you.

Senior Data Engineer Build the engine behind next-generation trading analytics This is an opportunity to work on a high-impact data platform that turns complex trading data into powerful, actionable insight. You’ll be building a cutting-edge analytics engine used to evaluate performance, surface opportunities, and power smarter decision-making through data products, dashboards, and machine learning. This isn’t just pipeline work, it’s about shaping how data drives strategy. You’ll join a highly collaborative team of Data Engineers, Analytics Engineers, and Data Scientists who own everything end-to-end, from infrastructure through to advanced analytics. If you enjoy working close to the problem, not just the data, this role puts you right at the centre of it. What you’ll be doing • Own and scale core data pipelines powering a high-performance analytics platform, • Turn complex, real-world problems into clean, efficient data models and calculations, • Design and build within a modern lakehouse/data platform architecture, • Develop APIs and data products used by internal and external stakeholders, • Bring structure to messy, real-world data through normalisation and integration, • Work with large-scale, high-volume datasets where performance matters, • Help shape how the team builds, by driving best practices in:, • Testing, • CI/CD, • Version control, • Contribute to the user-facing side of analytics, influencing how insights are delivered What you bring • Strong experience building cloud-based data platforms (Snowflake or similar), • Advanced skills in Python or Rust, and SQL, • A track record of building scalable, production-grade data pipelines, • Hands-on experience with DBT and modern data transformation workflows, • Confidence working with complex, high-volume datasets, • A mindset for clean, reliable engineering with tools like:, • Docker / containerisation, • Git, • CI/CD pipelines, • Familiarity with data visualisation tools (Tableau, Power BI, or similar) Nice to have • Experience in trading, financial services, or data-heavy environments, • Exposure to real-time data or machine learning in production

Senior Data Engineer We’re looking for a Senior Data Engineer to lead the design and delivery of scalable, high-quality data integrations across our organisation. In this role, you’ll take ownership of building reliable, governed integration workflows using Azure Logic Apps and a range of modern Azure services—helping ensure data flows seamlessly, securely, and efficiently across the business. You’ll play a key role in shaping our integration landscape, driving continuous improvement, championing DevOps best practices, and mentoring junior engineers to uphold high engineering standards. This is a remote position, with travel to Portsmouth and London as required (circa once per month), including at least one monthly team-facing day in London. This senior role covers all integration pipelines and automations that support data movement across Bell. You will design, implement, and optimise integration workflows using Azure services, Logic Apps and Microsoft Fabric, ensuring governance, quality, and scalability in all integration processes. As a Senior Data Integration Engineer, you will work closely with the Data and Analytics Team, and stakeholders across the business to ensure seamless data accessibility and usage across the organisation. Role • Design, develop, and maintain scalable, robust data integrations using Azure Logic Apps, Azure Storage Accounts, Azure API Management, Microsoft Fabric, and other Azure services, • Implement integration patterns such as event-driven workflows, API-based integrations, and scheduled orchestrations, • Ensure high availability, scalability, and security of integration workflows, • Collaborate with IT and system users to understand business requirements and ensure data accessibility and integrity, • Monitor integration solutions, troubleshoot failures, and proactively improve reliability, • Lead continuous improvement initiatives, driving adoption of best practices and emerging Azure integration technologies, • Support DevOps processes using Azure DevOps for CI/CD automation, version control, and deployment of Azure resources, • Provide technical guidance and mentoring to junior team members to support their development and uphold best engineering standards, • Ensure data security and compliance with industry standards and regulations, such as GDPR, • Document data processes and workflows for both technical and non-technical audiences The Person • Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related field, • 5+ years of experience in data integration, automation, or data engineering roles, • 3+ years hands-on experience using Azure Logic Apps (essential), though Power Automate experience will be considered, • Strong experience working with Azure services such as Storage Accounts, Key Vault, Azure Functions, and API Management, • Experience developing analytics solutions using Microsoft Fabric or comparable Azure PaaS services (Azure Data Factory, Synapse, etc.), • Experience building and deploying Azure solutions using Azure DevOps pipelines and ARM/Bicep/Terraform templates, • Proficiency with REST APIs, authentication methods (OAuth, Managed Identities), and system-to-system integration patterns, • Knowledge of data modelling techniques and best practices, • Proven track record of mentoring junior team members, with a desire to take on future line management responsibilities, • Experience with Purview and Power BI (desirable, not essential), • Relevant certifications are desirable, including:, • DP-203 Azure Data Engineer, • DP-600 Fabric Analytics Engineer Associate, • AZ-900 Azure Fundamentals, • DP-900 Azure Data Fundamentals, • Strong problem-solving skills with attention to detail and the ability to troubleshoot complex data issues, • Excellent communication and collaboration skills, with the ability to work across teams to deliver solutions that meet business needs

About Us: We are one of the world’s leading commodities trading houses, leveraging sophisticated technology to trade a broad range of energy, metals, and agricultural commodities globally. Our success is driven by cutting-edge analytics, high-frequency data processing, and a commitment to innovation. We are now looking for a Senior Python Engineer to join our dynamic team in London and drive our next wave of technological advancements. Role Overview: As a Senior Python Engineer, you will be at the heart of our technology platform, building robust systems that enhance our trading strategies, risk management, and data analysis. You will collaborate closely with quants, data scientists, and traders, providing Python-based solutions that directly impact the profitability of the business. This is an exciting opportunity to work in a fast-paced, high-performance environment where you can push the boundaries of technology in financial markets. Key Responsibilities: • Design, develop, and maintain highly efficient Python-based applications for commodities trading, risk management, and real-time data analysis., • Build scalable, high-performance data pipelines to process large datasets from multiple sources, including real-time market data and fundamental data., • Implement robust APIs and microservices to integrate trading systems, analytics platforms, and external data providers., • Optimize performance and scalability of existing systems, ensuring low-latency trade execution and real-time risk monitoring., • Collaborate with quants and traders to prototype and implement algorithms that enhance trading strategies and position management., • Lead code reviews, enforce best practices, and mentor junior developers to foster a culture of excellence., • Work in a collaborative, agile team environment to rapidly develop and iterate on new features and tools. Qualifications: • 5+ years of professional experience in Python development, with a focus on building performant, scalable systems., • Deep understanding of core Python, including its strengths in data manipulation, asynchronous programming, and performance optimization., • Experience with distributed systems, parallel computing, and high-performance processing of large datasets., • Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/NoSQL databases., • Proven experience working in fast-paced environments, ideally within trading, financial services, or high-frequency environments., • Proficiency in developing RESTful APIs, microservices, and working with cloud-based architectures (AWS, GCP, or similar)., • Expertise in testing frameworks, CI/CD, and containerization technologies such as Docker or Kubernetes., • Experience in managing and deploying services in Linux/Unix environments., • Strong analytical and problem-solving skills, with a keen attention to detail and an ability to thrive under pressure., • Fluency in English is required. Preferred Skills: • Experience in commodities markets or broader financial markets., • Knowledge of quantitative modeling, risk management, or algorithmic trading., • Familiarity with big data technologies like Kafka, Hadoop, Spark, or similar. Why Work With Us? • Impactful Work: Directly influence the profitability of the business by building technology that drives trading decisions., • Innovative Culture: Be part of a culture that embraces new ideas, cutting-edge tools, and continuous improvement., • Competitive Compensation: Industry-leading salary, significant performance-based bonuses, and comprehensive benefits package., • Professional Development: Access to world-class learning and development resources, with opportunities for career growth., • Work-Life Balance: Flexible working arrangements, generous holiday allowances, and a strong focus on well-being.

Senior Data Engineer London Permanent – Hybrid Up to £140,000 A top tier trading environment where data drives real money decisions is hiring for a Senior Data Engineer. Engineers have trust, ownership, and real influence here working in a fast paced and performance led environment What you’ll have the Opportunity to do: As a Senior Data Engineer, you will have the following responsibilities: • Build and maintain data solutions that support pricing decisions, • Work hands on with SQL, Postgres, and Python, • Take ownership of data quality, performance, and reliability, • Partner closely with commercial teams on business critical problems, • Influence technical direction as the platform evolves, • Get exposure to AI initiatives with learning and development support About the Candidate The right Senior Data Engineer should have: • Strong experience with SQL, Postgres, and Python, • Background working with pricing or market driven data (commodities preferred), • Highly technical and comfortable owning complex data problems, • Confident working close to the business and explaining technical decisions, • Either experienced leading technically, or showing clear potential to step into leadership, • Curious, driven, and keen to keep learning — particularly around AI and emerging tech Nice to Have • Experience coaching or mentoring junior engineers and sharing knowledge, • Exposure to commodities, pricing, or financial market data, • Comfortable working closely with traders or commercial teams, • Familiarity with cloud platforms or modern data infrastructure, • Interest in AI, machine learning, or advanced analytics What’s in it for you? • Salary from £120,000-£140,000 + Bonus, • Hybrid Working Pattern, • Up to 33 days annual leave with UK Bank holidays included, • Extensive Benefits Package, • Continuous Training and progression opportunities provided To hear more about the Senior Data Engineer role contact Daire McIlhatton at

Are you a Data Engineer in finance looking to work on greenfield projects? This is an opportunity to join a global private equity firm that is taking a tech-first approach. You’ll be working as a Data Engineer, closely with stakeholders across both investments and technology. This is a hands-on role within the Data and Analytics team, where you’ll work directly with the investment team. You’ll be interfacing with the business regularly, so strong communication skills are important. Day to day, you’ll be working on data integration, building data ingestion pipelines, and driving automation across various greenfield projects. From a technical standpoint, you should have strong experience in Python and Databricks. Experience with React is a bonus. As part of the process, you’ll meet with the CTO, investment partners, and the data engineering lead, so prior financial experience is required to hit the ground running. This role is based in London. If you’re interested in learning more, apply or reach out directly at . No up-to-date CV required - we can work on that once we’ve spoken.

Analytics Engineer (Contract) £500/day (Outside IR35) | 6 Months | Hybrid (1–2 days per week in office) We’re working with a business looking for an Analytics Engineer to support the evolution of their data platform. This role sits between data engineering and analytics, ideal for someone who enjoys both preparing data and generating insights. Tech: SQL, dbt, Power BI (Azure a bonus, open to other clouds) What You’ll Be Doing • Prepare and transform data for analysis, • Build and optimise data models (dbt), • Write efficient SQL queries, • Deliver insights via Power BI, • Support data-driven decision making, • Help improve and mature the data platform What We’re Looking For • Strong experience as an Analytics Engineer or similar, • Strong SQL, dbt, and Power BI experience, • Experience across both data engineering and analytics, • Ability to work with stakeholders and translate insights, • Comfortable in a fast-paced environment If you enjoy both building and using data, this could be a great fit. Please apply below, message me directly, or email me at

Senior Backend Engineer DeFi Gobal (Remote) Plexus has partnered with a revenue-generating, all-in-one platform for on-chain trading, trusted daily by tens of thousands of active traders and built for the speed demands of high-frequency Solana trading. They are looking for a Senior Backend Engineer who brings deep DeFi engineering experience and thrives in a small, high-calibre team where their work genuinely moves the needle. Responsibilities: • Build ultra-low-latency backend services powering real-time trade execution on Solana., • Design and optimise APIs and database architecture for a high-frequency, large concurrent user base., • Work with Postgres and OpenSearch to deliver real-time trading data, token analytics, and market feeds., • Collaborate closely with Product, Design, and traders to ship reliable, fast, and scalable backend solutions. Requirements: • 3+ years of backend engineering experience with Node.js/Typescript., • Hands-on experience with Postgres and blockchain data systems., • Experience within a fast-past crypto or Web3 start-up environment., • Solana ecosystem experience is a plus. Benefits: • Up to $250,000 + bonus, • Fully remote If this sounds like you, reach out directly or apply via LinkedIn.

Software Engineer Tech Stack: C#, .NET, Python, AI Development, SQL, Azure London - Onsite Salary Range: £70,000 - £90,000 Harrington Starr has partnered with a boutique Investment Bank, with decades of experience and exceptional performance. They are currently seeking to hire a Polyglot Engineer possessing strong experience developing front office applications and systems, written in C# and Python. If you have a deep interest working with modern technologies, building reliable business applications this could be the role for you. Responsibilities: • Design and develop new front office application utilising C#, .NET, Python, • Working on internal systems to maintain quality and standards, • Utilising historical data for analytics, automation and strategic decision making, • Integration of modern technologies and use of AI, • Daily interaction to quickly solve any issues for front office Benefits: • The ability to convert essential business needs and support front office functions, • Excellent base salary up to £90,000 based on experience and domain knowledge, • Exceptional bonus and benefits (health and dental care, life insurance), • Working flexibility Key Requirements: • BSc Computer Science or related Mathematical degree, • Excellent knowledge and experience developing with C#, .NET, Python, • Good experience developing front office systems, interacting with various stakeholders, • Excellent communication, • Strong commercial development experience with AI technologies, • Un-restricted right to work in the UK If you would like to book in a confidential phone call to discuss this opportunity in further detail, please apply below or send through a copy of your up-to-date CV via email to

I’m currently working with a London-based fintech / data business hiring a Data Engineer to join a high-impact team building modern data infrastructure and analytics products around complex, high-volume datasets. This is a strong opportunity for someone who enjoys owning production pipelines properly end-to-end in production, rather than just building transformations in isolation. What you’ll be doing: • Building and maintaining production-grade data pipelines in Python, • Onboarding and integrating new data sources, • Designing and optimising transformations using a modern columnar stack, • Owning data quality, monitoring/alerting, reruns/backfills and operational robustness, • Working closely with a small team in an environment where you can genuinely influence how things are built What they’re looking for: • Strong Python and SQL, • Hands-on experience with Polars, Parquet and/or Arrow/PyArrow, • Experience owning pipelines in production end-to-end, • A strong engineering mindset around reliability, observability and delivery, • Ability to work independently and help drive things forward Nice to have: • Time-series, high-volume or event-driven data experience, • Orchestration exposure such as Airflow, Dagster, Prefect, Temporal or similar, • Finance or market data experience Details: • Permanent role, • London / hybrid, • Small, technically strong team, • Salary flexible depending on fit and level If this sounds like you, or you’d be open to hearing more, feel free to apply or message me directly.

Senior Platform Engineer | DV Cleared | MOD Programmes SR2 are partnering with a major technology consultancy supporting critical MOD and defence transformation programmes across highly secure environments. This is a hands-on platform engineering opportunity working across cloud and on-prem environments, helping deliver large-scale MOD platform and data capabilities. • Location: London (West London MOD site near Hounslow) or Corsham MOD site, • Travel: Expected onsite presence 4-5 days per week-, • Salary:Corsham / Outside London: £70,000-£75,000+, • London: £75,000-£85,000+, • Additional: £500/month DV bonus, • Clearance: Active MOD-held DV required Key environment and project themes include: • AWS cloud platform engineering, • On-prem to AWS migration programmes, • CI/CD pipeline engineering, • Kubernetes and container platforms, • Prometheus & Grafana monitoring, • Infrastructure automation and scripting, • Secure MOD cloud environments, • Defence Data Analytics Platform (DDAP) related work The team are looking for engineers who are genuinely platform-focused rather than traditional infrastructure engineers. You’ll ideally bring: • Strong Platform or DevOps engineering background, • AWS experience (Azure acceptable if AWS exposure exists), • CI/CD pipeline build experience, • Kubernetes, observability and automation exposure, • Strong stakeholder communication skills, • Mentorship or informal leadership experience, • Experience within MOD, defence or national security environments This is a strong long-term opportunity within a technology-first consultancy investing heavily into defence, offering clear progression into technical leadership, architecture or management pathways over time.

Senior Data Engineer (12M FTC) | Investment Data Transformation Own the data engineering capability for a world-class investment platform We’re hiring a Senior Data Engineer to join a high-performing Investment Data & Operations team with one of our client organisations, delivering a major data transformation programme across a complex, multi-asset portfolio. You’ll act as the go-to technical lead for investment data, owning pipeline architecture, driving automation across operations, and ensuring data is reliable, scalable, and decision-ready. 🔧 What you’ll be doing • Own the end-to-end data pipeline ecosystem (APIs, integrations, data flows across multiple platforms), • Define and implement data architecture, standards, and governance frameworks, • Build and scale robust, production-grade pipelines supporting reporting & analytics, • Drive automation across investment operations — removing manual, spreadsheet-heavy processes, • Develop dashboards, reconciliation tools, and operational intelligence solutions, • Partner with data, tech, and investment teams to deliver real business impact 🎯 What we’re looking for • 5–10+ years’ experience in data engineering within asset management / financial services, • Strong Python & SQL — you’ve built and owned pipelines in production, • Proven experience designing data architecture and integration frameworks, • Track record of automating operational workflows end-to-end, • Strong understanding of investment data (portfolios, transactions, valuations, performance), • Comfortable leading from the front — owning delivery, influencing stakeholders, and setting direction 💡 Why this role? • High ownership — you’ll define how data engineering is done in the investment function, • Transformation-focused — real opportunity to modernise systems and workflows, • Senior visibility — work directly with investment, operations, and tech leadership 💰 Package • Competitive day rate / salary range (depending on experience), • 12-month fixed-term contract with high potential for extension, • Opportunity to work on a major data transformation programme within a highly regarded investment environment If you’re a hands-on senior engineer who enjoys building, owning, and transforming — this is a standout opportunity.

🐍 Python Engineer 📍 London (Hybrid) 💷 Up to £180,000 + Bonus + Full Benefits 🚀 The Opportunity Join a leading global hedge fund where technology sits at the core of trading strategy and performance. As a Python Engineer, you’ll work directly with Portfolio Managers, Quants, and Analysts to build high-performance tools and platforms that power real-time investment decisions and directly impact P&L. This is a hands-on, front-office role with immediate visibility and influence. 🔧 What You’ll Do • Design, build, and maintain Python-based trading and research infrastructure, • Develop bespoke analytics and visualisation tools in close partnership with investment teams, • Optimise data pipelines, automate complex workflows, and enhance system efficiency 🌟 Why This Role Stands Out 💼 Front-Office Exposure – Work side-by-side with PMs and Quants on live strategies ⚡ High Impact – Build systems that directly influence trading performance 🤝 Agile, Elite Team – Collaborative, low-ego, high-calibre environment 💰 Top-Tier Compensation – Strong base, performance-driven bonuses, and clear progression ✅ What You Bring 🎓 Degree in Computer Science, Engineering, Mathematics, or a related field 💻 Strong Python experience in high-performance or data-intensive environments 📊 Understanding of financial markets (equities, fixed income, or derivatives is a plus) 🧠 Excellent problem-solving skills with the ability to communicate across technical and non-technical teams If you’re a Python Developer looking to take on a front-office role with direct impact, we’d love to hear from you. Apply now or reach out directly:

We are seeking an exceptional C++ Engineer to join one of the world's most advanced high-frequency trading firms. This is a rare opportunity to work at the intersection of cutting-edge technology and global financial markets, where performance is measured in nanoseconds and innovation drives competitive advantage. You'll be part of a team that designs and builds ultra-low latency trading systems deployed across global exchanges. Your work will directly impact trading performance, and you'll be empowered to push the boundaries of what's possible in software and hardware optimisation. Key Responsibilities • Architect and implement high-performance C++ systems with extreme latency sensitivity., • Optimise every layer of the stack - from CPU cache and memory allocation to kernel bypass and network I/O., • Collaborate with traders, quants, and infrastructure engineers to deliver robust, scalable, and lightning-fast trading solutions., • Profile, benchmark, and tune systems using advanced tooling and custom diagnostics., • Contribute to the design of proprietary protocols, lock-free data structures, and real-time analytics pipelines. Ideal Candidate • Expert-level proficiency in modern C++, with a deep understanding of low-level systems programming., • Strong grasp of computer architecture, concurrency, and performance engineering., • Experience with kernel bypass technologies (e.g., DPDK, Solarflare/OpenOnload) and high-performance networking., • Familiarity with Linux internals, NUMA, CPU affinity, and custom memory management., • Proven track record of building latency-critical systems in trading, gaming, or telecom environments., • Bonus: Experience with FPGA acceleration, RDMA, or custom NIC firmware. Why Apply? • Work with some of the fastest systems and smartest minds in the industry., • Direct impact on trading performance and strategy execution., • Access to bespoke infrastructure, bleeding-edge hardware, and proprietary tooling., • Culture of excellence: flat structure, minimal bureaucracy, and relentless focus on performance., • Compensation at the top end of the market, with significant upside tied to impact. Apply Now!

Job Title: Frontend Engineer – React / TypeScript / Next.js Location: London (Hybrid – 2‑3 days in office) Salary: £70,000 – £75,000 + Equity About the Company You’ll join a fast‑scaling SaaS business that’s redefining how enterprise sales teams operate. Their platform uses advanced AI and deal‑intelligence to unlock hidden insights, streamline workflows and elevate team performance. Backed by top investors, the team is lean, ambitious and focused on real‑world impact, yet technically deep and product‑led. About the Role You will help shape the front end of a high‑impact product used by enterprise customers, using React, TypeScript, and Next.js. You’ll work across the full front‑end life cycle — from architecture and design collaboration, through to deployment and optimisation — delivering robust, performant, and accessible user interfaces. You’ll join a highly collaborative team where your voice will matter, and your work will be visible at scale. What You’ll Do • Build and maintain modern web applications using React, TypeScript, and Next.js., • Translate UI/UX designs into responsive, accessible and high‑performance user interfaces., • Collaborate strategically with backend engineers, product owners and designers to deliver end‑to‑end solutions., • Write clean, tested, maintainable code and set best‑practice standards for the front‑end., • Optimize web performance, accessibility (WCAG), responsiveness, and the user experience., • Participate in agile rituals and help take ownership of features from conception to deployment and monitoring. What We’re Looking For • Strong production experience with React, TypeScript and Next.js., • Excellent skills in HTML5, CSS3, and modern JavaScript (ES6+)., • Proven experience with state‑management libraries (e.g., Redux, Zustand)., • Solid experience integrating front‑end apps with RESTful APIs, (GraphQL is a bonus)., • Experience with testing frameworks (e.g., Jest, React Testing Library)., • Comfortable with CI/CD pipelines, version control (Git), modern build tools and an eye for performance optimisation., • Strong understanding of scalable front‑end architecture, responsive design, accessibility standards and code maintainability. Nice to Have • Experience with server‑side rendering or static site generation (Next.js)., • Exposure to AI/ML integrations or advanced analytics in a front‑end context., • Familiarity with GraphQL or micro‑frontend architectures or enterprise‑grade front‑end tooling. What We Offer • Salary: £70,000 – £75,000 + equity participation., • Hybrid working model: 2‑3 days per week in a London‑based office, blended with remote work., • Opportunity to join a high‑growth technology company at a stage where your contributions will be visible and valued., • Working with cutting‑edge technologies, a smart engineering team, and a product used by major enterprise customers., • Real ownership of your domain and career growth in a product‑led engineering culture.

Apache Spark Python AWS Cloud Data Pipelines A hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong analytical and engineering skills to deliver trusted, well-governed data assets in a modern, cloud-native environment. About Scrumconnect Scrumconnect is a leading UK technology consultancy delivering digital transformation across public and private sectors, contributing to over 20% of the UK's major citizen-facing public services. We specialise in cloud engineering, data platforms, and agile delivery, helping clients build scalable, secure, and user-centred digital solutions that create real impact. Active SC clearance is a mandatory, non-negotiable requirement. Candidates must hold current, in-date Security Check (SC) clearance at the time of application. Sponsorship is not available. Applications without active SC clearance will not be considered. Working arrangement: This role is hybrid. Candidates must be willing and able to travel to the London office three days per week. Remaining days may be worked remotely from anywhere in the UK. About the role You will work as a Data Engineer on a complex, cloud-based data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics, you will help deliver reliable, well-governed data assets to downstream users. You will apply strong data analysis skills to identify root causes of data issues, work with dimensional data models and slowly changing dimensions, and implement infrastructure as code using Terraform. Familiarity with DWP engineering best practices and the ability to translate customer expectations into applied technical functionality are key to success in this role. Key responsibilities Data pipeline development Build and maintain scalable data pipelines using Apache Spark and PySpark, processing and transforming large datasets across distributed cloud infrastructure. Workflow orchestration Configure and manage Apache Airflow DAGs for task orchestration, ensuring reliable scheduling, monitoring, and execution of data processing workflows. Root cause analysis Perform data analysis to identify and resolve root causes of pipeline failures and data quality issues - including reviewing EMR output logs and CloudWatch metrics. Data modelling Apply understanding of dimensional data models and slowly changing dimensions (SCD) to design and maintain well-structured, analytically trusted data assets. Infrastructure as code Provision and manage cloud infrastructure using Terraform. Containerise solutions using Docker and manage deployments through GitLab CI/CD pipelines and release tagging. Security & encryption Apply understanding of both Server Side and client-side encryption patterns within AWS. Work within IAM policies and data governance standards appropriate to a regulated government environment. Technical skills requiredLanguages & analytics • Python - primary language for pipeline development and data processing, • SQL - used for querying, transformation, and validation across data stores, • PySpark - for distributed data processing using Apache Spark on AWS EMR, • Apache Spark - understanding of distributed data processing architecture and execution, • Apache Airflow - configuring DAGs and managing task orchestration at scale, • Jupyter Notebooks - for exploratory data analysis and pipeline prototyping, • Understanding of dimensional data models and slowly changing dimensions (SCD Types 1, 2, 3), • Amazon EMR - running Spark workloads and reviewing output logs, • Amazon Athena - ad hoc querying of data in S3, • Amazon Textract and Comprehend - familiarity with AI/ML document extraction and NLP services, • AWS S3, IAM, CloudWatch, EC2, ECR - core platform services used day-to-day, • AWS console proficiency - navigating, configuring, and monitoring services, • Terraform - Infrastructure as Code for provisioning and managing AWS environments, • Docker - containerisation of data engineering solutions, • GitLab - source code management, CI/CD pipeline configuration, release tagging, and component versioning, • Familiarity with DWP engineering best practices PythonPySparkSQLApache SparkApache AirflowJupyter NotebooksDimensional modelling/SCDAWS EMRAmazon AthenaAWS S3AWS IAMAWS CloudWatchAWS EC2/ECRAmazon TextractAmazon ComprehendTerraformDockerGitLab CI/CDGitLab Tags

Senior Golang Developer - Kubernetes - Financial Services Excellent opportunity opens for an experienced Developer strong on Golang with experience in AWS and Kubernetes to join a highly regarded Financial Services entity's London office. You will act as the team lead and play a key role in building mission-critical financial applications that power trading, investment, and risk management systems across the firm. If you are passionate about working in a dynamic, fast-paced environment and are eager to apply your technical expertise to the financial services industry, this is the role for you. Key Responsibilities: • Design, develop, and maintain high-performance Back End services using GoLang to support financial applications and services, including trading platforms, investment systems, and risk management tools., • Build and deploy cloud-based solutions using Amazon Web Services (AWS), including services such as EC2, S3, RDS, DynamoDB, and Lambda to create scalable, reliable, and secure infrastructure., • Implement and manage containerized applications using Kubernetes, ensuring seamless orchestration, scaling, and resilience in a cloud environment., • Write clean, efficient, and well-documented code while following best practices for financial systems development, focusing on performance and security., • Collaborate with other development teams, business analysts, and stakeholders to define and refine requirements, and ensure that applications meet financial regulatory standards and business needs., • Optimize the performance of Back End services, ensuring low-latency responses and high availability, critical for financial services., • Implement CI/CD pipelines, automated testing, and monitoring systems to ensure the reliability and stability of production systems., • Proactively identify issues and bottlenecks in existing systems and propose solutions to improve the system's performance and scalability., • Proven experience (2+ years) in GoLang Back End development, with a strong focus on performance optimization and building scalable systems for high-volume, high-frequency financial applications., • Strong experience working with Amazon Web Services (AWS), including EC2, S3, RDS, DynamoDB, Lambda, and other cloud-native technologies., • Hands-on experience with Kubernetes for deploying, managing, and scaling containerized applications in a cloud environment., • Solid understanding of financial systems and services, particularly in areas such as trading platforms, investment management, and risk analytics., • Experience in building microservices architectures and working with APIs (RESTful, gRPC, etc.) to integrate various systems., • Strong knowledge of containerization (Docker) and continuous integration/deployment (CI/CD) practices., • Experience with database systems (relational and NoSQL) and working with financial data., • Familiarity with DevOps practices and tools to streamline the development life cycle, such as infrastructure-as-code (eg, Terraform or CloudFormation)., • Ability to troubleshoot and resolve issues in production environments, ensuring uptime and performance in high-pressure, mission-critical scenarios., • Excellent communication skills to collaborate effectively with cross-functional teams and stakeholders in a fast-paced financial environment., • Experience with serverless computing (AWS Lambda, etc.) to create efficient and scalable solutions., • Knowledge of financial industry regulations and standards, particularly around data security and privacy., • Familiarity with event-driven architectures or message queues (eg, Kafka, RabbitMQ) for Real Time data processing., • Experience with automated testing frameworks and continuous delivery tools like Jenkins, GitLab CI, or CircleCI. Golang Go AWS Kubernetes Terraform Bank Banking Finance Financial Services Crypto Blockchain Web3 Trading Exchange Digital Assets Hybrid Flexible Developer Software Engineer Backend Developer Golang Engineer Kafka Apache Kafka RabbitMQ AWS Lambda Cloud Platform

Digital Experience Engineer/DEX & Adoption Engineer Location: London Department: Digital Workplace 100% Remote London up to circa £90k + Benefits We're looking for a Digital Experience & Adoption Engineer to help build a modern, telemetry-driven Digital Employee Experience (DEX) framework that improves how users work across devices, applications, and collaboration tools. You'll engineer experience scoring, dashboards, self-healing automation, and digital adoption journeys that drive measurable improvements in the Digital Workplace. This role works closely with Operations, Automation, and Pre-Sales, delivering productised experience services that are proactive, data-driven, and continuously improving. What You'll Do • Deploy and configure DEM platforms such as SysTrack, Nexthink, or Aternity., • Build experience scoring models, KPIs, and XLA metrics across devices, applications, and user sentiment., • Develop self-healing automation using Power Automate, PowerShell, Intune remediations, and Graph API., • Deploy and integrate Digital Adoption Platforms (WalkMe/Whatfix) to guide users and drive Microsoft 365 adoption., • Build dashboards and analytics in Power BI for experience insights and XLA reporting., • Integrate telemetry, DAP, and Microsoft 365 data into a unified experience framework., • Produce engineering documentation, patterns, and standardised operating models for DEX and XLA., • Hands-on experience with DEM tools (SysTrack, Nexthink, Aternity)., • Ability to build dashboards, KPIs, and experience scoring that drive measurable outcomes., • Skilled in automation (Power Automate, PowerShell, Intune Remediation, Graph API)., • Experience deploying or configuring Digital Adoption Platforms (WalkMe, Whatfix)., • Strong analytical mindset with the ability to turn telemetry into actionable improvements., • Excellent documentation and standardisation skills. Strongly Preferred: • WalkMe or Whatfix Academy certification, • Power BI/data visualisation certifications, • Microsoft 365 adoption or change management certifications, • Shape the future of Digital Employee Experience across a global Digital Workplace platform., • Work with cutting-edge DEM, automation, and DAP technologies., • Help build a telemetry-led, self-healing, user-centric service model.

• Senior C++ Software Engineer - Systematic Trading, • 12-month contract - £600 to £850/day (Inside IR35) You will be instrumental in ensuring ultra-low latency, deterministic performance, reliability, and scalability while shaping the next generation of our systematic and algorithmic trading systems. What You'll Work On Exchange Connectivity • Develop software that interacts with major global futures exchanges using native APIs & protocols (FIX, WebSocket, HTTP)., • Maintain and extend testing suites ensuring robust, consistent connectivity., • Optimise exchange communication through Kernel bypass, TLS tuning, and advanced networking techniques., • Study and align with detailed exchange behaviours and microstructure., • Build and enhance systematic trading strategies from quant and trader requirements., • Improve performance, reliability, and stability of the systematic and algorithmic trading engines., • Enhance monitoring, observability, and analytics for Real Time trading operations., • Diagnose and resolve production issues (crashes, logic inconsistencies, latency bottlenecks)., • 5+ years post-graduation C++ in financial markets, ideally in high-performance, low-latency environments., • Strong background in multi-threaded, asynchronous, and distributed systems., • Deep knowledge of algorithms, data structures, and performance optimisation., • Understanding of the full exchange-traded derivatives life cycle., • Strong Scripting & automation skills (Python, PowerShell, C#, SQL, etc.)., • 8+ years in Trading, Systematic Trading, Capital Markets, or Investment Banking environments., • Familiarity with global futures exchanges and their native protocols., • Exposure to systematic or quantitative trading environments highly desirable.

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.

Analytics Engineer – 12 month FTC Up to £67,000 London (hybrid) This is a great opportunity for an Analytics Engineer to join a growing Analytics Engineering function at an important stage of its development. You will work on a large-scale Lakehouse programme, building high‑quality analytics layers and developing your technical skills while contributing to meaningful data products used across the business. The Company: They are a large, complex organisation continuing to invest heavily in their enterprise data platform. Analytics plays a key role in decision‑making, with ongoing growth in engineering capability and the Lakehouse environment. You’ll join a collaborative and supportive analytics function that works closely with Engineering, BI and the wider business, offering exposure to modern data tooling and best practices in a scaled environment. The Role: • Build and maintain curated (Gold) data models within a Lakehouse architecture, • Develop analytics‑ready datasets that power trusted reporting and dashboards, • Translate business requirements into well‑structured SQL and PySpark transformations, • Contribute to data modelling decisions across multiple business domains, • Apply data quality checks, testing and performance best practices to pipelines, • Work within existing CI/CD processes and contribute to improving engineering standards, • Collaborate closely with Data Engineers, BI teams and stakeholders to deliver robust data products, • Learn from and be supported by more senior Analytics Engineers within the team Your Skills & Experience: • Commercial experience as an Analytics Engineer or in a similar data-focused role, • Solid data modelling skills, including experience with dimensional models, • Hands‑on experience writing PySpark in a Lakehouse or big data environment, • Strong SQL skills for building and maintaining transformation logic, • Experience working with Databricks or similar modern data platforms, • An engineering mindset with attention to data quality, reliability and maintainability, • Comfortable working with both technical teams and business stakeholders, • Keen to develop your technical depth and grow within an analytics engineering function

Job Title: Senior Systems Engineer (eDV Clearance required) Location: Hybrid In London Employment Type: Permanent Salary: Up to £98,000 + package Start Date: Immediate Industry: IT Services & Consulting We’re supporting a specialist consultancy delivering cutting-edge programmes across the UK Defence and National Security space. They’re looking for a Senior Systems Engineer to lead the delivery of complex, mission-critical systems across secure environments. This is a high-impact role where you’ll bridge strategy and engineering - shaping solutions that integrate cloud, data, and AI technologies into secure, safety-critical systems. Senior Systems Engineer – Key Responsibilities • Leading end-to-end systems engineering lifecycle (V-Model / CADMID), • Providing technical oversight across architecture, integration, and delivery, • Supporting the transition from legacy systems to cloud-native solutions, • Working closely with senior stakeholders across government and defence, • Driving engineering governance, assurance, and compliance, • Supporting integration of AI/ML and data-driven platforms in secure environments Senior Systems Engineer – Key Skills Required • Must hold live and active Enhanced DV clearance (DV considered), • Strong background in Systems Engineering within defence / secure environments, • Proven experience across the full V-Lifecycle (requirements → integration → delivery), • Experience working with cloud platforms (AWS, Azure, or GCP), • Knowledge of DevSecOps and modern delivery practices, • Familiarity with MODAF / TOGAF or similar architecture frameworks, • Strong understanding of Defence standards, ISO frameworks, and governance, • Experience engaging with senior stakeholders (MOD, DE&S, government bodies) Nice to have: • Experience with AI / Machine Learning systems, • Exposure to Big Data platforms and analytics environments, • Experience working across hybrid cloud architectures, • Background in Scaled Agile (SAFe) or hybrid delivery models Please note that all applicants must hold live and active UK eDV clearance given the secure nature of the organisation. In some cases DV clearance may be acceptable. Please apply now if this role is of interest.

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.

Role Title Production Support Palantir Data Engineer Business Unit / Segment Analytics / Data Management / Insurance Location London, United Kingdom Employment Type Permanent – immediate start preferred Role Overview We are looking for an experienced Palantir Data Engineer to provide production support for data pipelines, AI‑enabled workflows, and applications built on Palantir Foundry. This role is focused on ensuring the stability, availability, and performance of production data systems by proactively monitoring workflows, resolving incidents, and supporting operational excellence across the Foundry platform. You will work closely with data engineers, platform teams, and business stakeholders to troubleshoot issues, debug AI model outputs, and continuously improve system reliability in a live production environment. Key Responsibilities As part of this role, you will: • Provide production support for Palantir Foundry components including pipelines, Ontology, AIP Logics, API integrations, and applications, • Monitor end‑to‑end workflows, identify failures, and resolve issues within agreed service levels, • Troubleshoot data ingestion, extraction, transformation, and orchestration issues across complex pipelines, • Collaborate with cross‑functional teams to resolve production incidents and improve overall system stability, • Perform root cause analysis (RCA) and implement preventative and corrective measures, • Manage and maintain data quality checks to ensure data integrity across production systems, • Support deployments, release management, and ongoing environment maintenance Essential Skills • Strong hands‑on experience with Palantir Foundry, including Code Repositories, Workshop, AIP Logic, and Automate, • Proficiency in Python and PySpark or TypeScript, • Experience working with AWS services such as S3, Lambda, Glue, and related data services, • Solid understanding of data pipeline architectures, ETL processes, and production data workflows, • Proven experience working in production support or operational data engineering environments, • Familiarity with Generative AI–enabled workflows, API integrations, and orchestration patterns, • Additional experience with Foundry, AIP, and PySpark, • Knowledge of monitoring, alerting, and logging tools and frameworks, • Exposure to TypeScript/React for Workshop applications and workflow orchestration, • 5+ years of experience in Data Engineering, with demonstrable experience in production support roles, • 2+ years of hands‑on experience delivering and supporting solutions on Palantir Foundry

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

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.

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

Senior Data Engineer London £65-85k + 15% bonus A London-based software company on a mission to make data work smarter. Their products power thousands of businesses, and as they grow, they’re building a data stack that scales with their ambition. They’re looking for a Data Engineer who’s excited about designing modern data systems, experimenting with new tech, and helping shape how data flows through everything they build. What You’ll Do • Build and own data pipelines that connect product, analytics, and operations, • Design scalable architectures using tools like dbt, Airflow, and Snowflake / BigQuery, • Work with engineers and product teams to make data easily accessible and actionable, • Help evolve their data warehouse and ensure high data quality and reliability, • Experiment with automation, streaming data, and ML-ready datasets, • Influence technical decisions across the stack — they love new ideas What You Bring • Hands-on experience in Python and SQL, • Experience with modern data tools (dbt, Airflow, Prefect, Dagster, etc.), • Knowledge of cloud platforms like AWS, GCP, or Azure, • An understanding of data modelling and ETL best practices, • Curiosity, creativity, and a mindset that thrives in fast-moving environments Why You’ll Love It • Work on meaningful data challenges that directly impact their products, • Small, high-impact team with room to experiment and grow, • Hybrid setup with a central London HQ, • Competitive pay, generous (and achievable bonus), and genuine flexibility, • A team that actually cares about building great tech If you love solving tough data problems and want to help shape the data culture of a growing software company, they’d love to meet you.

Senior Data Analyst (12-Month Fixed Term Contract) London Area, Hybrid We are looking for an experienced Senior Data Analyst to join our team on a 12-month contract to cover maternity leave. 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.

Analytics Engineer required by a global, high-growth multichannel retailer to join a small, high-impact data team The Analytics Engineer will: • Sit at the heart of the data team, bridging engineering rigour with real commercial thinking, • Own data modelling and transformation in dbt, ensuring clean, well-documented, reusable models that power dashboards and reporting across the business, • Manage data ingestion from third-party sources via connector platforms and custom Python scripts, • Optimise our GCP/BigQuery platform for cost, performance and reliability, • Build dashboards and reports end-to-end, taking full ownership of your own use cases, • Champion data quality, testing and governance frameworks across the team, • Work directly with stakeholders across retail, finance, merchandising, ops, growth and e-commerce - translating business questions into well-structured data products We’re looking for someone who combines solid technical skills with the ability to communicate confidently with non-technical people, scope briefs independently and think from a business perspective first. You'll be the only Analytics Engineer in the team, so autonomy and commercial curiosity matter as much as your SQL. What we're looking for: • Experience as an Analytics Engineer, Data Engineer or similar, • Strong SQL skills and hands-on experience with dbt, • GCP and BigQuery experience, • Familiarity with BI tools (, • Experience managing data ingestion pipelines, • Excellent stakeholder communication skills — comfortable with technical and non-technical audiences alike, • Retail, DTC or ecommerce background strongly preferred, • Candidates come from roles like The Analytics Engineer will join a growing data team, with a broad impact across the business. You’ll get space to experiment, autonomy to manage your time, and the chance to work on high-impact projects—from day-to-day operations through to cutting-edge AI innovation. Analytics Engineer London / hybrid – 2 days in office c. £65k + bonus + benefits

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.

Data Engineer (Palantir, AI & Advanced Analytics) London | Permanent | Hybrid Working Our client is a fast‑growing technology and AI consultancy that helps organisations solve complex data challenges across government and enterprise environments. The firm specialises in delivering Palantir‑led data platforms and decision‑intelligence solutions, supporting clients to unify fragmented data, build operational workflows, and enable informed decision‑making in mission‑critical settings. As a Data Engineer, you will work at the intersection of software engineering, analytics, and AI‑enabled consulting. This is a hands‑on role where you’ll design and build solutions using Palantir technologies, develop scalable data pipelines and workflows, and support advanced analytics and AI use cases deployed in real‑world operations. The team is growing across multiple levels, from Junior through to Senior Manager, offering clear pathways for both technical growth and leadership development. You’ll have the opportunity to: • Design and deliver data‑driven solutions to complex client challenges, • Build and maintain scalable data pipelines and ETL processes, • Engineer data workflows and decision‑support tools on Palantir platforms, • Work on applied AI and machine‑learning use cases, • Deliver Palantir implementation and advisory work across enterprise clients, • Combine software engineering expertise with strategic problem‑solving, • Work directly with clients across government, defence, health, and commercial sectors, • Share knowledge and contribute to capability development across the engineering community Your Responsibilities As a Data Engineer, you will: • Translate complex client problems into effective Palantir‑based data solutions, • Build, configure, and maintain data pipelines and operational workflows, • Integrate, transform, and structure data for analytics and AI consumption, • Apply strong software engineering practices to deliver reliable, maintainable solutions, • Configure and extend Palantir platforms (e.g. Foundry, Gotham) to support operational and analytical use cases, • Collaborate with colleagues on analytics, AI, and machine‑learning initiatives, • Mentor junior engineers and contribute to engineering best practice, • Build trusted client relationships and support long‑term transformation outcomes Key Requirements As a Data Engineer, you should have: • Strong experience with Python, SQL, and TypeScript, • Proven experience working with Palantir technologies (e.g. Foundry, Gotham) in delivery environments, • Solid understanding of data engineering concepts, ETL pipelines, and workflow design, • Experience delivering analytics‑driven or data‑intensive platforms, • Interest in AI, machine learning, and advanced analytics, • Excellent problem‑solving and communication skills, • Ability to work effectively in collaborative, client‑facing environments, • Active UK Government Security Clearance (SC) and the ability to operate on secure client engagements You will gain exposure with: Working as a Data Engineer, you will gain exposure to: • Advanced Palantir implementations across complex organisations, • Decision‑intelligence and operational analytics at enterprise scale, • AI‑enabled data solutions deployed in real‑world, regulated environments, • Client‑facing delivery on mission‑critical programmes, • Engineering‑led consulting and strategic problem‑solving You’ll operate in an environment that combines: • Hands‑on software and data engineering, • Palantir‑centred analytics and AI capability, • Consulting delivery with measurable real‑world impact Why Join? • Specialise in Palantir‑led data and decision‑intelligence delivery, • Work on high‑impact, mission‑critical programmes, • Build deep technical expertise alongside consulting capability, • Progress your career across technical and leadership tracks

Principal AI Engineer Hybrid Working on Client Site £100,000 to £130,000 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.

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