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Lead Data Engineer (Contract) Location: London (2 days onsite per week) Day Rate: £500-£550 Per day (Outside IR35) Duration: 6-month contract Start: ASAP Overview We are looking for a Lead Data Engineer to join a high-performing team delivering advanced data platforms that support financial institutions in tackling fraud and financial crime. In this role, you will help design and evolve a modern Databricks + AWS lakehouse architecture, enabling analytics, machine learning, and investigative teams to generate actionable insights from large-scale datasets. This is a hands-on leadership position focused on building robust, scalable, and governed data solutions using modern cloud technologies. The Role • Own the end-to-end design, build, optimisation, and support of scalable Spark / PySpark data pipelines (batch and streaming), • Define and implement lakehouse architecture standards (medallion model: bronze, silver, gold), including governance, lineage, and data quality controls, • Design and manage secure data ingestion frameworks (e.g. Apache NiFi, APIs, SFTP/FTPS) for internal and external data sources, • Architect and maintain secure AWS-based data infrastructure (S3, IAM, KMS, Glue, Lake Formation, Lambda, Step Functions, CloudWatch, etc.), • Implement orchestration using tools such as Airflow, Databricks Workflows, and Step Functions, • Champion data quality, observability, and reliability (SLAs, monitoring, alerting, reconciliation), • Drive CI/CD best practices for data platforms (infrastructure as code, automated testing, versioning, environment promotion), • Mentor engineers on distributed data processing, performance optimisation, and cost efficiency, • Collaborate with data science, product, and compliance teams to translate requirements into scalable data solutions Required Skills & Experience • Strong experience as a Senior or Lead Data Engineer with ownership of end-to-end data solutions, • Expertise in Databricks, PySpark / Spark, SQL, and Python, • Proven experience building and optimising large-scale data pipelines in production environments, • Strong knowledge of cloud data architectures, particularly within AWS, • Experience designing scalable data models and reusable frameworks, • Hands-on experience with orchestration tools such as Airflow or similar, • Solid understanding of data governance, lineage, and compliance requirements, • Experience with CI/CD pipelines and infrastructure as code (e.g. Terraform, CloudFormation), • Strong communication skills with the ability to collaborate across technical and non-technical teams What We’re Looking For • A hands-on technical leader who can design, build, and deliver solutions independently, • Someone comfortable working with high-volume, high-throughput data systems, • Strong problem-solving skills and a pragmatic, delivery-focused mindset, • Experience mentoring engineers and setting engineering standards and best practices, • Ability to balance technical excellence with delivery timelines

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.

Senior Backend Engineer – Mobile - Fully Remote Anywhere in UK & Europe! £115,000 I’m working with a high-growth, consumer-facing mobile platform used by millions globally, who are building out a brand new monetisation engineering function. They’ve recently evolved into a more mature, product-led engineering organisation with dedicated squads aligned to Product, and are now hiring a backend engineer to sit at the centre of how they generate revenue. This is a high-impact role focused on building and scaling the systems behind subscriptions, payments and pricing - owning the reliability and performance of the monetisation funnel end-to-end. What you’ll be doing: • Designing and building scalable backend systems that power subscriptions, billing and pricing logic, • Owning the performance, reliability and correctness of revenue-critical systems, • Working closely with Product and Data to support experimentation, analytics and growth initiatives, • Helping shape how monetisation is built as the business continues to scale Tech stack: • Node.js, TypeScript, • AWS, • DynamoDB What they’re looking for: • Strong backend engineering experience in high-scale, consumer-facing products, • Experience working on business-critical systems (payments, subscriptions, or similar high-throughput environments), • Ability to work closely with Product Managers, challenge where needed and prioritise effectively, • Strong communication skills and a product mindset Nice to have: • Experience with in-app purchases or subscription platforms, • Background in mobile-first products, • Exposure to analytics, experimentation or feature flagging systems The setup: • Fully remote, distributed team, • Mature squad structure with strong engineering leadership, • Opportunity to take ownership in a newly formed team with clear progression into leadership If you’re interested, drop me a message or apply and I’ll run you through the details.

This is not a bank. Not a consultancy. Not sell‑side tech. We’re hiring a Java Engineer to join a small, elite engineering team inside a buyside FX trading firm building proprietary systems that directly trade capital. Your code won’t feed dashboards or client portals — it will sit at the heart of a live trading engine, influencing execution, performance, and real P&L. True buyside environment — engineers build systems that move money This is a rare chance to step inside a trading business at a critical build phase. What You’ll Be Working On • Core trading infrastructure, • Order Management System (OMS), • Execution Management System (EMS), • Strategy management components, • Internal analytics & observability, • Performance metrics, • Monitoring & dashboards, • Cloud & DevOps foundations, • AWS infrastructure, • CI/CD pipelines This is backend + infrastructure engineering in a production trading environment. Who This Is For We’re looking for a junior–mid level Java engineer who can: • Pick up tickets independently, • Write clean, production‑ready code Must‑Have Skills • Strong Java, • Spring Boot, • REST API development, • Solid understanding of performance, reliability, and production systems, • AWS (EC2, S3), • Docker / Kubernetes, • Terraform, • CI/CD pipelines, • Prometheus & Grafana, • Low‑latency or performance‑sensitive systems If you want your engineering work to directly shape a live trading system — not just another internal platform — this is a rare opportunity to do exactly that

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

🧱 Databricks Data Engineer | London | £60,000 - £75,000 🧱 Peaple Talent have partnered with a specialist data consultancy delivering services across data engineering, data strategy, data migration, BI & analytics. As a trusted Microsoft Partner, my client are leaders in the industry, with a diverse portfolio of clients and projects. Due to exciting growth plans we are now looking for a Data Engineer, specialising in Databricks. We are looking for: • Demonstratable data engineering/BI skills, with a focus on having delivered in Microsoft Azure or AWS, • Strong experience designing and delivering data solutions in Databricks, • Proficient with SQL and Python, • Experience using Big Data technologies such as Apache Spark or PySpark, • Great communication skills, effectively participating with Senior Stakeholders Nice to haves: • Azure/AWS Data Engineering certifications, • Databricks certifications What's in it for you: 📍Location: London (Hybrid) 💻Remote working: Occasional office visits each month 💰Salary: £60,000-£75,000 DOE 🤝Collaborative culture and great team support 📈Vast L&D opportunities both internally and externally

Contract AI & Data/Jr Forward Deployed Engineer | Up to £500.00 Outside IR35 | 3 months (rolling) | Hybrid Monthly (UK) A fast-growing UK-based FinTech scale-up is looking for 2x Contract AI & Data Engineers to join their financial analytics platform team. Haven't held the title yet? No problem... if you've been doing the work, we want to hear from you. Responsibilities: • Build and maintain scalable data pipelines and AI/ML solutions, • Develop, test, and deploy data models and machine learning workflows, • Implement reporting/data solutions to ensure visibility, accuracy, and integrity, • Strong Python and SQL skills, • Familiarity with Azure or AWS, • Some exposure to ML frameworks (e.g. scikit-learn, TensorFlow, or PyTorch), • ETL/ELT pipeline experience, • Microsoft Fabric / Data Lake knowledge, • BI tools (e.g. Power BI, Tableau), • £500.00 per day Outside IR35, • 3-month contract (rolling), • Hybrid monthly - (UK) A great opportunity for a Data Analyst moving into engineering, or a Developer pivoting into the data space - if the skills are there, the title doesn't matter. **Due to high volume of applications, not all applicants will receive feedback Contract AI & Data/Jr Forward Deployed Engineer | Up to £500.00 Outside IR35 | 3 months (rolling) | Hybrid Monthly (UK)

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

Job Title: Sr. Software Engineer Work Schedule: Onsite 5 days Location: London, England Job Summary: We are looking for a hands-on Senior Software Engineer to own and accelerate our product delivery pipeline — from back-end database optimization to client-facing interactive dashboards and reporting platforms. This is a builder role. You will work directly alongside the Head of Data & Customer Analytics to identify bottlenecks, design improvements, and push products from backlog to production. You will be embedded in a small, high-output team where your contributions are immediately visible and impactful. Responsibilities: • Optimize and maintain a Treasury Dashboard hosted in client Azure environments (currently Streamlit-based; you will evaluate and drive the framework roadmap), • Lead the build of a web-based, interactive Risk Reporting platform — replacing a PDF solution with a scalable, multi-prime broker plug-and-play product, • Reduce client onboarding time for new reporting deployments to under two weeks, • Improve load times and performance across existing data pipelines and dashboards, • Integrate external and client-side data sources into existing reporting infrastructure, • Work across the full stack: database layer, back-end logic, front-end delivery. Qualifications: • Advanced Python: data processing, scripting, web frameworks (Streamlit, Django, or equivalent), • C / C++: performance optimisation, low-level processing, • Java: application-level development, • Microsoft Azure: cloud deployment and hosted application environments, • Database optimisation: SQL, query tuning, load performance, • Front-end development: web performance, interactive UI components, data visualisation, • Experience building or replicating BI/reporting tools (Tableau-equivalent functionality, interactive charts, drill-down tables)

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 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

GCP Data Engineer Job Summary: We are seeking a highly motivated and experienced GCP Data Engineer to join our growing team. The ideal candidate will be responsible for designing, developing, and maintaining scalable and robust data pipelines and architectures on Google Cloud Platform. You will work closely with data scientists, analysts, and other stakeholders to ensure data availability, quality, and usability, contributing to our data-driven initiatives. Required Qualifications: • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related quantitative field., • Proven experience (typically 5+ years) as a Data Engineer, with a strong focus on Google Cloud Platform., • In-depth knowledge and hands-on experience with core GCP data services such as:, • BigQuery: For data warehousing, querying, and analytics., • Cloud Dataflow: For batch and stream data processing., • Cloud Pub/Sub: For real-time messaging and event ingestion., • Cloud Storage: For scalable and durable object storage., • Cloud Composer (Apache Airflow): For workflow orchestration and pipeline management., • Cloud Dataproc: For managed Hadoop and Spark clusters (good to have)., • Cloud SQL/Cloud Spanner/Cloud Bigtable: Experience with relational and NoSQL databases., • Strong proficiency in SQL for data manipulation, querying, and optimization., • Expertise in at least one programming language commonly used in data engineering, preferably Python. Scala or Java is a plus., • Solid understanding of data warehousing concepts, data modeling techniques (dimensional modeling, Kimball, Inmon), and ETL/ELT processes., • Experience with version control systems (e.g., Git)., • Strong analytical, problem-solving, and debugging skills., • Excellent communication and collaboration skills, with the ability to work effectively in a team environment. Preferred Qualifications: • Google Cloud Professional Data Engineer certification., • Experience with data visualization tools (e.g., Looker, Tableau, Power BI)., • Familiarity with CI/CD pipelines for data engineering workflows., • Knowledge of data governance frameworks and tools., • Experience with real-time data processing and streaming architectures., • Basic understanding of machine learning concepts and how to operationalize ML models.

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

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.

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

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.

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

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.

Cyber Engineer • Contract Duration: 12 months, • Location: London or Sheffield (Hybrid - 2 days a week onsite), • Job Type: Contract We are seeking an experienced Cyber Engineer to join a prestigious UK-based organisation with a rich history spanning over 500 years. This role involves providing deep technical expertise in Microsoft Sentinel, Azure security infrastructure, networking, and security tooling. The successful candidate will play a crucial role in stabilising, improving, and standardising security operations. Day-to-day of the role: • Design, implement, and support Microsoft Sentinel infrastructure, including workspaces, data connectors, analytics rules, automation, and workbooks., • Engineer and maintain Azure security controls across core services, supporting secure cloud operations at enterprise scale., • Implement, enhance, and maintain security tooling to improve detection, monitoring, and response capabilities., • Design, deliver, and support certificate automation solutions, including lifecycle management and operational processes., • Work closely with networking teams to support secure architectures, traffic flows, segmentation, and connectivity patterns., • Actively support and participate in change approval processes, ensuring security requirements are met without impacting delivery timelines., • Provide senior-level support for BAU security engineering activities, ensuring stability and resilience of security platforms., • Act as an escalation point for complex technical issues and incidents across cyber tooling and infrastructure., • Mentor and support junior cyber engineers, progressively enabling them to take ownership of BAU tasks. Required Skills & Qualifications: • Strong hands-on experience with Microsoft Sentinel, including infrastructure and configuration., • Solid Azure platform experience, particularly from a security and infrastructure standpoint., • Strong networking background, including understanding of network security principles, firewalls, VPNs, routing, and segmentation., • Experience with a range of security tools (SIEM, monitoring, detection, and response platforms)., • Proven experience delivering and supporting certificate automation., • Experience operating in enterprise or regulated environments., • Comfortable working across project delivery, change processes, and BAU support., • Confident making pragmatic, risk-based security decisions. Nice-to-Have / Desirable: • Experience working alongside SOC or security operations teams., • Scripting or automation experience (e.g., PowerShell, Python)., • Exposure to DevSecOps or Infrastructure-as-Code., • Experience supporting third-party vendors or managed security services. Personal Attributes: • Pragmatic, delivery-focused approach to security engineering., • Comfortable acting as a senior point of reference across security, change, and delivery., • Able to clearly explain technical decisions and trade-offs to engineers and stakeholders., • Strong sense of ownership and accountability. To apply for this Cyber Engineer position, please submit your CV detailing your relevant experience and why you are interested in this role.

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.

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!

Our client is at the forefront of digital transformation, supporting the world’s most essential organisations through their most complex digital challenges. By providing visibility and insight at an unparalleled scale they help clients solve problems faster, secure what matters, and drive continuous innovation across their digital ecosystems. We are now seeking a Sales Engineer to support the growth of UK public sector accounts. This is a remote, client-facing role for a highly technical and experienced presales professional with a strong Government/Public Sector background and current SC clearance. Key Requirements SC Clearance is essential alongside strong client facing/presales experience from start to finish with hands on networking and designing skills, capable of operating in complex and secure environments. Essential skills and experience: • 5+ years’ experience in IT, with at least 2 years in presales, network engineering, or technical support, • Demonstrable success supporting UK Government or public sector clients, • Ability to translate technical challenges into clear commercial value, • Confident at C-Suite Level and able to hold customer meetings onsite, • Strong expertise in:, • Cisco routing, switching, gateways, and applications, • TCP/IP, SNMP, Netflow, VoIP, • LAN/WAN topologies (MPLS, Frame Relay, ATM), • Security concepts and network infrastructure design, • Network performance and fault/alert management, • Solid understanding of:, • Operating systems – Linux, Windows, • Cloud and virtualisation technologies – SDN/NFV, Public/Private Cloud, • Performance tools – HP/OV, Tivoli, EMC SMARTS, ArcSight, • Relevant certifications – CCNA, CCNP, CCIE, • Formal presales training (e.g. Sandler, Siebel, Afterburner), • Exposure to packet analysis, troubleshooting., • Comfortable with 60-70% UK travel Desirable qualifications: • Degree in Computer Science, Software Engineering, or equivalent technical military training, • MBA or relevant business/leadership qualification, • Knowledge of products such as Arbor, Radwhere, Riverbed, A10, ExtraHop, • Experience authoring whitepapers, contributing to product strategy, • Familiarity with security audits, RFP/RFI responses, • Exposure to security analytics tools and techniques, such as log analysis, anomaly detection, or traffic monitoring, with an interest in developing stronger skills., • Understanding of full packet capture and analysis concepts, or hands-on experience with tools like Wireshark, Zeek, or similar platforms., • Awareness of cybersecurity frameworks and best practices (e.g., NIST, ISO 27001) and how they apply to network assurance. Role & Responsibilities As Sales Engineer, you will play a vital role in driving revenue by delivering technical presales support, demonstrating product value, and shaping best-fit solutions. Reporting to the Regional Sales Director, you will act as a trusted advisor for public sector clients and internal stakeholders. Responsibilities include: • Leading technical discovery and supporting the full sales cycle, • Differentiating solutions from competitors using compelling value stories, • Acting as a technical expert across integrators, service providers, and Government, • Partnering with product and engineering to influence roadmaps and relay market feedback, • Contributing to technical documentation, RFPs, and whitepapers, • Building strong customer relationships and identifying upsell opportunities, • Representing customer needs internally and advocating for technical alignment, • Participating in industry events, speaking engagements, and strategic initiatives, • Helping customers use the product to find / troubleshoot problems in PoC etc. Additional Details Remote Working: • Officially home-based, • Must be comfortable with regular travel for:, • Client meetings 3-4 days per week, • Annual conference, • Quarterly convention for Sales Engineers

COSTAR GROUP - SENIOR SALES ENGINEER, MATTERPORT - LONDON OVERVIEW CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We’ve continually refined, transformed, and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate. ABOUT MATTERPORT Matterport, part of CoStar Group, is leading the digital transformation of the built world. Our groundbreaking spatial computing platform turns buildings into data making every space more valuable and accessible. Millions of buildings in more than 177 countries have been transformed into immersive Matterport digital twins to improve every part of the building lifecycle from planning, construction, and operations to documentation, appraisal, and marketing. Learn more about ___. DESCRIPTION We are seeking a Senior Sales Engineer to support the accelerating global demand for Matterport’s platform and solutions. This role represents a senior level of individual technical leadership within the Sales Engineering organization and is designed for a deeply experienced technical sales professional who operates as a strategic advisor, internal authority, and external thought leader. This position owns the most complex and business-critical technical engagements, shapes how Matterport sells and deploys solutions at scale, and materially influences product direction, go-to-market strategy, and enterprise customer success. The role reports to the regional Sales Engineering leader and operates with a high degree of autonomy and accountability across regions, accounts, and teams. RESPONSIBILITIES Enterprise & Strategic Technical Leadership • Serve as the primary technical authority for complex, high-value, and strategically significant sales opportunities, including channel, enterprise and global accounts., • Advise executive-level customer stakeholders on architectural decisions, security posture, integrations, and long-term platform strategy., • Act as a trusted technical advisor to internal sales leadership on deal strategy, risk assessment, and solution positioning., • Define and lead advanced solution architectures, custom integrations, and proof-of-concept engagements that address ambiguous, multi-system customer requirements., • Set technical standards for demonstrations, pilots, and solution validation efforts across the Sales Engineering organization., • Own and guide resolution of non-standard, high-risk technical challenges with accountability for outcomes that impact revenue and customer trust., • Organizational Thought Leadership, • Establish best practices, methodologies, and technical frameworks used by the broader Sales Engineering team., • Influence company-wide technical selling strategy, including how Matterport positions security, integrations, data workflows, and platform extensibility., • Serve as a recognized internal subject matter expert across 3D capture, spatial data workflows, cloud architecture, and enterprise integrations. Cross-Functional Influence • Provide authoritative field insight to Product Management, Product Marketing, Security, and R&D to shape roadmap prioritization, enterprise readiness, and competitive differentiation., • Translate customer and partner needs into actionable product and platform recommendations with clear business rationale., • Contribute to broader organizational initiatives that require deep technical and commercial judgment. Enablement & Technical Mentorship • Design and deliver advanced technical training programs for Sales Engineers, Account Executives, and strategic partners., • Mentor junior and mid-level Sales Engineers, raising the overall technical bar of the organization., • Guide onboarding and development frameworks to support scale, consistency, and technical excellence. Security & Risk Leadership • Lead enterprise-level security, privacy, and compliance discussions with customers and partners., • Act as a technical escalation point for security-related inquiries and solution reviews., • Partner with internal security and legal stakeholders to align customer requirements with Matterport’s policies and capabilities., • External Representation, • Represent Matterport as a technical thought leader at industry events, executive briefings, webinars, and conferences., • Engage with strategic partners and ecosystem vendors to define joint solution approaches and integration strategies. Leadership Continuity • Provide leadership coverage and decision-making support during manager absences., • May direct or coordinate the activities of other Sales Engineers on complex initiatives without formal people-management responsibility. QUALIFICATIONS • Bachelor’s degree or equivalent experience, • In-depth experience supporting B2B SaaS solutions in a pre-sales or technical consulting capacity, with demonstrated enterprise-level impact., • Proven history of long-term commitment and progression within prior organizations., • Exceptional executive-level communication skills, with the ability to influence technical and non-technical stakeholders across functions and seniority levels., • Experience with APIs, SDKs, and custom integrations, including hands-on prototyping using technologies such as JavaScript and GraphQL., • Advanced understanding of 3D data types (models, point clouds, imagery) and the workflows customers use to operationalize spatial data., • Strong knowledge of cloud platforms, security architecture, and authentication technologies (e.g., AWS, SAML, OAuth)., • Working understanding of machine learning and AI concepts as applied to data-driven products., • Willingness and ability to travel up to 50% as business needs require., • In addition to requirement for English, either French or German is highly preferred, Spanish or Italian would also be advantageous. Preferred Qualifications • Extensive expertise in reality capture technologies and the competitive landscape., • Deep knowledge of the Matterport platform, ecosystem integrations, and partner offerings., • Advanced familiarity with 3D modelling, visualization, and construction/engineering platforms such as Autodesk, SketchUp, Procore, PlanGrid, Unity, Unreal Engine, or similar., • Experience shaping technical strategy for large partners or enterprise customers., • Recognized externally or internally as a subject matter expert in spatial data or related technologies. WHAT’S IN IT FOR YOU? Working at CoStar Group means you'll enjoy a culture of collaboration and innovation that attracts the best and brightest across a broad range of disciplines. As well as having an outstanding working environment based in the Blue Fin or one of our key UK-wide hubs. Other perks include full private medical cover, dental cover, Life Assurance and member rewards, 28 days annual leave, a competitive pension, season ticket loans, enhanced maternity and paternity pay and much more! At CoStar, we recognise the positive value of diversity and promote equality. We aim at all times to recruit the person who is most suited to the job and welcome applications from people of all backgrounds including but not limited to; people of all genders, of all ages, sexual orientations, ethnicities, nationalities, religions and beliefs. #Matterport #LI-ST3 CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

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

🚀 Python Developer (AI / Data Focus) – Financial Services We’re partnering with an innovative financial services firm with deep expertise across FX, Swaps, Options, and a range of complex financial products. Their technology team is building cutting-edge, data-intensive, event-driven systems that power real-time market data, analytics, and execution workflows — and they’re looking for a Full-Stack Python Engineer to join them. 💻 What you’ll be working on: • Designing, developing, and optimising full-stack applications, • Building API-first, scalable backend services, • Developing real-time data pipelines and event-driven architectures, • Supporting production systems and driving performance improvements 🛠️ Core tech & experience: • Strong Python expertise (Django, FastAPI), • Experience with REST APIs, WebSockets, and real-time data integration, • Cloud-native development (Azure preferred), • CI/CD, automated testing, and production support, • Hands-on experience with AI agents / AI-assisted development workflows 📈 Nice to have: • Docker / Kubernetes, • Experience in startup or fast-paced environments 🌍 Why join? Work at the intersection of finance and modern technology, building systems that operate at real-time scale in a highly innovative environment. 📩 Interested? Apply now or message me directly to learn more.

Data Engineer - Insurance £80,000 1 Year FTC London Based - 2/3 days in Office We’re looking for a Mid Data Engineer to help design, build, and operate scalable, reliable, and high-quality data infrastructure across a modern Microsoft-based data platform. This role sits at the intersection of software engineering and data management, ensuring that data flows seamlessly from source systems into analytics-ready structures that power insight, reporting, and decision-making across the organisation. You’ll play a key role in shaping how data is built, trusted, and consumed—working closely with business domains, analysts, data scientists, and platform engineers. Data Engineering & Pipelines • Build and maintain robust ETL/ELT pipelines using Microsoft Fabric (Data Factory, Lakehouse, etc.), • Design reliable ingestion processes from APIs, databases, and file-based sources, • Apply best-practice pipeline design patterns for resilience and re-runnability Data Modelling & Analytics Enablement • Design analytical data models that are performant, maintainable, and business-friendly, • Apply dimensional modelling techniques for BI and reporting use cases, • Build and optimise Power BI semantic models and datasets Microsoft Data Platform • Contribute to the evolution of a modern Azure/Microsoft data platform, • Optimise pipelines for performance, scalability, and cost efficiency, • Work confidently across cloud data storage and compute services Data Mesh & Domain Ownership • Support domain-oriented data product development in partnership with business teams, • Promote standards for naming, metadata, documentation, and discoverability, • Enable decentralised data ownership while maintaining consistency Experience • Proven experience as a Data Engineer in a modern cloud data environment, • Strong SQL skills (complex queries, joins, optimisation), • Hands-on Python for data processing and pipeline development, • Experience with Microsoft Fabric and Power BI (datasets, semantic models), • Understanding of data modelling for analytics and reporting, • Familiarity with CI/CD, testing, version control, and data quality practices, • Exposure to data mesh / domain-oriented data ownership (desirable)

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

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

Job Title: AI Engineer (M&A & Transaction Analytics) Location: London (Hybrid – 2–3 days in office) Employment Type: Permanent Level: Senior / Lead (flexible depending on experience) Overview We are seeking an experienced AI Engineer with strong M&A, transaction, or corporate development experience to design, build, and deploy AI‑driven solutions across the deal lifecycle. This role sits at the intersection of advanced machine learning, data engineering, and strategic transactions, supporting high‑impact decisions during acquisitions, integrations, and divestments. You will work closely with investment teams, corporate development, finance, legal, and data teams to apply AI to due diligence, valuation, synergy modelling, risk analysis, and post‑merger integration. Key Responsibilities • Design, build, and deploy AI/ML models to support M&A activities, including:, • Due diligence automation (financial, commercial, operational, and legal), • Target screening and opportunity identification, • Risk detection and anomaly analysis, • Synergy modelling and value‑creation forecasting, • Develop LLM‑powered solutions for document analysis, contract review, data room interrogation, and summarisation., • Build scalable data pipelines and feature stores integrating structured and unstructured data (financials, contracts, operational data, market data)., • Partner with corporate development, M&A, and strategy teams to translate deal requirements into technical solutions., • Support post‑merger integration (PMI) through AI‑enabled insights, reporting, and performance tracking., • Deploy solutions into production using modern MLOps and cloud practices., • Ensure models are explainable, auditable, and aligned with governance and regulatory requirements in transaction contexts. AI / Technical • Strong experience building and deploying machine learning and AI solutions in production., • Hands‑on experience with:, • Python (PyTorch, TensorFlow, scikit‑learn), • Data engineering tools (SQL, Spark, Airflow or similar), • LLMs, NLP, and document intelligence (e.g. RAG, embeddings), • Experience with cloud platforms (AWS, Azure, or GCP)., • Direct experience supporting M&A, private equity, corporate development, or transaction advisory., • Proven understanding of:, • Due diligence processes, • Valuation drivers and financial statements, • Deal timelines and transaction workflows, • Background in investment banking, PE, consulting, or transaction services., • Experience applying AI to financial modelling, forecasting, or market intelligence., • Familiarity with regulatory, legal, or compliance data in M&A contexts., • Experience in post‑merger integration analytics., • Strong problem‑solver who can bridge technical depth and commercial thinking., • Comfortable working with senior stakeholders during high‑pressure deal environments., • Able to operate across ambiguous, fast‑moving transaction scenarios., • Competitive salary + bonus + benefits, • High‑impact role working on live transactions, • Exposure to senior leadership and strategic decision‑making, • Opportunity to shape and scale an AI capability within M&A, • Flexible working and a collaborative London‑based environment

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

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

AI Engineer or Senior AI Engineer | AI Tech Start-Up | £60k-£100k DOE + Sizeable Shares | London/Hybrid (1 day a week in office) We are excited to be working with a rapidly growing AI tech scale-up that’s expanding its team with a talented AI Engineer or Senior AI Engineer. The Company This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision-making. Their digital AI agents provide always-on, intelligent insights, empowering top-tier clients across sectors, including asset management, banking, retail, telecoms, supply chain, and utilities, to dramatically enhance performance and efficiency. The Role You’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises. This isn’t your typical AI Engineering position – it’s deeply technical, highly collaborative, and focused on delivering real-world impact. You’ll help translate complex business challenges into intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of a suitable AI Engineer or Senior AI Engineer include: • Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred., • Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots, agentic workflows (heavily desired), and more., • Client-Centric Problem Solver – You’re confident engaging with clients and stakeholders, able to translate complex business problems into elegant, scalable AI solutions. You’ve played a hands-on role in architecting and delivering real-world deployments.

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.

Principal AI Engineer | AI Tech Start-Up | Up to £120,000 + Shares | London / Hybrid (1 Day Office) We’re partnering with a fast-growing AI tech scale-up expanding its team, who are hiring for a Principal AI Engineer. This is a rare opportunity to lead the delivery of enterprise-grade Agentic AI solutions — working with ambitious clients at the forefront of applied AI innovation. The Company This pioneering organisation has built an advanced enterprise AI platform delivering predictive analytics and AI-powered decision intelligence. Their digital AI agents provide always-on, intelligent insights — supporting leading clients across financial services, retail, FMCG, pharma, and beyond to enhance performance and efficiency. The Role As Principal AI Engineer, you’ll lead the delivery of Agentic AI solutions post-sale, owning client projects from design through to deployment. This is a hands-on role combining strong technical depth with delivery leadership and stakeholder management. You’ll implement AI and agentic systems across enterprise clients, designing scalable architectures using LLMs, RAG pipelines, and agentic workflows, while working closely with engineering and product teams to ensure successful outcomes. The Candidate Key attributes of the suitable Principal AI Engineer include: • Technical Data Science Expertise – Strong background delivering production-grade solutions, ideally within consulting or product-led environments, • Agentic AI & Modern AI Systems Experience – Hands-on exposure to LLMs, RAG pipelines, and agentic frameworks, • Delivery Leadership & Client Ownership – Comfortable leading teams while remaining technically involved and managing client relationships post-sale

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

Senior Customer Success Engineer, Adoption & Enablement London, Hybrid Up to £95,000 We’re partnering with a scaling AI and data platform helping organisations turn complex data into real, operational insight. The product is landing well. Now the focus is on embedding it into client environments and driving sustained value. The Role A senior technical Customer Success role sitting between client, product, and engineering. You’ll own delivery from implementation through to adoption, ensuring the platform is embedded into client workflows and decision-making. Less account management, more enablement, solution design, and driving usage. What you’ll be doing • Leading onboarding and implementation into client environments, • Acting as the bridge between client, product, and engineering, • Running workshops, roadshows, and solution sessions to drive adoption, • Translating client needs into clear requirements for technical teams, • Embedding the platform into live workflows with data teams, • Driving usage, value realisation, and expansion, • Building scalable enablement and onboarding approaches Tech environment • APIs, data pipelines, and integration workflows, understanding and translating requirements, • Familiarity with Python, SQL, able to engage with data teams without coding, • Cloud platforms (AWS, Azure, GCP) and modern data stacks (Databricks, Snowflake), • AI / ML-driven platforms, translating capability into business use cases Role Requirements • Background in Solutions Engineering, Technical Consulting, or Customer Success, • Experience with data, analytics, or AI platforms, • Strong at translating business needs into technical delivery, • Experience running client workshops or enablement sessions, • Comfortable working across client and engineering stakeholders Why this role • Move into a technical, product-led CS role, • Shape how adoption and enablement is delivered, • High visibility, close to product and engineering, • Focus on embedding technology and driving real value If you’re in Solutions Engineering, Technical Consulting, or Customer Success and want to get closer to product and impact, let’s talk.

Role Title Principal Forward Deployed Engineer – AI & M&A Location London, United Kingdom (Hybrid) Employment Type Permanent Role Overview We are seeking a highly experienced Forward Deployed Engineer (FDE) to partner closely with executive stakeholders, deal teams, and client leadership to deliver high‑impact AI‑driven solutions in Mergers & Acquisitions and complex enterprise transformation contexts. This role is ideal for a senior technologist with 20+ years of experience, combining deep hands‑on engineering capability with strategic advisory skills. You will sit at the intersection of AI, data, product, and business, translating ambiguous commercial objectives into deployable, production‑grade solutions that directly support transaction strategy, value creation, and post‑merger integration. Key Responsibilities Client & Stakeholder Engagement • Act as a trusted technical advisor to C‑suite, deal teams, and senior enterprise stakeholders during pre‑deal, due diligence, and post‑merger integration phases, • Partner with investment teams, corporate development, and strategy functions to shape AI‑led M&A use cases, • Lead forward deployment of AI, data, and analytics solutions directly within client environments, • Design and implement end‑to‑end solutions covering data ingestion, modeling, orchestration, and deployment, • Rapidly prototype, iterate, and productionise AI‑enabled workflows under tight deal timelines, • Apply machine learning, generative AI, and advanced analytics to support M&A use cases such as:, • Commercial and operational due diligence, • Synergy identification and value leakage analysis, • Technology landscape rationalisation, • Post‑merger performance monitoring and integration tracking, • Provide hands‑on technical leadership across architecture, engineering standards, and best practices, • Guide teams on scalable, secure, and compliant system design, • Influence platform, tooling, and data strategy decisions at an enterprise level Essential • 20+ years’ experience in technology, including senior engineering, architectural, or technical leadership roles, • Proven experience working as a Forward Deployed Engineer, Principal Engineer, Solutions Architect, or similar client‑facing technical role, • Strong track record delivering AI‑driven solutions in real‑world, production environments, • Demonstrated experience supporting M&A, private equity, corporate development, or large‑scale transformation initiatives, • Deep hands‑on expertise with:, • Python and modern data/AI engineering stacks, • Data pipelines, distributed systems, and cloud platforms (AWS, Azure, or GCP), • Machine learning and/or Generative AI workflows, • Strong understanding of how technology enables value creation in M&A contexts, • Experience communicating technical trade‑offs, risks, and ROI to executive and investment audiences, • Experience in consulting, private equity–backed environments, or high‑growth technology companies, • Background in data‑intensive platforms, AI products, or decision intelligence systems, • Exposure to regulated industries (e.g. financial services, insurance, healthcare), • A senior, high‑impact role operating at the intersection of technology, AI, and corporate strategy, • Opportunity to influence mission‑critical M&A decisions using cutting‑edge AI and data solutions, • Competitive compensation and benefits package, • Long‑term career growth in a technically ambitious, client‑focused environment, • London‑based role with flexible working arrangements

Manufacturing Automation Engineer London (Liverpool Street) | Hybrid (3 days onsite) | £60,000–£70,000 + benefits A globally recognised FTSE-listed technology group is driving an ambitious digital transformation across its portfolio of advanced engineering and manufacturing businesses. Their products play a critical role in improving safety, environmental sustainability, and healthcare outcomes worldwide. As part of a central digital function, this role offers a unique opportunity to operate as an internal consultant, working across multiple operating companies to design and deliver cutting-edge Industry 4.0 solutions. This is not a traditional plant-based role. You’ll be shaping how modern manufacturing environments evolve, bringing together data, AI, robotics, and automation to drive measurable improvements in efficiency, quality, and uptime. What you’ll be doing • Leading pilots and projects in AI-assisted visual inspection, predictive maintenance, robotics, and automation., • Identifying opportunities to improve efficiency, quality, and performance at cell, line, or departmental level., • Designing and delivering data-driven solutions across MES, SCADA, IIoT, and digital manufacturing technologies., • Working alongside operational and engineering teams to translate real-world problems into actionable technical solutions., • Creating scalable frameworks and reference architectures for repeatable adoption across multiple sites., • Supporting the implementation and adoption of modern manufacturing technologies across global operating companies. What they’re looking for • 4–6 years’ experience in digital manufacturing, automation, or Industry 4.0 environments., • Exposure to PLCs, MES, SCADA, IIoT, robotics, AI, or computer vision in a manufacturing context., • Strong understanding of production processes, quality control, and visual inspection., • Ability to bridge engineering and digital/technical solutions., • Comfortable working across multiple sites and stakeholders., • Proactive, solutions-focused mindset with hands-on problem solving and innovation. Nice to have • Experience implementing predictive maintenance or monitoring legacy equipment., • Familiarity with data analytics dashboards and visualization tools. Why this role stands out • Operate across a portfolio of highly innovative engineering businesses rather than a single site., • Hands-on application of emerging tech to solve real operational challenges., • Real ownership: lead pilots, shape solutions, and influence global manufacturing strategy., • Exposure to a wide range of technologies and manufacturing environments., • Strong long-term career trajectory into senior digital or operational leadership roles., • Stability of a global FTSE-listed group, combined with the agility of smaller businesses. For further information: call 02895213213 or simply apply! Reference: AMC/RKI

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

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

Systems Integration Engineer | E-commerce | Shopify | Fully Remote | £280 Outside IR35 We’re partnered with a rapidly scaling global e-commerce organisation transforming how cross-border digital commerce operates. With a complex, multi-tenant platform spanning multiple regions, currencies, and languages, they’re investing heavily in their integration capabilities to support continued growth. As part of this journey, they’re looking for a Systems Integration Engineer to take ownership of client and vendor onboarding, ensuring seamless connectivity across a wide ecosystem of platforms and services 🌍 💰 Upto £280/Day (Outside IR35) 📍 Fully Remote 📅 6 Month Contract You’ll work across product catalogues, order provisioning, and key third-party systems including payments, tax engines, and CRM tools — playing a critical role in maintaining and enhancing platform performance. 💡 What you’ll be doing: • Leading end-to-end client & vendor integrations (scoping → delivery), • Collaborating with Engineering, Product & QA teams to drive delivery, • Gathering and translating business requirements into technical solutions, • Managing stakeholders across multiple regions, • Troubleshooting complex issues & performing root cause analysis, • Producing clear integration documentation & reporting, • Supporting pre-sales & ongoing integration improvements 🧠 Key experience required: • 5+ years in e-commerce / systems integration environments, • Strong API integration experience (Shopify, Magento, SAP, Oracle etc.), • Experience integrating with ERP, OMS & PIM systems, • Knowledge of integration methods (API, EDI, JSON, XML, streaming), • Familiarity with AWS, SQL & analytics/reporting tools, • Experience working in Agile environments, • Strong problem-solving & stakeholder management skills 🌟 This is a high-visibility, hands-on role where you’ll work closely with both clients and internal teams, shaping integration strategy and delivering real business impact. If you’re interested, feel free to apply or message me directly with your CV for immediate consideration - 📩 Systems Integration Engineer | E-commerce | Shopify | Fully Remote | £280 Outside IR35

Full Stack React Engineer -AdTech -London, Hybrid Scalers HQ is proud to be partnering with an innovative and fast-growing Media organisation in London. We are looking for a Full Stack JavaScript Engineer to join their collaborative tech team. You'll play a key role in delivering cutting-edge AdTech analytics solutions, reporting directly to the Head of Engineering. This is a fantastic opportunity to work in a high-impact environment alongside experienced engineers and product specialists, helping to shape the future of media technology. Key Responsibilities • Develop and maintain scalable, high-quality JavaScript (ReactJS/TypeScript) code, • Collaborate closely with engineering and product teams to deliver new features and tools, • Contribute to backend services using Node.js, • Work with systems such as Redux for efficient state management, • Ensure code quality through testing frameworks, • Build and deploy using AWS cloud infrastructure Skills & Experience Required • Strong commercial experience with ReactJS, • Solid understanding of Node.js, • Experience with Rest API's and GraphQL, • Familiarity with testing - A/B Testing/Web Testing/Web Performance, • Proficient with Playwright/Cypress/Jest If the above is of interest, please apply with an updated copy of your CV and a member of the Scalers team will be in touch.

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

Senior Data Engineer – Insurance & London Market Location: London (Hybrid) Type: Permanent Overview A London Market insurance organisation is seeking a Senior Data Engineer to design, build, and lead modern data engineering solutions across underwriting, pricing, claims, and reinsurance domains. This is a hands-on senior role combining deep insurance domain knowledge with cloud-native data engineering, delivered within complex and regulated environments. Key Responsibilities • Design and build scalable cloud-based data platforms using Medallion Architecture (Bronze / Silver / Gold), • Engineer pipelines using Python and PySpark on platforms such as Databricks, • Ingest and integrate data from multiple sources including policy, claims, broker, and third‑party systems, • Contribute to CI/CD pipelines and modern DevOps delivery approaches, • Strong experience as a Senior Data Engineer within Insurance, ideally the London Market, • Proven hands-on expertise in:, • Python & PySpark, • Databricks, • Cloud platforms (Azure, AWS, or GCP), • Solid understanding of Medallion Architecture and analytics-focused data modelling, • Strong domain knowledge across:, • Lloyd’s Syndicates, • Delegated Authority / Coverholders, • Reinsurance and Ceded Reinsurance, • Underwriting, pricing, and claims, • Senior, hands-on role working on complex London Market data challenges, • Opportunity to shape and scale modern cloud data platforms, • Long-term transformation programmes with strong stakeholder visibility

Manufacturing Systems & Automation Engineer London (Liverpool Street) | Hybrid (3 days onsite) | £60,000–£70,000 + benefits A globally recognised FTSE-listed technology group is driving an ambitious digital transformation across its portfolio of advanced engineering and manufacturing businesses. Their products play a critical role in improving safety, environmental sustainability, and healthcare outcomes worldwide. As part of a central digital function, this role offers a unique opportunity to operate as an internal consultant, working across multiple operating companies to design and deliver cutting-edge Industry 4.0 solutions. This is not a traditional plant-based role. You’ll be shaping how modern manufacturing environments evolve, bringing together data, AI, robotics, and automation to drive measurable improvements in efficiency, quality, and uptime. What you’ll be doing • Leading pilots and projects in AI-assisted visual inspection, predictive maintenance, robotics, and automation., • Identifying opportunities to improve efficiency, quality, and performance at cell, line, or departmental level., • Designing and delivering data-driven solutions across MES, SCADA, IIoT, and digital manufacturing technologies., • Working alongside operational and engineering teams to translate real-world problems into actionable technical solutions., • Creating scalable frameworks and reference architectures for repeatable adoption across multiple sites., • Supporting the implementation and adoption of modern manufacturing technologies across global operating companies. What they’re looking for • 4–6 years’ experience in digital manufacturing, automation, or Industry 4.0 environments., • Exposure to PLCs, MES, SCADA, IIoT, robotics, AI, or computer vision in a manufacturing context., • Strong understanding of production processes, quality control, and visual inspection., • Ability to bridge engineering and digital/technical solutions., • Comfortable working across multiple sites and stakeholders., • Proactive, solutions-focused mindset with hands-on problem solving and innovation. Nice to have • Experience implementing predictive maintenance or monitoring legacy equipment., • Familiarity with data analytics dashboards and visualization tools. Why this role stands out • Operate across a portfolio of highly innovative engineering businesses rather than a single site., • Hands-on application of emerging tech to solve real operational challenges., • Real ownership: lead pilots, shape solutions, and influence global manufacturing strategy., • Exposure to a wide range of technologies and manufacturing environments., • Strong long-term career trajectory into senior digital or operational leadership roles., • Stability of a global FTSE-listed group, combined with the agility of smaller businesses. For further information: call 02895213213 or simply apply! Reference: AMC/RKI

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