Analytics engineer jobs in United Kingdom

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

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

Senior Data Analytics Engineer Outside IR35 Contract | London Hybrid | Snowflake / dbt | SaaS *One-stage interviews are taking place this week I’m currently supporting a high-growth SaaS business on a key Analytics Engineering contract role supporting the evolution of their reporting, operational insight and modern data platform capabilities. This is a hands-on role focused on analytics engineering, data modelling and scalable reporting workflows within a modern product-led environment. Key responsibilities: • Building and improving analytics engineering workflows, • Developing scalable data models and reporting layers, • Supporting operational and commercial reporting, • Working closely with product, operations and leadership teams, • Improving self-serve reporting capability across the business Key requirements: • Strong SQL capability, • Snowflake experience, • dbt experience, • Strong data modelling capability, • Experience within modern analytics/cloud data environments, • Comfortable working closely with business stakeholders, • SaaS or high-growth experience beneficial Additional exposure beneficial: • Fivetran, • Power BI, • Operational analytics/reporting, • Self-serve analytics environments Contract details: • Outside IR35, • 3–6 month initial contract, • Hybrid working (typically 1 day per week London), • Immediate / end of May start preferred If this sounds relevant, please apply below.

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

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

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

About the Company The mission of LTM Company is to engineer meaningful technology solutions to help businesses and societies flourish. Our successful technology business serves over 2000 Global customers and now, we are in a process of expanding. LTM is extending its technology business with specific expansion plans in UK. Job Title: SAP Consultant (SAC) Location: London, UK (3 days onsite) Duration: Permanent We are seeking an experienced SAP Analytics Cloud SAC Analytics Planning professional to support requirements gathering solution design architecture development and optimisation of analytics and planning solutions The role involves working closely with business and IT stakeholders to design highperformance scalable and usercentric SAC solutions integrated with SAP Datasphere and SAP HANA where applicable Key Responsibilities: • Lead requirements gathering workshops for analytics and planning use cases, • Design and review SAC analytic stories planning stories and applications, • Design SAC planning models including versions data actions and allocations, • Define endtoend SAP Analytics architecture SAC Datasphere HANA, • Review and optimise performance runtime and memory consumption, • Assess and improve user experience following SAP and Fiori best practices, • Provide design review documentation and improvement recommendations, • Required Skills Experience, • Strong experience in SAP Analytics BI, • Handson experience with SAP Analytics Cloud, • Experience with SAC Analytics and Planning, • Experience with SAP Datasphere and SAP HANA, • Strong stakeholder and consulting skills, • Desirable Skills, • SAP Analytics Cloud certification, • Largescale or multicountry rollout experience, • Centre of Excellence or design authority experience Skills Mandatory Skills : SAP SAC, SAP SAC PLANNING

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.

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

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

About the job The basics £55K-£75K base + meaningful founding equity Hoxton, London. In-office 5 days a week. Travel to customer branches across the UK. PLEASE DO NOT APPLY IF YOU ARE NOT IN THE UK! This will be the hardest job you've ever had. We're hiring our Founding Operator. The person who sits between our engineering team and our customers and makes sure neither one gets pulled into the wrong things. You'll be CS-trained but you don't want to be an engineer anymore. You can read our codebase, write SQL against the data warehouse, pull your own analytics, and debug a production customer issue down to the line. But the majority of your time, you'll be in front of customers. Onboarding agency staff. Training negotiators. Sitting in branches. Walking MDs through how Letty actually works. The engineering team builds. You make sure customers actually use what they built. 👋 What we're building Our starting point is selling to real estate agencies, where we're replacing manual workflows with AI employees that handle tenant engagement, landlord outreach, compliance, and maintenance autonomously. Property is one of the most important parts of people's lives, and the experience of buying, selling or renting one is still terrible. Nobody has built the definitive AI agent layer for real estate yet. That's what we're doing. 🏗️ About us • Backed by Entrepreneurs First and top-tier VCs, • Live with agencies across the UK with early US traction, • Building AI agents that don't just assist. They do the work., • Based in Hoxton, London. In-office 6 days a week. 🛠️ What you'll do Most days, you're customer-facing. • Take new agency customers from signed contract to fully live branch in 7 days or less, • Sit inside branch offices. Watch negotiators work. Map their daily workflows. Configure Letty to fit., • Train branch staff (negotiators, managers, MDs) on every Letty workflow they touch. In person. Hands-on., • Build the training curriculum from scratch. Docs, videos, certification paths, refresher modules., • Own the adoption metric. Daily active usage per branch is your north star. Some days, you're technical. • Triage customer issues yourself instead of opening an engineering ticket. SQL queries, log inspection, config changes. You handle most of it without pulling engineering in., • Pull your own analytics. You don't wait for someone to build you a dashboard., • Read the codebase well enough to file useful, specific bug reports. "The webhook handler at X is dropping payloads when Y" beats "it's broken.", • Stand up internal tooling for the customer team. Scripts, dashboards, automations. Every day, you're the bridge. • Surface product feedback to engineering with specifics, repro steps, and prioritisation, • Block engineering from being interrupted by customer questions you should answer, • Translate between MD-speak and engineer-speak, in both directions 🎯 You'll be a great fit if • 🎓 You have a CS background. Degree or equivalent self-taught depth. You can read Python, FastAPI, TypeScript, SQL. You understand how the systems we run actually work., • 🛑 You don't want to be an engineer. You've done the engineering thing. You'd rather solve customer problems than ship features. That's a feature, not a bug., • 🤝 You like being with customers. Branch offices, on the phone, at viewings, in their world. You'd rather be in a 10am customer meeting than a 10am sprint planning., • 📊 You're fluent in SQL. You don't ask the data team for numbers. You write the query, you check the output, you make the call., • 🧠 Structurally minded. You can take a messy implementation and turn it into a repeatable playbook by customer #3., • 🍎 Teacher's instinct. You can read the room when a 55-year-old branch manager isn't getting it. You break things into steps. You don't sigh., • 🤖 AI-native. Cursor, Claude, Lovable. You ship docs, internal tools, and training materials 10x faster than people who don't use them. We value taste, speed, and a maker's mindset over credentials. ⭐ Bonus points • Ex-engineer, ex-founder, or ex-forward-deployed engineer at a B2B SaaS or AI startup, • Prior customer-facing work on a solutions or implementation team, • Comfortable on UK rail. You'll be on trains to branches across the country regularly. 🚫 This role isn't for you if • You actually want to be an engineer (we're hiring engineers separately, this isn't the path), • You want to onboard customers from behind a screen, • You think customer-facing work is beneath your skill set, • You optimise for predictable hours or work-life balance, • Six days a week (in-office plus customer sites) sounds exhausting rather than energising 🔥 How we work We work hard. Six days a week, intense. On customer sites when launches are live, sometimes seven days a week. We're rebuilding a $1T+ industry and we don't think that happens on a 9-to-5. We're also having fun. The team is sharp, ambitious, and genuinely enjoys the work. If "six days a week" sounds exhausting rather than energising, this isn't the role for you. 🎁 What we offer • £55K-£75K base depending on experience, • Meaningful founding equity, • 🏥 Private health insurance, • 🚗 Uber home when you're working late, • 🍲 DoorDash dinners in the office, • 🧽 Monthly home clean, • 💻 Brand new MacBook, • Travel covered for customer site visits But the real offer is ownership. You define what the operator role is at Letty. You build the playbook. You decide what good looks like. No waiting for permission. 📌 Interview process • 15-min screen with our Founder's Associate, • 20-min screen with the CTO, • Technical/operator screen with the CEO, • Day trial in the office, • Offer

About Us: Tech Mahindra offers technology consulting and digital solutions to global enterprises across industries, enabling transformative scale at unparalleled speed. With 150,000+ professionals across 90+ countries helping 1100+ clients, TechM provides a full spectrum of services including consulting, information technology, enterprise applications, business process services, engineering services, network services, customer experience & design services, AI & analytics, and cloud & infrastructure services. It is the first Indian company in the world to have been awarded the Sustainable Markets Initiative’s Terra Carta Seal, in recognition of actively leading the charge to create a climate and nature-positive future. Job Description: Job Role: Data Engineer (RAG and Knowledge Backbone) Experience required: 4-10 years. Location:- London, UK Role Purpose Enable data grounding for agents, ensuring high-quality, secure, and context-rich retrieval. Key Responsibilities Data Ingestion • Build pipelines for PDFs, SharePoint, databases, and other enterprise sources, • Extract structured and unstructured data Chunking and Embeddings • Implement semantic chunking and metadata tagging, • Optimize embedding strategies Knowledge Systems • Build vector database pipelines, • Support knowledge graph use cases where applicable Access Control • Implement RBAC at document level, • Ensure secure and compliant retrieval Data Quality • Monitor data drift and schema changes Technical Stack Must Have • SQL and Python, • Experience with Airflow, AWS Glue, or Spark, • Experience handling structured and unstructured data, • AWS S3 and Athena (or equivalent data lake technologies) Good to Have • Vector databases, • Document parsing tools (Textract, Unstructured.io, or similar), • Kafka, • Knowledge graphs (Neo4j or Neptune), • GraphRAG exposure How To Apply: It's easy to apply online; you just need a copy of your up-to-date CV and to follow the step-by step process. Don't worry if you need to make changes - you'll have the opportunity to review and edit your work on the final page, or you can also share resume directly to provided email address. We look forward to receiving your application! Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions.

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.

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. £75k + bonus + benefits

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

Duration: Contract Workload: Full time hours Setup: Freelance (Daily rate / Limited Company / Umbrella / Sole Trader) Location: Remote (UK‑based) Overview We need a Lead Analytics Engineer to define, scale and future‑proof data practices for a complex Energy Intelligence Platform operating at real‑time scale. Key Responsibilities • Act as the technical architect for scalable, reliable analytics data models built on modern best practices., • Define and enforce analytics engineering standards across the data organisation, including CI/CD, testing and modular design., • Design advanced dimensional data models to support highly complex analytical and operational scenarios., • Own the long‑term vision for data modelling, quality and governance, including GDPR incident response., • Partner closely with Product and senior stakeholders to translate business goals into clear, scalable technical solutions and shape the analytics roadmap., • Champion a strong, data‑driven culture across cross‑functional teams. Must‑Have Skills • Mastery of dimensional data modelling and complex analytics engineering solutions., • Expert‑level SQL with strong hands‑on experience using dbt., • Proven ability to drive adoption of new standards, tools and patterns without direct authority., • Exceptional communication and stakeholder management skills across technical and non‑technical audiences., • Deep, end‑to‑end understanding of the data lifecycle from ingestion through to consumption. Nice‑to‑Have • Ownership of organisation‑wide data modelling or analytics engineering strategy., • Experience designing and implementing data governance frameworks., • Leading rapid proofs of concept for modern data tooling.

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: Senior Generative AI Data Engineer - Financial Services About the Job you are considering: We are seeking a Senior Generative AI Data Engineer with strong experience in financial services (banking, capital markets, insurance, or fintech) to design, build, and scale Gen AI-powered data platforms. This role combines modern data engineering, LLM/AI integration, and financial domain expertise to deliver enterprise-grade solutions across use cases such as: • Risk analytics & fraud detection, • Regulatory compliance automation, • Document intelligence (KYC, contracts, trade docs), • Customer insights & conversational AI You will work on cutting-edge technologies including LLMs, vector databases, RAG architectures, and cloud-native data platforms, helping organizations unlock value from structured and unstructured data. Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. Your Role: • Design and build end-to-end Gen AI pipelines using LLMs (Open AI, Azure Open AI, Anthropic), • Develop RAG architectures with vector databases (Pinecone, FAISS, Azure AI Search), • Optimize LLM outputs using prompt engineering, embeddings, and evaluation techniques, • Build AI solutions for document processing, compliance, and banking chatbots, • Develop scalable data pipelines using Spark, Databricks, Snowflake, and cloud platforms, • Implement batch and real-time data processing with structured and unstructured data, • Deploy solutions on cloud with CI/CD, MLOps tools, and ensure production reliability, • Collaborate with business teams, ensure compliance, and mentor teams on best practices Your Skills: • 7+ years in data engineering or AI engineering with strong Python and SQL expertise, • Experience with LLM frameworks (LangChain, LlamaIndex) and vector databases, • Hands-on with distributed computing (Spark, Databricks) and microservices architecture, • Cloud experience with Azure (preferred), AWS, or GCP and lakehouse platforms, • Familiarity with DevOps tools (Git, CI/CD, Terraform) and Docker/Kubernetes, • Financial domain expertise in banking, capital markets, or fintech environments, • Knowledge of risk, compliance, KYC/AML, fraud systems, and regulatory workflows, • Strong problem-solving, communication, and stakeholder management skills in agile setups We are a Disability Confident Employer: Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: • Declare they have a disability, and, • Meet the minimum essential criteria for the role. Please opt in during the application process. Make It Real (what does it mean for you): • You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions., • To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy., • You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more., • You will be joining one of the World’s Most Ethical Companies®, as recognised by Ethisphere® for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of. Why you should consider Capgemini: Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is. About Capgemini: Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion. Make it real | www.capgemini.com

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 careers@ixico.com 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 careers@ixico.com.

Job Title: SAP Manufacturing Senior Manager Grade: Senior Manager Base Location: London, Birmingham & Manchester The KPMG SAP Sectors Consulting function is a cornerstone of our business. We do work that matters to our local business and communities – supporting technical innovation and adoption of cutting-edge solutions across the UK & other geographical regions. Working on complex engagements across multiple sectors ranging from FMCG, Industrial Manufacturing, Defence, IGH etc. this team is responsible for the pre-sales/sales, business transformation and technical delivery of SAP solutions and trusted to get it right first time. KPMG is one of the world's largest and most respected consultancy businesses, we've supported the UK through times of war and peace, prosperity and recession, political and regulatory upheaval. We've proudly stood beside the institutions and businesses which make the UK what it is. Why Join KPMG as an SAP Manufacturing Consultant? The SAP S/4HANA Manufacturing Senior Manager will be responsible for leading the functional design, solution architecture and delivery oversight of SAP S/4HANA Production Planning solutions at enterprise scale. This role involves working closely with business stakeholders to define and shape manufacturing operating models, translating production and planning requirements into scalable SAP solutions aligned to best practices and fit-to-standard principles. As a Senior Manager, you will act as a functional authority across programmes, ensuring consistency of design, alignment to SAP standard, and integration across supply chain and finance. You will play a key role in driving client outcomes, managing senior stakeholder expectations, and supporting the successful delivery of S/4HANA programmes across all deployment models (on-premise, private and public cloud). What will you be doing? • Lead end-to-end manufacturing solution design across SAP S/4HANA programmes, covering planning, scheduling, execution and integration processes, • Act as a functional design authority, ensuring consistency, controlled deviation from standard, and alignment to enterprise architecture, • Define and own the manufacturing operating model and process taxonomy, covering:, • Master Data (Material Master, BOMs, Work Centres, Routings), • Demand Management and production strategies, • MRP (Material Requirements Planning), • Production / Process Orders and execution, • Capacity planning and shopfloor control, • Drive fit-to-standard workshops, challenging legacy manufacturing processes and steering stakeholders towards standard SAP solutions, • Provide functional leadership on S/4HANA manufacturing capabilities, including embedded analytics, Fiori applications and integration with advanced planning solutions (e.g., IBP, PP/DS) Design and govern integrated manufacturing processes, ensuring seamless interaction with MM, SD, QM, EWM and FI/CO, • Oversee data migration strategy and design for production master data and transactional data, • Define functional requirements for enhancements, integrations and reporting, and provide design governance across build activities, • Act as a trusted advisor to client leadership (Operations, Supply Chain, IT), translating complex manufacturing requirements into business-aligned solutions, • Lead and support pre-sales and business development, contributing to proposals and client conversations with strong manufacturing domain credibility, • Build and develop teams, mentoring consultants and strengthening manufacturing capability within the practice What will you need to do it? Functional & Solution Skills: • Deep expertise in SAP S/4HANA Manufacturing / Production Planning (PP) across core functional areas, • Strong experience designing and implementing end-to-end manufacturing processes, including:, • Production planning and demand management, • Material Requirements Planning (MRP), • Production / process order execution and confirmations, • Capacity planning and scheduling, • Shopfloor integration and control, • Strong understanding of manufacturing master data structures and their impact across planning and execution, • Deep knowledge of integration points across supply chain and finance, including MM, SD, QM, EWM and FI/CO, • Proven experience leading SAP Activate and fit-to-standard workshops in manufacturing environments, • Ability to define functional architecture and manufacturing operating models, not just solution configuration, • Strong understanding of S/4HANA manufacturing capabilities and innovations, including planning and analytics Experience: • Extensive SAP ERP experience, with a strong focus on Manufacturing / Production Planning on S/4HANA, • Proven experience as a functional lead / solution architect across complex S/4HANA implementations, • Delivery of multiple full lifecycle S/4HANA PP implementations (design through to go-live), • Strong track record in:, • Leading manufacturing design workshops with senior stakeholders, • Translating operational requirements into scalable SAP solutions, • Designing enterprise-level manufacturing operating models, • Experience managing multi-stream project delivery and cross-functional dependencies, • Strong stakeholder management, with ability to engage at Operations / COO / Supply Chain leadership level, • Experience in manufacturing industries with complex production environments, • Strong analytical capability and ability to simplify complex manufacturing challenges into structured solutions Skills we’d love to see/Amazing Extras: • Experience with advanced planning and manufacturing capabilities, including:, • Embedded PP/DS or similar scheduling tools, • Integration with SAP IBP or external planning systems, • Integration with MES / shopfloor systems, • Experience across manufacturing strategies such as:, • Make-to-Stock (MTS), • Make-to-Order (MTO), • Engineer-to-Order (ETO), • Industry experience across Manufacturing, Industrial Products, Consumer Goods or Process industries, • Experience facilitating end-to-end Plan-to-Produce design workshops, • Awareness of digital manufacturing trends, including:, • Industry 4.0 / smart manufacturing, • Automation and IoT-driven production, • Real-time production visibility and analytics, • Strong consulting capability, with ability to engage, influence and challenge stakeholders, • Proven ability to support business development and senior client presentations Desirable Attributes: • Excellent client-facing communication, presentation, and consulting skills, with the ability to articulate complex PP concepts clearly to diverse audiences., • Strong analytical, problem-solving, and troubleshooting abilities, with keen attention to detail in configuration and process design., • Self-motivated, proactive, and able to manage multiple priorities in a fast-paced environment., • Ability to work collaboratively in a team environment, lead junior consultants, and contribute to knowledge sharing., • Comfortable delivering presentations and facilitating workshops with client stakeholders., • Commitment to continuous learning and staying abreast of the latest SAP S/4HANA PP innovations and industry trends. Our Locations: We are open to talk to talent across the country but our core Tech hubs for this role are London, Birmingham, Manchester. 20 sites across the UK, we can potentially facilitate office work, working from home, flexible hours, and part-time options. If you have a need for flexibility, please register and discuss this with our team. Find out more: SAP Sectors Consulting sits aligns with KPMG Powered Enterprise practice where we have a range of divisions and specialisms. Click the links to find out more below: • KPMG Powered Enterprise: KPMG Powered Enterprise - KPMG UK, • KPMG SAP Services: KPMG SAP Services - KPMG UK, • ITs Her Future Women in Tech programme: www.kpmgcareers.co.uk/people-culture/it-s-her-future/, • KPMG Workability and Disability confidence: www.kpmgcareers.co.uk/experienced-professional/applying-to-kpmg/need-support-let-us-know/, • KPMG Consulting: Consulting (kpmgcareers.co.uk), • For any additional support in applying, please click the links to find out more:, • Applying to KPMG: www.kpmgcareers.co.uk/experienced-professional/applying-to-kpmg/, • Tips for interview: www.kpmgcareers.co.uk/experienced-professional/applying-to-kpmg/application-advice/, • KPMG values: www.kpmgcareers.co.uk/experienced-professional/applying-to-kpmg/our-values/, • KPMG Competencies: www.kpmgcareers.co.uk/experienced-professional/applying-to-kpmg/kpmg-competencies/, • KPMG Locations and FAQ: www.kpmgcareers.co.uk/faq/?category=Experienced+professionals

Senior Data Scientist - Propensity & Market Modelling The role A globally recognised technology company is growing its education segment - and data is at the heart of it. We need a hybrid Data Scientist who can build propensity models, size market opportunities, and engineer the pipelines to make it all work in production. This isn't a back-office analytics role. Your outputs go straight to senior leadership and drive sales strategy. What you'll be doing • Building an opportunity sizing model across K12, higher ed, and institutional markets, • Extending existing propensity models for the education segment, • Integrating third-party data sources into scalable, production-grade pipelines, • Presenting insights to senior commercial stakeholders What you need • Strong Python - the existing model suite is Python-heavy, • Advanced SQL - 5+ years, large complex datasets, Databricks a plus, • Proven propensity modelling experience - built and delivered, not just theoretical, • Genuine hybrid capability - data science and data engineering, • Confident communicator with non-technical stakeholders Education sector experience is a bonus - but not a dealbreaker. The Offer • Annual Salary range £75000 - £100000 doe, • 6 months contract PAYE (until end of Nov 2026) - Paid weekly via Principle HR, • Location: Reading/ London - flexible for the right person - 2 days Interested? Let's talk. Apply Now with your CV or just your LinkedIn profile. Som | som@principlehr.com

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

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

Analytics Engineer London Up to £60,000 This is a great opportunity to become the key Analytics Engineer within an early-stage data function, playing a defining role in how the organisation builds its lakehouse, models its core data, and shapes best practice for years to come. If you enjoy ownership, influence, and hands-on technical work across Databricks, data modelling, and pipeline development, this role offers genuine impact and long-term career growth. The Company They are investing heavily in their data capabilities and are building out a modern data stack to support smarter decision making across the business. The data team is still in its early stages, giving you the chance to help shape standards, strengthen their Databricks environment, and unlock more value from their growing data estate. Collaboration is central to how they work, with strong relationships across Technology, Finance, Operations and other key teams. The Role • Develop and maintain data pipelines across Databricks, Azure Data Factory and API-based integrations., • Work across transformation layers in Databricks, ensuring clean, well-modelled datasets., • Build and extend the Power BI data model, enabling reliable reporting and analytics., • Partner with stakeholders to understand requirements, validate assumptions and shape how data should be modelled., • Apply strong data modelling practices, including star schemas and Kimball methodologies., • Support the management of the lakehouse, including incremental loads, snapshotting and data quality., • Contribute to the relationship with Databricks to help expand adoption of its features., • Organise and maintain the existing platform, ensuring stability and clarity across data sources. Your Skills and Experience • Strong commercial experience with SQL and Python., • Hands-on experience working with Databricks, or a strong desire to deepen expertise in it., • Expert understanding of data modelling principles and semantic layer concepts., • Experience working with Azure Data Factory or similar orchestration tools., • Ability to translate business needs into logical, scalable data models., • Comfortable working across multiple data sources and handling pipeline design., • Experience with Power BI, including semantic models or Tabular Editor., • Curious, collaborative mindset with the ability to push back constructively and guide stakeholders.

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

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

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