Harnham - Data & Analytics Recruitment

Founding Software / Platform Engineer Stealth Fintech (London / Hybrid) Up to £150,000 + Equity I'm working with a stealth-mode startup that's building a GPU-backed trading platform , with the goal of making GPU trading efficient and unlocking price discovery in a completely new market. With strong interest from SF venture capitalists and a seed round expected to close next month , this is the chance to join at the most exciting stage of the journey. The founding team already includes world-class talent from MIT, Caltech, Harvard, Citadel, and Meta. They're now looking for a Founding Engineer with pedigree from top-tier tech or fintech companies, someone who can both lead and build , and who will play a visible role in fundraising as proof of the company's ability to attract exceptional talent. Why this role? Impact: Shape the architecture and scale of a trading platform in a completely new asset class. Visibility: Be part of the fundraising pitch and future public face of the company. Ownership: Drive technical decision-making across backend, infrastructure, and deployment. Growth: Join a team of proven founders with deep technical and financial expertise. What you'll be doing: Building and scaling a complex trading platform from the ground up. Improving and expanding cloud deployment processes (currently GCP). Leading on backend engineering in Python, with PostgreSQL for data storage. Expanding Terraform usage across deployments and managing Kubernetes clusters. Collaborating with the founding team on data acquisition, frontend, and platform scaling. What they're looking for: Strong experience from a recognisable tech scale-up or fintech (e.g., Revolut, Spotify, Bloomberg, etc.). Track record of building complex systems - either in financial services, B2B SaaS, or other data-heavy domains. Hands-on with Python, Terraform, Kubernetes, and cloud (GCP preferred) . Understanding of markets, trading systems, or brokerage platforms (Bloomberg, commodities, etc.) would be a big plus. Someone equally comfortable building as they are leading - you'll be in the trenches but also shaping the vision. Tech stack: GCP Python PostgreSQL Kubernetes Terraform React Typescript What's on offer: Founding-level equity + salary . A central role in the fundraising journey and future company growth. Work alongside some of the brightest minds in finance, AI, and engineering. The chance to define an entirely new market.

Role: Full Stack Engineer Salary: £80,000-£90,000 + Equity WFH: Fully Remote Overview Our client is a fast-growing RegTech startup using AI to transform how financial institutions approach AML and compliance workflows. They're hiring Full Stack Engineers to join a compact, fast-moving team working on two flagship products-an intelligent API for AML decision-making and an AI-driven report generation platform simulating the work of a financial crime analyst. The company is venture-backed, with an active client base across fintechs and ambitions to break into large-scale enterprise. This is a unique opportunity to have end-to-end impact-designing, building, and deploying features in an environment where engineering best practices are respected and expected. Key Responsibilities Design and build scalable backend and frontend components for core products Help establish technical standards, best practices, and delivery processes across the engineering team Drive feature development from concept to deployment, working autonomously or in small teams Collaborate with engineering leadership on technical direction and architectural decisions Work on complex problems involving data aggregation, report generation, and AI agent integration Contribute to product evolution based on customer feedback and internal roadmap Ideal Candidate 5-10 years' experience delivering production software in fast-paced environments Comfortable working across backend and frontend (slight backend lean preferred) Strong ownership mindset-able to ship features independently (build + deploy) Experience managing multiple workstreams in low-management settings Product-focused engineer who thrives in flat, startup-style team structures Good grasp of engineering best practices, code quality, and system design Tech Stack Python JavaScript / TypeScript SQL AWS (Cloud Infrastructure) Interview Process Technical Discussion (30-60 mins) Collaborative Co-working Session (60-90 mins) - Solve a real-world problem together via screen share Both stages are conducted remotely. Additional Details Urgent hire Equity included Sponsorship not available at this time

Lead Data Scientist LondonPrivate Equity£140,000 - £150,000 + benefits Harnham is working with a tech firm in the Private Equity space and hiring a few positions across Data Science, Machine Learning Engineering and Data Engineering. The company have an impressive founding team and hold a strong reputation within the Data & AI and Private Equity space. They partner with some leading investment firms in deploying AI and machine learning for the sole purpose of creating value. Often working in ambiguous and greenfield environments, you will collaborate with a strong team of technical people across multiple industries to solve complex commercial and data problems, delivering key data science initiatives that drive performance and revenue. In this role you will lead the technical teams that deliver value. The Role - Lead Data Scientist You will be: Working on multiple engagements within portfolio companies across various different industry sectors Delivering key Data Science / AI initiatives that drive value for customers. Shaping how projects are delivered, driving performance and working closely with C-level execs. Providing technical leadership across the business, with a focus on end-to-end machine learning solutions. Experience - Lead Data Scientist You will have: An M.Sc. or Ph.D. in: Machine Learning, Statistics, Applied Mathematics, Computer Science, Engineering, etc. Experience using Python is a must Knowledge of cloud technologies important (agnostic) A strong knowledge of statistical/machine learning models applied to real-world problems A keen interest in problem-solving and using scalable machine learning to solve data-related problems is important A focus on using data science to create value is essential A strong interest in working across a variety of different industry sectors and problem areas. BENEFITS Up to £150,000 base salaryCompetitive bonusThe opportunity to join a world-class and growing team HOW TO APPLY Please register your interest by sending your CV via the Apply link on this page. For further details or to enquire about other roles, please contact Nick Mandella at Harnham.

Director of Fraud Analytics Up to £130,000 London Hybrid The Company This is an exciting opportunity to join a leading global business and drive its fraud strategy and analytics function. You'll take charge of a high-performing fraud team, expand the function worldwide, on-board new vendors, and shape the company's long-term fraud prevention road-map. The Role As a Director of Fraud Analytics, you will be: Leading the fraud strategy and fraud analytics function for the global business Build out strategies and controls for fraud, financial crime, and spams Leading a team to develop fraud prevention models and strategies Setting out the fraud prevention roadmap in the short and long term Using SQL and Python daily for analysis and fraud rule development Managing, hiring, and building out the fraud function on top of an existing strong team Your skills and experience To be successful as a Director of Fraud Analytics, you will need: Experience managing a Fraud Analytics team Strong experience developing Fraud strategies for Payments Fraud Strong working experience coding in SQL and Python Experience working for a payment business and/or fintech STEM Degree from a top university Salary + Benefits Up to £130,000 + Bonus + Equity

POWER BI DEVELOPER Up to £50,000 + BENEFITS HYBRID - Leicestershire I am looking for a Power BI Developer to join a finance-focused data team. You'll be at the heart of turning data into insights across four business-critical finance areas, helping shape decision-making and drive self-service analytics. THE COMPANY: This business is moving toward a modern Gold Standard Medallion Architecture, with a focus on empowering teams through self-service analytics and scalable reporting. The data team is central to how finance operates, and your dashboards will have real visibility and impact across the business. THE ROLE: A Power BI Developer will need to: Collaborate with SQL engineers to design and deliver Power BI dashboards Partner with finance stakeholders to gather requirements and deliver tailored reporting Build engaging visualisations that use data storytelling to influence decisions Drive the adoption of self-service analytics and reduce reliance on ad hoc queries YOUR SKILLS AND EXPERIENCE: A successful Power BI Developer will have the following: Power BI experience (end-to-end dashboard development) PL-300 certification Excellent communication skills for stakeholder engagement and requirements gathering THE BENEFITS: You will receive a salary of up to £50,000, depending on experience. On top of this, there are excellent benefits and the chance to be part of a transformational data journey. HOW TO APPLY: Please register your interest by sending your CV to Molly Bird via the apply link on this page.

Founding Engineer London (Hybrid) Up to £80,000 + Equity I'm working with an ambitious early-stage startup on the hunt for a Founding Engineer to join their core team. This is a rare chance to come in at the ground floor of a venture-backed company that's already secured early traction and industry partnerships. They've recently launched their MVP, which is already in the hands of customers, and now they're looking for a talented builder who's excited to take ownership of the technical vision, architecture, and scaling of the platform . Why this role? Impact: You'll be shaping the product and the company itself, not just the codebase. Ownership: Full control of the tech stack, from infrastructure through to architecture. Growth: Co-founder level equity alongside salary. Mission: Building tech that transforms how Investor Relations teams operate in alternative asset management. What they're looking for: 4+ years' experience as a full-stack engineer in a fast-paced environment. Hands-on with Next.js, Typescript (React/Node), Tailwind, SQL (Prisma), and Azure . Bonus points for experience with: LLM APIs (OpenAI, Anthropic), Retrieval Augmented Generation pipelines, Python, serverless architecture, or Microsoft Office Add-ins. Strong product mindset and passion for building. You may have tried a startup yourself or hacked together side projects just because you couldn't resist. Someone who thrives on execution, delivery, and efficiency (familiarity with AI-assisted coding like Copilot is a plus). What's on offer: Co-founder equity + salary package. The chance to truly own and shape the product roadmap and tech vision. Work alongside a small but experienced founding team with deep industry ties and a clear distribution path. This is a role for someone who's excited by building from scratch, scaling quickly, and solving real-world problems with cutting-edge tech. If you're looking to put your stamp on a venture where your decisions genuinely shape the future - this is it.

Full Stack Engineer - Python/Django + React Fully Remote Outside IR35 £520/day 3-month contract (likely extension) Candidate must be UK-based - No Sponsorship Available We are seeking an experienced Full Stack Engineer to join a fast-growing health-tech scale-up on an initial 3-month contract. You'll be working end-to-end across backend and frontend, designing and delivering features that power both internal and customer-facing applications. This role combines building intuitive, high-performing UIs with developing scalable backend systems, integrating services, and ensuring performance and reliability across distributed systems. What you'll do Deliver full-stack features from concept to deployment using Python/Django and React/TypeScript Build and enhance dashboards, admin panels, APIs, and backend processes Improve system observability, monitoring, and debugging capabilities Work in a collaborative, agile team with 2-week sprints and daily stand-ups Engage in discovery work and adapt quickly to shifting priorities Tech stack Must have: Python, Django, React, TypeScript Nice to have: Ruby on Rails, Next.js, distributed systems experience, observability tooling What we're looking for Strong experience delivering both frontend and backend features Ability to translate requirements into clean, maintainable, and scalable code Excellent communication skills in a remote-first setting Analytical approach to solving technical problems Contract details Length: 3 months (likely extension) Rate: £520/day (Outside IR35) Start: ASAP Location: Fully remote (UK-based) Interview process Architectural design challenge 90-minute interview to review your approach and technical decisions Fast turnaround decision If you're a full stack engineer with a passion for building impactful, high-quality software across the stack, we'd like to hear from you.

FULL STACK ENGINEER (PYTHON/DJANGO) 3-6 months £470-£520 PER DAY REMOTE (UK-BASED) We're partnering with a fast-scaling Healthcare company on a high-impact contract for an experienced Full Stack Python/Django + React Engineer. This project focuses on enhancing a cloud-based healthcare platform that streamlines patient onboarding, diagnostics, and treatment journeys. If you thrive on solving complex technical challenges with elegant, scalable solutions and enjoy working across the stack, this is for you. THE CLIENT Our client is a digital health innovator providing data-driven tools that empower clinicians and improve patient outcomes. Their engineering team is collaborative, quality-focused, and driven by the mission to modernise healthcare delivery. You'll be building and optimising systems used by thousands of practitioners and patients daily, with a direct impact on care efficiency and accessibility. THE ROLE You'll work within a cross-functional product team responsible for developing new features and optimising the existing platform. The system integrates with multiple data sources, handles sensitive healthcare data securely, and delivers a seamless experience across devices. You'll contribute to both backend (Python/Django) and frontend (React) development, ensuring high performance, security, and scalability. Key responsibilities: Designing, building, and optimising APIs and backend logic using Python/Django Developing dynamic, responsive front-end features using React and related libraries Working with relational databases (PostgreSQL) and optimising SQL queries Implementing secure authentication and authorisation flows Integrating with third-party APIs and services Writing maintainable, testable code and participating in peer code reviews Collaborating with designers, product managers, and QA to deliver high-quality releases SKILLS & EXPERIENCE Strong commercial experience with Python/Django and React Solid understanding of REST API design and integration Proficiency with relational databases (PostgreSQL preferred) Experience in secure coding practices, ideally within regulated environments (healthcare, finance, etc.) Familiarity with cloud platforms (AWS/GCP) and CI/CD pipelines Strong problem-solving skills and ability to work autonomously in an agile environment Experience with healthcare systems, interoperability, or patient-facing platforms is a plus HOW TO APPLY Please register your interest by sending your CV or via the apply link.

AI Data Science Consultant 7 monthsPrimarily remote, with shared office space once per week (london).Occasional client meetings - max 1 day per week on-site. About the Company London-based consulting firm Small, highly specialised team of industry and subject matter experts Focus areas: Uncrewed Aircraft Systems (UAS / drones) , Sustainable aviation, Advanced Air Mobility (AAM) Vision: Empower the aviation industry to achieve a sustainable future - Through advanced technology, deep industry knowledge, and collaboration Mission: Help aviation organisations deliver optimised, sustainable, and resilient solutions Driven by a passion for innovation and impact in aviation Secured funding for a regulatory innovation office, primarily focused on exploring how AI can be applied to drone policy development and implementation. Around 95% of the work is in partnership with the CAA (Civil Aviation Authority). The project is scheduled to start on 1st September and run until the end of March (7-month contract) Team There's already a core team with strong policy and consulting experience, along with front-end developers on the user side. They're working with external technical people on a consulting basis Project Join a close-knit team working on Drone flight initiatives Collaborating with: Central government, Regulators, Industry stakeholders New project focus: Researching and prototyping AI-based tools, Supporting UAS policy development, Assisting operators in applying policy Project aims to Shape the UK's approach to safe and efficient drone regulation This is a discovery-phase role focused on exploring and prototyping AI applications in drone regulation. Project goals include: Identifying where AI can support policy development Building POCs and prototypes Delivering a business case outlining various AI use cases and feasibility Exploring use of NLP tools to process and interact with policy documents Developing support tools like chatbots or interactive guidance systems Role Overview The candidate will work alongside a multidisciplinary team of aviation consultants, AI engineers, policy experts, and UX developers. The role involves: Prototyping AI/NLP tools for policy analysis and consultation feedback processing Building retrieval-augmented generation (RAG) systems to provide policy guidance Preparing datasets and pipelines using structured and unstructured regulatory data Contributing to model evaluation and iteration based on user feedback Developing prototype tools to support operators, such as chatbots and evidence-checking features Documenting technical processes and outcomes for R&D reporting Key Responsibilities Identifying opportunities to apply AI techniques across the policy development lifecycle Cleaning, transforming, and preparing data for AI models Implementing and fine-tuning NLP models for tasks such as classification, clustering, and sentiment analysis Assisting in the development and testing of AI features for internal proof-of-concept tools Collaborating with the UX and front-end team to ensure output usability Supporting model integration and testing under the guidance of the AI Engineer Ideal Candidate Profile Not purely technical - someone with a management consultancymindset, able to handle ambiguity and blend strategy with delivery MSc with some practical elements (recent grad or early career) Strong communication and collaboration skills Comfortable working independently and taking initiative Flexibility in working across evolving priorities Background in AI, NLP, or policy-related AI applications A person with strong technical skills might see this as a short-term contract, whereas a more well-rounded candidate could fit longer-term needs. Desirable Skills Familiarity with retrieval-augmented generation (RAG) architectures Experience with front-end data visualisation Understanding of UAS (drones), aviation, or other regulated industries Involvement in agile software development environments Strong communication skills, particularly the ability to explain technical ideas to non-technical audiences

Senior Revenue Management Analyst £50,000-£55,000 + excellent rail benefits + final salary pension Hybrid (2-3 days office-based, South East) Are you commercially minded with a knack for data and a passion for turning insight into action? This is a great opportunity to join the commercial function of a major UK transport provider in a high-impact analytical role. As a Senior Revenue Management Analyst , you'll take ownership of a specific route and be responsible for monitoring, reporting on, and optimising revenue performance. This is a hands-on role combining regular analysis with strategic input and live decision-making. What you'll be doing: Lead revenue management for a key route, making data-led decisions to optimise performance Produce weekly route reports and industry-standard four-weekly reports for senior stakeholders Monitor current sales and take real-time action where performance dips Collaborate across teams to drive commercial strategy and support wider revenue initiatives Use your insight to propose new ideas and influence future decisions What we're looking for: Strong Excel skills and confidence working with large datasets Willingness to learn and use a bespoke revenue management system (training provided) Commercially aware, proactive, and comfortable making informed decisions A team player who's happy to support others when needed Enthusiastic, detail-oriented, and curious - someone who wants to make an impact Desirable (but not essential): Experience in revenue management, pricing, transport, or regulated industries A genuine interest in the rail sector and a desire to understand how it works Exposure to forecasting, modelling, or working closely with finance teams Why join? Final salary pension scheme Free rail travel on the network for you, your partner, and dependents 75% discount on rail travel across the UK A growing, data-focused commercial team making a real difference Hybrid working with a collaborative and supportive team culture Interview process: Stage 1 : 30-minute Teams interview (introductory and values-based) Stage 2 : In-person Excel/data task followed by a competency-based interview If you're ready to apply your analytical skills in a dynamic and meaningful environment, we'd love to hear from you.

DATA ENGINEERING MANAGER BRIGHTON - 1 DAY PER WEEK £85,000 Our client is seeking a proactive and experienced Data Engineering Manager to join their fast-growing tech company. If you're passionate about AI-driven sales solutions and want to lead a talented team, this could be your next exciting opportunity. THE TEAM: This company has built a cutting-edge AI-driven customer interaction platform that helps their customers find exactly what they need, acting as an intelligent online assistant. Thanks to significant investment, they've grown rapidly and are now expanding into new industries. They're especially excited about their next-generation AI product, designed to transform the sales journey, making it more human-like and insightful. This new product is already live with a few existing clients and catching the attention of new clients. THE ROLE: You'll join their Data team, reporting directly to their Head of Data, and play a crucial role in shaping their architecture and systems. You'll lead and mentor a team of three talented Data Engineers, guiding them on projects and helping gather requirements. This is a hands-on role where you'll be actively involved in product development, supporting both their existing solutions and their cutting-edge AI platform. YOUR SKILLS AND EXPERIENCE: The ideal Data Engineering Manager will have: Proven experience in a Data Engineering role, ideally with some prior management or lead responsibility. A real passion for coaching and developing engineers. Hands-on experience with their tech stack - any cloud, Snowflake (or equivalent), Python, Airflow, Docker Ability to juggle multiple products and effectively gather requirements. Experience with real-time data products is a big plus. Strong communication skills and a good academic background. HOW TO APPLY: Ready to take the next step in your career with a leading global firm? Please register your interest by sending your CV via the Apply link on this page.

Senior Data Governance Analyst Salary: up to £40,000 Based: Birmingham - 3x week in office Are you passionate about data governance and looking to grow your career in a dynamic and regulated financial services environment? We're seeking a Data Governance Senior Analyst to support the operational side of data governance within a financial service. You'll play a key role in content management, data quality reporting, and stakeholder engagement. What You'll Do Support data governance managers in project scoping and content gathering Upload data assets into our central governance hub Assist with tracking and reporting data quality metrics using Ab Initio Produce and manage monthly KPI reports Liaise with stakeholders across the business to ensure accurate data delivery What You'll Need A curious and proactive mindset with the willingness to learn governance tools Strong admin and reporting skills (Excel, PowerPoint required; SQL a bonus) Understanding of data management and privacy principles Previous experience in financial services or a regulated industry (preferred)

Data Analyst East Midlands (Hybrid) £40,000-£50,000 The Company A household retailer is seeking a Data Analyst to join the team and supporting their Finance function; this is an opportunity to join a collaborative team that works across high-profile third-party brands, from global sportswear labels to well-known fashion names - great opportunity to help drive sustainable profitability! The Role As the Data Insight Analyst, you will work closely deliver impactful analysis and insights to support Finance teams as well as other departments across the business. Your work will span commercial performance reviews, sales trend analysis, and supporting new brand launches Key Responsibilities: Analyse brand-level profitability, spotting trends and opportunities for improvement Use SQL and Power BI to build and maintain reports and dashboards Partner with buying, merchandising, and home/fashion teams to evaluate opportunities Provide clear, actionable insights to inform senior stakeholder decision-making Support spend monitoring, forecasting, and commercial performance appraisal Your Skills and Experience Good SQL experience Data Viz experiecen - Power BI preferable but not essential Excellent communication skills with the ability to tell a story with data The Benefits £40,000-£50,000 How to Apply Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

Finance Analyst - Up to £47,000 (+ c.10% discretionary bonus) Leicester - Hybrid (3 days per week in office) The Company A leading UK retailer with a national store network and a major online presence. Alongside its own ranges, the business partners with third-party brands via its multi-brand 'Label' division. You'll join the finance analytics team that supports this high-growth area, providing data-driven insight to the Home and Fashion categories. The Role This is a data-heavy, commercially focused role reporting to a Finance Manager within the multi-brand (Label) team. You'll use advanced SQL and data visualisation (Power BI preferred) to turn large, complex datasets into clear insights for senior stakeholders. Day-to-day you'll analyse sales performance, promotions, inventory and supply-chain signals to explain 'what happened' and 'what to do next'-helping the business optimise revenue, margin and availability across categories. Key Responsibilities Own the extraction, transformation and analysis of large datasets using SQL (and Databricks/Python where appropriate). Build and maintain automated Power BI dashboards and ad-hoc reports for Home and Fashion stakeholders. Assess promotional performance and category trading: quantify uplift, cannibalisation, halo effects and ROI; recommend next actions. Blend sales, warehouse and supply-chain data to flag risks/opportunities (e.g., availability, fulfilment bottlenecks, overstocks). Translate complex analysis into concise, visual stories; present findings to finance and commercial leaders. Partner with category managers and the wider multi-brand team to shape trading and pricing decisions. Support requirements gathering for a new finance system implementation; validate data structures and ensure reporting continuity. Champion data quality, documenting logic/definitions to drive consistent insight across the function. Your Skills & Experience Essential: 2+ years in a data/analytics, finance analytics or commercial insight role. Advanced SQL (able to write complex joins/CTEs/window functions on large tables). Data visualisation and dashboarding (Power BI preferred; Tableau considered). Strong stakeholder communication-able to influence non-technical audiences with clear, actionable recommendations. Evidence of turning analysis into commercial outcomes (add examples on your CV: revenue, margin, availability, cost savings). Nice to have: Databricks and/or Python for data processing/automation. Retail or consumer background; understanding of trading, promotions and supply chain KPIs. Exposure to finance/reporting processes (e.g., KPI packs, month-end, budgeting/forecasting). The Benefits Salary up to £47,000 (sweet spot £44-45k) plus c.10% discretionary bonus. Hybrid working (3 days per week in the Leicester office). High visibility across Home & Fashion trading teams and Finance leadership. Real ownership of dashboards, analytical models and stakeholder relationships. Clear progression pathways within a well-resourced analytics function. Interview Process Stage 1: 30-minute with the Finance Manager (fit, communication, experience). Stage 2: On-site technical interview (SQL assessment) with the Financial Controller; discussion of your approach to real trading problems. How to Apply Please send your CV to Mohammed Buhariwala at Harnham via the Apply link on this page. Shortlisting will prioritise candidates who evidence strong SQL, Power BI and stakeholder-led commercial impact.

Role: 12 month FTC - Data Engineer Salary: £60,000-£65,000 WFH: Fully Remote Start Date: September/October 2025 I'm working with a leading global retail brand to find a talented Data Engineer who can help shape and deliver their evolving data strategy. This role is perfect for someone who loves building robust, scalable data pipelines and turning complex datasets into actionable insights for the business. In this role, you will: Develop and maintain a cloud-based data warehouse (BigQuery, GCP) Create and optimise ETL processes (SSIS, Talend, Airflow) Collaborate with BI teams to deliver key performance metrics Ensure data quality, security, and cost-efficient storage What you'll bring: Strong SQL and data modelling skills Data warehouse design experience (BigQuery a plus) BI tool experience (Power BI preferred) Cloud architecture knowledge and problem-solving flair Bonus: ERP knowledge (Microsoft NAV/Business Central) or ML skills in Python/R If you're a proactive Data Engineer ready to join a fast-paced, data-driven retail environment, get in touch today to find out more. Message me or apply now to explore this opportunity.

SENIOR DATA ENGINEER £65,000-£70,000 + BENEFITS PRIMARILY REMOTE A leading company in the retail industry is seeking a proactive Data Engineer to join their innovative team. THE COMPANY: This is a well-established brand driven by an ambitious vision. They are currently investing in their data team, and are looking for a Data Engineer to help gather requirements and build solutions. THE ROLE: A Data Engineer will need to: Work closely with stakeholders across the business Manage data warehouse end-to-end (gathering requirements and building solutions) Helping to build data models YOUR SKILLS AND EXPERIENCE: A successful Data Engineer will have the following skills and experience: Ability and experience interacting with key stakeholders Strong experience in SQL/Python Experience with Azure/ADF Background in CI/CD THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic extra benefits. HOW TO APPLY Please register your interest by sending your CV to Molly Bird via the apply link on this page.

DATA ENGINEER £65,000 + BENEFITS Remote (UK based) Looking for a role where you can take ownership of a modern cloud data warehouse, optimise pipelines, and make data more scalable, reliable, and cost-effective? THE COMPANY: I'm working with a global retail & e-commerce brand that's expanding rapidly across the UK. With a growing digital and physical presence, their central data team plays a key role in powering insights across e-commerce, retail, finance, and marketing. THE ROLE: This is a hands-on data engineering role where you'll focus on building, optimising, and scaling pipelines into BigQuery (GCP) from a wide range of sources. You'll work closely with BI developers and analysts to ensure clean, reliable data is available for reporting and decision-making. Manage and optimise pipelines from ERP, website, APIs, app stores, social media, and more. Work with BigQuery, Google Buckets, Python scripts, and Talend (transitioning to Dataform/Cloud workflows). Support migrations between GCP projects and ensure the warehouse is scalable and cost-efficient. Partner with BI teams to prepare and transform data for reporting in Power BI and Looker. YOUR SKILLS AND EXPERIENCE: A successful Data Engineer will have the following skills and experience: Strong hands-on experience with BigQuery & GCP (essential). Solid SQL skills, with a focus on optimisation and performance tuning. Experience working with APIs and data pipelines. Python for automation and bespoke data jobs. Knowledge of BI tools (Power BI / Looker) - good to have for connecting and enabling reporting. THE BENEFITS: You will receive a salary up to £65,000 depending on experience, plus a competitive benefits package. HOW TO APPLY: Please register your interest by sending your CV to Molly Bird via the apply link on this page.

SENIOR DATA ENGINEER £65,000-£70,000 + BENEFITS PRIMARILY REMOTE A leading company in the retail industry is seeking a proactive Data Engineer to join their innovative team. THE COMPANY: This is a well-established brand driven by an ambitious vision. They are currently investing in their data team, and are looking for a Data Engineer to help gather requirements and build solutions. THE ROLE: A Data Engineer will need to: Work closely with stakeholders across the business Manage data warehouse end-to-end (gathering requirements and building solutions) Helping to build data models YOUR SKILLS AND EXPERIENCE: A successful Data Engineer will have the following skills and experience: Ability and experience interacting with key stakeholders Strong experience in SQL/Python Experience with Azure/ADF Background in CI/CD THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic extra benefits. HOW TO APPLY Please register your interest by sending your CV to Molly Bird via the apply link on this page.

ECOMMERCE DATA ANALYST HYBRID - LONDON - 3X A WEEK (MON, TUE, THU) SALARY UP TO £50,000 Please note, this company is unable to offer sponsorship, and you must be a UK resident to apply THE COMPANY This fast-growing D2C brand is making waves in the personal care space. With a recently launched modern data platform and a centralised data team in place, they're investing heavily in using data to scale smarter and faster. The marketing operation is split across Influencer and Performance Marketing, and both teams are now looking to level up their data support, which is where you come in. THE ROLE As an Ecommerce Data Analyst, you'll sit within the central data team and act as a key link between data and marketing. You'll provide actionable insights, automate reporting, and reduce manual workstreams, particularly for the Influencer and Performance Marketing teams. Your responsibilities will include: Supporting the Influencer Marketing team by cleaning and analysing campaign data, building reports, and automating repetitive tasks. Partnering with the Performance Marketing team (Google, Meta, Snap) to deliver insights and campaign reports. Designing and building dashboards in ThoughtSpot (or similar). Writing SQL queries across Snowflake (and DBT pipelines). Identifying opportunities to streamline reporting processes and reduce reliance on spreadsheets/manual input. Presenting findings and performance insights back to marketing stakeholders in a clear, actionable way. REQUIREMENTS Must-Have: Strong SQL skills. Proven experience in marketing/ecommerce data analysis. Experience working with dashboarding tools (ThoughtSpot, Looker, Tableau, etc.). Commercial awareness of core marketing metrics (CAC, ROAS, attribution, etc.). WHY WORK HERE? Join a rapidly growing brand with a loyal customer base and clear mission. Work closely with marketing and have real ownership over data strategy and delivery. Be part of a small, collaborative data team where your work has high visibility and direct impact. Influence how data is used across the business; from manual to modern, static to scalable.

MLOps Engineer London£60,000-£70,000 About the Role: Join a cutting-edge technology company at the forefront of immersive experiences powered by machine learning and extended reality. We are seeking a skilled MLOps Engineer to help build, deploy, and maintain scalable machine learning infrastructure that drives innovation in our products. You will play a critical role in developing scalable ML infrastructure that powers immersive XR applications with real-time 3D content. Key Responsibilities: Design, develop, and maintain scalable MLOps pipelines tailored for XR applications, ensuring smooth deployment and monitoring of machine learning models. Collaborate closely with 3D artists and XR developers to integrate machine learning workflows with 3D rendering engines. Optimize ML models and workflows for real-time inference within 3D environments and XR platforms. Manage cloud infrastructure and automation tools to support continuous integration and continuous deployment (CI/CD) of ML models. Troubleshoot and resolve performance bottlenecks related to ML inference and 3D rendering workloads. Develop monitoring solutions to track model performance and system health in production. Stay up to date with the latest trends in MLOps, XR technologies, and 3D rendering techniques to propose innovative improvements. Qualifications: Proven experience as an MLOps engineer or similar role with a focus on 3D applications Strong programming skills in Python, and familiarity with ML frameworks (TensorFlow, PyTorch, etc.) Expertise in 3D reconstruction and rendering Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker) Excellent problem-solving skills and ability to work cross-functionally in a fast-paced environment Please register your interest for this role by sending your CV to Rosie O'Callaghan via the apply link on this page