Harnham - Data & Analytics Recruitment

Senior AI Engineer London Hybrid (3 days per week) Up to £120,000 This is an opportunity to join a growing, data-focused organisation that is investing heavily in AI to drive product innovation and business performance. You will play a key role in designing and building production AI systems, working in a collaborative environment where engineering quality and real-world impact are prioritised. The Company They are a scaling, data-led business with a strong focus on leveraging AI and machine learning to enhance their products and services. With a modern technology stack and a clear roadmap for growth, they are building out their AI capability to support increasingly complex use cases. The culture is collaborative, delivery-focused, and encourages ownership across engineering teams. The Role Design and deploy production-grade AI and machine learning models Build and maintain scalable data and AI pipelines Work closely with data, engineering, and product teams to deliver impactful solutions Contribute to system architecture and engineering best practices Improve model performance, monitoring, and deployment processes Your Skills and Experience Strong commercial experience building and deploying AI and machine learning solutions Advanced proficiency in Python and modern ML libraries and frameworks Experience working with cloud platforms and scalable data systems Understanding of MLOps, model lifecycle, and deployment best practices Ability to collaborate effectively in a cross-functional environment What They Offer Salary up to £120,000 Hybrid working in London, 3 days per week onsite Opportunity to work on high-impact AI initiatives Modern tooling and a strong engineering culture Clear progression as the team continues to grow

Senior Marketing Data Analyst (12 month FTC) London - hybrid 3x a week in office Up to £80,000 This is a high-impact opportunity for a Marketing Data Analyst (FTC) to join a well-established, data-driven business operating at scale. You will work with large and complex digital marketing datasets, partnering closely with senior stakeholders to deliver insights that directly influence commercial performance. This role offers strong visibility, ownership of a key domain, and the chance to shape data-driven decision making within a collaborative analytics function. The Company They are a global, technology-led organisation with a strong focus on digital products and customer experience. Operating across multiple markets, they manage large volumes of customer and marketing data, investing heavily in analytics capabilities. The business has built a mature data function that partners closely with commercial, product and marketing teams. They offer a fast-paced environment with a strong emphasis on innovation and continuous improvement. The Role Analyse performance across digital marketing channels to deliver actionable insights Partner with marketing stakeholders to optimise campaigns and improve ROI Provide insight into customer acquisition, engagement, retention and lifetime value Design and analyse A/B tests to support experimentation and performance improvement Build dashboards and enable self-serve analytics for non-technical stakeholders Collaborate with product, engineering and analytics teams on data solutions Act as a key point of contact for marketing analytics, influencing decision making Your Skills and Experience Strong SQL capability and experience working with large datasets Proven experience in performance analytics within a digital environment Hands-on experience with experimentation and A/B testing Familiarity with tools such as Google Analytics or similar platforms Experience with data visualisation tools such as Looker or equivalent Strong stakeholder management and communication skills Exposure to modern data tools such as DBT is beneficial What They Offer 12-13 month fixed term contract with realistic potential for extension or longer-term opportunity Access to learning, development and a collaborative analytics community How to Apply If you are a commercially minded Marketing Data Analyst looking to make an impact in a fast-moving, data-led environment, apply now to find out more.

SENIOR DATA ENGINEER £75,000 LONDON This is a brilliant opportunity to join a well-known, purpose-led organisation at the start of a major data transformation. You'll play a pivotal role in building a modern data platform from the ground up, working in a highly creative environment with real impact across the business. THE COMPANY Our client is a large, publicly funded organisation within the arts and entertainment space, employing around 1,000 people across multiple iconic venues. They've recently brought in a new Director of Data & Insights to elevate their data capabilities, with a strong focus on innovation, AI, and unlocking value from their data.This is a greenfield opportunity where you'll help shape the data strategy and engineering standards in a collaborative, non-corporate environment. THE ROLE Lead the design and delivery of a cloud-based Lakehouse platform using Microsoft Fabric Build scalable data pipelines and implement Medallion architecture Develop robust data models across multiple business domains Establish best practice engineering standards and data governance Manage and mentor a small team of data engineers (minimum 2) Work closely with stakeholders to translate business requirements into scalable data solutions Enable downstream analytics, including Power BI semantic models and dashboards Contribute to long-term AI and data innovation initiatives YOUR SKILLS AND EXPERIENCE: 6+ years' experience in data engineering Strong expertise in data modelling (dimensional modelling and semantic layer design) Hands-on experience with Microsoft Fabric and/or Azure data services Proven end-to-end delivery across the data lifecycle (through to visualisation) Experience managing or mentoring engineers Strong stakeholder engagement and communication skills Nice to have: Experience working across multiple datasets/business domains Exposure to AI or advanced analytics use cases Background in high-growth or less mature environments SALARY AND BENEFITS £75,000 Hybrid working (2-3 days in office) Pension scheme Inclusive and purpose-driven working environment HOW TO APPLY Please register your interest by sending your CV to Harry Lack through the 'Apply' link

Data Engineer (Music Ecosystem) Remote This is a unique opportunity to work at the intersection of data engineering and the music industry, shaping how complex, multi-source data is transformed into meaningful, real-time insight. You will play a central role in building scalable data infrastructure that supports decisions across commercial, creative, and operational teams. The Company They are a data-driven organisation operating across multiple areas of the music ecosystem, including artist management, record label operations, and production. Their approach combines commercial insight with technical innovation to better understand and optimise artist performance and catalogue value. Working across a diverse portfolio, they rely on robust, well-structured data to power decision-making. This is a collaborative environment where data plays a key role in driving growth and efficiency. The Role and Deliverables Design, build, and maintain scalable ETL and ELT pipelines that ingest data from streaming platforms, social media networks, and ticketing systems Integrate data across label, management, and external tracking sources to create a unified view of artist and catalogue performance Develop and optimise data models, including those supporting producer division metrics such as royalties, financial forecasts, and cost tracking Enhance and manage the central data warehouse to ensure efficient schema design and accessibility across teams Deliver the backend infrastructure for real-time dashboards, enabling seamless data flow for end users Implement and uphold data governance, privacy, and compliance standards, including secure handling of personally identifiable information Your Skills & Experience Strong experience working within the music industry, with a practical understanding of its data landscape and challenges Advanced proficiency in Python for data engineering and strong SQL skills for data modelling and analysis Experience building and orchestrating data pipelines using tools such as Airflow or dbt within cloud-based environments Expertise in developing clear, user-friendly dashboards using tools such as Tableau or Looker Studio Deep understanding of music metadata, streaming analytics, and multi-platform reporting Strong knowledge of data privacy regulations and best practice in secure data management How to Apply If you are looking to apply your data engineering expertise within a complex and evolving music ecosystem, please apply to learn more about this opportunity.

Senior SEO Manager Derby (4 days per week on-site) Salary up to £45,000 This is a strong opportunity for a Senior SEO Executive to step into a high-impact role within a large-scale eCommerce environment. You will work on high-traffic websites where SEO is a key commercial driver, giving you genuine visibility and influence across digital performance. The Company They are a well-established retail business operating across multiple consumer brands, with a significant online presence and global reach. The organisation is performance-driven, with digital channels playing a central role in growth. SEO is deeply embedded across both marketing and commercial teams, ensuring strong collaboration and impact. The environment is fast-paced, offering clear progression opportunities for those who take ownership and deliver results. The Role You will support the delivery of the SEO strategy and take ownership of day-to-day optimisation across core site areas. Make recommendations to improve organic rankings, traffic, and overall site performance Identify opportunities across keyword targeting, category optimisation, and content strategy Conduct technical SEO audits and resolve underlying site issues Optimise site architecture, internal linking, and on-page content Collaborate with content teams on category pages, landing pages, and guides Support link-building initiatives and carry out backlink analysis Monitor performance and report on key SEO metrics using industry tools Manage a small team of 1-2 Your Skills & Experience Strong commercial experience in SEO, either in-house or agency-side Confident taking ownership of tasks and managing priorities independently Solid understanding of technical SEO, on-page optimisation, and keyword strategy Experience using tools such as Screaming Frog, Google Search Console, and GA4 Familiarity with platforms such as SEMrush, Pi Datametrics or similar Analytical mindset with the ability to interpret data and drive insights Clear communication skills and a collaborative approach What They Offer Opportunity to work on large-scale eCommerce platforms Strong career development within a high-growth digital environment Access to leading SEO tools and external agency support Benefits including employee discounts, wellbeing support, and learning resources Performance-based reward schemes and internal recognition programmes How to Apply If you are looking to take the next step in your SEO career and work in a high-impact, commercially driven environment, apply now.

SAS Model Developer (Contract) London, Outside IR35 This contract offers the chance to own end-to-end model delivery within a lean analytics function, working on business-critical modelling initiatives with real production impact. You will join a small, highly capable team where autonomy, technical depth, and clear delivery are valued. The Company They are a data-driven organisation with a strong focus on pricing and analytics. Operating within a compact analytics team, they are investing in robust, scalable modelling solutions to support ongoing decision-making. The environment is collaborative and delivery-focused, with senior stakeholders closely engaged in the outcomes of the work. The Role and Deliverables Design, develop, and enhance statistical and predictive models using SAS across the full model development lifecycle. Build modelling datasets, feature engineering processes, and variable transformations. Develop model logic, segmentation rules, scoring code, and scenario analysis. Carry out model validation, back-testing, sensitivity analysis, and performance monitoring. Convert prototype models into production-ready SAS solutions with appropriate documentation. Work with analytics, technology, and business stakeholders to deploy and optimise models in controlled environments. Your Skills & Experience Strong experience developing statistical and predictive models in SAS. Advanced SAS programming capability including Base SAS, Data Step, SAS SQL, and macro development. Proven ownership of models from development and validation through to deployment and optimisation. Solid understanding of regression-based modelling, segmentation, forecasting, and model performance measurement. Confidence working independently and communicating complex modelling concepts to non-technical stakeholders. How to Apply Apply now to discuss how your SAS modelling experience could contribute to this high-impact contract role.

Senior Product Security Engineer London (Hybrid) Salary: £80,000 - £100,000 This is an opportunity to join a forward-thinking technology-driven business where security is embedded from day one. You will play a key role in shaping how products are built securely, working closely with engineering teams to influence design decisions and protect innovative, customer-facing solutions. The role offers strong technical ownership, exposure to modern cloud and AI-driven systems, and the chance to make a visible impact across the organisation. The Company They are a modern digital financial services organisation focused on delivering user-centric products through technology and innovation. With a strong emphasis on collaboration and continuous improvement, they have built a culture where teams are empowered to challenge conventions and deliver meaningful change. Security is treated as a core pillar of product development, not an afterthought. As part of a growing InfoSec function, you will join a team that values practical, engineering-led security approaches. The Role Embed security into the full product lifecycle, from concept through to release Conduct hands-on security assessments across web, mobile, and backend applications Lead and support threat modelling activities for new features and systems Collaborate closely with engineering teams to design secure architectures Integrate and optimise security tooling such as SAST, SCA, DAST and vulnerability scanning Help drive secure development lifecycle practices across teams Deliver secure engineering training and guidance to developers Support triage and remediation of vulnerabilities from testing, tooling, and external reports Contribute to automation of security processes using scripts and internal tools Your Skills & Experience Strong commercial experience in application or product security Hands-on experience with security testing tools such as Burp Suite, Nmap, or similar Solid knowledge of web or mobile security, with willingness to broaden across both Good understanding of networking fundamentals and operating systems Experience conducting threat modelling and explaining security trade-offs to stakeholders Ability to script and automate tasks using languages such as Python, JavaScript, or Go Knowledge of secure coding practices and common vulnerabilities Familiarity with cloud environments and infrastructure concepts Comfortable working closely with engineers in a collaborative environment What They Offer Opportunity to work on modern technology including cloud and AI-driven systems A highly collaborative environment with strong engineering partnerships Clear progression opportunities within a growing security function Investment in learning and development, including time for upskilling How to Apply If you are interested in building secure, scalable products in a collaborative environment, apply now to find out more.

MLOps Engineer, Palantir Platform Fully Remote 6 Month Contract Outside IR35 £550 to £650 per day The Company They are a large, data driven organisation operating at scale, with a strong focus on using advanced analytics and machine learning to inform decision making. The business invests heavily in its data platforms and engineering capability, creating an environment where robust MLOps practices are essential. Teams are collaborative, delivery focused and used to working with senior technical stakeholders. The Role and Deliverables Design, build and maintain MLOps pipelines on the Palantir Foundry platform. Enable reliable deployment, monitoring and retraining of machine learning models in production. Partner with data scientists and engineers to operationalise models efficiently. Implement best practices around CI/CD, model versioning and data quality. Support platform optimisation, scalability and reliability across environments. Produce clear technical documentation to support ongoing delivery. Your Skills & Experience Strong experience in MLOps or machine learning engineering within production environments. Hands on capability with Palantir Foundry, including pipelines and operational workflows. Solid Python skills and experience supporting end to end ML lifecycles. Practical knowledge of CI/CD, containerisation and cloud based infrastructure. Confidence working with complex data systems and multiple stakeholders. How to Apply If you are an MLOps Engineer with Palantir experience looking for a meaningful contract project, please apply with your details below!

Data Analyst Location: Manchester (Trafford Park, near MediaCity) - Hybrid (2 days in office) Salary: £40,000-£55,000 + benefits (25 days holiday, pension, flexible working) Start Date: ASAP The Company A fast-scaling data technology business working with major names in media, marketing, and research. They provide behavioural data from real devices, enabling evidence-based decisions at scale. With rapid growth underway, the business is building out a central analytics function to support both internal teams and external clients. The Role This is a hands-on data analyst role with broad exposure to product, technical, and commercial teams. You'll work directly with stakeholders, taking half-formed questions and turning them into clear, data-led answers. From uncovering churn metrics to evaluating server performance or understanding how VPNs impact user experience, you'll be the go-to person for actionable insight in a high-growth environment. Key Responsibilities Analyse large, complex datasets to uncover trends and guide decision-making. Translate ambiguous business questions into clear, metric-driven insights. Build and present concise data stories to internal and external stakeholders. Support compliance efforts with robust monitoring and analysis. Develop lightweight automation to improve internal reporting and processes. Provide insights on marketing/media data to identify performance issues. Join client meetings to explain analytics in a clear, confident manner. Skills & Experience Essential: 2+ years' experience in a data analyst or similar role. Strong SQL skills - confident working with complex data structures. Excellent communication skills, able to engage technical and non-technical stakeholders. Self-starter who thrives in ambiguous situations. Ability to prioritise and manage open-ended requests. Strong analytical mindset with commercial awareness. Desirable: Python for analysis and automation. Experience with technical data (servers, VPNs, compliance). Familiarity with marketing/media datasets. Interview Process Initial 30-minute chat with hiring manager. Take-home technical task (data analysis + presentation prep). Final in-person interview (2 hours): culture fit, presentation, and technical deep dive with hiring team. How to Apply Send your CV to Mohammed Buhariwala at Harnham or connect on LinkedIn to learn more.

Location: Hybrid - 2-3 days per week in London Contract Length: 3 months (with potential to extend) IR35 Status: Inside IR35 Overview We are seeking a Tableau Developer with a strong focus on front-end design, UI/UX, and data visualisation to support a strategic insights team within the real estate sector. The role will focus on building high-quality, visually engaging dashboards that help uncover insights from multiple data sources. You'll work directly with the Head of BI to translate ideas into polished Tableau dashboards that balance functionality with aesthetics , including geospatial and advanced visualisation techniques. Key Responsibilities Design and deliver visually rich Tableau dashboards, incorporating geospatial data, advanced graphics, and colour grading. Create dashboards that are both functional and aesthetically impactful ("heart and science"). Optimise dashboards for clarity, performance, and usability with a quality-over-quantity mindset. Collaborate closely with the Head of BI, refining requirements and turning concepts into intuitive, polished outputs. Apply modern design principles and Tableau best practices to enhance storytelling and insight delivery. Support the transition from Power BI to Tableau by building out a new suite of dashboards. Required Skills & Experience Proven expertise in Tableau dashboard development, with strong front-end/UI skills. Experience working with geospatial data and applying mapping/colour grading for impactful visualisation. A strong eye for design, detail, and storytelling through data. Ability to create dashboards without heavy stakeholder interaction-translating requirements from a small BI leadership team. Familiarity with managing data from multiple sources (Excel and others). Excellent communication skills and ability to collaborate in a hybrid environment.

DIGITAL ANALYTICS MANAGER - 12-MONTH FTC UP TO £70,000 + BENEFITS WATFORD - HYBRID, 2 DAYS A WEEK Please note, sponsorship is not available. Applicants must be UK residents. Company A global retail powerhouse with thousands of stores across 9 countries is looking for a Digital Analytics Manager to join its European team. The business continues to invest heavily in digital innovation, with recent app launches and ecommerce expansion shaping its next phase of growth. This is a chance to play a pivotal role in understanding customer journeys across web and app, driving insights that directly impact business performance. The Role This is a hands-on analytics role where you'll own digital data and insights across multiple European markets, with a strong focus on the UK, Germany, and Austria. Sitting within the digital team, you'll manage the flow of GA4 and BigQuery data, build impactful reports, and partner with internal stakeholders and a third-party analytics provider. From measuring app performance to understanding the impact of promotions and website changes, you'll play a central role in connecting digital data with business outcomes. You'll also have the opportunity to influence future app launches and regional strategies, ensuring the right data is captured and optimised for decision-making. Key Responsibilities Own and manage GA4 data and reporting across web and app platforms. Partner with customer analytics, trade, and content teams to deliver insights. Oversee the relationship with a third-party analytics provider. Analyse app and web performance, identifying regional trends and customer behaviour. Evaluate the impact of campaigns, promotions, and seasonal activity (e.g., click-and-collect offers). Investigate the business impact of website issues or incorrect tag management. Provide clear, actionable recommendations to drive customer engagement and business growth. Role Requirements Must-haves: Strong expertise in GA4 and BigQuery. Proven experience delivering digital analytics in a large-scale retail or ecommerce environment. Ability to translate data into actionable insights for senior stakeholders. Credible, engaging communicator with a proactive, problem-solving approach. Experience with BI tools (e.g., Looker). Background in experimentation or A/B testing. Self-starter mindset, with the ability to anticipate challenges and identify solutions early.

Infrastructure Engineer AI Startup Remote (One week per month in Barcelona) Up to £180,000 + Equity Want to help power some of the most advanced AI models being built today? I'm hiring for an Infrastructure Engineer to join a cutting-edge startup developing next-generation AI for tabular data-technology with the potential to transform industries like finance, healthcare, and advertising. You'll work alongside researchers and engineers from the likes of DeepMind and other top AI labs, building cloud infrastructure from the ground up to support high-performance, GPU-intensive workloads at scale. Why You'll Love This Role Highly competitive salary + meaningful equity package ? 100% remote within Europe Work with world-class AI experts on cutting-edge problems Join at an early stage with big growth ahead Access to the latest tools, GPUs, and research infrastructure What You'll Be Doing Design and implement multi-cloud infrastructure (AWS + GCP) optimised for ML workloads Build and manage Kubernetes clusters for GPU training, serving, and SaaS hosting Implement GitOps deployment workflows using ArgoCD Create and manage infrastructure as code with Terraform Set up CI/CD pipelines for infrastructure and application deployment Implement monitoring, observability, and cloud cost optimisation (FinOps) Collaborate with ML engineers to fine-tune infrastructure for large-scale model training What You'll Bring 5+ years in cloud infrastructure / DevOps roles Deep Kubernetes expertise, including GPU workload optimisation Strong AWS and GCP experience Proven skills with Terraform , GitOps tools, and CI/CD (GitHub Actions preferred) Proficiency in Python and scripting for automation Solid understanding of cloud networking, security, and cross-cloud connectivity Experience in monitoring, observability, and cost optimisation ? Nice to Have Experience with ML tooling (MLflow, Kubeflow) Knowledge of FastAPI , Databricks, or Snowflake Exposure to SRE practices or cloud security certifications Familiarity with Prometheus , Grafana , or Datadog Interested? If you want to be part of a world-class AI team at an early stage-where your infrastructure decisions will directly shape the company's success-apply today or reach out for a confidential chat.

DIGITAL ANALYTICS CONSULTANT £55,000-£65,000 + BENEFITS FULLY REMOTE This Digital Analytics Consultant position will give you the opportunity to own the implementation function for an international Digital Experience Consultancy looking to grow out its UK team. THE COMPANY: The company you will be working for is a leading specialist digital analytics consultancy which works with clients and internal teams to execute high standard web analytics and optimisation. This team in particular specialises in the Adobe stack. THE ROLE: As a Digital Analytics Consultant you will be the SME for Adobe Launch, looking at a variety of well-known brands across multiple sectors and will need to: Be a primary point of contact. Be confident in Adobe Launch and setting up Tags Experienced in Javascript Stakeholder management YOUR SKILLS AND EXPERIENCE: A successful Digital Analytics Consultant will have the following skills and experience: Proven commercial experience in Adobe Analytics and Adobe Launch Commercial experience in Javascript Ability to work in a fast-paced environment. THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £65,000. 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 - WEB SCRAPER LONDON BASED REMOTE UP TO £ 80 K + BENEFITS Harnham is hiring a Web Scraping Data Engineer for an Art / Tech Start-up. This role includes designing, developing, and maintaining data scraping pipelines. THE COMPANY: This role is with an Art-Tech Start-up that is investing heavily in its data capabilities. This company recently had another round of funding and they are looking for someone to join their inclusive and collaborative team. You would be joining a cross-functional team of 10 different consultants across Data Engineering, Data Science, and Data Analysts and you will report to a Lead Data Engineer. THE ROLE: As a Web Scraping Data Engineer, you will be responsible for designing, developing, and maintaining data scraping pipelines to collect and analyse data from various sources. You will work closely with our data scientists, developers, and product teams to provide critical insights and information that will help drive our business decisions. We are looking for a candidate with a strong background in data engineering and web scraping techniques. The ideal candidate will have experience with Python, SQL, and data scraping tools such as BeautifulSoup and Scrapy. Additionally, the ideal candidate should be able to design and implement automated testing and quality control procedures to ensure that the data being collected is accurate and reliable. HOW TO APPLY: Please register your interest by sending your CV to Ewan Heyworth via the apply link on this page.