Harnham - Data & Analytics Recruitment

Credit Strategy & Analytics Director Up to £150,000 Hybrid London About the Company: I am hiring a Credit Strategy Director for a leading lending fintech based in London. Within this role, you will be leading a team and setting up the strategies for existing customer management, to support the increase of profitability for their credit cards portfolio using tools like Python and SQL daily. About the Role: As a Credit Strategy Director, you will be: Driving insight for credit risk strategy using Python and SQL Detecting new trends on customer data to help increase business revenue Analysing both internal and external data to make strategic changes impacting growth and revenue Building out and leading a Credit Strategy function focusing on the ECM strategy Developing credit risk strategies across existing customers, like credit limit increase and decrease strategies Using SQL and Python daily for strategy development for the credit cards portfolio Responsibilities: To be successful as a Credit Strategy Director, you will need: Experience developing credit strategies for ECM. Experience working with unsecured credit portfolios Ideally experience working on Credit Cards Experience managing and leading a team for credit strategy Experience working with SQL and/or Python STEM Degree from a top university Benefits Up to £150,000 + Benefits

Director of Decision Science London, hybrid (3 days in office). Competitive salary between £130000 - £150000 plus bonus This is a senior opportunity to lead credit decisions within a fast-paced, product-focused environment. You will shape modelling strategy, guide a growing team, and play a central role in driving responsible growth. The Company They are a high-growth financial services business operating in the lending and embedded finance space. Data and decisioning sit at the heart of how they scale responsibly and support customers. The team is maturing and this new role joins the leadership group with strong influence across risk, product, and strategy. The Role Lead credit decisioning strategy and model development. Stay hands on with modelling using XGBoost, GBM and related techniques. Oversee end-to-end model lifecycle from design to monitoring. Partner with risk, product, and engineering on decisioning and portfolio performance. Support a senior manager and analysts to deliver high-quality modelling. Collaborate with ML engineering teams without owning ML platform strategy. Your Skills and Experience Strong experience in credit risk and decision science. Hands on building and validating credit and scoring models. Solid Python and modelling skills across GBM-style approaches. Understanding of risk strategy, portfolio performance and trade-offs. Ability to lead while remaining practical and hands on. Comfortable working closely with product and senior stakeholders. What They Offer Competitive base salary. Bonus. Share options. Hybrid working with strong cross-team collaboration. A senior leadership platform with scope to shape modelling standards. How to Apply To discuss this role, apply below or contact me at

Client Manager London Up to £55,000plus benefits This is an exciting opportunity to join a leading insights-driven organisation where you will shape brand strategy, deliver impactful research, and partner directly with major household-name brands. You will play a central role in helping clients unlock growth through evidence-based insights. The Company They are a global insights and consulting organisation known for their deep understanding of consumer behaviour and their ability to translate data into strategic direction. They work across sectors including retail, technology, beauty, food, and consumer goods. Their teams blend human understanding with advanced research techniques to help brands innovate, communicate, and grow. They foster a collaborative culture focused on learning, creativity, and delivering meaningful impact. The Role Lead end-to-end client projects, from briefing and scoping through to analysis and final delivery. Build strong relationships with client stakeholders, ensuring clear communication and commercial value at every stage. Manage project budgets, timelines, and outputs to ensure high-quality, insight-driven deliverables. Apply quantitative research expertise to develop brand, comms, and innovation insights. Contribute to a positive, collaborative team environment, supporting shared learning and continuous improvement. Engage with modern research approaches, including behavioural science and innovative testing methods. Your Skills & Experience Strong commercial experience in quantitative research, particularly within brand and communications. Proven ability to manage client relationships and deliver actionable insight. Experience working in a full-service environment, including project management and analysis. Confident communicator with clear written and verbal presentation skills. Ability to mentor junior team members and support their development. Comfortable working across diverse sectors and adapting approaches to meet client needs. What They Offer Competitive salary and benefits package. A culture that values development, wellbeing, and equal opportunities. Clear progression routes linked to performance and contribution. Exposure to high-profile brands and a wide range of strategic research challenges. How to Apply If this Client Manager role sounds like the right next step for you, please apply now to be considered.

Job Title: Product Data Scientist - Hybrid - Up to £80,000 Location: London (Hybrid, 2 days p/w in office) Salary: Up to £80,000 + benefits Contract: Permanent The Company A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth. The Role As a Product Data Scientist , you'll work closely with teams across the business to unlock insight, guide product strategy, and influence decision-making. You'll use advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact. Key Responsibilities: Analyse user behaviour to uncover insights, identify pain points, and influence product direction. Design experiments and support a culture of testing, learning, and iteration. Define and align key business metrics, ensuring consistency and accuracy across teams. Build and maintain dashboards and tools to empower stakeholders with self-serve insights. Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations. Collaborate across functions to close data gaps and drive analytics best practice. Stay current on industry trends and champion innovative approaches to product data science. The Candidate Proven experience in analytical roles, ideally within a digital-first or tech-led business. Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash). Ability to translate business challenges into clear analytical projects and recommendations. Strong data storytelling and presentation skills, with confidence engaging senior stakeholders. Curious, proactive, and detail-oriented problem solver. Team player with strong collaboration skills. What's on Offer Salary up to £80,000 + bonus Hybrid working (2 days per week in London office) Competitive annual leave package Pension scheme and healthcare support Employee discounts and perks Regular team socials and recognition initiatives Strong learning and development opportunities Apply Now If you're an experienced Product Data Scientist/Analyst looking to shape the future of data insight in a growing, forward-thinking organisation, apply today.

Senior BI Insights Analyst Harnham Remote Bristol SENIOR BI INSIGHTS ANALYST 50K REMOTE BRISTOL UK training provider digital transformation needs Senior BI Analyst. End-to-end BI role project delivery stakeholder engagement operational support. COMPANY Major UK training provider second largest learner numbers revenue. Parent company four independent businesses delivering apprenticeships professional development supporting thousands learners employers. Digital data transformation consolidating systems standardised platforms learning management Salesforce payroll. Investing data infrastructure insight capabilities strategic operational decision making. TEAM Data Automation team reporting BI Manager. Small impactful team supporting data driven decision making. Team Head Data AI hiring, BI Manager line manager, 2 Senior BI Analysts, future Data Engineer. ROLE Hands on end to end BI. Balance project work day to day reporting insight delivery. Build maintain Power BI dashboards reports Manage BI support tickets troubleshooting access rights Work stakeholders gather requirements prototype test deliver insights Participate executive discussions present insights Support data capabilities data modelling reporting Ensure reports accurate relevant aligned business needs Contribute data driven decision making sales learner outcomes efficiency Fast paced dynamic. Switch tasks balance projects requests multiple stakeholders. SKILLS Power BI report development dashboard creation Strong SQL ETL processes data pipelines Data modelling Power BI DAX Microsoft Power Platform Power Automate Power Apps End to end BI lifecycle requirements to insights Senior stakeholder engagement translate business problems data solutions Fast paced complex environments Minimum 3 years 5 plus preferred NICE TO HAVE Education apprenticeship sector Python Modern platforms Fabric Databricks Data architecture governance pipeline design FOCUS Unified data platform development. Data multiple locations separate warehouses unstructured sources. Consolidate single scalable platform. Define data requirements reporting Support automation architecture Shape data drives performance decisions Experimenting Fabric. Architecture roadmap being defined. SALARY 50K base no bonus Remote Bristol office Small high impact team Shape unified platform Digital transformation Work across group INTERVIEW Stage 1 minutes BI Manager Senior Analyst question based Stage 2 45 minutes BI Manager stakeholder question based no task unless needed APPLY Send CV Mohammed Buhariwala or

Product Analyst East Midlands (Hybrid - 2x Days a Week in Office) £80,000-£90,000 The Company Are you a commercially-minded Product Analyst or Product Data Scientist looking to make an impact in a fast-growing, PE-backed consumer tech business? This is a unique opportunity to join a company in an exciting growth phase, working alongside an experienced and data-driven leadership team! The Role You'll sit within a highly collaborative Data team and act as a key partner to Product, Engineering, and Commercial teams, using data to shape strategy, improve personalisation, and create a best-in-class experience for millions of users. This role is ideal for someone who is curious, commercially focused, and passionate about understanding user behaviour to drive measurable outcomes You'll be responsible for: Analysing user behaviour, spotting trends, and telling compelling data stories to influence product strategy Designing, running, and evaluating experiments to optimise product performance and improve conversion Defining and aligning key metrics across teams, ensuring consistent measurement and insight delivery Building and maintaining dashboards and self-serve tools for quick access to core insights Conducting deep-dive analysis to inform strategic decisions and drive measurable product improvements Your Skills & Experience I'm looking for someone who is excited to work in a product-focused, consumer-facing environment, and who brings: Strong SQL Python/R experience preferrable Experience with dbt and modern data stacks a bonus A proven ability to turn data into actionable insights and communicate them clearly to stakeholders Experience in a B2C or consumer tech environment, ideally with a focus on product analytics or experimentation The Benefits Salary up to £80,000 - £90,000 Bonus How to Apply Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

Subscription Business Director Leeds Up to £160,000 Permanent The Opportunity A major UK broadcaster is creating a Director-level role to own and scale their subscription membership proposition. Full P&L accountability for driving sustainable membership growth, revenue, and viewer engagement. You'll report into the Streaming Business Director and work directly with c-suite stakeholders. The Role Own the end-to-end subscription business strategy from proposition design and pricing to GTM execution and retention. Lead a cross-functional squad of 20+ people spanning analytics, marketing, and editorial. Own strategic vision for the membership proposition Define cross-functional growth strategies and commercial roadmaps Drive P&L performance including pricing strategies and revenue growth Own audience growth and retention, minimizing churn and maximizing LTV Collaborate cross-functionally with technology, product, marketing, content, and insights Identify market opportunities, partnerships, and product enhancements What They're Looking For Proven track record leading subscription or D2C businesses in streaming, media, gaming, edtech, or telecoms Strong commercial acumen with pricing, packaging, and revenue growth strategies Experience managing full customer lifecycle including acquisition, retention, and churn Advanced analytical skills translating insights into action Cross-functional experience with product, technology, marketing, and content teams Excellent stakeholder management with ability to influence at c-suite level Growth-focused mindset with commercial rigor Desirable Experience launching or scaling a subscription streaming service Knowledge of UK and international media landscape Familiarity with CRM, marketing automation, and data analytics tools Experience with agile methodologies and digital transformation Why This Role Shape the commercial future of a subscription business within one of the UK's most recognized broadcasters. Genuine autonomy to set strategy, build roadmaps, and drive revenue at scale. Work with c-suite leaders and have direct impact on commercial performance.

Python Web Scraping Engineer £60,000 - £70,000 Remote (UK-based) Are you a highly experienced Web Scraper who can scrape from heavily defended sites for a leading platform in AI-driven Search Intelligence? If so, this may the next exciting step in your career. THE COMPANY This leading company is at the forefront of using AI to power its Search Intelligence Platform. THE ROLE As a Python Web Scraping Engineer, you will scrape data from heavily defended sites using Python. Specifically, you can expect to be involved in the following: Using browser automation tools (Playwright, Selenium, Puppeteer or similar) HTML parsing and data extraction Handling bot detection systems Cloud-based scraping at scale SKILLS AND EXPERIENCE The successful Python Web Scraping Engineer will have the following skills and experience: Anti-bot detection and evasion Browser fingerprinting techniques CAPTCHA solving and handling Proxy management and IP rotation BENEFITS The successful Python Web Scraping Engineer will receive the following: Salary between £60,000 - £70,000 - depending on experience Competitive benefits HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Operations Strategy Analyst £40,000-£50,000 Southampton + hybrid working Harnham are working with a growing UK consumer lender looking to hire a Strategy Analysts into their expanding analytics function. THE COMPANY This is a well-established FinTech operating across the UK personal lending space, offering both near-prime and prime loan products. They have a strong reputation for data-led decisioning and continue to scale their operational analytics capability. With a collaborative culture and consistent investment in analytics, they offer strong long-term career growth. THE ROLE You will sit within the Operations Analytics function, supporting data-driven decisioning across the full customer lifecycle. The role bridges data analytics and operational strategy, working closely with risk, credit, collections and wider commercial teams. Specifically, you can expect to be involved in: Analysing customer behaviour and operational performance across originations, underwriting, account management, collections and fraud. Developing insights that inform operational strategy and improve customer outcomes. Supporting modelling work within collections to optimise customer contact and repayment strategies. Delivering analysis on projects such as marketing performance, customer acquisition and process optimisation. Communicating findings to both technical and non-technical stakeholders. YOUR SKILLS AND EXPERIENCE Strong SQL skills and experience using a data visualisation tool. Background in analytics from lending, financial services or a similar data-driven environment. Experience working on end-to-end analytical projects, from data extraction through to insight delivery and stakeholder communication. Strong academic background with a keen interest in operational and credit analytics. Confident communicator with the ability to explain technical concepts to non-technical audiences. Experience with cloud environments (e.g., AWS) is beneficial but not essential. THE BENEFITS Broad exposure across the full lending lifecycle. High visibility across the business and strong progression opportunities. Collaborative culture within a growing FinTech environment. Opportunity to shape and influence operational data strategy. THE PROCESS Initial 30-minute introductory meeting. On-site interview including a presentation, technical questions and stakeholder interaction. Final meeting with senior leadership. HOW TO APPLY Please register your interest via the apply link on this page.

PRICING ANALYST (INSURANCE) £40,000 EAST ENGLAND (CAN BE REMOTE BASED WITH OCCASIONAL TRAVEL) This is an exciting opportunity to join a growing business in the insurance space where you can make a real impact on the business. You'd be able to work across a range of pricing analytics projects, within a small team to really take ownership of your work and the wider team. THE COMPANY Our client are an exciting insurance business that are growing well. They've gone from strength to strength in recent years and this role is part of their increased presence in the market. You'd be able to work in a close-knit and focused team there with a focus on data and pricing. THE ROLE Work on rate-changes, pricing adjustments and data-led pricing structures Refresh, validate and develop risk pricing models for new and current offerings Work with aggregators and market analysis to understand trends and customer behaviours Develop and implement competitive pricing strategies YOUR SKILLS AND EXPERIENCE : Minimum 1 year experience within insurance or wider financial services OR a placement year in the same area Experience in pricing models or strategy is highly desirable Experience using SAS/SQL/Python or R Strong communication skills and desire to 'hit the ground running' SALARY AND BENEFITS Up to £40,000 base salary Discretionary bonus scheme Contributory pension scheme Hybrid work model 25 days holiday HOW TO APPLY Please register your interest by sending your CV to Rosie Walsh through the 'Apply' link

Python Web Scraping Engineer £60,000 - £70,000 Remote (UK-based) Are you a highly experienced Web Scraper who can scrape from heavily defended sites for a leading platform in AI-driven Search Intelligence? If so, this may the next exciting step in your career. THE COMPANY This leading company is at the forefront of using AI to power its Search Intelligence Platform. THE ROLE As a Python Web Scraping Engineer, you will scrape data from heavily defended sites using Python. Specifically, you can expect to be involved in the following: Using browser automation tools (Playwright, Selenium, Puppeteer or similar) HTML parsing and data extraction Handling bot detection systems Cloud-based scraping at scale SKILLS AND EXPERIENCE The successful Python Web Scraping Engineer will have the following skills and experience: Anti-bot detection and evasion Browser fingerprinting techniques CAPTCHA solving and handling Proxy management and IP rotation BENEFITS The successful Python Web Scraping Engineer will receive the following: Salary between £60,000 - £70,000 - depending on experience Competitive benefits HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

SENIOR MANAGER- CREDIT RISK ANALYTICS UP TO £140,000 LONDON- 3 DAYS A WEEK A leading fintech lender, looking for a Senior Credit Risk Strategy Manager to lead collections analytics and shape risk strategy across the business THE ROLE Designing and optimising collections strategies across the lifecycle (early arrears through to recoveries) Using data properly, segmentation, treatments, contact strategy, affordability, forbearance, write-off logic Building the MI and insight that tells us what's working, what isn't, and why Working closely with operations to make sure strategy isn't just clever on paper but works in the real world Making sure we treat customers in financial difficulty fairly, sensibly, and in line with regulation REQUIREMENTS Arrears and collections strategy design Analytics experience (SQL / Python ) HOW TO APPLY Please send CV below

PRINCIPAL AI PLATFORM ENGINEER Up to £90,000 + BENEFITS SHEFFIELD (Hybrid) This is a standout opportunity to shape and scale an AI function from the ground up. You will drive the build of production-grade AI platforms, develop agentic automation for complex workflows, and deliver real business impact in an environment where engineering decisions directly influence performance and efficiency. THE COMPANY: They are a technology-led insurance organisation. Their products are powered by a combination of smart technology and human expertise, enabling them to offer fast, tailored cover to customers with diverse needs. With strong investment behind AI, they are entering a new phase of growth and building their first dedicated AI engineering team. Joining at this stage gives you the chance to influence technical strategy, architecture, and best-practice from day one. THE ROLE: Build and operate production-ready AI agents on GCP Design robust RAG pipelines covering ingestion, text processing, vector search and secure data handling. Implement evaluation frameworks, monitoring, A/B testing and performance dashboards for latency, cost and accuracy. Partner with product and operations teams to deploy AI capabilities into live environments and continually optimise performance. Shape engineering standards, patterns and tooling as part of a new AI function. YOUR SKILLS AND EXPERIENCE: Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with applied AI delivery. Deep hands-on expertise with GCP services Strong Python skills Practical experience with LLMs, embeddings, RAG architectures and vector databases. A track record of building production-grade AI systems, including observability, evaluation and automated testing. DevOps capability across CI/CD, Docker and Kubernetes or equivalent tooling. THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £90,000 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.

PRICING MANAGER- INSURANCE £70-80K DEPENDING ON EXPERIENCE LONDON BASED This is an exciting opportunity to join a growing business in the insurance space where you can make a real impact on the business. You'd be able to work across a range of pricing analytics projects with the rare opportunity to really take ownership of your work and make an impact. THE COMPANY Our client are an exciting insurance business that are growing well. They've gone from strength to strength in recent years and this role is part of their increased presence in the market. You'd be able to work in small team within this hands-on, analytical role whilst also taking on management of a couple of analysts. THE ROLE End-to-end development of some of their first GBM models across the book Develop and implement pricing strategies to enhance business performance Analyse large sets of customer data to drive insight and commercial performance across their pricing quotes Share insight with the wider team and helping to improve profitability across the business Manage a team of 2, helping with their development and progression YOUR SKILLS AND EXPERIENCE : Essential to have experience within UK general insurance Essential to have had experience building GLM pricing models, ideally using ML techniques Exposure to both retail and risk pricing Good knowledge of programming software such as SAS, SQL, Python or R Experience managing junior analysts OR proven ability in coaching and leadership SALARY AND BENEFITS Base salary £70-80,000 depending on experience Bonus Contributory pension scheme Work abroad scheme Private medical 25 days holiday HOW TO APPLY Please register your interest by sending your CV to Rosie Walsh through the 'Apply' link

Data Scientist - Credit Risk £55-65,000 London THE COMPANY This business are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving impact in your work at the forefront of the market. THE ROLE Work across a range of credit models within the business, predominantly scorecards and broader decisioning models Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business Own the deployment and implementation of predictive models across the product suite Working closely with the Credit and Product teams to enhance performance and profitability across the business by collaborating on strategies and model enhancements YOUR SKILLS AND EXPERIENCE : Essential to have experience developing predictive models, ideally within credit risk SQL and Python experience is essential Essential to have experience using Machine Learning techniques to develop non-linear models Experience in a fast-paced environment and ability to work across multiple projects, in a FinTech SALARY AND BENEFITS Base salary from £55-65,000 Company pension scheme Private medical care Equity scheme HOW TO APPLY Please register your interest by sending your CV to Rosie Walsh through the 'Apply' link

LOOKER DEVELOPER £515 - £600 PER DAY INSIDE IR35 2 DAYS PER WEEK IN LONDON 3 MONTH CONTRACT THE COMPANY: Join a fast-paced company and support on their data migration from Tableau to Looker. THE ROLE: As a Looker Developer, your responsibilities will include: Migrating existing Tableau dashboards to Looker (LookML + SQL). Designing and building end-to-end dashboards focused on fraud, customer, and partner data. Providing clear insights and feedback to business stakeholders. Enabling teams to self-serve data through automated, future-ready reporting. Supporting the development of an LLM-led, forward-thinking analytics environment. YOUR SKILLS AND EXPERIENCE: The successful Looker Developer, will have: Strong hands-on experience with Looker, LookML, and SQL. Proven track record of building automated dashboards and data models. Experience with fraud analytics or similar data domains (customer, compensation, etc.). Tableau experience as a plus, to assist with migration. Excellent communication skills and the ability to translate data into actionable insight. HOW TO APPLY: Please register your interest by sending your CV to Mojola Coker via the apply link on this page.

We're looking for a DBT & BigQuery specialist to join a dynamic team focused on building and delivering high-value data use cases. If you're hands-on with data and enjoy turning business questions into actionable insights, this could be the role for you. What you'll do: Work on allocated pieces of work, primarily building out data use cases. Develop and maintain DBT models on BigQuery. Collaborate with the wider team to ensure high-quality, scalable solutions. What we're looking for: Strong DBT and BigQuery expertise - technical skills are more important than consulting experience. Experience working in a fast-paced, hands-on data environment. UK-based and able to work remotely as needed. Why this role is exciting: Working for a reputable consultancy Work on interesting, impactful data problems with a talented team. Opportunity to make a real difference in the way data is used across the business.

FULL STACK PRODUCT ENGINEER £110,000 + BENEFITS UK REMOTE Looking for a role where you can shape the future of a growing SaaS platform, work across the product lifecycle, and help solve real challenges for design and product teams? THE COMPANY: I'm working with a SaaS platform that focuses on documentation, governance, and collaboration for design systems. This is a great opportunity to be part of a start up/scale up in a high growth period. THE ROLE: This is a hands-on product engineering role where you'll contribute to everything from ideation to release. You'll collaborate closely with designers and PMs in small, autonomous squads to build features that help teams scale their design systems. Work on projects like: Managing and exporting design tokens Building analytics tools to track adoption of design systems Creating state management tools for components across platforms Contribute to roadmap planning, process improvements, and product strategy Collaborate across the product lifecycle: ideation, planning, building, QA, release YOUR SKILLS AND EXPERIENCE: A successful Fullstack Engineer will have the following: Strong experience with JavaScript + React Backend development experience (APIs, devops basics) A product-focused mindset with attention to solving user problems Ruby on Rails AWS / cloud infrastructure knowledge Experience applying AI solutions to user problems An interest in design systems or design tooling THE BENEFITS: You will receive a salary up to £110,000 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.

FULL STACK PRODUCT ENGINEER £90,000 + BENEFITS UK REMOTE Looking for a role where you can shape the future of a growing SaaS platform, work across the product lifecycle, and help solve real challenges for design and product teams? THE COMPANY: I'm working with a SaaS platform that focuses on documentation, governance, and collaboration for design systems. This is a great opportunity to be part of a start up/scale up in a high growth period. THE ROLE: This is a hands-on product engineering role where you'll contribute to everything from ideation to release. You'll collaborate closely with designers and PMs in small, autonomous squads to build features that help teams scale their design systems. Work on projects like: Managing and exporting design tokens Building analytics tools to track adoption of design systems Creating state management tools for components across platforms Contribute to roadmap planning, process improvements, and product strategy Collaborate across the product lifecycle: ideation, planning, building, QA, release YOUR SKILLS AND EXPERIENCE: A successful Fullstack Engineer will have the following: Strong experience with JavaScript + React Backend development experience (APIs, devops basics) A product-focused mindset with attention to solving user problems Ruby on Rails AWS / cloud infrastructure knowledge Experience applying AI solutions to user problems An interest in design systems or design tooling THE BENEFITS: You will receive a salary up to £90,000 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.

DATA/PYTHON ENGINEER £500 - £600 per day Outside IR35 Full Remote 3-month Company Overview We are working with a fast-growing digital marketing consultancy working at the intersection of data, media, and technology. Their mission is to help brands understand their customers better and drive performance through data-driven decision-making. With a diverse team of technologists, analysts, and marketing specialists, they deliver cutting-edge solutions across iGaming, Sports, Retail, and Financial Services. Role Overview & Responsibilities We are looking for Data Engineers to join a central data engineering function, supporting a high-priority data project following recent team changes. You'll be working end-to-end on extracting, transforming, and automating partner data pipelines to improve user conversion insights and partner reporting. Day-to-day, you will: Design and automate batch ingestion pipelines in Python, ensuring scalability and reliability. Extract data from multiple external sources via APIs, and where necessary, web scraping/browser automation (Playwright, Selenium, Puppeteer). Orchestrate pipelines using Airflow, and manage data quality workflows. Model and transform data in SQL and Snowflake to create clean, analytics-ready datasets. Ensure data quality, observability, and governance across workflows. Collaborate closely with product managers, analysts, and engineers to deliver high-quality data products for dashboards and reporting. Technical Skills & Experience We're looking for candidates who bring: Strong hands-on experience with Python for API ingestion, pipeline automation, and data transformation. Solid SQL skills with Snowflake (or similar cloud data warehouses). Experience with Airflow or other orchestration tools. Knowledge of data modelling, warehouse performance optimisation, and governance. Cloud experience (AWS preferred; Terraform/Docker a plus). Nice-to-have: browser automation/web scraping (Playwright, Selenium, Puppeteer). If you are interested drop you CV