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Full Stack Developer - (Strong Frontend Developer) Salary: Negotiable to £50K Dependent on Experience Location: Central London – Hybrid working 1 day a week in the office Ref: J12935 A marketing effectiveness…
🚀 Managing Consultant – Data Science, Customer Analytics & AI Location- London 2-3x a week Salary- Competitive & Negotiable DOE Job ID- 13094 Are you an experienced Data & AI consultant who can combine…
Data Science Consultant/ Senior Consultant (Customer Data & AI) London (Hybrid) Competitive Salary + Bonus + Excellent Benefits Job ID J13097 You must have full working rights to be considered for this opportunity.…
A Data Architect role shaping the data architecture for a major transformation, moving from on-premises SQL Server with Tableau reporting to Microsoft Fabric and Databricks. Day to day: design analytical and semantic data models, document data flows, guide legacy migration, and engage senior stakeholders. UK hybrid, salary up to £68,000.
Salary: £90,000 - 90,000 per year Requirements: Commercial experience in a hands-on technical data role, ideally within a product-led, marketplace or e-commerce environment. Strong SQL skills with experience querying…
Data Engineer - AWS, Spark & AI Salary: £60,000-£75,000 Dependent on Experience London: Hybrid working - 3 days per week in the office, 2 days home-based Job Ref: J13171 Join a fast-growing technology start-up…
Senior Data Engineer Location: UK Remote Salary: £60,000 to £70,000 dependent on experience Ref: J13159 Are you a Senior Data Engineer who enjoys building reliable data solutions and isn't afraid to get stuck into…
Analyze data to drive insights and support decision-making for a global organization, working 3 days per week in-office.
Builds predictive models and analyzes supply-chain risk data using Python and ML to help clients comply with safety standards.
Designs and maintains Snowflake/Snowpark data pipelines in Python, ensuring clean data for customer analytics in a hybrid role.
Build and maintain Snowflake/Snowpark pipelines for a global lifestyle brand’s customer data platform, enabling faster, reliable access to insights for personalised interactions.
Build and own cloud-native data and ML pipelines using Python and PySpark in a hybrid role focused on AI platform engineering.
Build and own cloud-native data and ML pipelines end-to-end for an AI-first SaaS platform that turns messy data into trusted insights.
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