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Data Platform Lead
Lead the design and implementation of an enterprise-scale data platform using Microsoft Fabric, Azure Data Factory, Synapse, and PySpark.
Business Analyst
Business Analyst to build and document data governance and quality processes for a new Google Cloud data lakehouse in the banking sector, using BPMN/UML and tools like Jira/Confluence.
AWS CLOUD NATIVE DEVELOPER (BACKEND AND DATA PLATFORM EXPOSURE)
Builds AWS-based cloud-native backend services and data pipelines using TypeScript, Lambda, and Terraform to ingest and process automotive production alarm data for a global manufacturer.
Forward Deployed Engineer
Build and demo AI-powered data solutions for Fortune 500 clients, turning raw enterprise data into production-ready semantic layers and agent-facing products within days.
Senior Data Platform Engineer — Real-Time Market Data
Build streaming and batch data pipelines, govern contracts, and design a scalable lakehouse to power trading desks and asset management with reliable, observable data services.
Senior Data Engineer - Databricks
Build and optimize Databricks Lakehouse pipelines on AWS/Azure, set CI/CD standards, and mentor peers while integrating structured and unstructured data with Delta Lake and Unity Catalog.
Principal Data Platform Engineer
Principal engineer designs a Snowflake-based lakehouse, builds self-service BI, and integrates data domains to support scalable, secure analytics and future AI/ML workloads.
Senior Software Engineer, Data Platform (Remote)
Builds the data platform foundation for an AI analytics startup, enabling trustworthy answers from enterprise data without heavy schema migrations or data movement.
Data Architect
Designs and refines data architecture for a climate-tech company’s enterprise data lakehouse, focusing on Databricks and governance best practices.
Principal Data Engineer (we have office locations in Cambridge, Leeds and London)
Principal Data Engineer designs and builds secure, scalable data platforms for national-scale genomics and healthcare research, using Python, SQL, and cloud infrastructure.
Data Architect
Design secure, scalable data architectures for public-sector clients, translating business needs into cloud-based platforms and guiding delivery teams.
Data Architect
Designs and builds a modern Azure-based data platform, guiding ETL pipelines, Lakehouse/Data Lake solutions, and cloud-native architectures while staying hands-on with engineering teams.
Enterprise Data Architect
Leads the design of enterprise-scale data platforms, cloud solutions, and governance standards to modernize and secure the data landscape for a data-driven organization.
Data Architect
Designs and builds enterprise-scale cloud data platforms for UK insurance firms using AWS, Databricks, and MongoDB, ensuring regulatory compliance and scalable Lakehouse architectures.
Distinguished Technical Architect, Data & AI
Senior technical leader shaping Salesforce’s Data & AI platform strategy in EMEA, advising C-suite on complex enterprise deals and driving adoption of Data Cloud and Agentforce.
Senior Data Architect – Cloud, AI & Governance (SC)
Designs enterprise data architectures for UK public-sector programmes, including cloud migrations, lakehouse deployments, ETL/ELT, analytics and governance while ensuring security and compliance.
Distinguished Technical Architect, Data & AI
Lead pre-sales architecture for Salesforce’s Data Cloud and Agentforce, advising C-suite on enterprise AI and data strategy, and shaping go-to-market narratives across EMEA.
AI Enterprise Architect
Design and lead end-to-end AI infrastructure, from GPU clusters and high-performance networking to MLOps and governance frameworks, ensuring scalable, compliant, and production-ready AI systems.
Data Architect
Design cloud-native data platforms and AI solutions for clients, focusing on scalable architecture, real-time analytics, and secure data governance across hybrid cloud environments.
Senior Software Engineer, Document Design- (Remote)
Build the data foundation for an AI analytics platform that delivers trustworthy answers from enterprise data without heavy schema migrations or data movement.