This role involves designing and governing the Snowflake data platform, including data warehousing, cross-cloud orchestration, and AI readiness. Responsibilities include defining data modelling standards, implementing secure data pipelines, and creating data contracts with business analysts.
This role involves consulting on data engineering, AI, and analytics for financial services clients, with a focus on regulatory compliance and data governance. You will work in the office 4 days a week and travel to client sites, using tools like Databricks, Snowflake, and Azure to deliver practical solutions and enhance audit processes.
Builds and maintains infrastructure for deploying AI models in secure, constrained environments like air-gapped networks and edge devices. Works across the full stack, from inference engines and GPU scheduling to deployment pipelines and observability, ensuring reliable, maintainable model delivery. Focuses on solving challenges at the intersection of ML and infrastructure for critical government and enterprise customers.
This role involves owning the end-to-end security telemetry pipeline, from ingesting data from cloud providers, identity systems, and endpoints into Elasticsearch, to maintaining the health and scalability of Elastic Cloud on Kubernetes clusters. The engineer ensures reliable data flow, manages index lifecycle and cross-cluster search, and leverages automation and AI-assisted tooling to reduce operational toil. The work directly supports detection, incident response, and security consulting teams with high-quality, queryable security data.
Data, AI & Analytics Consultant, Big 4, GenAI, Regulatory, Governance, Central LondonData & AI Consultant required to work for a fast growing Professional Services business based in Central London. As this is an external client facing consulting role, you will...
This role involves building and improving shared infrastructure that supports Palantir's core platforms, including Foundry, Gotham, and Apollo. As an intern, you'll work on developer productivity, scalable backend and frontend systems, or storage technologies, collaborating across teams to solve real engineering challenges. The focus is on enhancing performance, reliability, and development velocity across a complex, data-driven ecosystem.
The role involves leading enterprise data architecture assessments, mapping systems and data flows, and identifying risks and inconsistencies. It focuses on defining data models, improving integration patterns, and enabling data readiness for AI. The architect will work across teams to align data strategy with business needs and improve data quality and traceability.
Design and build a foundational data platform from the ground up for a large private real estate group, integrating siloed systems into a unified, trusted data source. Develop robust ETL/ELT pipelines, REST APIs, and data models while implementing production-grade LLM workflows with auditability and human-in-the-loop oversight. Deliver dashboards, automation, and internal tools that are actively used by principals and operating teams, with full autonomy over technology choices and architectural direction.
Leads the design and operation of data platforms and delivery of business-ready insights, combining data engineering and analytics to support strategic decision-making. Manages data pipelines, data lake architecture, and Power BI reporting while leading a technical team and ensuring data governance, quality, and compliance. Promotes self-service analytics and collaborates with stakeholders to deliver measurable business value.
Production AdministratorLocation: Coulman Road, Thorne, Doncaster, South YorkshireSalary: CompetitiveOverview:The Production Administrator provides administrative and operational support to the production team, ensuring manufacturing processes run efficiently, documentation is accurate, and deadlines are met. The role acts as a key link between...
As a Data Engineer at Clariti AI, you will play a key role in improving the production quality of the company's price optimization software. Your responsibilities will include building and optimizing machine learning ETL/ELT pipelines, scaling data infrastructure, and collaborating with clients on onboarding and pricing expertise. This role offers significant growth opportunities and the chance to work on impactful projects in a fast-scaling startup.
This role leads the commercial structuring and execution of Snowflake's largest international customer deals across EMEA and APAC. The individual will define deal economics, navigate regional pricing and regulatory constraints, and directly engage senior stakeholders to shape high-impact commercial outcomes. They will also embed AI-native workflows into deal modeling and build repeatable playbooks from cross-border deal insights.
Design and build core backend services for an AI-native context layer management system that enables AI agents to access enterprise data context reliably and securely. Develop scalable, multi-tenant SaaS architecture with ingestion, indexing, retrieval, and API orchestration components. Operate and instrument services using observability tools, collaborating across product and infrastructure to evolve the system from prototype to production.
The Lead Data Engineer will develop, maintain, and quality assure numerical models for calculating pEPR fees and producer payments. They will lead the data strategy, ensuring robust and transparent processes, and collaborate across teams to support decision-making and policy development.
This role involves migrating data from legacy SQL Server and Power BI environments into Microsoft Fabric, with a focus on improving data quality and standards. The engineer will work in a hybrid setup, spending two days a week in the Leeds office, and contribute to the implementation and ongoing use of Fabric's capabilities. Experience with Azure, ADF, or Databricks is advantageous for this cloud-based data engineering position.
