322 jobs
Tenth Revolution Group Berkshire £55,000 – £61,000 pa
Hands-on role modernising a legacy reporting environment and shaping a cloud-native analytics platform, with ownership of critical reporting platforms and business-facing data products. Requires production experience with Azure Databricks and the wider Azure stack, plus strong stakeholder management within business and technology transformation programmes.
Tenth Revolution Group London £50,000 – £60,000 pa
Builds and leads production-grade Snowflake solutions in cloud environments, working hands-on with Snowpark, Snowpipe, Streams, Tasks and Dynamic Tables. The role sits in a consulting transformation practice, combining strong SQL and Python engineering with CI/CD, Terraform, automated testing and data observability, plus stakeholder engagement to deliver governed, AI-ready data.
Palantir Technologies New York, United States
Builds the tools and interfaces within Palantir Foundry that let users create data-intensive applications, architecting state management, access patterns and APIs. Works closely with users, designers and backend engineers, and may join a short-term embedded Frontline rotation with customers.
Palantir Technologies New York, United States US$135,000 – US$200,000 pa
Builds the lowest layers of Palantir's software stack, contributing high-quality code for database technologies, distributed systems, large-scale data systems, security and application infrastructure. Work spans performant search and indexing, open-source data processing libraries, container orchestration and opinionated APIs, using Java, Rust, Go, Cassandra, Elasticsearch, Kafka and Kubernetes.
eFinancialCareers London £700 pd
Hands-on role building AI-powered applications, intelligent workflows and machine learning solutions in Python, taking them from concept through to enterprise production deployment. Involves LLMs, agentic frameworks, AI orchestration, model evaluation, testing and monitoring, working with technical teams and business stakeholders to drive AI adoption.
eFinancialCareers Belfast
Builds and maintains Java/J2EE microservices and RESTful web services for Citi's Risk Data Team within the Institutional Data Platform, working on high-performance data pipelines and aggregation engines. The role involves Core Java multi-threading, Spring Boot, SQL optimisation, CI/CD and code quality tooling, plus leading and mentoring a team of developers. Hybrid working in Belfast with up to two days per week from home.
Tenth Revolution Group London £85,000 – £115,000 pa
Lead architecture and technical strategy for enterprise-scale Databricks programmes, designing Lakehouse solutions on Azure and overseeing engineering delivery, quality and governance. The role combines hands-on Databricks expertise with mentoring data engineers and shaping roadmaps with senior stakeholders, spanning analytics, ML and GenAI workloads.
Tenth Revolution Group Manchester £55,000 pa
Design, build and optimise scalable data pipelines and platforms supporting business-wide analytics and reporting. Join a growing data function at the start of a greenfield transformation, establishing best practices and modern architecture using PySpark, SQL, Microsoft Fabric, Delta Lake and Lakehouse. High autonomy and direct exposure to senior leadership.
Palantir Technologies New York, United States
Builds the lowest layers of Palantir's Foundry and Gotham platforms, working on database technologies, distributed systems, large-scale data, security and application infrastructure. Engineers design opinionated APIs, automate systems like Cassandra, Kafka and Kubernetes, and may join a short-term Frontline rotation embedded with customers.
Palantir Technologies Seattle, United States US$135,000 – US$200,000 pa
Builds elegant, robust APIs powered by Kubernetes controllers, bridging raw clusters and a fully featured, infrastructure-agnostic runtime for hundreds of microservices. Works with forward deployed and customer engineers on product gaps and a long-term tech roadmap, in a PaaS serving US Government customers in sensitive, disconnected, cloud or edge environments.
Palantir Technologies Washington, United States US$135,000 – US$200,000 pa
Builds and evolves APIs powered by Kubernetes controllers, abstracting complex distributed systems so government and vendor developers can deploy microservices into a secure, infrastructure-agnostic runtime. Works with forward-deployed and customer engineers to close product gaps, and champions a long-term roadmap for scalability and reduced operational burden.
Palantir Technologies New York, United States
Builds the lowest layers of Palantir's Foundry and Gotham platforms, focusing on database technologies, distributed systems, large-scale data, security and application infrastructure. Work spans performant search and indexing, open-source data processing libraries, container scheduling and opinionated APIs, using Java, Rust, Go, Cassandra, Elasticsearch, Kafka and Kubernetes.
Palantir Technologies New York, United States US$135,000 – US$200,000 pa
Builds and evolves APIs powered by Kubernetes controllers, bridging raw clusters and an infrastructure-agnostic runtime for hundreds of microservices. Works with forward deployed and customer engineers on a PaaS for US Government customers, shaping the product's early strategy and long-term tech roadmap.
Palantir Technologies New York, United States US$110,000 – US$147,000 pa
Ensures stability and reliability of mission-critical workflows built on Palantir software, going on call to resolve incidents before customers are impacted. Uses field learnings to drive product change, shape internal tooling, and automate or streamline workflows, documenting best practices to raise reliability across the organisation.
Palantir Technologies New York, United States US$135,000 – US$200,000 pa
Works directly with customers to own Gen AI strategy and implementation, building end-to-end LLM workflows and taking them to production at large scale. Operates like a hands-on AI startup CTO in small teams, delivering high-stakes projects and feeding field learnings back into the AIP product suite. Requires strong engineering and ML foundations plus up to 25% travel to client sites.
