209 jobs
Tenth Revolution Group London £70,000 – £85,000 pa
Builds and maintains scalable data pipelines in Databricks, developing batch and streaming workflows and designing Lakehouse architectures with medallion models. Works alongside data scientists, analysts and product teams in a cloud-first Azure environment, implementing data quality, governance and observability frameworks while driving engineering best practice through code reviews.
Tenth Revolution Group London £70,000 – £80,000 pa
Leads analytics workstreams within enterprise data and transformation programmes, managing teams of Data Analysts, Analytics Engineers and Data Engineers. Defines delivery, governance and quality standards, partners with senior stakeholders, and contributes to bids and pre-sales. Requires strong SQL and Python plus Fabric, Databricks or Snowflake experience.
Palantir Technologies New York, United States US$145,000 – US$155,000 pa
New-grad engineers join Palantir's Production Infrastructure org, contributing code to Kubernetes-based platforms like Apollo, Rubix and Signals that underpin Foundry and Gotham. Work spans the full product lifecycle, from prototyping to shipping, with a dedicated mentor and close collaboration with technical and non-technical colleagues.
Palantir Technologies New York, United States
New-grad engineers join Palantir's Foundations organization, building shared infrastructure across the Foundry, Gotham and Apollo platforms in one of four areas: backend, developer, frontend or storage infrastructure. Work spans the full product lifecycle, from idea generation and design to execution and rollout, with a dedicated mentor and close collaboration with technical and non-technical counterparts.
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 £90,000 – £120,000 pa
Lead the strategy, design and evolution of a large-scale cloud data and integration ecosystem, owning enterprise-wide platform architecture, standards and best practices. Drive modernisation roadmaps across data, integration and platform engineering, designing event-driven and streaming architectures while shaping CI/CD, automation and infrastructure-as-code strategies. Work with senior stakeholders across Azure, AWS or GCP, Snowflake and Kubernetes.
Tenth Revolution Group London £95,000 – £125,000 pa
Architect and implement Databricks Lakehouse solutions covering ingestion, processing, storage, governance and analytics for enterprise clients. Lead architectural engagements, tune workloads for performance and cost, and build CI/CD pipelines with Databricks Repos, GitHub Actions and Azure DevOps. Work hybrid in London within a consultancy's architecture practice, advising clients on data strategy and governance.
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 £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.
Palantir Technologies Palo Alto, United States
New-grad engineers join Palantir's Foundations org, building shared infrastructure behind Foundry, Gotham and Apollo across backend, developer, frontend or storage tracks. Work spans the full product lifecycle, from design to rollout, with a dedicated mentor and close collaboration with technical and non-technical counterparts.
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
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 London
New-grad engineers contribute production code to the shared infrastructure behind Foundry, Gotham and Apollo, spanning backend, developer, frontend and storage infrastructure. Teams work on a Kubernetes-based PaaS, fleet-wide deployment tooling and observability systems, building tools used by other developers.
eFinancialCareers Belfast £45,000 – £60,000 pa
Hands-on role building and maintaining ETL/ELT pipelines, data warehouses and data lakes, with a focus on Microsoft Fabric, SQL Server, SSIS and SSRS, plus tools like Fivetran and Alteryx. You'll take ownership of the data engineering function, support data migration from legacy systems and work closely with analysts, scientists and business stakeholders.
