207 jobs
Tenth Revolution Group Reading £90,000 – £110,000 pa
Hands-on senior role designing and building scalable data platforms, ETL/ELT pipelines and Data-as-a-Service capabilities that power analytics, machine learning and AI products for enterprise clients. Involves setting standards for data quality, governance, lineage and observability, plus secure data services and APIs, with scope to build and lead a wider data function.
Tenth Revolution Group London £75,000 – £105,000 pa
Design, build and deploy production-grade LLM and Generative AI applications, including RAG solutions, scalable data pipelines and AI-powered services for enterprise clients. The role blends software and data engineering with modern AI platforms, plus deployment, monitoring and optimisation of live systems, in a fully remote team of engineers, architects and AI specialists.
eFinancialCareers London £70,000 – £106,000 pa
Designs and builds a greenfield data platform in a hybrid Azure and on-prem environment, creating pipelines, ETL processes and data models while migrating legacy capability. Works within a circa 100-person EMEA Data & Analytics Technology team, mentoring peers and aligning delivery to platform strategy. Requires at least two days a week in the London office.
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.
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.
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.
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.
eFinancialCareers London £600 – £700 pd
Shapes future-state architecture across a data platform landscape, leading build vs. buy assessments and providing strategic direction to delivery and technology teams. Supports the transition from current to target-state architecture, resolving conflicts and dependencies while weighing low-code/no-code and AI trends. Requires banking and enterprise data platform expertise.
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.
eFinancialCareers Belfast
Lead the design and implementation of data strategies and architectures for the Funds domain, covering fund accounting, ETFs, IBOR and ABOR. The role owns data modelling, governance, lineage and metadata management, and partners with engineering and business stakeholders on regulatory and client reporting. It combines deep funds-industry domain knowledge with hands-on architecture leadership.
eFinancialCareers London
Designs, builds and optimises scalable Snowflake data solutions for Risk, Finance, Treasury and Regulatory reporting in a financial services environment. Hands-on delivery covers ELT/ETL pipelines, dbt transformation frameworks, Python automation, data modelling and performance tuning, alongside solution architecture and stakeholder workshops.
