Morgan Stanley★3.8 (5.4k)· London

You'll work with core Java on UNIX/Linux, Git/Stash, Jenkins, JUnit, REST, TypeScript/Angular, low-latency messaging middleware, KDB/q, and FIX protocol. The role builds, deploys, and supports algorithmic trading strategies, analytical tools, and scalable trading engine infrastructure for automated systems in Equities. As a VP-level Lead, you'll manage multiple functions and guide junior staff.

Design and build Snowflake pipelines and ELT processes, using Tasks, Streams, and secure views, while ingesting insurance data via Azure Data Factory and feeding semantic models into Power BI. The role builds out an enterprise data platform for a London Market insurer, supporting Underwriting, Claims, Finance, and Portfolio Management with real business consumption.

You will work with Java, Spring Boot, Hibernate, REST APIs, microservices, Spring MVC, Spring Data JPA, Spring Security, and SQL databases (MySQL/PostgreSQL). You will design, develop, and maintain scalable Java-based applications and microservices for enterprise clients as part of a UK-based IT consultancy serving Fortune 500 and FTSE 100 companies.

Lead an AI-native platform using agent orchestration, knowledge infrastructure, retrieval systems, workflow engines, APIs, evaluation pipelines and multi-agent coordination. The role builds the institutional platform for Smart Bricks, adding an intelligence layer to real assets. You will recruit and lead the founding engineering team.

You'll work with JavaScript, ElasticSearch, OpenSearch, MongoDB, Apache Kafka, EKS and Kubernetes on Ripjar's Labyrinth Screening SaaS platform, which automates detection of financial crime for banks and governments. This role leads technical decisions and architecture for scaling the platform.

Build features across Svelte/TypeScript front end and Python (FastAPI/Django) back end. Tab is a profitable YC-backed travel fintech processing thousands of hourly payments for 100,000+ global tourism businesses.

Senior Data Engineer role at a private equity real estate firm, building cloud-based data pipelines and ETL processes using SQL, Python, Snowflake, AWS/GCP, and APIs. You'll integrate internal and external data sources, develop analytics solutions supporting investment decisions, and mentor two junior engineers while owning technical delivery.

Harvey Nash★3.8 (49)· London

SQL, Snowflake (or similar), AWS (S3, Lambda), Tableau/Power BI, and Python. You'll build and maintain data pipelines and integrations as a mid-level Data Engineer within a blended team at a global Media & Entertainment company.

Work with Java, Spring Boot, Docker, Kubernetes, and message brokers to design cloud-native microservices and event-driven systems. You will lead development of Chip Financial Ltd’s unique Lombard lending platform for its proprietary brand and SaaS clients. Mentor junior engineers in a high-impact fintech environment.

Work with Java, Spring Boot, Hibernate, microservices, REST APIs, PostgreSQL/Oracle, and testing tools (JUnit, Cucumber, Wiremock, Mockito) in an agile, DevOps environment. You will build and improve the prepaid payment platform for Edenred PayTech, delivering features across the full development lifecycle.

Barclays★3.9 (6.9k)· London

The listing does not specify any concrete technologies, languages, or tools. You will join the Liquid Financing Technology team, building and enhancing data solutions for a modern cross-asset Client Risk platform used by Front Office, Risk, Finance, and Operations teams to monitor exposures, assess risk, and meet regulatory requirements.

You'll work with SQL, Databricks, Python, GA4, Google Tag Manager, and Salesforce. Building scalable marketing data pipelines and a centralized platform to connect CRM and marketing systems, enabling attribution and campaign measurement for a global company undergoing digital transformation.

Build and ship end-to-end features using TypeScript, Vue.js/Nuxt.js, Node.js, Docker, AWS, MySQL, and AI-assisted tools like Claude. You’ll own infrastructure and deployment for &Dine’s online food marketplace connecting independent makers with customers. Join a lean engineering team of four.

You will build Venmark’s AI-platform from scratch using NextJS, Java, TypeScript, and AI-powered workflow automations. The company is an AI-native certification firm transforming the testing, inspection, and certification market by acquiring and integrating traditional providers onto a modern platform. As the first tech hire, you will embed with acquired SMEs across the UK.

FDM Group★2.9 (270)· London

Lead multiple cross-functional engineering teams for a banking/lending technology programme at a financial services client. Oversee ~20 engineers across 3-4 feature teams using Java, Spring Boot, React/React Native, and cloud-based solutions. Drive DevOps, CI/CD, secure coding, and platform modernisation.

Build and scale core APIs using Java, Kotlin, or Go, and build internal tooling with React and TypeScript for a leading audio streaming platform. You'll work on Trust & Safety platforms that handle content policy enforcement, compliance, and data pipelines feeding machine learning models.

Founding Product Platform Engineer working full-stack with Python, FastAPI, React, TypeScript, and SQL (BigQuery/Snowflake). Build the platform layer for a decision platform that helps high-stakes teams explore outcomes and understand uncertainty, translating complex AI workflows into repeatable B2B products. As the first dedicated product engineering hire, you will architect platform foundations including auth, permissions, and APIs.

You will use Snowflake, Openflow, ETL/ELT pipelines, Salesforce, NoSQL, Azure, AWS, Power BI, and Tableau, alongside data science, ML, EDA, and feature engineering. The role involves architecting data solutions, optimizing workflows, and enabling analytics across cloud environments; no specific product or team scope is described.

Lead projects developing scalable web apps for global financial clients using React, TypeScript, modern CSS (Flexbox/Grid, SASS, Material UI), Redux, Webpack, and Jest/Mocha. You will mentor engineers, drive front-end strategy, and work with DevOps/CI/CD and containerisation (Docker/Kubernetes).

Full stack developers will use Python, Django, HTML5, CSS3, SASS/LESS, JavaScript, React/Angular, AWS, Ansible, and PostgreSQL. The company builds blockchain technology for the financial industry, and the role involves scaling an existing platform within a tight-knit team.

Citi★3.9 (21k)· London

Build FX Risk valuation platform using Core Java, Apache Ignite, Kafka, Solace, MongoDB, and Oracle in a cloud-hosted Linux environment. The team develops high-throughput microservices for real-time derivatives pricing, risk management, and data analytics, serving traders, sales, and external clients.

Snowflake★3.7 (31)· London

You'll work with Python, SQL, LangChain, Hugging Face, PyTorch, RAG, and modern data architectures (warehousing, lakes, lake house). As a Solution Engineer, you'll present Snowflake's AI Data Cloud, deliver demos and proof of concepts, and collaborate with sales and channel partners to drive adoption.

BlackRock★3.8 (632)· London

You will design and develop distributed Java applications using Spring, Spring Boot, REST APIs, streaming technologies like Kafka and Apache Flink, relational databases (MS SQL Server, PostgreSQL, Sybase ASE), and Microsoft Azure. You will join BlackRock Global Markets’ In-Business technology team, building reliable, scalable technology to support the firm’s investment processes and platform architecture.

Snowflake★3.7 (31)· London

Work with Python, SQL, and modern AI/LLM ecosystems including RAG, LangChain, Hugging Face, and PyTorch, supporting data warehousing, data lakes, and lake house architectures. As a Solution Engineer at Snowflake, you drive sales cycles, deliver demos, and run enterprise Proofs of Concept for the AI Data Cloud.

Snowflake★3.7 (31)· London

Senior Solution Engineer at Snowflake supporting UK customers, using SQL (and ideally Python) to demonstrate Snowflake’s data cloud and AI capabilities. The role involves hands-on demos, proofs of concept, and collaborating with sales teams, partners, and product management to solve complex data challenges.