You’ll build and maintain scalable data pipelines and implement observability, monitoring, and data quality checks using Python, SQL, shell scripting, containerization, and IaC tools (with Scala/Java preferred). You’ll support AI/ML-driven financial technology platforms at a global fintech company, collaborating with product engineering, data science, and business teams.

Lead engineers on Canada Life’s Digital Product Team build user-facing products with modern front-end frameworks, CI/CD pipelines, and Azure-hosted solutions, specialising in UI/UX, accessibility (WCAG 2.2 AA), and front-end performance. They lead cross-functional squads through the full lifecycle, coaching engineers and setting technical direction for customer-centric digital experiences.

Work with Ray, Spark, Dask, Databricks, Anyscale, Cloudera, Snowflake, Kubernetes, and GPU-heavy distributed training (e.g., XGBoost via Ray) to build a greenfield research stack for a prop trading firm's new central trading team.

You will work with TypeScript, React, HTML5, CSS, JavaScript (ES6+), FDC3, REST/WebSocket APIs, OpenFin, Chromium, Electron, Kafka, Solace, Tibco, Jenkins, and AI-assisted development tools. The team delivers pricing solutions for the Foreign Exchange (FX) business, building high-quality trading GUIs for internal and external traders. As a Vice President, you provide technical leadership and mentor junior engineers on a globally distributed team.

Build enterprise applications using Java, Spring Boot, RESTful APIs, microservices, SQL, and Angular/TypeScript. The team delivers large-scale software for a global financial services firm, actively using AI tools like GitHub Copilot and Claude.

Build enterprise applications using Java, Spring Boot, RESTful APIs, microservices, SQL, and Angular/TypeScript, with AI tools like GitHub Copilot or Claude. The team delivers large-scale enterprise software for a global financial services organization.

You'll work with Python, SQL, Azure or AWS, Databricks/Snowflake/Redshift, Airflow/Azure Data Factory/Prefect, and dbt/Kafka/Terraform. The role builds and optimises cloud-based data infrastructure supporting analytics, reporting, and future AI initiatives for a fast-growing technology company.

The trainee will work with Linux, Git, Docker, CI/CD tools, and cloud platforms (AWS, Azure, Google Cloud). They will build CI/CD pipelines, deploy applications to cloud environments, manage containers, and create Infrastructure as Code templates through practical portfolio projects. No prior DevOps experience is required.

Python, SQL, Apache Spark, Airflow, Azure Data Factory, Docker, and Kubernetes. You will design, build, and maintain data-driven applications, integrating with data lakes, lakehouse architectures, and enterprise databases for large-scale analytics systems.

Senior Java Developer using Java, Spring, and AWS. You will design, build, and maintain features on a live SaaS platform for a HealthTech company that delivers patient care and rehabilitation software.

Senior back-end Java developers will deliver scalable, enterprise-grade applications using Java in a complex technology environment for a global investment bank’s Risk function.

Developers use C#/.NET, Java, or Python, along with SQL databases and cloud platforms like Azure or AWS. The role involves problem-solving and communicating with technical and non-technical audiences, with no specific project or team scope detailed.

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.

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.

React, Node/TypeScript, relational

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.