Citi★3.9 (21k)· London

You will work with TypeScript, React, HTML5, CSS, JavaScript (ES6+), Chromium/Electron/OpenFin, FDC3, REST/WebSocket APIs, Kafka/Solace/Tibco, and CI/CD with Jenkins. The team delivers pricing solutions and trading GUIs for Citi’s Foreign Exchange business. You will provide technical leadership, mentor junior engineers, and drive AI integration.

Work with Microsoft Fabric (Lakehouses, Warehouses, Dataflows, Pipelines), Azure (SQL, Data Lake, Data Factory), SQL, Python, and REST API/SFTP to build ETL/ELT solutions. You will deliver modern data integration solutions for a diverse portfolio of clients within RSM’s Global VAT Team.

MAREX★3.2 (6)· London

Risk Data Analyst at Marex works with the Data Platform, Power BI, and structured/unstructured datasets. The role bridges Risk and Technology, supporting data-led risk management, monitoring, and reporting across disciplines like market, credit, and operational risk.

Develop backend services using Node.js, Python, Java, C#, PHP, and Ruby on Rails, with databases including MySQL,

Senior Developer role working with C#, .NET 4 & 6, SQL Server, Azure cloud services, SignalR, RabbitMQ, Kafka, Azure Service Bus, and CI/CD via Azure DevOps in an Agile environment. The team delivers a complex SaaS product for a regulated financial marketplace, requiring experience in financial or trading software.

Develop C# .NET BI applications using Visual C#.NET, Oracle, and SQL Server. Support existing applications and environments for a Japanese banking group's BI IT department, including data analysis with T-SQL and PL/SQL. Troubleshoot systems on Windows Servers and databases, liaising with teams in London and New York.

Build enterprise-grade web applications using Python (Django/FastAPI), React, TypeScript, and PostgreSQL. Develop RESTful APIs, responsive UI components, and contribute to system design, CI/CD pipelines, and performance optimization.

You’ll work with Python (Django/FastAPI), React, TypeScript, PostgreSQL, REST APIs, and CI/CD. You’ll own end-to-end feature delivery on scalable, enterprise-grade web applications.

Principal C#/.NET engineer leading solution design and hands-on development using C#, .NET Core, MongoDB, SQL Server, Kafka/ActiveMQ, and OpenShift/Kubernetes. Mentors developers and directs engineering, applying SOLID, microservices, and contract-first API design within a regulated financial services environment.

Python micro-services with RabbitMQ and OpenShift/Kubernetes, using SQL Server and Parquet. The London Commodities Risk Technology team builds a front-office distributed platform for trading and risk calculations on assets like oil, gas, power, and exotics, collaborating with traders and quants.

You will work with Python, JavaScript, SQL, Kafka, AWS/Azure, PostgreSQL, SQL Server, ClickHouse, and MongoDB. The team designs and delivers real-time, high-performance trading systems for Energy & Commodities, integrating market data, risk, and front-to-back office workflows.

Work with Microsoft Azure data platforms: Azure Synapse, Azure SQL Server, Azure Data Factory, Azure DevOps, Microsoft Fabric, and OneLake; also uses DBT and Spark. You will modernize core data platforms—ingesting data from MS Dynamics CRM, Finance & Operations, and SAP SuccessFactors—to power analytics, AI-driven insights, and executive decision-making.

Builds cloud platforms for a systematic quant hedge fund's trading and research, using AWS (EC2, S3, VPC), Python/Bash, Jenkins/GitLab CI, Terraform/CloudFormation/AWS CDK, Docker, and Kubernetes to support digital asset and crypto systems.

SmartestEnergy★4.1 (15)· London

You will work with Microsoft Azure Data Platform, Microsoft Fabric, PySpark, SQL, Python, Azure DevOps, CI/CD, and Power BI to build enterprise-scale data pipelines and Data Lakehouse/Data Warehouse solutions. The team develops modern cloud-based data solutions supporting ETL/ELT processes across Medallion Architecture for SmartestEnergy’s energy digitisation and decarbonisation goals.

HSBC★4.0 (16k)· London

Work with Python, Docker, Kubernetes, Flask/FastAPI, PyTorch/TensorFlow, SQL Server/Postgres, and CI/CD pipelines to build and deploy production-grade ML and GenAI services. You will join the Growth AI programme within HSBC’s Corporate & Institutional Banking Data & Analytics, developing AI applications to identify business opportunities and mitigate client attrition.

You will build and maintain Python services using FastAPI and Azure Functions, design and consume REST APIs, work with MS SQL Server, and leverage Azure infrastructure. The team delivers a loan management platform for a global financial services firm, handling complex servicing workflows in a regulated environment.

Work with Microsoft Azure Data Platform, Microsoft Fabric, PySpark, SQL (T-SQL and Spark SQL), Python, Azure DevOps, and Power BI. You will build enterprise-scale data pipelines and support Data Lakehouse and Data Warehouse solutions for SmartestEnergy, a global energy company.

Work with Azure and AWS cloud platforms, programming in Java and Python, and big data frameworks including Hadoop, Spark, Apache Hive alongside Informatica and SQL databases (Microsoft SQL Server, Oracle). The role involves data processing tasks within Assura Protect's cloud infrastructure.

Capgemini★3.7 (11k)· London

Design, build, and manage data pipelines and models using AWS Snowflake, Azure Data Lake, Databricks, Redshift, and BigQuery. Automate CI/CD with Azure DevOps, GitHub Actions, Jenkins, GitLab CI/CD, and provision infrastructure with AWS CloudFormation, Docker, ECS, EKS, and Kubernetes. Capgemini is an AI-powered global business and technology transformation partner.

NHS★3.6 (9.8k)· London

Work with SQL Server, Qlikview, Qlik Sense, SSIS, and SSRS for configuration, backup, performance tuning, and administration. You will develop and enhance a reporting environment that integrates data from clinical systems, supporting London North West University Healthcare Trust and Hillingdon Hospitals NHS Foundation Trust.

NiCE★3.4 (30)· London

You'll work with Python, Go, Java, C#, Bash, PowerShell, AWS (EC2, ECS, Lambda, DynamoDB), CloudFormation, Terraform, Jenkins, GitLab CI/CD, CircleCI, Docker, Kubernetes, Prometheus, Grafana, ELK stack, Cloudwatch, and optionally Grafana Observability Suite, Splunk, Datadog, PagerDuty, Rundeck, Ansible, Puppet, Chef. As an individual contributor, you'll run production, improve reliability, and support multiple large distributed software applications for NiCE, a provider of customer experience, financial crime, and public safety software.

Works with .NET, C#, Azure (Functions, Service Bus, Cosmos DB), SQL Server, and explores AI concepts (LLMs, prompt engineering). The engineering team builds publishing systems for content delivery, access control, workflow, analytics, and eCommerce at Sage, an academic publisher. The leadership role shapes technical direction and mentors colleagues.

You'll work with Blazor, Razor pages, MVC, C# .NET, ASP.NET Core APIs, MS SQL Server, Azure data technologies and Azure DevOps. The Analytics Product Engineering team builds and manages a bespoke analytical platform for insurance pricing, exposure management, event response and underwriting tools.

Mott MacDonald★3.9 (699)· London

Design, build and maintain a scalable internal developer platform using Terraform, Kubernetes, Docker, and GitHub Actions, with cloud platforms (ideally Azure) and observability tools like Prometheus, Grafana, or ELK. You will work within Mott MacDonald’s Digital Unit to provide platform solutions that help clients derive value from information, supported by a global team.

A full-stack or backend specialist will use C# and .NET Framework, SQL Server (T-SQL), RESTful APIs, Azure DevOps, and messaging queues (RabbitMQ, Kafka) to build secure integration pipelines and backend services. They will execute a critical integration programme for an international Wealth Management firm to connect core internal and third-party systems.