Citi★3.9 (21k)· London

Backend Java developer building the Citi Integrated Digital Assets Platform (CIDAP) using Java Spring, web3 libraries (Web3J/Web3JS), Solidity, and containerized DevOps tools (Git, Jenkins, Helm).

Citi★3.9 (21k)· London

You will work with Java, Spring, Web3J/Web3JS, Solidity, Docker, and Hardhat/Foundry to build Citi’s Integrated Digital Assets Platform (CIDAP), integrating blockchain networks and digital asset infrastructure.

Citi★3.9 (21k)· London

Work with Solidity, Web3J/Web3JS/Ethers.js/Viem, Java/Spring, Node.js, and blockchains such as Ethereum, Hyperledger Besu, Canton, and Solana, using Hardhat/Foundry/Truffle for testing. Contribute to Citi's Integrated Digital Assets Platform (CIDAP) building Web3 components for tokenization, smart contracts, and on-chain settlement.

BNY★3.5 (5.5k)· London

You'll use Java 17/21 with Spring, Maven, Groovy, JavaScript/TypeScript (Angular), Docker, GitLab CI/CD, IntelliJ, Windsurf, Splunk, and AppDynamics to build secure backend services, batches, and APIs for a global financial services company.

Java (JDK 11+), multithreading, SQL/NoSQL databases (Oracle, MySQL, PostgreSQL, MongoDB, Cassandra), message queuing (Kafka, Tibco, Solace), Linux, JVM, and TDD. This tech lead role builds high-performance FX risk calculation systems for Citi’s Markets technology team, which supports global trading and risk management.

Work with Microsoft Fabric, Databricks, Azure, Snowflake, Python, Spark, SQL/NoSQL, PowerShell, Azure Data Factory and Azure DevOps to build a Fabric Data Lakehouse for USS’s Investment Management business, implementing scalable ETL/ELT frameworks across a medallion architecture. Share knowledge across a small team of data engineers and collaborate with architects, business stakeholders and data teams.

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.

You will work with TypeScript, React, and ideally Elasticsearch, along with Git and standard testing tools. You will build and shape an AI-driven platform that reduces bureaucracy for charities, handling grant management, funding applications, event bookings, and impact analysis.

Bloomberg★3.8 (1.1k)· London

You will work with Python, SQL, PySpark, Pandas, NumPy, Airflow, dbt, Kafka, Iceberg, Trino, Superset, and data visualization tools. The Entity Data team manages core entity data for over 7 million public and private companies, supporting reference data and private markets; as Data Quality Manager you define and execute the quality strategy.

Bloomberg★3.8 (1.1k)· London

You'll work with Python, SQL, and modern AI-assisted tools to own the data management strategy and roadmap for Bloomberg's environmental regulatory data products, including EU Taxonomy, SFDR, and CSRD. You'll partner with Engineering and Product to evolve data models, quality frameworks, and operational controls that ensure scalable, auditable data products.

EPAM Systems★3.8 (703)· London

You will work with cloud platforms (AWS, Azure, GCP), Agile/Scrum/Waterfall methodologies, composable architecture (commerce tools) and data management concepts. As Delivery Director for Retail/CPG, you oversee end-to-end delivery of complex transformation programs, managing client relationships and multiple workstreams. You lead geographically distributed delivery teams and coordinate with global and local teams.

MAREX★3.2 (6)· London

You will work with C# .NET, JavaScript, TypeScript, React, Node.js, GraphQL, Docker, NoSQL/RDMS databases, and AWS cloud services (ECS/EKS, Lambda, S3, RDS, API Gateway). The team builds and maintains applications to strengthen the company’s market-making capabilities and improve operational efficiency across multiple asset classes and geographies.

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.

Infosys★3.8 (17k)· London

You will work with Java, Spring Boot, Hibernate, JPA, React/Angular/Vue.js, HTML5, CSS3, JavaScript, RESTful APIs, SQL/NoSQL databases, Git, and CI/CD tools on cloud platforms (AWS, Azure, GCP). As a Senior Consultant at Infosys, a global digital services and consulting firm, you'll contribute across the consulting lifecycle—defining problems, proposing solutions, and guiding development, configuration, and deployment while mentoring teams and shaping client-focused solutions. Docker and Kubernetes experience is a plus.

Hays★3.5 (1.4k)· London

You will work with Snowflake, AWS, Python, SQL, dbt, Airflow and GitLab CI/CD. The role is part of a major cloud transformation programme building a next-generation, cloud-native data platform, including ETL/ELT pipelines and migrating legacy environments.

Leads multiple engineering teams using AWS cloud, microservices, DevOps, LLM APIs, and AI-assisted development. Oversees Client Service technology roadmap, building and modernizing CRM, booking, and customer engagement platforms. Manages Engineering Managers and Senior Engineers across multiple squads.

Java (JVM), Kafka, cloud infrastructure, containers and Kubernetes, Git, and DevOps tooling. You will build resilient integrations and automated test frameworks for LMEsmart, the LME’s Inter‑Office Trading platform that handles trade registration, lifecycle management and matching.

You will work with Snowflake, Azure Data Factory (ADF), and dbt Cloud to build scalable ELT pipelines. You’ll design and improve modern data solutions on the Retail Analytics Data Hub, serving protection, retirement, annuities, and pensions domains. As a hands-on lead, you will also mentor other data engineers.

Sainsbury’s★3.5 (16k)· London

You will design solutions for Sainsbury’s grocery website, using Figma for prototyping and working with design systems, accessibility specialists, and content strategists. You will collaborate with product and engineering teams in an agile environment to improve the customer’s online shopping experience.

Cognizant★3.8 (17k)· London

Work with ServiceNow modules (ITSM, ITOM, ITAM, HRSD, CSM, GRC, SecOps, App Engine), integrations (REST, SOAP, APIs, MID Servers), scripting (JavaScript, Glide, Flow Designer), CMDB, CSDM, and telecom OSS/BSS systems using TM Forum Open APIs. Architect ServiceNow solutions for telecommunications, defining platform roadmaps and leading cross-module implementations to align with OSS/BSS needs and enterprise governance.

Mott MacDonald★3.9 (699)· London

You will work with CI/CD, testing, observability and secure development practices, identifying AI opportunities. You lead the Connect Projects team, building software capabilities for Mott MacDonald’s digital portfolio in the architecture, engineering and construction sector.

Work with TypeScript, Python, Node.js, Playwright, Cypress, WebdriverIO, Docker, GitHub Actions/GitLab CI, bash, and Jira to build and maintain test automation frameworks and CI pipelines for Connected TV devices.

American Express★4.1 (9.7k)· London

You will work with Kotlin/JVM, Java, React, Postgres, MongoDB, Redis, Docker, Kubernetes, and GitHub Actions. The Financial Insights and Tools group builds financial analysis software for American Express customers, powered by APIs and underlying platforms for web and mobile applications.

You will work with Java, JavaScript, Python, or C#; open-source frameworks like Cypress, Karate, PlayWright, or Selenium; CI/CD pipelines in Azure DevOps; and JMeter for performance testing. As part of an agile team, you’ll help clients achieve business transformation goals through automated and manual testing.

WNS, a Business Process Management company, seeks a Lead Data Engineer with 10+ years experience to develop features and drive architectural decisions on their cloud delta lakehouse platform using SQL Server, SSIS, T-SQL, Azure Data Factory, ADLS, Azure SQL Database, PySpark, Spark SQL, Databricks, and Delta Lake. The role involves mentoring junior engineers, establishing engineering standards, and leading complex data warehouse initiatives within an agile team in central London.