Build backend databases in SQL Server and Azure, build machine-learning models in Azure, Microsoft Fabric and Alteryx, and develop front-end apps using Python, SQL, C#/.NET and JavaScript for the SMDAM Private Markets team. The role drives private credit data infrastructure end-to-end, extracting insights from text to power deal-sourcing and monitoring across the entire private credit lifecycle.

A data engineering lead role working on a financial services transformation programme. You will design scalable data solutions using Databricks (Delta Lake, Unity Catalog), dbt, Spark/PySpark, AWS (S3, Glue), and Airflow. Responsibilities include leading data pipeline delivery and migrating from legacy platforms to a modern cloud data platform.

Methods Business and Digital Technology★4.5 (2)· London

Design, build and improve ETL/ELT pipelines using SQL, Python, Apache Spark (PySpark/Spark SQL), Azure Data Factory or Airflow, Docker, and CI/CD. You will support client engagements to stabilise business-critical processes and establish repeatable data foundations across enterprise systems, working with data from Ariba, Workday, or SAP S/4HANA.

Work with Go, Rust, Python, Java, or C++ and headless browsers (Chrome DevTools Protocol, Playwright, Puppeteer) to build large-scale web crawlers and data pipelines. The team develops infrastructure for acquiring massive amounts of public web data to train AI models, operating a distributed crawler via a bandwidth-sharing network and processing billions of videos, transcripts, and audio files.

Work with Python, Java, C++, TensorFlow, Keras, PyTorch, and optionally NLP, computer vision, and cloud platforms (AWS, Azure). The role at Demo Co. involves developing and implementing AI models and algorithms, integrating AI solutions into existing systems, and conducting research to enhance AI application performance.

You will design, develop, and productionise optimisation algorithms and decision-support tools using Python, Java, and/or Rust, employing MILP, metaheuristics, stochastic programming, or reinforcement learning. The role involves building cloud-deployed CI/CD, containerised, and orchestrated solutions for transportation, logistics, workforce scheduling, and media planning as part of cross-functional product squads. You will act as a senior technical lead, mentoring peers and driving engineering standards.

PlayStation★3.8 (164)· London

Design, build, and optimize data ingestion, transformation, and enrichment pipelines using SQL, Snowflake, Python, and REST APIs. You will join the Security Data Analytics team at PlayStation, developing data products and pipelines that help Information Security teams understand security posture and risk trends. This is an individual contributor role; no team size is stated.

Sumitomo Group★3.7 (463)· London

Work with SQL Server, Azure, Python, C#/.NET, JavaScript, Alteryx, Microsoft Fabric, PowerBI and DealCloud. Build backend databases, ML models and front‑end tools for the Private Markets team’s European LBO direct lending and private credit vehicles. The Data and Analytics team is adding its third key member to lead data‑platform engineering.

Millennium Management★3.8 (21)· London

Software engineers build and maintain distributed systems for intraday risk, trade, and portfolio management using Python, Java, or Rust and cloud platforms like AWS or GCP.

Lead Java Developer (Contract) role using Java 17+, Spring, Spring Boot, Azure, containerisation, serverless tech, Terraform, and Python. Building enterprise-quality optimisation and ML solutions for field operations. Leading development, API design, and tech decisions.

WPP★3.7 (378)· London

Lead Java Developer role at WPP's Satalia building a new logistics optimization platform using Java 17+, Spring, Spring Boot, Azure, serverless and containerized tech, Terraform, and some Python, with API design and tech selection duties. The team develops optimization and ML-based enterprise solutions, and the role leads a development team.

Build trading systems, market data infrastructure, and quantitative research platforms using C++, Python, and Java. The role is with a network of 40+ top trading firms, focusing on trading platforms, risk systems, and data infrastructure for high-frequency trading.

Senior engineers at Great Yellow design and own data pipelines (ETL, dbt, SQL) and write production code in a Cloudflare-native TypeScript/React monorepo. The team builds the data and software platform that powers a system for making regenerative land-use investable and scalable.

You'll work with Python, SQL, Linux, Docker, and legacy systems, plus desirable tools like dbt, Snowflake, Kafka, AWS, and Java. You'll develop ELT pipelines, build a streaming platform for tick data, and consolidate legacy systems for Aspect Capital, a London-based systematic hedge fund. This is a lean team owning end-to-end delivery of data ingestion and transformation.

Work with Python, Java, or C++, and AI frameworks like TensorFlow, Keras, or PyTorch to develop and implement AI models and algorithms. You will solve real-world problems, integrate AI into existing systems, and research performance enhancements for cutting-edge AI applications at Demo Co.

This role involves building data pipelines, Snowflake data models, and automation using SQL, Python, Java, or R, with practices like version control and CI. The engineer joins Sony Interactive Entertainment's Security Data Analytics team, supporting Information Security with analytics-ready data and AI-enabled workflows.

Work with Python, JavaScript, SQL, Kafka, AWS/Azure, PostgreSQL, SQL Server, ClickHouse, MongoDB, and optionally Kubernetes to architect real-time, high-performance trading systems for energy and commodities markets, integrating market data, risk, and back-office platforms.

Java and Python developer with 4+ years experience building and maintaining data infrastructure and reporting tools for PIMCO's middle office transformation. Work involves cloud-ready distributed systems, SQL/NoSQL databases, RESTful APIs, Kafka, and caching technologies.

Senior Data Engineer role working with Azure Synapse, Azure SQL Server, Azure Data Factory, Azure DevOps, Microsoft Fabric, OneLake, DBT, Spark, and Power BI. The team modernizes core data platforms across bronze, silver, and gold layers, transitioning from Synapse to Fabric to power advanced analytics and AI-driven insights.

You’ll use Python, Java, or Scala with AWS, Kubernetes, Terraform, CloudFormation, Airflow, Dask, JupyterHub, Bazel, and CI/CD to design, build, and run the distributed-compute and data-science platform powering Macquarie’s Commodities and Global Markets trading and analytics workflows.

You will work with Python and large datasets (SQL, advanced .NET a plus) to research predictive signals from order book dynamics, trade flow, and market microstructure. This proprietary trading firm designs and deploys systematic HFT and market-making strategies for cryptocurrency markets, trading exclusively with its own capital. As a senior quantitative researcher, you will own the complete research lifecycle from hypothesis through live production.

Senior Software Engineer role on the Risk Services team within Global Markets. You will build scalable distributed systems using Java (Spring/Spring Boot) and Python, working with messaging frameworks (Kafka, MQ) and CI/CD pipelines to support risk data processing, analytics and reporting workflows.

You will build distributed backend services with Java (Spring/Spring Boot), Python, Kafka/MQ, XML, and CI/CD pipelines on Unix/Linux. The team develops risk data processing, analytics, and reporting platforms for global markets products such as Rates, Credit, Equities, and Derivatives.

Wells Fargo★3.6 (48k)· London

Principal Engineer working with Java, Python, C++, FIX protocol, and low-latency systems within Wells Fargo Securities’ Electronic Trading Technology. The role builds cross-asset electronic trading platforms for Rates, including pricing, market making, and order routing, and defines AI-assisted engineering practices using LLMs and Model Context Protocol (MCP).

You will work with Snowflake, SQL, Python/Java/R, REST APIs, JSON/XML, and dbt. The Security Data Analytics team builds data pipelines, models, and automation to turn security signals into analytics-ready data for Information Security teams. This is an individual-contributor backend data engineering role.