6 of 6 Python Data Engineer Jobs in the City of London

A leading global investment firm is seeking a Market Data Engineer to join its London-based team and help build robust, scalable tick data infrastructure that powers systematic trading strategies across asset classes. This is a high-impact engineering role focused on designing and optimizing real-time and historical market data pipelines in a cloud-native … environment. You'll work closely with trading and quant teams to ensure data is clean, fast, and accessible - enabling research, signal generation, and execution at scale. What You'll Do Build and maintain high-performance tick data pipelines for ingesting, processing, and storing large volumes of market data. Work with time-series databases (e.g., KDB, OneTick) and Parquet … based file storage to optimize data access and retrieval. Design scalable cloud-native solutions (AWS preferred) for market data ingestion and distribution. (Bonus) Integrate Apache Iceberg for large-scale data lake management and versioned data workflows. Collaborate with trading and engineering teams to define data requirements and deliver production-grade solutions. Implement robust data More ❯

A leading global investment firm is seeking a Market Data Engineer to join its London-based team and help build robust, scalable tick data infrastructure that powers systematic trading strategies across asset classes. This is a high-impact engineering role focused on designing and optimizing real-time and historical market data pipelines in a cloud-native … environment. You'll work closely with trading and quant teams to ensure data is clean, fast, and accessible - enabling research, signal generation, and execution at scale. What You'll Do Build and maintain high-performance tick data pipelines for ingesting, processing, and storing large volumes of market data. Work with time-series databases (e.g., KDB, OneTick) and Parquet … based file storage to optimize data access and retrieval. Design scalable cloud-native solutions (AWS preferred) for market data ingestion and distribution. (Bonus) Integrate Apache Iceberg for large-scale data lake management and versioned data workflows. Collaborate with trading and engineering teams to define data requirements and deliver production-grade solutions. Implement robust data More ❯

My leading financial services client are looking for a Senior Data Engineer to help develop and expand their global analytics platform, supporting their Commodities front office trading business. You'll work with business stakeholders to understand requirements, design and build robust data pipelines and deliver end-to-end analytics and ML/AI capabilities. This is a … long-term contract role. The following skills/experience is essential: Strong expertise in Python, PySpark, and SQL Extensive hands-on experience with Databricks Familiarity with Data Science and Machine Learning frameworks Previously worked in Financial Services Trading environment Background in DevOps and Infrastructure as Code (IaC) Commodities industry experience is highly desirable Rate: Up to £700/… day Duration: 12 months + Location: London (good work from home options available) If you are interested in this Senior Data Engineer position and meet the above requirements please apply immediately. More ❯

A leading global hedge fund is seeking a Business Intelligence & Data Engineer to join its high-impact Reporting & Analytics team. This is an opportunity to sit at the intersection of technology, data, and decision-making — helping build and enhance systems that power operational insight and strategic thinking across the business. You’ll work closely with senior stakeholders … developers, and analysts to transform raw data into meaningful intelligence, supporting the firm’s continued growth and evolution toward next-generation analytics platforms. What you’ll do Partner with business teams to translate requirements into structured reporting and actionable insights. Build and maintain dashboards and analytics tools using Tableau and SQL-based data sources. Develop and optimise data pipelines and models to support self-service analytics. Ensure data accuracy through rigorous validation and reconciliation processes. Create engaging, consistent report designs that align with brand and user experience best practices. Contribute to documentation, training, and cross-team collaboration to promote analytical excellence. What we’re looking for 4+ years of experience in data development, analytics, or More ❯

We're seeking a highly skilled and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake … and collaborate across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support … analytical workloads and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/ More ❯

We're seeking a highly skilled and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake … and collaborate across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support … analytical workloads and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/ More ❯