Top Data Engineer Jobs in London

As a Frontend Engineer, you'll build internal web apps, maintain dashboards, collaborate with researchers, and contribute to backend services using React and Python.

Develop and scale the data platform: build time-series data pipelines, APIs, databases, CI/CD and cloud/on-prem infrastructure; apply AI for automated analysis; ensure data quality, testing and cross-team collaboration.

Build and operate Kafka and CDC pipelines, help architect an Iceberg-backed Lakehouse, deliver scalable data serving layers, enable self-service analytics, drive data observability, and consult teams on integration, modelling, and schema design.

The role involves designing scalable data pipelines for 3D, video, and sensor data, optimizing infrastructure, and productionizing ML models with researchers.

As a Lead Data Engineer for the Concorde program, you will design and implement scalable data solutions on AWS and Snowflake, lead data engineering teams, and develop automated data pipelines while collaborating with business stakeholders.

The Research Engineer will build and scale data infrastructure, architect multi-cluster orchestration, and enhance storage systems for AI training platforms.

Design, build, and optimize data pipelines. Ensure data integrity, performance, and maintainability while collaborating with engineering teams. Act as a point of escalation for data issues.

As a Software Engineer in Data and Lifecycle, you'll design and implement solutions for trade automations, maintain reference data, and collaborate with stakeholders.

Seeking a Software Engineer for the Data and Lifecycle team to automate trade processes, maintain reference data, and collaborate with stakeholders on derivatives.

The Data Centre Engineer will manage data centre operations including design, installation, and maintenance of equipment while ensuring data safety and accessibility.

Build and maintain scalable, secure data pipelines, warehouses, and streaming systems. Collaborate with engineering, data science, analytics, and product teams to translate requirements, optimise architectures, and deliver the data platform. Mentor peers, promote best practices (CI/CD, testing, observability, IaC), and contribute to the data engineering roadmap.

As a Senior Data Engineer, you will design data pipelines, collaborate with teams, build demos, and improve data processes within a cloud-native environment.

As a Data Engineer, you will design, build, and maintain data pipelines and infrastructure to support data-driven decision-making in a collaborative environment.

The Software Engineer will manage data collection for model training, operate cloud infrastructure, and collaborate on data management strategy to enhance Speechify's AI capabilities.

Build and operate production data pipelines and streaming integrations ingesting market data and asset telemetry. Partner with trading and data science teams to deliver data for forecasting models. Work with stakeholders to build integrations and analytical views and improve the data platform powering GAIA across the business.

Design, build, and maintain scalable data pipelines and ingestion patterns across GCP and AWS with BigQuery. Own Dagster orchestration, enforce data quality and lineage, integrate acquired firms into a canonical data model, and apply LLMs/AI tooling to automate entity resolution and schema mapping. Partner with Analytics, Product, and AI teams to support self-serve analytics, model training pipelines, and cost/performance optimization.

Own and evolve scalable data pipelines, transformations, and curated datasets for enterprise reporting and analytics. Build data models in warehouse/lakehouse environments, implement data quality/monitoring, and apply CI/CD and version control. Collaborate with analytics, BI, platform, and architecture teams to ensure reliable, governed, and reusable data services.

Collaborate with traders and researchers to design and build robust data systems for trading analysis in a fast-paced environment.

As a Full-Stack Senior Software Engineer, you'll build and evaluate systems for a Generative AI assistant, working on data pipelines, APIs, and user-facing features while ensuring quality and compliance.

Seeking a Front-End Engineer to lead UI architectural evolution, design component libraries, ensure performance, and guide technical leadership in a rapidly growing team.

The Data Platform Engineer will scale and modernize the data lakehouse, build data products, write ETL processes, and support analytics across the business.

The Data Engineer will design and support data warehouses, create analytics dashboards, perform data quality analysis, and identify process improvements. Responsibilities include collaborating with stakeholders to develop insights and ensure data governance.

The Senior Data Engineer will design and implement scalable data pipelines in Azure, collaborate with teams to improve data quality and accessibility, and drive standardization across data practices.

As Lead Data Engineer, you'll architect data systems for an AI product, building scalable pipelines and ML infrastructure while establishing engineering standards and mentoring future team members.

The Data Infrastructure Engineer will own the data lifecycle, architect high-reliability pipelines, and enhance infrastructure for AI agents.