Top Data Engineer Jobs in London

Design, build, and operate resilient ETL/ELT pipelines ingesting data from Azure SQL, SaaS, and event streams into BigQuery. Implement declarative pipelines (DLT), support low-latency ML feature pipelines, ensure operational health, monitoring, and incident response. Collaborate with analytics and AI/ML teams, mentor junior engineers, optimise platform performance, and influence platform architecture and tooling decisions.

Lead the development of an internal web application for computer vision model exploration and data labeling. Collaborate with stakeholders, integrate frontend with existing systems, and ensure maintainable code practices.

Lead the design and delivery of the Data Transfer Hub, managing large-scale data transfer pipelines and working directly with partners like Uber and Nissan.

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.

Contract role to design and deliver a proof-of-concept knowledge graph for investment fund data. Build OWL2/RDF ontologies, SHACL validation shapes, SKOS concept schemes, R2RML/rdflib ETL to Turtle/N-Quads, SPARQL APIs, and governance reports integrating enterprise triple stores across multiple markets.

As an AI Engineer at Wavestone, you'll lead AI-driven transformation projects, develop production-grade AI solutions, and mentor team members while shaping innovative AI strategies.

Operate and support Kafka clusters (MSK and on-prem), manage Kafka Connect ecosystem (Debezium, KSQL, Schema Registry), troubleshoot producers/consumers, implement HA/backup strategies, automate provisioning (IaC/scripting), monitor and tune cluster performance, support incident response and on-call, and document operational procedures.

Build and maintain production data pipelines and features in Python; own project lifecycle from design to reliable production; set technical direction for the Insights platform; improve engineering standards (testing, observability, data quality); apply AI across products and pipelines; help establish semantic/AI-ready data layers.

Join Isomorphic Labs as a Software Engineer focusing on data services. Collaborate with scientists and ML researchers on software platforms, enhancing drug discovery through data engineering and service-oriented architectures.

Design, build and optimize scalable AWS-based data pipelines and ETL processes (batch and near-real-time) using Python, SQL, Airflow, Glue and Redshift. Improve performance, reliability and cost efficiency, implement monitoring/alerting, support governance, security and compliance, collaborate with architecture and analytics teams, and mentor colleagues.

The Senior Data Engineer will design and maintain scalable data pipelines, ensure data quality, and develop backend services to support WalletConnect's payments infrastructure and analytics.

Design and implement core YTsaurus functionality in C++, build and evolve platform-level capabilities, improve APIs and UX for internal users, own production quality including incident response/on-call, and collaborate with stakeholders to prioritize and deliver scalable data platform features.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The role involves developing data pipelines, managing metadata and data quality in Azure, ensuring compliance with data governance standards, and collaborating with data teams.

As a Senior Data Engineer, you will design, maintain data pipelines and production ML systems, ensuring data reliability and performance. You'll collaborate with teams, support junior members, and work on cloud infrastructure, mostly in AWS.

The Senior Data Engineer will design, develop, and maintain data pipelines, ensuring data quality and reliability while collaborating with cross-functional teams to meet business needs.

Architect and build serverless AWS data ingestion and processing pipelines for real-time marketing and analytics. Develop ETL/ELT routines, integrate APIs/files/ERP/ecommerce/CRM sources, implement storage and query layers, enable monitoring, fault recovery, and performance tuning, support deployments and 3rd-line client support, contribute to data models, and mentor local support specialists.

Build and maintain scalable data pipelines and platform components to serve analytics, ML, and product teams. Design data services/APIs, ensure data quality, observability, security and compliance, and evolve cloud-native infrastructure using IaC and Kubernetes. Partner with cross-functional teams, produce documentation, and ship reliable, tested data solutions.

Design, build, test and document secure batch and real-time data pipelines, perform logical/physical database design and data modelling, expand platform capabilities, analyse and resolve data processing issues, and ensure alignment with data architecture for downstream consumers.

Build, test, and document secure batch and real-time data pipelines for a government client; design logical and physical databases; extend platform capabilities; ensure data models align with architecture; perform data analysis and root-cause investigations to improve processing and availability for downstream consumers.

Design and build scalable pipelines to ingest, transform and harmonise large healthcare datasets into research-ready formats (OMOP/FHIR). Lead technical direction, implement data quality and governance, collaborate with data scientists and epidemiologists, and deliver reusable data products using cloud and big-data technologies.

Design, build, and maintain scalable data pipelines and platform services to support analytics, ML, and product teams. Implement infrastructure-as-code (Terraform) and Kubernetes-based deployments, develop data services/APIs, and ensure data quality, observability, security, and compliance. Partner with cross-functional teams, document systems, and continuously improve performance and reliability.

As a Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, and collaborate across teams, contributing to the Data Platform's growth.

Design, build and scale production data pipelines and analytics-ready models on AWS and Snowflake using dbt. Lead data platform architecture, ensure reliability, implement CI/CD and testing, mentor engineers, and embed governance, observability and security practices.

Build and maintain scalable ETL/ELT pipelines, integrate ServiceNow and Salesforce data, implement Microsoft Fabric medallion architecture, and develop Power BI reports and semantic models to deliver reliable insights and support stakeholders.