Top Analytics Engineer Jobs in London

The Staff Analytics Platform Engineer will lead the architecture and development of a scalable analytics platform, focusing on Snowflake, ingestion pipelines, and technical mentorship.

The Analytics Engineer will manage analytics engineering relationships, develop data models and tools, and apply software engineering practices to optimize data-driven decisions.

Lead complex data and analytics workstreams while designing scalable solutions with SQL, dbt, Python, and modern data platforms. Drive data modeling, testing, CI/CD, documentation, reliability, and incident resolution. Partner with Product, Analytics, Technology, and Data Platform teams to deliver trusted data products, reporting, and commercial insights. Mentor engineers, delegate effectively, influence stakeholders, and help shape technical strategy and roadmaps.

As a Software Engineer, you'll develop and enhance core analytics libraries using C++ and Python, collaborate with quants and traders, and ensure high-quality software delivery.

As a Platform Engineer, you'll build and operate distributed analytics platforms, collaborate with teams to enhance capabilities, and drive improvements in automation and observability.

Own cloud architecture intelligence and cost optimization: analyze cloud spend, identify inefficiencies, build dashboards, enforce governance, partner with engineering/finance to drive cost-conscious design and operations.

Lead design and ownership of scalable dbt/Snowflake data models and BI exposures, set standards and trust infrastructure (testing, contracts, observability), review AI-assisted SQL, mentor engineers, integrate third-party data, and enable stakeholders with reliable analytics.

Design, model and optimise core data models and governance for analytics and AI products using a modern data stack. Build feature pipelines and evaluation datasets, partner with cross-functional stakeholders, ensure data quality and documentation, and drive standards to scale data reliability and AI-readiness across the company.

Design and maintain marketing-focused data infrastructure and models in Snowflake and dbt. Build self-serve datasets in Omni, ensure data quality and metadata, enable activation into operational tools, support campaign attribution and funnel reporting, and train stakeholders.

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

The Analytics Engineer will transform raw data into insights, manage the data stack, automate processes, and engage with stakeholders to optimize data usage.

Design and optimise downstream data models in BigQuery to support reporting, ML, financial and regulatory use cases. Build and maintain scalable ETL pipelines, define data modelling and testing standards, improve warehouse performance and data quality, collaborate cross-functionally, own pipelines and provide occasional on-call support.

Develop and enhance Neo4j Graph Analytics for Snowflake, focusing on SQL-facing APIs, build pipelines, and improving security while collaborating with clients.

Own and uplift the data transformation layer (dbt + Snowflake), maintain streaming pipelines (Kafka), enforce CI/CD, testing and documentation, optimise warehouse performance and cost, deploy AI-assisted/autonomous agents, and mentor analysts while owning the transformation infrastructure roadmap.

As a Senior Data Engineer, you will enhance data governance, improve data quality, and ensure compliance. You'll lead implementations, develop observability systems, and mentor teams to strengthen data reliability across the organization.

Design and maintain scalable data models in Snowflake using dbt, expose datasets via BI tools, manage ingestion and data activation, enforce data quality and metadata, mentor junior engineers, and lead training to enable self-service analytics.

The Senior Analytics Engineer will design, build, and scale the analytics platform, focusing on data modeling, analytics solutions, and business partnerships to enhance data-driven decision-making.

As a Senior Analytics Engineer, you'll design core data models, build AI system foundations, and ensure data quality while collaborating across teams.

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

As a Data Engineer, you'll develop data pipelines, manage data integration and transformation, and support analytics and intelligence projects for government clients.

Design and build production data models and metrics using DBT and cloud data platforms. Drive metric ownership, cross-functional analytics, and scalable data products. Lead technical projects, improve data architecture and processes, and advise teams on analytics, FinOps, and AI-assisted workflows to enable data-driven decisions across the company.