Top Analytics Engineer Jobs in London

The Senior Analytics Engineer will improve data user productivity, mentor analysts, establish data infrastructure and best practices, and become an expert in data tooling. Responsibilities include working with cross-functional teams, building core datasets, and assessing data modeling practices.

As a Platform Engineer on the Analytics Platform team, you'll enhance the infrastructure of the data platform to ensure high performance and reliability. This involves implementing observability frameworks, maintaining data flows across systems, and collaborating with cross-functional teams. You'll also work on the ELT move to an orchestrated Airflow deployment, ensuring alignment in data serving and availability.

As a Staff/Principal Engineer in the Analytics and Insights Team at Personio, you will design and develop scalable analytical products while ensuring data integrity, implementing performance optimizations, and enforcing security measures. Collaboration with cross-functional teams and maintaining documentation are key responsibilities, alongside staying updated on industry trends.

Join the quantitative analytics team to develop valuation and risk calculations for various products. Responsibilities include the full software development lifecycle, collaborating with quant analysts, and sharing engineering expertise across teams.

As a Quantitative Developer focusing on PnL reporting and trading analytics, you will develop and maintain reporting pipelines, contribute to the trading system, and optimize performance. Key responsibilities include implementing features, debugging, collaborating with researchers, and ensuring software quality through testing.

As a Senior Node.js Engineer and Team Lead, you will lead the Blockchain Analytics Team to develop solutions for extracting and analyzing blockchain data, design high-performance ingestion mechanisms, and enhance existing systems. You'll mentor engineers and ensure the team stays current with blockchain technology advancements.

As a Senior Analytics Engineer, you will develop and maintain data models, establish ELT pipelines in Snowflake, enhance model efficiency, and support product operations through analytical insights, while collaborating with various stakeholders.

As an Analytics Engineer at Accurx, you will maintain the data warehouse's presentation layer, build data models for analysis, collaborate with data analysts and BI specialists, enhance data design and performance, and support the company's long-term data strategy by promoting data governance practices.