Top Analytics Engineer Jobs in London

The Senior Platform Engineer will design and build analytics platforms, working in cross-functional teams to enhance systems supporting health research. Responsibilities include participating in architecture design, engaging in agile practices, delivering high-quality software, and supporting operations teams. This role emphasizes collaboration and integrating new data sources.

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.

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 Software Engineer at Canonical, you will develop data analytics and MLOps solutions using open-source tools. You will collaborate with engineers to design and maintain systems deployed on various infrastructures while engaging with communities to debug and improve the platform.

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.

In this role, you will design and implement data architectures and productionalize use cases in capital markets, optimizing data governance and performance for clients while also guiding them in adopting Databricks Lakehouse.

As a Data and Application Engineer at Apollo, you will design and implement data solutions, working hands-on with data to improve processes and applications. Responsibilities include stakeholder engagement, data solution design and delivery, ensuring data quality, and leveraging modern data platform tools. You will collaborate with business teams to transform and analyze data effectively.

The Lead Data Engineer will oversee the Gross Margin pipeline, driving technical vision, managing a team of engineers, and ensuring scalable, efficient data processing. Responsibilities include leadership in product design, enhancing team capabilities, and ensuring data quality to support financial analysis and decision-making across the business.

The Lead Data Engineer at Octopus Energy will manage the Gross Margin pipeline, ensuring accurate financial reporting and analysis through high-quality data. Responsibilities include leading a team of engineers in developing scalable technology solutions and fostering a collaborative team environment. The role requires oversight of technical outcomes and best practices, as well as hands-on contributions to coding and design.

As a Data Engineer Consultant, you will develop and implement data engineering pipelines, manage client relationships, and ensure the efficient use of data for analytics and business intelligence in a consultancy setting. Responsibilities include ETL processes, data modeling, and designing cloud-based solutions, while adhering to data compliance and security standards.

The Senior Data/Software Engineer will lead the development and integration of BI applications, enhancing the data platform's scalability and performance while managing a high-performing engineering team. Key responsibilities include software development, implementing best practices, collaborating with cross-functional teams, and ensuring data integrity with secure access protocols.