Top Analytics Engineer Jobs in London

Lead a team of developers to deliver high-quality quantitative analytics solutions for financial clients, focusing on API service-based and cloud implementations. Manage projects from inception to delivery, ensuring alignment with business strategies and enhancing performance through leadership and coaching.

The Senior Data Engineer will build and maintain data pipelines for analytics, collaborating closely with analysts and engineers to provide reliable data access.

As a Data Analytics Engineer, you will design scalable data models, implement Looker structures, and optimize analytics workflows, ensuring data quality and operational efficiency.

Full Stack Developer responsible for front-end and back-end development, data analytics, machine learning integration, and API creation for a maritime digital management platform.

The Analytics Platform Engineer will develop and optimize BI solutions, focusing on Looker, and contribute to the overall data strategy while collaborating with various teams.

The Analytics Platform Engineer will design and maintain data platforms, manage data pipelines and foster collaboration across teams, focusing on user empowerment and technical solutions.

As a Senior Analytics Engineer, you will design data models, optimize ETL/ELT pipelines, and lead the analytics framework, collaborating across teams to enhance data reliability and support business strategies.

The Associate Principal Analytics Engineer collaborates with teams to build data infrastructure, design scalable data pipelines, and optimize analytics solutions for game performance insights.

As a Senior Backend Engineer, you'll build scalable data systems for analytics, design distributed infrastructure on AWS, and deliver impactful customer-facing features. You'll drive technical innovation and collaborate across teams to optimize risk portfolios for insurers.

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

As a Senior Analytics Engineer, you will collaborate with teams to deliver clean, reliable data, transform data sources, maintain data pipelines, and create dashboards using various tools.

The Senior Analytics Engineer will design and optimize analytics architecture, manage data transformation, ensure data quality, and drive automation initiatives. Collaboration with cross-functional teams will enhance business intelligence capabilities.

The role involves building software for private markets investors, focusing on portfolio analytics and automation of investment management processes.

The Senior Analytics Engineer will enhance decision-making and build data solutions by creating robust analytics pipelines. Responsibilities include collaborating across teams, improving data usability, and deploying tools like BigQuery and Looker.

As a Senior Analytics Engineer, you will create data products, enable data-driven decisions, and enhance the self-service analytics platform for various stakeholders using tools like DBT and Looker.

As a Senior Analytics Engineer, you'll design data frameworks and pipelines in Azure, refactor C# apps to Python, and ensure data reliability.

The role involves designing and developing advanced pricing and risk platforms in financial markets, collaborating across teams, and promoting Agile methodologies while ensuring high-quality software delivery.

Join QRT to develop monitoring tools for trading platforms. Build dashboards and reporting tools while collaborating with teams on analytics.

The Senior Analytics Engineer will transform complex data into reliable datasets, design data models, ensure data quality, and collaborate across teams to support data-driven decisions.

The Senior Analytics Engineer will enhance and maintain data pipelines and dashboards, lead analytics projects, and mentor junior staff using Python, dbt, and Snowflake.

The Senior Analytics Engineer will design and manage data models, collaborate across departments, optimize data platforms, and mentor team members, focusing on scalable, efficient data solutions.

The Senior Analytics Engineer will lead data analytics initiatives, build dashboards, and collaborate with various teams to enhance data-driven decision-making across the organization.

The Analytics Engineer will design and maintain data models, collaborate with stakeholders for KPIs, ensure data quality, and create visualizations. They will optimize dbt models, write SQL queries, and improve data processes.

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

Senior Analytics Engineers advise customers on complex process challenges, design impactful analytics solutions, and enhance user engagement with Seeq's software.