Top Analytics Engineer Jobs in London

The Analytics Engineer is responsible for designing, optimizing data infrastructure, and analytical tools, ensuring data reliability and accessibility while collaborating with stakeholders to meet their data needs.

The Lead Analytics Engineer will oversee the data models, lead the dbt project, ensure data quality, and strategize cross-functional data opportunities while mentoring the team.

As an Analytics Engineer, you will build and maintain data models, contribute to dbt projects, and ensure high data quality while collaborating with multiple teams.

Design and maintain data models, manage data pipelines, optimize SQL queries, ensure data quality, and collaborate with the analytics team.

As Analytics Engineer, you'll build and optimize data transformations and models, monitor data quality, and collaborate with stakeholders to enhance decision-making.

The Analytics Engineer will build and support data pipelines, ensure data quality, collaborate with teams on data requirements, and own data in production environments. Responsibilities include designing high-impact data products and optimizing data warehousing processes.

As a Cloud Software Engineer, you will design and implement cloud architecture for graph analytics, collaborate with teams, develop software in Go and Python, and apply data-driven practices to enable high-performance graph algorithms and ML features.

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.

Lead Backend Engineer for Incard's analytics and integrations. Responsibilities include managing data ingestion, system design, team leadership, and ensuring data accuracy and observability.

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

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.

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 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 Analytics Engineer, you'll model data, maintain reliability through tests, support teams with data insights, and ensure smooth fund flows to charities.

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.

As a Senior Analytics Engineer, you will oversee data architecture for the Zable App, enhance data models, mentor analysts, and collaborate with teams to improve data-driven decision-making.

Design and build analytics platforms utilizing dbt for data modeling with a focus on data quality, governance, and CI/CD pipelines, ensuring scalable insights across global operations.

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'll handle analytics delivery, ensuring data informs decision-making for product and leadership. Responsibilities include building dashboards, managing data models, and engaging with stakeholders.

The Staff Engineer will lead the design and ownership of backend systems that drive marketing websites, collaborating with cross-functional teams to improve data handling and infrastructure. Responsibilities include architecting scalable solutions, enhancing A/B testing and reporting systems, and providing mentorship.

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 Senior Analytics Engineer will deliver clean, well-modelled datasets for data scientists, optimize Looker usage, and collaborate with engineering teams.

The role involves converting data into analysis-ready datasets, collaborating with teams, building data models, ensuring data quality, and enabling self-service BI for stakeholders.

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

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