Top Analytics Engineer Jobs in London

The Lead Analytics Engineer will mentor analysts, develop data infrastructure, ensure data quality, and lead the adoption of new tools while driving best practices in data modeling and storytelling.

The Analytics Engineer will transform raw data into high-quality datasets, optimize data models, ensure data quality, and build data visualizations, collaborating with data analysts and engineers.

The Analytics Engineer designs and implements data models, ensures data quality, collaborates on requirements, and manages data governance in a hybrid working environment.

As a Senior Analytics Engineer, you will design models, optimize data pipelines, collaborate with teams, mentor juniors, and promote AI readiness.

The Analytics Engineer II role involves data modeling and transformation, managing workflows, ensuring data quality, and collaborating with stakeholders to provide actionable insights using dbt and Snowflake.

The Analytics Engineer will create well-documented datasets, work with product teams to model source data, optimize Looker, and advise data scientists.

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

As an Analytics Engineer II, you will build and maintain analytical data models, collaborate on data pipelines, and contribute to key metrics and dashboards to support decision-making.

Lead design and evolution of core analytical data models, define analytics engineering standards, build and optimize ETL/ELT pipelines, own the BI/semantic layer (Looker/LookML), drive data quality and governance, partner with cross-functional teams, and mentor analytics engineering across the company to enable reliable, scalable decision-making and experimentation.

The Analytics Engineer will build and maintain data models using dbt, optimize SQL queries, and collaborate with teams to ensure data quality and performance.

The Analytics Engineer will build data models, support financial functions, and collaborate with finance and crypto engineering teams to enhance data operations.

Build, maintain and document tested, reusable datasets and data marts using dbt and cloud warehouses. Own daily operations, troubleshoot issues, perform code reviews, validate data, and collaborate with stakeholders to deliver analytics solutions and improve team practices.

As an Analytics Engineer, you'll analyze business data, define metrics, create dashboards, and establish data governance while working across teams to enhance data-driven decisions.

The Analytics Engineer will manage data transformation, ensuring clean data and business logic are well-defined for reliable insights, supporting company growth.

As an Analytics Engineer, you will design scalable data models, identify growth or savings opportunities, define performance metrics, and influence KPIs while addressing technical challenges and coaching team members.

You will design and manage data platforms for ZOE's commercial decision-making, focusing on GTM, data layers, and high-quality data pipelines using tools like BigQuery and GCP. You will ensure accurate tracking, build data infrastructure and collaborate with engineers on events and data models.

As a Senior Analytics Engineer, you'll design AI-augmented workflows, build scalable data models, and enhance data governance practices, while collaborating with cross-functional teams.

As a CRM & Power Platform Developer, you'll enhance and support sales technology, focusing on Dynamics 365 and Power automation. Ensure system stability, align sales processes, and improve data quality through technical solutions.

The Senior Data Analytics Engineer will develop automated reporting solutions, analyze data across business functions, and enhance data quality. Collaboration with internal teams to drive self-service analytics and establish reporting standards is essential.

As a Senior Analytics Engineer, you'll develop and maintain analytical data models, collaborating with engineering teams to enhance product insights and data quality.

Build and maintain data models, ELT pipelines, tracking plans, and self-serve data products; collaborate with engineers and product teams; ensure data quality and metrics; design an AI-enabled semantic layer for natural-language data access.

The Analytics Engineer will design and maintain Power BI dashboards, implement data models, and collaborate with stakeholders to ensure data solutions meet organizational objectives.

As a Software Engineer on the Catalog Insights team, you will deliver key product capabilities, design data pipelines, and collaborate cross-functionally on technical solutions to enhance customer experiences.

The Analytics Engineer at Upsun transforms raw data into metrics, collaborates with teams for data-driven decisions, and enhances operational efficiency in a remote culture.

The Lead Analytics Engineer will oversee data architecture for borrowing, develop robust data models, enhance data governance, and improve data practices to enable financial goals for customers.