Top Analytics Engineer Jobs in London

As an Analytics Engineer, you will design and maintain data infrastructure, develop data pipelines, and ensure data quality while collaborating with teams to leverage analytics insights.

Lead the Analytics Engineering team to enhance data capabilities and governance, ensuring high performance and alignment with business objectives. Drive a product-focused culture, maintain data quality, and enhance team growth and collaboration.

The Analytics Engineer will build data architecture, ensure data quality, develop ELT pipelines, and support business stakeholders with data insights.

As a Lead Analytics Engineer, you'll mentor analysts, drive data infrastructure roadmap, build core datasets, and ensure best practices in data management and tooling.

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

Responsible for developing customer-facing APIs, enhancing alerting platforms, optimizing analytical queries, and ensuring operational health of systems in a distributed data environment.

Lead a team to design scalable data models, collaborate with stakeholders on data delivery, ensure data integrity, and mentor junior members in a technology-driven environment.

The Data Engineer will manage the data lifecycle, integrate data sources, design ETL processes, develop data models, and create dashboards, while ensuring data quality and compliance.

The Analytics Engineer transforms data into insights, develops data pipelines, ensures data integrity, collaborates on analytics solutions, leads projects, and implements DataOps practices.

The Analytics Engineer will design and implement scalable dimensional models, optimize SQL scripts, and ensure data integrity for global clients.

As an Analytics Engineer, you will develop data models, collaborate with teams on datasets, ensure data quality, and identify opportunities to enhance decision-making through analytics.

The role involves transforming raw data into analytics-ready datasets, deploying data models in DBT, designing reports and dashboards, and collaborating with various stakeholders to ensure effective data solutions.

The Analytics Engineer will build and maintain data models, optimize SQL queries, and collaborate on analytics projects to ensure data quality and accessibility.

As an Analytics Engineer at Birdie, you will develop data models and success metrics to empower care teams, ensuring data quality while delivering insights for better home healthcare.

The Analytics Engineer at GoHenry will design, build, and maintain data models, collaborate with teams to enhance data processes, and contribute to data observability and upkeep of data warehouses.

The Analytics Engineer will design and implement scalable data models, enabling insights on product performance, and shaping product evolution by collaborating with product teams.

The Analytics Engineer will develop data transformation pipelines, ensure data quality, partner with teams for data products, and promote best practices in analytics engineering.

Join a team building innovative products on Cloudflare's network, focusing on performance and reliability in delivering software solutions.

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.

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.

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

Build, model, test and productionise data assets using dbt and BigQuery, maintain Looker semantic layer, improve data quality and documentation, collaborate with analysts, data engineers and product teams to enable self-serve analytics and scalable data platform improvements.

As an Analytics Engineer, you will implement data visualizations, manage analytics lifecycle, mentor junior team members, and drive the adoption of Sigma Computing.

The Analytics Engineer II will develop data products, optimize data schemas, build data pipelines, and collaborate with teams to improve data quality and insights.