Top Data Engineer Jobs in Bristol

As a Junior Data Engineer, support Senior Engineers in creating data solutions and pipelines, collaborating with data teams, and ensuring data compliance and quality.

The Principal Data Engineer will architect and implement scalable data systems, ensure performance and reliability, lead technical strategy, and improve operational efficiency across data engineering projects.

The Data Engineer role involves designing and deploying production data pipelines, collaborating with stakeholders, and utilizing AWS technologies for data processing and analytics.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

As a Data Engineer at Starling, you will build cloud-native data warehouses and ML platforms, improving tooling within AWS and GCP.

The Data Engineer will build and maintain data pipelines, architecture, and CI/CD infrastructure, collaborate with stakeholders, and support AI components to enhance data management capabilities.

The Principal Data Engineer designs and builds large-scale backend services and data pipelines, leading technical initiatives and mentoring junior engineers.

As a Data Engineer, you will design, build, and maintain data pipelines and infrastructure to support data-driven decision-making in a collaborative environment.

As a Data Engineer, you will evolve data pipelines, design ETL/ELT processes, integrate data, and ensure data quality for stakeholders.

The Data Engineer will build and optimize ETL/ELT pipelines, collaborate on data solutions, and create Power BI dashboards to support business decisions.

The Data Engineer will architect and maintain the data infrastructure, focusing on high-volume logs and performance pipelines to support observability and analytics for various teams.

The Data Engineer will design and support data warehouses, create analytics dashboards, perform data quality analysis, and identify process improvements. Responsibilities include collaborating with stakeholders to develop insights and ensure data governance.

The Data Engineer will design, build, and maintain data infrastructure, develop warehousing solutions, automate data pipelines, and ensure data compliance while fostering collaboration with stakeholders.

You will coordinate logistics data projects, ensure operational accuracy, and collaborate with digital delivery teams to improve service levels and efficiency.

Design, build, and optimize scalable data platforms using Azure and Databricks. Responsible for developing ETL/ELT pipelines, maintaining data quality, and collaborating with analytics teams.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

As a Data Engineer, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

Seeking a Data Migration Engineer to design and execute data migration strategies, ensuring accuracy and compliance with quality standards, and collaborating with stakeholders.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

The Principal GCP Data Engineer leads the development of data solutions on Google Cloud, overseeing engineering teams, developing data pipelines, and ensuring quality. They mentor team members and collaborate with stakeholders to achieve technical excellence and business alignment.

The Senior Data Engineer will design and implement scalable data products, collaborate on ML solutions, and maintain best practices in data engineering.

The Senior Data Engineer will build data pipelines, work with various data platforms, adopt best practices, and mentor engineers.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

The Data Engineer will develop and manage cloud-based data infrastructures, build robust data pipelines, collaborate with stakeholders, and drive data product innovation.

The Senior Data Engineer will design and maintain data pipelines on Google Cloud, automate ETL processes, and mentor junior engineers.