Top Data Engineer Jobs in Bristol

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 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.

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

The role involves developing data pipelines, managing metadata and data quality in Azure, ensuring compliance with data governance standards, and collaborating with data teams.

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 Middle Data Engineer, migrate SQL Server data warehouses to Snowflake, refactor ETL processes, build data pipelines, and ensure reliable data movement.

As a Data Engineer at Screenverse, you'll build ETL pipelines, ensure data quality, and contribute to data strategy in a collaborative environment.

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 design and optimize data pipelines, manage data in various formats, and collaborate across teams to enhance self-service analytics, using technologies like PySpark and SQL.

The Data Engineer will design and maintain scalable data pipelines, optimize data infrastructure, monitor data quality, and enable analytics capabilities, ensuring alignment with business goals.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

As a Data Engineer, you'll design and implement data solutions, develop data pipelines, manage data transformation, and collaborate with teams to enhance data services.

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.

As a Principal Data Engineer, lead the design and development of high-performance data systems, ensuring reliability and scalability while leveraging Apache Kafka and cloud technologies.

As a Data Engineer, you'll design, develop, and implement high-performance data infrastructure and pipelines while communicating effectively with various stakeholders.

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

The Senior Research Data Engineer will architect data pipelines, manage data transformation, and collaborate with product and analytics teams to enhance health products.

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

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

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 role involves designing and implementing scalable Big Data solutions, providing technical thought-leadership, and collaborating with various teams. The candidate should possess data engineering skills and experience in hybrid environments, focusing on delivery effectiveness.

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.

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.

As an Analytics Engineer, you will design and maintain SQL models for on-chain data, work with transformation tools, and collaborate with engineers on data pipelines.