Top Data Engineer Jobs in Bristol

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 Cloud Infrastructure Engineer will design and manage cloud infrastructure, ensuring security, reliability, and scalability while collaborating with engineering teams.

You will design and maintain scalable data products, promote data engineering best practices, and work closely with business teams on AI and ML use cases.

As a Data Engineer, you'll maintain and configure the Snowflake data platform, design integration pipelines, and innovate with new tools. Your role supports data security and performance while collaborating across teams.

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

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.

As a Senior Data Engineer, you will build data platforms, design data pipelines, and integrate data models to support analytics and data science for clients. The role involves hands-on engagement, leading teams, and solving engineering challenges while communicating effectively with clients.

Lead a team of data engineers to build data platforms and pipelines, transforming operational data into integrated models for analytics. Engage with clients and solve engineering challenges with hands-on expertise in modern data tools.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

Design and maintain scalable data pipelines, migrate data from Postgres to Clickhouse, and develop DBT models for reliable decision-making.

As a Senior Software Engineer, you'll maintain critical parts of ClickHouse's Data engineering ecosystem, focusing on JVM-based frameworks and ensuring high-performance integrations for real-time analytics and data workloads.

Manage and enhance the infrastructure for proprietary threat intelligence, enabling teams to improve efficiency in a cybersecurity context.

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, you'll build data infrastructure, manage ETL pipelines, ensure data quality, and collaborate with teams for analytics and reporting solutions.

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

The Staff Data Engineer will create a scalable data platform, implement data strategy, improve operational practices, and collaborate across teams.

As a Senior Data Engineer, you will design and maintain data systems, write complex ETL processes, and support machine learning models while collaborating closely with data science and web development teams.

Lead the design and implementation of strategic data architecture, develop and maintain data pipelines, ensure data governance and quality, and mentor team members.

As a Data Reliability Engineer II, you will analyze and enhance data pipelines, write scripts in Python and SQL, and work with data visualization tools. You will also engage in on-call support and improve operational quality.

The Staff/Lead Fullstack Engineer will enhance the Mimica Webapp by architecting scalable UI components, managing large datasets, and optimizing performance while collaborating with cross-functional teams.

The Senior Data Engineer will focus on ingesting and curating satellite imagery and geospatial data, building data pipelines, and mentoring junior engineers, while ensuring performance and scalability.

The Senior Data Engineer will architect scalable pipelines on AWS, analyze blockchain data, and collaborate with leadership on data-driven decisions.

The Lead Data Engineer will design and build scalable data systems, mentor engineers, and ensure efficient data architecture and infrastructure across Zego's data engineering function.

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.