Top Data Engineer Jobs in Manchester

The Senior Software Engineer will design and build scalable backend services, integrate data pipelines, and ensure reliability and performance in a multi-cloud environment.

The Senior Software Engineer will design and build backend services, work on data pipelines, and ensure system reliability and performance in a multi-cloud environment.

As a Lead Data Engineer, you will manage data pipelines, guide a team, design data models, and collaborate with stakeholders to deliver insights.

As a Senior Data Engineer, you will build and optimize data pipelines, manage AWS data infrastructure, and ensure data quality while collaborating with teams to translate business needs into reliable data solutions.

The Senior Data Engineer will design scalable systems, automate ML operations, optimize performance, and enhance infrastructure for data processing and monitoring.

As a Senior Data Engineer, you will develop data platforms and pipelines, collaborate with stakeholders, mentor juniors, and support pre-sales efforts.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.

The Senior Data Engineer will build core infrastructure software for data platforms, mentor engineers, and ensure data access and performance across systems.

As a Senior Data Engineer, you'll design scalable data pipelines, collaborate with engineers and product teams, and evolve the architecture to support growth in users and data.

The Data Operations Engineer manages data feed infrastructure, ensuring secure, accurate data transfer, and collaborates with various teams to optimize processes.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.

Seeking a freelance technical writer for data infrastructure and engineering workflows. Responsibilities include translating complex concepts into digestible content and collaborating with SMEs for accurate communication.

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.