Top Data Engineer Jobs in Manchester

As a Data Engineer, you will design and deploy scalable data pipelines on AWS, working with multiple stakeholders and teams to solve complex data challenges.

The Data Engineer will design and deploy production data pipelines using AWS technologies, ensuring data movement and processing for analytics. This role involves collaboration and problem-solving across teams and stakeholders to deliver innovative data solutions for clients.

As a Data Engineer, you will design and build data solutions, develop and implement data pipelines, and maintain databases while ensuring adherence to technical standards.

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

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

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.

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.

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.

Design, build, and optimize AWS data platforms, ensuring secure data solutions while collaborating with stakeholders.

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.

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.

As a Data Engineer, you'll optimize data architecture on GCP and manage data pipelines, ensuring accurate data for internal teams. Responsibilities include building robust databases and collaborating with other teams to enhance data-driven solutions for clients.

Lead the development of data engineering solutions, guide a team through software development lifecycle, and manage data applications while ensuring security and compliance.

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

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

Develop and maintain data ingestion and processing pipelines, collaborate with teams to build reliable data infrastructure, and support scalable solutions for decision-making tools.

As a Senior Data Engineer, you will design and develop large-scale data processing solutions and lead technical components in agile 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.