Top Data Engineer Jobs in Manchester

As a Data Engineer, you will build and maintain data pipelines, assist data scientists, and improve data management practices.

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.

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.

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.

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

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 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.

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.

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.

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 Senior Data Platform Engineer, you will design and operate a scalable data platform, support analytics, mentor junior engineers, and drive technical excellence.

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.

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

The Data Migration Engineer will design and execute SQL-based ETL processes, manage data migrations, collaborate with teams, and ensure data fidelity while transitioning agencies to Mark43's systems.