Top Data Engineer Jobs in Glasgow

As a Lead Data Engineer, you'll drive modernization efforts, manage applications architecture, support a global tech team, and ensure product delivery.

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.

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

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.

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 Senior Data Engineer will design and optimize data platforms, develop data models, and deliver insights using various technologies. Responsibilities include stakeholder collaboration and governance support.

Design and maintain data pipelines using Azure Data Factory and Databricks, ensuring data quality and collaborating with stakeholders to meet data requirements.

As a Senior Data Engineer, you will design and scale data systems, build ETL pipelines, ensure data quality, and collaborate with product, growth, and finance teams to support decision-making and analytics.

The Senior Data Engineer will enhance the master data platform using SQL, resolve data issues, and engage with stakeholders while participating in Agile practices.

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.

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