Top Data Engineer Jobs in Glasgow

The Data Engineer role involves designing and building data pipelines, integrating data sources, optimizing ETL processes, and collaborating with cross-functional teams. Responsibilities include mentoring junior engineers, conducting data quality checks, and ensuring adherence to data governance best practices.

The Data Engineer Lead will oversee a team of Senior Data Engineers, shape engineering standards, and deliver high-quality data solutions using Azure technologies.

Seeking a Senior Data Engineer to design, build, and deploy AWS-based data pipelines for Tier 1 financial services, mentoring junior engineers while ensuring scalable and fault-tolerant solutions.

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, you will build and scale data infrastructure, manage AWS cloud resources, and optimize ETL processes to support analytics and business needs.

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 implement data solutions on Azure, manage data lakes, and provide technical support for data products. Responsibilities include collaborating on customer requirements and refining development practices.

Design, build, and optimize cloud-based data platform components: ingest and transform varied datasets, create metadata-driven pipelines and data APIs, support AI/ML infrastructure, implement monitoring and metrics, and improve data processes to enable analytics and operational systems.

Design, build, and maintain a trusted semantic layer and reusable data models (dimensions, facts, metrics). Translate business logic into clear data specs, improve model reliability with testing and lineage, drive adoption across teams, standardize modelling conventions, and enable self-serve analytics for product, GTM, and finance stakeholders.

The Senior Data Engineer will design and maintain scalable data pipelines, ensure data quality, and develop backend services to support WalletConnect's payments infrastructure and analytics.

As a Senior Data Engineer, you will manage complex data projects, lead small teams, and work with clients on data engineering solutions. Responsibilities include ETL development, data pipeline orchestration, and customer relationship management.

Build and own end-to-end data pipelines and production code to turn raw data into insights. Ensure reliability through testing, observability, and data quality checks. Collaborate with product, data science, and engineering to ship features and apply AI where valuable.

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