Top Data Engineer Jobs in Edinburgh

The role involves designing and building cloud-based data pipelines using AWS, mentoring junior engineers, and ensuring data architectures are scalable and secure for financial clients.

As an AWS Data Engineer, you'll design and build data pipelines, lead engineering best practices, and collaborate on cloud migration strategies.

Seeking a Data Engineer to build and maintain data pipelines and systems, ensure data quality, and collaborate with teams for analytics and business decisions.

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

The role involves developing data pipelines, managing metadata and data quality in Azure, ensuring compliance with data governance standards, and collaborating with data teams.

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.

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.

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.

The Senior Microsoft Data Engineer will design and build business intelligence solutions on Azure, utilizing SQL Server, Data Warehousing, and BI practices to meet client needs.

The Data Engineer will develop data infrastructure, build data pipelines, implement workflows, and collaborate with teams to enhance data analytics capabilities.

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 Senior Data Engineer will design and build AWS cloud-based data pipelines, collaborate with clients on requirements, and mentor 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.

The AWS Data Platform Engineer will build and maintain data pipelines, improve data infrastructure, collaborate with teams, and ensure data reliability.

The Data Architect/Data Engineer will design scalable data architectures, build and optimize data pipelines, ensure data governance, and support advanced analytics and personalization, particularly using Adobe Experience Platform.

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.

Deliver scalable data infrastructure for automated workflows, design data warehouse schemas, and create dashboards for stakeholders in finance.

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.

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

As a Staff Software Engineer, you will lead the design and development of cloud services, improve querying experiences, support scalability, and collaborate with other engineering teams to drive innovation.

Lead the Luna data team as a technical practice lead, focusing on migrating data from Redshift to AWS RDS while mentoring team members in Python and DataOps practices.

The Senior Software Engineer II will design and implement generative AI services, drive architectural standards, mentor engineers, and collaborate across teams to enhance data solutions.

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.

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