Top Data Engineer Jobs in Edinburgh

Design and build scalable and secure data engineering solutions using Databricks on Azure. Engage with clients to understand their needs and implement CI/CD processes, while adhering to best practices in software engineering.

Build and maintain cloud-based data pipelines and analytical tooling for crypto market surveillance. Perform systematic and ad-hoc analysis to detect market abuse, support investigations, publish crypto disclosures, and enhance surveillance platforms using big-data, visualization, and blockchain analytics tools.

Develop, deploy and maintain ETL pipelines to gather, validate and transform data from APIs and web sources. Work with the data engineering team to run and improve pipelines on a Dagster/BigQuery platform, ensure best coding practices, document workflows, and help maintain high data quality for clean energy datasets.

The Cyber Security Data Operations Engineer will develop and manage data analytics applications, design solutions, and ensure effective documentation and user support for cyber security data processes.

The Data Engineer will manage the end-to-end lifecycle of data pipelines, architect data solutions, liaise with clients, and ensure performance monitoring. Responsibilities include defining specifications for ETL processes, deploying Azure Data Factory pipelines, and collaborating with engineering teams on data integrity and reliability.

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 role involves developing and maintaining the Enterprise Data Warehouse, optimizing queries, and supporting data analysis and business intelligence activities.

The Data Engineer will build and maintain data infrastructure, optimize performance pipelines, and ensure efficient data ingestion and querying for analysis within a high-performance AI media platform.

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 optimise scalable data pipelines and Lakehouse layers (Bronze/Silver/Gold) in Microsoft Fabric using SQL and PySpark. Integrate ERP/CRM/APIs, ensure data quality/governance, support Power BI semantic models, monitor and troubleshoot pipelines, and collaborate with stakeholders for analytics and reporting.

As a Data Engineer, you will build and maintain data systems for drug safety AI tools, ensuring reliable data processing and storage for research teams.

The Principal Data Engineer will design and build large-scale backend services and data pipelines, lead architectural decisions, and mentor engineers. This role requires deep technical expertise in building distributed systems and ensuring system reliability and performance optimization.

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 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.

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

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

The Data Engineer will build and scale data pipelines, ensure data quality, implement dbt best practices, and empower cross-functional teams with self-service data access.

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.

As a Senior Mechanical Engineer, you will lead designs for mechanical systems in data centers, manage projects, and ensure excellent client service.

Triage and resolve Master Data Management (Party, Risk, Reference) issues in Stibo STEP, run targeted data-cleansing sprints, monitor data quality dashboards, support releases/UAT, and maintain documentation and playbooks to prevent recurring data issues.

The Data Visualization Developer will create and support dashboards in Power BI, develop SQL scripts, perform regression testing, and troubleshoot existing scripts.

The Senior Site Reliability Engineer will design and maintain a reliable data platform, develop data pipelines, automate processes, and ensure system observability while collaborating across teams.

The Senior Data Analytics Engineer will develop automated reporting solutions, analyze data across business functions, and enhance data quality. Collaboration with internal teams to drive self-service analytics and establish reporting standards is essential.

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.