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.

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 manage data connections, validate and normalize external portfolio data, automate monitoring and reporting, implement transformations, mine feeds to improve auto-reconciliation, support Operations and Development, and communicate technical processes to non-technical stakeholders while participating in light on-call duties.

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

Build and maintain high-performance pipelines to transform trading and position data into analysis-ready datasets; develop interactive dashboards and web apps (Tableau/self-service tools); support market abuse, policy and supervisory analysis across asset classes; help shape how data is used to monitor and supervise firms and markets.

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.

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 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.

Build and improve data pipelines that ingest, normalize, and distribute European power market data. Enhance APIs, monitoring, alerting, and performance; collaborate with data scientists and market experts to expand coverage and develop new product features.

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 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.

Design, build, and maintain scalable data pipelines and models (ingestion, modelling, orchestration). Ensure data quality via testing and monitoring, participate in code reviews, shape data architecture, and enable analytics/BI across the organisation.

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

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.

As a Senior Data Engineer, you will design and develop large-scale data processing solutions and lead technical components in agile teams.

Lead Data Engineers will build data platforms, create data lakes and warehouses, and transform data into integrated models while leading teams and advising clients.

The Senior Data Engineer will lead teams in building data platforms and pipelines for clients, focusing on data integration and analytics solutions using various technologies.

The Software Engineer will develop data pipelines, manage cloud infrastructure, and collaborate with AI scientists to enhance data acquisition for model training.