Top Data Engineer Jobs in Edinburgh

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.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

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 Principal Data Engineer designs and builds large-scale backend services and data pipelines, leading technical initiatives and mentoring junior engineers.

The Data Engineer will architect and maintain the data infrastructure, focusing on high-volume logs and performance pipelines to support observability and analytics for various teams.

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.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

The Data Engineer will design, build, and support secure data solutions for public-sector clients using Python and SQL on AWS. Responsibilities include collaborating with teams, ensuring compliance with public-sector standards, and optimizing existing workflows.

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

As a Data Engineer, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

Lead ingestion and configuration of clinical trial data using tools like CDB/Illuminate. Manage data imports/exports, JSON manifests, and data mappings. Support data configuration workflows, work with SDTM structures, and collaborate with Data Engineering and stakeholders to deliver independent projects.

The Data Engineer will design and deploy data pipelines, collaborate with different teams, and manage data quality and governance for optimal performance.

As a Staff Data Engineer, you'll architect and build data pipelines, champion small data strategies, mentor teams, and ensure operational excellence in data workflows.

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

Design and implement data pipelines, manage access controls in Snowflake, and ensure compliance through automation. Collaborate with cross-functional teams to optimize data workflows.

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

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

As a Senior Software Engineer, you'll maintain critical parts of ClickHouse's Data engineering ecosystem, focusing on JVM-based frameworks and ensuring high-performance integrations for real-time analytics and data workloads.

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 Staff/Lead Fullstack Engineer will enhance the Mimica Webapp by architecting scalable UI components, managing large datasets, and optimizing performance while collaborating with cross-functional teams.

The Staff Data Engineer will own project lifecycles, drive technical decisions, mentor engineers, and implement AI solutions for impactful insights.

The Senior Data Engineer will own and architect the telemetry ecosystem, ensuring data quality and collaborating with product teams to drive insights.