Top Data Jobs in Edinburgh

The Technical Design Lead will manage multi-disciplinary teams, oversee data centre project phases from design to construction, maintain client relationships, and ensure project delivery in compliance with standards.

As a Palantir Data Consultant, you will analyze business needs for data solutions, facilitate workshops, and manage stakeholder engagement, ensuring delivery in agile environments.

Manage post-sales customer relationships, ensure successful installations and upgrades, advocate for customer needs, and lead review meetings and support efforts.

The Senior Research Data Analyst conducts statistical analyses in health outcomes research, develops analysis plans, and supports study operations, including protocol development and literature reviews.

Drive value through data engineering by leading data migrations, designing data solutions, coaching junior engineers, and ensuring compliance with data privacy standards.

As a Platform Data Analyst, you'll monitor performance, build analytics dashboards, and ensure reliable data pipelines for the Runware platform.

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 Director of Strategic Partnerships is responsible for developing and managing strategic partnerships with ISV and OEMs, driving joint initiatives, and collaborating across Actian teams to enhance partnership strategies. The role requires deep domain expertise in data management and technical acumen along with strong communication and leadership skills.

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.

As a Data Scientist focusing on alternative data, you will analyze complex datasets, apply statistical and machine learning techniques, and develop tools for investment strategies.

Lead technical delivery and architecture for customer implementations, produce technical specifications and project plans, advise on integrations and scalability, train and mentor junior consultants, drive process improvements and product roadmap input, and travel occasionally to customer sites.

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.

Own the validation lifecycle: translate data quality requirements into clear deterministic rule specifications, maintain the validation catalogue, monitor and tune controls, perform first-pass anomaly detection and RCA support, and collaborate with Product, Technology, and Data Owners to ensure scalable, testable, and maintainable data quality controls.

The Data Manager will oversee clinical trial data management, collaborating on trial design, setup, delivery, and product development to ensure quality outcomes.

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 an AI Data Collector, you will capture high-quality images in various real-world environments to assist in AI system development.

The Data Standards Lead will develop and govern data standards for licensing, ensure data interoperability, and guide teams in applying these standards.

As a Principal Data Engineer, you will design and build large-scale backend services and data pipelines, lead architectural decisions, reduce technical debt, and mentor junior engineers.

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

Lead and manage the AI & Data Science function, set technical strategy, deliver AI solutions, collaborate across teams, and communicate impact to stakeholders.

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

The Data Science Manager will lead a team of data scientists to develop machine learning models for credit-related solutions and promote collaborative, data-driven insights across Kuda.

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.

The Data Solution Architect will lead multiple teams to design and deliver data solutions, manage employee performance, and contribute to technical design and pre-sales processes.