Top Data Jobs in Edinburgh

Lead enterprise data architecture and cloud transformation for Wealth & Asset Management clients. Define data strategies, design canonical WAM data models, build cloud-native platforms (AWS/Azure/GCP), integrate core WAM systems, establish data quality and governance, drive master/reference data strategies, and present technical solutions to senior stakeholders.

Lead Data Operations, ensuring high-quality data delivery and operational excellence. Manage data pipelines and enhance data quality through automation and engineering.

As a Product Marketing Manager, you will transform complex product features into clear customer value, own messaging, run product launches, and improve GTM strategies using AI and data.

The Sales Manager will develop relationships with healthcare customers, focusing on selling data platform solutions, managing sales processes, and leveraging existing relationships for new opportunities.

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

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 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.

This role involves managing data implementation projects, engaging with clients, coordinating data workflows, and ensuring successful delivery of data solutions.

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

Lead the strategic direction and roadmap of Samsara's Reporting Platform, enhancing data analysis through AI/ML, and managing customer relationships and complex technical initiatives.

Lead research and engineering for GenAI applied to cybersecurity: define model architectures and training, build production-scale AI systems, mentor scientists, set technical standards, and represent CrowdStrike in publications and talks.

Lead and architect AI research for cybersecurity, recruit and mentor data science teams, design and deploy LLM and deep learning systems to production at scale, set technical strategy and represent CrowdStrike in research and thought leadership.

The Product Manager will lead Geolocation initiatives, define product strategy, manage performance, collaborate with engineering, and motivate teams to deliver successful and innovative products.

The Sales Manager will oversee selling data platforms to healthcare customers, managing relationships, and developing sales opportunities across the UK.

Lead onboarding of large, complex clients by modeling securities, importing and validating holdings and transactions, automating reconciliations, and collaborating across teams to streamline scalable, repeatable data migration processes.

The Key Account Director will foster relationships with a strategic enterprise client, driving growth and managing multiple projects while ensuring effective account management.

As an Account Executive, you'll manage the sales pipeline, engage senior stakeholders in financial institutions, and drive complex sales cycles from outreach to contract execution.

Lead and deliver complex data architecture initiatives, define strategy, design architecture, and build scalable cloud-based platforms for clients.

As a Data Specialist, you will handle customer data including migration, analysis, and updates while liaising with stakeholders and ensuring data integrity.

The Principal Product Manager - Loyalty at Skyscanner will lead the loyalty strategy, enhance traveler engagement, and ensure smooth project execution across teams.

The VP Sales will drive growth by actively seeking new clients, managing a sales team, and ensuring successful delivery of solutions while maintaining strong customer relationships.

Lead a team of data engineers, overseeing data product development, guiding technical solutions, and collaborating with cross-functional teams to enhance data systems.

Design and implement clinical systems for trials, enhance processes, ensure compliance with standards, and lead collaboration on system improvements.

The Principal Data Analyst will lead the analysis of product usage data to support decision-making, optimize analytics applications, and manage a team of data analysts while collaborating with stakeholders.

Design and manage data infrastructure with a focus on Snowflake, data modeling, and engineering. Lead data architecture and governance, ensuring quality for AI applications and analytics.