Top Data Jobs in Edinburgh

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.

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.

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

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.

Manage operational support for data platforms, resolve ETL/ELT issues, enhance monitoring, and mentor analysts in best practices.

The Data Analyst role involves building product dashboards, collaborating with data engineers, and designing metrics to translate learner data into insights for customers.

The Principal Product Specialist will drive sales strategy, manage Proof of Concept processes, and facilitate customer engagement for DSPM solutions across EMEA, ensuring product evolution based on customer feedback.

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.

The Associate will support the Fund Data Stewardship Team by managing data workflows, enhancing relationships, and ensuring data governance for fund distribution. Responsibilities include data engineering solutions, internal query management, and partnering with stakeholders for effective data change management.

Assist in protecting corporate information as part of the Cyber Data Protection Engineering team, focusing on DLP rules, policies, and workflows.

The Fintech Operations Director will oversee payment operations, fraud prevention, and compliance, leading a team to scale and improve processes in a high-growth environment.

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.

Lead Andela Academy, scaling enterprise learning solutions in AI and Cloud. Build relationships, oversee team delivery, and drive revenue growth with high client satisfaction.

As the Data & Adoption Lead, you will manage the adoption of Data & AI initiatives, conduct change assessments, and design training plans for various audiences.

The Senior Finance Data Architect will lead the development of finance data architectures, governance, integration, and reporting solutions while influencing enterprise-wide data strategy.

As a Lead Data Scientist, you will manage complex AI and ML projects, leading from design to deployment while ensuring delivery meets business outcomes and compliance standards. You will provide technical leadership and mentoring to the team.

The role focuses on improving data utilization in manufacturing by standardizing metrics, automating processes, and translating data into actionable insights. It involves working closely with stakeholders to enhance decision-making and create a data-driven culture.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

Lead a team of data engineers, drive engineering excellence, build AI-ready data platforms, and collaborate across teams to solve impactful problems.

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.

As an Engineering Manager, oversee data engineering and analytics projects, while leading teams focused on data platforms and governance. Foster collaboration and ensure operational compliance.

The Principal Software Engineer will enhance product features, mentor team members, and handle a variety of technical challenges within the engineering team, focusing on quality and performance.