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.

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 Sales Lead drives revenue growth through strategic account development in Energy, Financial Services, and Public Sector, leading a sales team and shaping transformation offerings.

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 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.

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.

The Fraud Analyst role focuses on investigating fraud cases, collaborating with teams to improve fraud detection, and refining operational processes while ensuring data quality and participant experience.

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

The VP Growth will lead initiatives to acquire new business, manage a sales team, enhance customer relationships, and drive revenue growth in the EMEA region.

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.

The Complaints Specialist will handle insurance complaints, improve processes, coach team members, and report on performance metrics while owning their specialist function.

Manage data and information governance, conduct analysis on operational performance, and present insights to stakeholders to improve business operations.

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.

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

The Head of Audit will lead audits related to change, data, AI, and privacy risks, providing assurance and strategy while influencing executive decisions.

The Head of Data leads data strategy execution, technical authority in Data & AI, client engagement, and capability development to ensure impactful outcomes and revenue growth.

As a Senior Mechanical Engineer, you will lead designs for mechanical systems in data centers, manage projects, and ensure excellent client service.

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

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.

The Data Engineer Lead will oversee a team of Senior Data Engineers, shape engineering standards, and deliver high-quality data solutions using Azure technologies.