Top Data Jobs in Edinburgh

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

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

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.

Design and build scalable and secure data engineering solutions using Databricks on Azure. Engage with clients to understand their needs and implement CI/CD processes, while adhering to best practices in software engineering.

Lead data architecture engagements for financial services clients, defining enterprise data strategy, designing cloud-native data platforms on AWS/Azure/GCP, integrating governance and metadata capabilities, guiding migrations, and advising stakeholders on scalable, secure modern data architectures.

Lead design and delivery of conceptual, logical, and physical data models for financial services clients; define data requirements, map source-to-target, support data migrations, enforce governance, and use modelling tools to curate metadata-aligned models.

As a Payroll Operations Specialist, you will prepare payroll inputs, manage data integrity, support statutory data preparation, and collaborate on compliance issues.

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 clinical trial disclosure strategy and operations for Pfizer-sponsored interventional trials. Ensure timely, compliant posting of protocols, SAPs, CSRs, and clinical summaries per EMA Policy 70 and other regulations. Manage vendors, develop processes and technical solutions, represent Medical Writing on governance committees, and maintain regulatory knowledge and best practices to drive quality and consistency across disclosures.

The Cyber Security Data Operations Engineer will develop and manage data analytics applications, design solutions, and ensure effective documentation and user support for cyber security data processes.

The Business Architect will shape business processes and capabilities by leveraging data, analytics, and AI to enhance transformation initiatives across the organization.

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.

As the Director of Data Science, you'll mentor teams, oversee projects, drive data-driven decisions, and implement AI and ML solutions while enhancing our data pipeline.

The Data & AI Portfolio Lead drives the development and integration of Fujitsu's Data & AI portfolio in the UK, aligning with strategic objectives and managing offerings throughout their lifecycle while providing leadership to product managers.

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 Senior Data Scientist will develop machine learning models for credit scoring and pricing optimization to enhance financial access for underserved customers across multiple African markets.

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.

Advance analytics and ML solutions for a global pharma client: develop, implement and monitor models; build data models and BI analyses (Spotfire); liaise with stakeholders; improve provisioning and inspection-ready documentation; apply statistical methods to solve business use cases.

Define and implement scalable, secure data architectures aligned to business needs. Lead discovery sessions, design data models, pipelines, and ingestion/metadata strategies. Ensure governance, quality, non-functional requirements, and documentation. Collaborate with stakeholders and support batch and real-time implementations.

Lead a team managing investment data quality and controls for Asset Management. Drive improvement of static, reference, market and pricing data, rollout platforms (Aladdin, Snowflake, Marketplace), monitor KPIs, manage stakeholders, oversee recruitment and training, and deliver risk and control remediation during transitions and strategic change.

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