Top Data Jobs in Edinburgh

The role involves managing data implementation projects, client engagement, requirements collection, and technical analysis for investment data solutions at BlackRock.

Lead AI/ML research initiatives in cybersecurity, develop novel machine learning models, analyze datasets, and translate research into deployable solutions.

As an Associate, you will manage data quality initiatives, collaborate with stakeholders, perform data analysis, and assist in implementing data ownership programs within CIB Markets.

The Senior Director Analyst delivers insights to government IT executives, focuses on research and advisory roles, and improves technology use in government modernization.

The Staff Data Engineer will lead the design and implementation of critical data infrastructure, collaborating with teams to build scalable, efficient systems and improve data quality and observable practices.

The role involves leading Subsurface analytics, fostering relationships with clients, and delivering AI-driven solutions in the energy sector.

Analyze products to provide strategic recommendations, design experiments for product improvements, and maintain data infrastructure for analyses.

The Senior Data Engineer will develop a centralized data model for reporting and insights, improving data quality, and mentoring junior team members.

The Data Owner manages enterprise master datasets, collaborates with teams on data structure, designs data models, and ensures data quality and utility.

The Analyst creates impactful Gartner research on AI and ML, advising clients and supporting sales teams through analysis and presentations.

The Lead Data Architect will shape data strategy, mentor teams, and design secure data architectures on AWS for high-profile projects.

The Data Analyst will manage and analyze large datasets to enhance forecasting and modelling efforts, focusing on automating workflows and ensuring data quality while collaborating with various teams.

The Senior Product Data Analyst will transform raw data into insights, build data workflows, and evaluate product metrics to drive strategic decisions.

Lead the design and delivery of ETL/ELT pipelines, focusing on data quality, and drive technical leadership in data engineering. Collaborate with teams to align data solutions with business needs and oversee the optimization of AWS data infrastructure.

As a Data Engineer, you will design and maintain data systems, develop complex Spark jobs, and collaborate with technical teams to optimize data processing and drive engineering excellence.

The Business Analyst (Data Steward) manages data quality and governance for transportation datasets, collaborating with stakeholders to ensure effective data usage and compliance.

The Senior Data Engineer will manage the data platform, support product development, and handle complex data systems. Key skills include Python, SQL, and cloud infrastructure management.

Lead design and development of data architecture and pipelines using Snowflake. Ensure data quality and mentor junior engineers while optimizing data flow and performance.

As a Senior Data Engineer, you will leverage Google Cloud and your expertise in data engineering to assist clients with their data transformation and modernization by implementing solutions in ETL/ELT, data warehousing, and streaming architectures.

Data Architects at Ascent design and optimize cloud-based data platforms, lead implementations, collaborate with stakeholders, and ensure data governance and best practices.

The Food & Nutrition Data Architect will design data solutions, collaborate with teams, and lead initiatives to improve data architecture and analytics for better business outcomes.

As a Data Engineer at SUSE, you will enhance the Data Strategy by developing data architecture, optimizing solutions, and mentoring junior developers.

As a Data Engineer, you will optimize and scale data pipelines, implement dbt best practices, and create self-service tools for cross-functional teams.

As a Senior Full Stack Data Scientist, you will develop forecasting algorithms, collaborate with diverse teams, and drive innovation in inventory decision-making systems for the apparel industry.

As a Senior Full Stack Data Scientist, you will lead the development of forecasting algorithms, collaborate on innovative projects, and contribute to a greenfield machine-learning startup focused on inventory management.