Top Data Jobs in Edinburgh

Design and maintain scalable data pipelines, migrate data from Postgres to Clickhouse, and develop DBT models for reliable decision-making.

The Data Engineer will establish and scale data pipelines, implement dbt best practices, and build self-service tools for teams.

Lead development of forecasting algorithms, collaborate on greenfield projects, and enhance forecast accuracy using customer data signals in a dynamic team environment.

The Senior Full Stack Data Scientist will develop forecasting algorithms, collaborate with teams to enhance accuracy and build predictive software in a startup environment.

The Senior Data Engineer will lead data migration, optimize data pipelines, and integrate advanced analytics for veterinary software, focusing on AWS and AI initiatives.

As a Senior Analytics Engineer, design and implement data governance and RBAC in Snowflake, optimize SQL queries, and enhance data systems while mentoring team members.

The Senior Data Engineer will develop and maintain data pipelines, optimize data architecture, and ensure data compliance and quality for advanced analytics.

Collaborate on AI/ML model development, analyze physiological data, design experiments, communicate insights, and improve user engagement for fitness applications.

The Data Scientist will analyze sales and marketing data to develop models, provide insights, and guide growth strategies, directly reporting to the CFO.

The Senior Data Engineer will focus on ingesting and curating satellite imagery and geospatial data, building data pipelines, and mentoring junior engineers, while ensuring performance and scalability.

The Senior Data Scientist will design algorithms, analyze data, develop AI models, and collaborate on innovative AI solutions for the shipping sector.

As a Senior Data Scientist, you'll develop algorithms detecting driving patterns from telematics data, building scalable features and insights into production.

Lead the development of telematics features using mobile sensor data, guide architectural decisions, mentor team members, and ensure high-quality scalable solutions.

The Data Engineer will design and support data warehouses, create analytics dashboards, perform data quality analysis, and identify process improvements. Responsibilities include collaborating with stakeholders to develop insights and ensure data governance.

Develop and improve machine learning and statistical models for sports betting products, collaborating with teams to enhance performance and deploy models.

The Data Manager will oversee clinical trial data management, collaborating on trial design, setup, delivery, and product development to ensure quality outcomes.

As a Senior Data Engineer, you will enhance the online car market by optimizing data processes, building data platforms, and leading initiatives.

Design and deliver company-wide data platform and strategy, managing AWS and Snowflake environments, and ensuring data governance.

Responsible for designing and delivering the company's data platform and strategy, managing data infrastructure, and ensuring data governance.

The Director Analyst will lead research in Master Data Management, providing insights and strategic advice to clients and developing high-quality research content.

The Data Scientist will lead complex data science projects, design analytical solutions using AI, and effectively communicate data-driven insights to stakeholders.

The Data Engineer will build and maintain data pipelines, architecture, and CI/CD infrastructure, collaborate with stakeholders, and support AI components to enhance data management capabilities.

The Senior Data Scientist will design technical solutions, develop machine learning models, and collaborate with stakeholders to drive data-informed decisions in the electric car leasing sector.

As a Data Analyst, you will drive analytics for customer success, answer data-related queries, and maintain data pipelines with Python and SQL.

Seeking a Lead Data Strategist to drive Data & AI transformation, build customer relationships, and support strategic sales opportunities while collaborating with partners and influencing product direction.