Top Data Jobs in Edinburgh

The Finance Systems Data Analyst supports the Finance organization by ensuring data accuracy across SAP and Snowflake, optimizes data flows, automates reporting, and enhances financial decision-making.

The Finance Systems Data Analyst ensures accuracy and accessibility of financial data across SAP and Snowflake, optimizing data flows and reporting.

Design, develop and execute ETL/merge solutions to migrate local government data into NEC systems. Perform data profiling, modelling and quality checks; write and optimise SQL/PLSQL (Oracle) scripts; engage stakeholders and support test migrations, reconciliation and documentation.

Lead people-data analytics and automation: build Tableau dashboards, use AI tools to solve problems and generate code, automate repetitive HR tasks, beta-test new software, ensure clean data pipelines, and partner with HR leaders to turn workforce data into strategic insights.

Lead multi-market analytics strategy, standardise data frameworks, build scalable data infrastructure, partner with country and central teams, deliver actionable market insights, and hire and develop a high-performing analytics team to drive commercial performance.

Lead ownership of private markets data model and architecture, manage integration/connector inventories, design data migration and integration frameworks, advise clients and support sales, and bridge advisory and technical delivery teams to enable BI and enterprise performance solutions.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

The Data Scientist will analyze data, build and refine machine learning models, document technical designs, and collaborate with multidisciplinary teams to deliver AI solutions.

Lead high-complexity analytics projects: partner with stakeholders, prepare and blend large datasets, apply intermediate statistics, build models and visualizations, deliver insights, and mentor junior analysts.

As a Lead Product Data Scientist, you'll set the data science direction, lead product experimentation, drive product strategy through metrics, and mentor analysts in a fast-moving environment.

The Data Engineer will develop data infrastructure, build data pipelines, implement workflows, and collaborate with teams to enhance data analytics capabilities.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

The Senior Data Engineer will enhance backend systems for a social media app by managing databases, optimizing recommendation algorithms, and ensuring accurate recommendations.

The Data Engineer will design and maintain scalable data pipelines, optimize data infrastructure, monitor data quality, and enable analytics capabilities, ensuring alignment with business goals.

As a Backend Engineer (Data Engineering), design and build scalable data pipelines and infrastructure for processing security data, ensuring reliability and performance.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

As a Curriculum Manager, you will manage content development for the data science and engineering curriculum, collaborating with instructors and teams to enhance learning experiences.

Manage curriculum development for data science and engineering, collaborate with instructors, create content, and drive improvements based on learner feedback.

The Senior Manager RBQM Data Analyst oversees centralized monitoring activities for clinical trials, utilizing data analysis tools to assess risks and operational performance, while leading process improvements and training junior staff.

Design, build, and maintain a trusted semantic layer and reusable data models (dimensions, facts, metrics). Translate business logic into clear data specs, improve model reliability with testing and lineage, drive adoption across teams, standardize modelling conventions, and enable self-serve analytics for product, GTM, and finance stakeholders.

Design and implement core YTsaurus functionality in C++, build and evolve platform-level capabilities, improve APIs and UX for internal users, own production quality including incident response/on-call, and collaborate with stakeholders to prioritize and deliver scalable data platform features.

Design, build, and own scalable ETL/ELT data pipelines (Snowflake, Dagster, dbt). Migrate legacy Django/Celery pipelines, ensure data quality, observability, and collaborate with Product, Analytics, and Data Science.

Manage and maintain Insikt Group's custom threat data collection infrastructure. Develop and contribute to projects, provision servers and networks, monitor performance, and deliver analyst-enabling workflows and documentation.