Top Data Engineer Jobs in Edinburgh

The Data Engineer will design and build a data warehouse, optimize ETL/ELT processes, enhance Power BI reports, and train the internal team.

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

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.

As a Senior Data Engineer, you'll design and maintain cloud-native data pipelines, automate workflows, and collaborate on data solutions for clients.

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.

As a Senior Data Engineer, you will deliver complex projects, lead teams, mentor junior engineers, and support customer relationships using Databricks and cloud platforms.

Lead the technical design of data infrastructure, implementing scalable and secure data pipelines while collaborating with engineering and product teams.

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

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

The Sr Data Engineer will enhance the DoiT Cloud Intelligence product, optimize big data warehouses, and collaborate with cross-functional teams to improve data models and systems.

As a Sr Data Engineer, you will improve data warehouse performance, collaborate on data models, and design monitoring tools.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.