3 of 3 Remote/Hybrid Data Engineer Jobs in Glasgow

AWS Cloud Data Engineer

Hiring Organisation
Capgemini
Location
Glasgow, UK
About the Job you are considering: An AWS Cloud Data Engineer designs, builds, and maintains scalable data architectures and pipelines using Amazon Web Services. Their primary goal is to ensure large volumes of structured and unstructured data are securely ingested, transformed, and stored so data … client sites, and your home; noting that you will be unable to work at home 100% of the time. Your Role: Build and maintain data models using dbt. Write complex SQL transformations to clean and structure data. Develop modular, reusable data pipelines. Implement data testing and validation ...

AWS Cloud Data Engineer

Hiring Organisation
Capgemini
Location
Glasgow, Scotland, United Kingdom
About the Job you are considering: An AWS Cloud Data Engineer designs, builds, and maintains scalable data architectures and pipelines using Amazon Web Services. Their primary goal is to ensure large volumes of structured and unstructured data are securely ingested, transformed, and stored so data … client sites, and your home; noting that you will be unable to work at home 100% of the time. Your Role: Build and maintain data models using dbt. Write complex SQL transformations to clean and structure data. Develop modular, reusable data pipelines. Implement data testing and validation ...

Senior Data Engineer (Snowflake)

Hiring Organisation
Harnham - Data & Analytics Recruitment
Location
Glasgow, Lanarkshire, Scotland, United Kingdom
Employment Type
Full-Time
Salary
£55,000 - £70,000 per annum
Senior Data Engineer up to £70,000 + BENEFITS Fully Remote (UK) This is a great opportunity to join a high-growth organisation where you can take ownership of end-to-end data engineering delivery across modern cloud platforms and greenfield projects. THE ROLE: You will take … ownership of delivering end-to-end data engineering solutions, working across greenfield projects from initial design through to deployment and optimisation. Key responsibilities include: Designing data solutions from source systems Building and maintaining data ingestion pipelines Developing transformations and data models Orchestrating workflows and deploying environments ...