26 to 50 of 191 ETL Jobs in the South West

helping make it better. Must have — strong practical experience in most of: Python for data workflows and automation Advanced SQL (optimisation, analytical functions, modelling) ETL/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus points for: Airflow, Prefect ...

helping make it better. Must have — strong practical experience in most of: Python for data workflows and automation Advanced SQL (optimisation, analytical functions, modelling) ETL/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus points for: Airflow, Prefect ...

helping make it better. Must have — strong practical experience in most of: Python for data workflows and automation Advanced SQL (optimisation, analytical functions, modelling) ETL/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus points for: Airflow, Prefect ...

Doing Designing and building a greenfield data architecture from scratch Creating scalable data pipelines for large, text-heavy and unstructured datasets Building ETL/ELT workflows that produce AI-ready datasets Implementing dataset versioning, reproducibility and data lifecycle management Supporting AI teams with training, validation and test data splits Embedding ...

Doing Designing and building a greenfield data architecture from scratch Creating scalable data pipelines for large, text-heavy and unstructured datasets Building ETL/ELT workflows that produce AI-ready datasets Implementing dataset versioning, reproducibility and data lifecycle management Supporting AI teams with training, validation and test data splits Embedding ...

Doing Designing and building a greenfield data architecture from scratch Creating scalable data pipelines for large, text-heavy and unstructured datasets Building ETL/ELT workflows that produce AI-ready datasets Implementing dataset versioning, reproducibility and data lifecycle management Supporting AI teams with training, validation and test data splits Embedding ...

Doing Designing and building a greenfield data architecture from scratch Creating scalable data pipelines for large, text-heavy and unstructured datasets Building ETL/ELT workflows that produce AI-ready datasets Implementing dataset versioning, reproducibility and data lifecycle management Supporting AI teams with training, validation and test data splits Embedding ...

Doing Designing and building a greenfield data architecture from scratch Creating scalable data pipelines for large, text-heavy and unstructured datasets Building ETL/ELT workflows that produce AI-ready datasets Implementing dataset versioning, reproducibility and data lifecycle management Supporting AI teams with training, validation and test data splits Embedding ...

Doing Designing and building a greenfield data architecture from scratch Creating scalable data pipelines for large, text-heavy and unstructured datasets Building ETL/ELT workflows that produce AI-ready datasets Implementing dataset versioning, reproducibility and data lifecycle management Supporting AI teams with training, validation and test data splits Embedding ...

Doing Designing and building a greenfield data architecture from scratch Creating scalable data pipelines for large, text-heavy and unstructured datasets Building ETL/ELT workflows that produce AI-ready datasets Implementing dataset versioning, reproducibility and data lifecycle management Supporting AI teams with training, validation and test data splits Embedding ...

conscience of the programme - reviewing architecture, data models, pipelines, and design decisions Support development of data pipelines, Fabric workloads, and Power BI integration Validate ETL/ELT processes, migrated datasets, and performance optimisation approaches Ensure data governance, security, privacy, and quality standards are embedded from day one Confidently challenge vendors ...

conscience of the programme - reviewing architecture, data models, pipelines, and design decisions Support development of data pipelines, Fabric workloads, and Power BI integration Validate ETL/ELT processes, migrated datasets, and performance optimisation approaches Ensure data governance, security, privacy, and quality standards are embedded from day one Confidently challenge vendors ...

conscience of the programme - reviewing architecture, data models, pipelines, and design decisions Support development of data pipelines, Fabric workloads, and Power BI integration Validate ETL/ELT processes, migrated datasets, and performance optimisation approaches Ensure data governance, security, privacy, and quality standards are embedded from day one Confidently challenge vendors ...

conscience of the programme - reviewing architecture, data models, pipelines, and design decisions Support development of data pipelines, Fabric workloads, and Power BI integration Validate ETL/ELT processes, migrated datasets, and performance optimisation approaches Ensure data governance, security, privacy, and quality standards are embedded from day one Confidently challenge vendors ...

conscience of the programme - reviewing architecture, data models, pipelines, and design decisions Support development of data pipelines, Fabric workloads, and Power BI integration Validate ETL/ELT processes, migrated datasets, and performance optimisation approaches Ensure data governance, security, privacy, and quality standards are embedded from day one Confidently challenge vendors ...

conscience of the programme - reviewing architecture, data models, pipelines, and design decisions Support development of data pipelines, Fabric workloads, and Power BI integration Validate ETL/ELT processes, migrated datasets, and performance optimisation approaches Ensure data governance, security, privacy, and quality standards are embedded from day one Confidently challenge vendors ...

Python for data engineering tasks hands-on experience with cloud platforms – AWS or GCP is essential, both would be highly beneficial Deep understanding of ETL/ELT processes and data pipeline development Strong problem-solving skills and the ability to work independently in remote settings Excellent communication skills and ...

Python for data engineering tasks hands-on experience with cloud platforms – AWS or GCP is essential, both would be highly beneficial Deep understanding of ETL/ELT processes and data pipeline development Strong problem-solving skills and the ability to work independently in remote settings Excellent communication skills and ...

Python for data engineering tasks hands-on experience with cloud platforms – AWS or GCP is essential, both would be highly beneficial Deep understanding of ETL/ELT processes and data pipeline development Strong problem-solving skills and the ability to work independently in remote settings Excellent communication skills and ...

Python for data engineering tasks hands-on experience with cloud platforms – AWS or GCP is essential, both would be highly beneficial Deep understanding of ETL/ELT processes and data pipeline development Strong problem-solving skills and the ability to work independently in remote settings Excellent communication skills and ...

Python for data engineering tasks hands-on experience with cloud platforms – AWS or GCP is essential, both would be highly beneficial Deep understanding of ETL/ELT processes and data pipeline development Strong problem-solving skills and the ability to work independently in remote settings Excellent communication skills and ...

Python for data engineering tasks hands-on experience with cloud platforms – AWS or GCP is essential, both would be highly beneficial Deep understanding of ETL/ELT processes and data pipeline development Strong problem-solving skills and the ability to work independently in remote settings Excellent communication skills and ...

Python for data engineering tasks hands-on experience with cloud platforms – AWS or GCP is essential, both would be highly beneficial Deep understanding of ETL/ELT processes and data pipeline development Strong problem-solving skills and the ability to work independently in remote settings Excellent communication skills and ...

deliver reports, insights, and maintain robust data systems. Key Responsibilities: Design, develop and maintain SQL queries and scripts for data extraction, transformation, and loading (ETL). Manage and optimise data warehousing solutions to maintain data integrity and performance. Analyse large datasets to identify trends, patterns, and actionable insights. Collaborate with ...

Information Technology/Systems/Sciences/Maths 3+ years of experience in business intelligence, data warehousing, data management and data delivery, database and ETL technologies. Experience using languages/tools/databases such as SQL and NoSQL, Python, Docker. Strong technical experience in designing and delivering data ...