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5 of 5 Remote Amazon Redshift Jobs in East Yorkshire
kingston upon hull, east yorkshire, yorkshire and the humber, united kingdom
Hybrid / WFH Options The Citation Group
not? We’ll help you get there: Understanding of cloud computing security concepts Experience in relational cloud-based database technologies like Snowflake, BigQuery or Redshift Experience in open-source technologies like Spark, Kafka, Beam understanding of Cloud tools such as AWS, Microsoft Azure or Google Cloud Familiarity with DBT More ❯
kingston upon hull, east yorkshire, yorkshire and the humber, United Kingdom
Hybrid / WFH Options Trust In SODA
ideal candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Cloud (AWS, GCP, Azure) Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they More ❯
kingston upon hull, east yorkshire, yorkshire and the humber, United Kingdom
Hybrid / WFH Options Trust In SODA
assist with the continued scaling and optimisation of these. Their ideal candidate would have good knowledge within: Cloud (AWS, GCP, Azure) Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Consulting/Client Facing Experience In return they would be offering Free More ❯
kingston upon hull, east yorkshire, yorkshire and the humber, United Kingdom
Hybrid / WFH Options Mindteck
environment is a strong advantage. Preferred Skills (Nice to Have) Data literacy (e.g., SQL, Tableau, Power BI, R, Smartsheet, Adobe Analytics, Google Analytics, AWS Redshift/Timestream). Experience in production engineering. Knowledge of SaaS tools, endpoint management, identity governance, or content management systems More ❯
kingston upon hull, east yorkshire, yorkshire and the humber, United Kingdom
Hybrid / WFH Options Aspia Space
our large-scale AI models. Key Responsibilities: • Architect, design, and manage scalable data pipelines and infrastructure across on-premise and cloud environments (AWS S3, Redshift, Glue, Step Functions). • Ingest, clean, wrangle, and preprocess large, diverse, and often messy datasets—including structured, unstructured, and geospatial data. • Collaborate with ML … architecture, or similar roles. • Expert proficiency in Python, including popular data libraries (Pandas, PySpark, NumPy, etc.). • Strong experience with AWS services—specifically S3, Redshift, Glue (Athena a plus). • Solid understanding of applied statistics. • Hands-on experience with large-scale datasets and distributed systems. • Experience working across hybrid More ❯
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