Leeds, England, United Kingdom Hybrid / WFH Options
BJSS
of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems more »
York, England, United Kingdom Hybrid / WFH Options
BJSS
of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems more »
and experience with ETL tools (e.g., SSIS, SAS DI, Informatica, Talend). Experience with data warehouse platforms (e.g., Microsoft SQL Server, Amazon Redshift, GoogleBigQuery, Snowflake). Familiarity with BI tools (e.g., Power BI, Tableau, etc.) Strong understanding of database management systems (DBMS). Knowledge of data warehousing concepts more »
York, England, United Kingdom Hybrid / WFH Options
Nigel Wright Recruitment
and timelines. Resource Management and Relationship Support: Oversee internal and external resources, fostering strong relationships to ensure efficient delivery of initiatives. Azure and GoogleBigQuery Management: Oversee our Azure installation hosting our customer database and GoogleBigQuery data warehouse. Database Coordination: Coordinate with our database agency on data more »
Sheffield, England, United Kingdom Hybrid / WFH Options
BJSS
of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems more »
Sheffield, South Yorkshire, Yorkshire, United Kingdom Hybrid / WFH Options
Experis
Services (AWS) (e.g., S3, RDS, Redshift, Athena), Microsoft Azure (e.g., Blob Storage, SQL Database, Data Lake Analytics), or Google Cloud Platform (e.g., Cloud Storage, BigQuery). Deep understanding of cloud computing concepts, including infrastructure as code, serverless computing, and containerization. Expertise in designing scalable and resilient architectures for data more »