1 to 25 of 74 Amazon Redshift Jobs in the East of England

teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform … techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and … experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. 3. Strong proficiency in AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4. Solid understanding of data modelling, ETL processes, and data warehousing concepts. More ❯

various teams to align migration processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2, and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data More ❯

various teams to align migration processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data More ❯

. Translate business requirements into robust, scalable data platform solutions. Design data ingestion, transformation, storage, and access layers using AWS services (e.g., S3, Glue, Redshift, Lambda, Athena). Define data governance, security, and compliance frameworks aligned with public sector standards (e.g., GDPR, GDS, NCSC). Collaborate with stakeholders, engineers More ❯

Stay up to date with the latest trends and best practices in data engineering and cloud technologies, especially AWS services such as S3, Lambda, Redshift, and Glue. Qualifications: Bachelor’s degree in computer science, engineering, or a related field. 5+ years of experience in data engineering, with a strong More ❯

ETL tools ( Streamsets, DBT etc.) >Hands on experience with Oracle RDBMS >Data Migration experience to Snowflake >Experience with AWS services such as S3, Lambda, Redshift, and Glue. >Strong understanding of data warehousing concepts and data modeling. >Excellent problem-solving and communication skills, with a focus on delivering high-quality More ❯

ETL tools ( Streamsets, DBT etc.) >Hands on experience with Oracle RDBMS >Data Migration experience to Snowflake >Experience with AWS services such as S3, Lambda, Redshift, and Glue. >Strong understanding of data warehousing concepts and data modeling. >Excellent problem-solving and communication skills, with a focus on delivering high-quality More ❯

ETL tools ( Streamsets, DBT etc.) > Hands on experience with Oracle RDBMS > Data Migration experience to Snowflake > Experience with AWS services such as S3, Lambda, Redshift, and Glue. > Strong understanding of data warehousing concepts and data modeling. > Excellent problem-solving and communication skills, with a focus on delivering high-quality More ❯

ETL tools (Streamsets, DBT etc.) Hands on experience with Oracle RDBMS Data Migration experience to Snowflake Experience with AWS services such as S3, Lambda, Redshift, and Glue. Strong understanding of data warehousing concepts and data modeling. Excellent problem-solving and communication skills, with a focus on delivering high-quality More ❯

ETL tools (Streamsets, DBT, etc.) • Hands-on experience with Oracle RDBMS • Data Migration experience to Snowflake • Experience with AWS services such as S3, Lambda, Redshift, and Glue. • Strong understanding of data warehousing concepts and data modelling. • Excellent problem-solving and communication skills, with a focus on delivering high-quality More ❯

ETL tools (Streamsets, DBT etc.) Hands on experience with Oracle RDBMS Data Migration experience to Snowflake Experience with AWS services such as S3, Lambda, Redshift, and Glue. Strong understanding of data warehousing concepts and data modeling. Excellent problem-solving and communication skills, with a focus on delivering high-quality More ❯

ETL tools (Streamsets, DBT etc.) Hands on experience with Oracle RDBMS Data Migration experience to Snowflake Experience with AWS services such as S3, Lambda, Redshift, and Glue. Strong understanding of data warehousing concepts and data modeling. Excellent problem-solving and communication skills, with a focus on delivering high-quality More ❯

ETL tools (Streamsets, DBT etc.) Hands on experience with Oracle RDBMS Data Migration experience to Snowflake Experience with AWS services such as S3, Lambda, Redshift, and Glue. Strong understanding of data warehousing concepts and data modeling. Excellent problem-solving and communication skills, with a focus on delivering high-quality More ❯

ETL tools (Streamsets, DBT etc.) > Hands on experience with Oracle RDBMS > Data Migration experience to Snowflake > Experience with AWS services such as S3, Lambda, Redshift, and Glue. > Strong understanding of data warehousing concepts and data modeling. > Excellent problem-solving and communication skills, with a focus on delivering high-quality More ❯

and DBT . Hands-on experience with Oracle RDBMS . Proven data migration experience to Snowflake . Experience with AWS services including S3 , Lambda , Redshift , and Glue . Solid understanding of data warehousing concepts and data modeling . Excellent problem-solving and communication skills focused on delivering high-quality More ❯

such as StreamSets and DBT. Hands-on experience with Oracle RDBMS. Proven data migration experience to Snowflake. Experience with AWS services including S3, Lambda, Redshift, and Glue. Solid understanding of data warehousing concepts and data modeling. Excellent problem-solving and communication skills focused on delivering high-quality solutions. Understanding More ❯

platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with More ❯

platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with More ❯

platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with More ❯

platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with More ❯

platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with More ❯

platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with More ❯

platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with More ❯

platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with More ❯

platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with More ❯