10 of 10 Permanent Amazon Redshift Jobs in Leeds

Implement best practices for data security and compliance. Collaborate with stakeholders and external partners. Skills & Experience: Strong experience with AWS data technologies (e.g., S3, Redshift, Lambda). Proficient in Python, Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. More ❯

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 ❯

and production support. Knowledge and Skills: Broad data management technical knowledge across the full data cycle. Proven experience working with AWS data technologies (S3, Redshift, Glue, Lambda, Lake Formation, Cloud Formation), GitHub, CI/CD. Coding experience in Apache Spark, Iceberg, or Python (Pandas). Experience in change and More ❯

of Spark and Airflow - Experience in designing data pipelines using cloud-native services on AWS - Extensive knowledge of AWS services, including API Gateway, Lambda, Redshift, Glue, CloudWatch, etc. - Experience in deploying AWS resources using Terraform - Hands-on experience in setting up CI/CD workflows using GitHub Actions **Eligibility More ❯

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 ❯

related role Excellent SQL skills Good understanding of relational and analytical database architectures and methodologies Experience of cloud data warehousing solutions e.g. Snowflake, BigQuery, Redshift Good hands-on experience with at least one Business Intelligence platform Strong analytical and problem-solving skills Excellent communication skills, with the ability to More ❯

a focus on quality, performance, and value. Your responsibilities as Principal Data Engineer include: Building cloud-native data platforms using AWS services such as Redshift, Glue, S3, Lambda, and DynamoDB Designing and implementing ETL/ELT pipelines using Matillion and similar tools Leading on solution deployment using infrastructure-as More ❯

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 ❯

and enjoys working both independently and collaboratively. Key Responsibilities as a Principal Data Engineer Propose and implement data solutions using AWS services including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, and Matillion . Work directly with clients to define requirements, refine solutions, and ensure successful handover to internal … team culture. Required Qualifications & Skills Strong experience in ETL processes and cloud data warehouse patterns . Hands-on expertise with AWS services (S3, Glue, Redshift). Proficiency with Matillion for data transformation. Experience working with various relational databases . Familiarity with data visualization tools such as QuickSight, Tableau, Looker More ❯

frameworks, and compliance with global regulations. Data Platforms: Proficiency in either of the modern cloud data platforms such as Databricks, Snowflake, BigQuery, Synapse, and Redshift for data processing and analytics. Responsibilities: SAP Cloud Data Solutions Sales: Lead sales engagements to position cloud data solutions for enterprise clients, supporting BDMs … cloud architecture and data strategy development. Data Platforms: Proficiency in either of the modern cloud data platforms such as Databricks, Snowflake, BigQuery, Synapse, and Redshift for data processing and analytics. Cloud Data Solutions Sales: Lead sales engagements to position cloud data solutions for enterprise clients, supporting BDMs and sales More ❯