1 to 25 of 57 Permanent Amazon Redshift Jobs in the Thames Valley

maintain robust data pipelines using AWS native services (Glue, Lambda, Step Functions, S3, etc.) Develop and optimize data lake and data warehouse solutions using Redshift, Athena, and related technologies Collaborate with data scientists, analysts, and business stakeholders to understand data requirements Ensure data quality, governance, and compliance with financial More ❯

while fostering a positive and inclusive team culture What we’re looking for: Hands-on experience building and maintaining cloud-based data systems (e.g., Redshift, BigQuery, Snowflake) Strong coding skills in languages commonly used for data work (e.g., Python, Java, Scala) Deep understanding of ETL/ELT tools and More ❯

scalable ETL/ELT pipelines to ingest and transform data from various sources. Own the data warehouse and data lake architecture (e.g., Snowflake, BigQuery, Redshift) and ensure data availability, integrity, and performance. Introduce infrastructure-as-code, CI/CD pipelines, and observability best practices into the data platform. Ensure More ❯

Strong stakeholder experience with an ability to work with both technical and non-technical stakeholders.//Proven experience with AWS services (e.g. S3, Redshift, Lambda, ECS, Eventbridge, CloudWatch, Athena etc.).//Proficient in Python & SQL.//Experience with Terraform to manage IaC.//Strong More ❯

mobile app development, SQL, ETL or data pipelines, and data analysis. You have experience with cloud data warehouses/lakes including Snowflake, Databricks, BigQuery, Redshift, S3, and ADLS. You have experience with AWS, GCP, and/or Azure cloud services. You have strong technical skills and experience with data 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

physical). • Proficiency in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). • In-depth knowledge of data warehousing concepts and tools (e.g., Redshift, Snowflake, Google BigQuery). • Experience with big data platforms (e.g., Hadoop, Spark, Kafka). • Familiarity with cloud-based data platforms and services (e.g., AWS More ❯

scalable, secure, and resilient data pipelines Own projects end-to-end — from design to production Work with modern AWS tools (Glue, Lambda, Athena, S3, Redshift, etc.) Contribute to platform strategy and mentor teammates Collaborate across engineering, product, architecture, and security What you bring: Proven experience building high-throughput data 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

communication and collaboration skills. Experience using credit card or loan data, understanding business concepts. Experience with modern data platforms such as Databricks, Snowflake, or Redshift is highly desirable. More ❯

data platform projects in iterative cycles. Non-Microsoft Data Tools – Exposure to or hands-on experience with tools such as Snowflake, Databricks or AWS Redshift Cross-Platform Reporting Tools – Knowledge of BI tools beyond Power BI, such as Tableau or Qlik, for comparative understanding or hybrid deployments. KEY COMPETENCIES More ❯

data platform projects in iterative cycles. Non-Microsoft Data Tools – Exposure to or hands-on experience with tools such as Snowflake, Databricks or AWS Redshift Cross-Platform Reporting Tools – Knowledge of BI tools beyond Power BI, such as Tableau or Qlik, for comparative understanding or hybrid deployments. KEY COMPETENCIES More ❯

recommendations to both technical and non-technical audiences. ● Experience in SQL and hands-on experience with data warehouses/lakes/lakehouses (Snowflake, Databricks, Redshift, etc.). Experience with dbt is a plus. ● High proficiency in data modelling, either through university projects or your first role, you are familiar More ❯

Implement best practices for cloud security, cost optimization, monitoring, and alerting. - Support the deployment and maintenance of modern data stacks (e.g., Snowflake, Databricks, BigQuery, Redshift). - Design and enforce networking, identity access, and compliance standards aligned with client requirements. - Write documentation, runbooks, and client-facing reports to support infrastructure More ❯

tooling through cloud platforms, utilising new LLM models and building out new pipelines. Desired Skills ⚙️ Python, SQL Tableau, Power BI Terraform, Bedrock AWS (DMS, Redshift, S3) Azure (Synapse, Microsoft AI) If you are a skilled Engineer (Python, SQL, Tableau, AWS, Azure) who is interested in this role then please More ❯

tooling through cloud platforms, utilising new LLM models and building out new pipelines. Desired Skills ⚙️ Python, SQL Tableau, Power BI Terraform, Bedrock AWS (DMS, Redshift, S3) Azure (Synapse, Microsoft AI) If you are a skilled Engineer (Python, SQL, Tableau, AWS, Azure) who is interested in this role then please 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 ❯