1 to 25 of 41 Remote 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 ❯

key data platform initiatives in alignment with business priorities.//Strong stakeholder engagement experience.//Proven experience with AWS services (e.g. S3, Redshift, Lambda, ECS, Eventbridge, CloudWatch, Athena etc.) for building and maintaining scalable data solutions in the cloud.//Proficient programming skills in Python./ More ❯

Terraform is a plus). Experience with Airflow or similar orchestration tools. Familiarity with MLflow or MLOps practices. Knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery). Consulting background is a plus. Strong communication skills (oral & written) Rights to work in the UK is must (No Sponsorship available) Responsibilities More ❯

scalable AWS data solutions while mentoring junior engineers. Key Responsibilities: Lead the development and implementation of AWS data components, including Firehose, Glue, Lambda, Athena, Redshift, and Quicksight. Support junior engineers through technical guidance, mentoring, and task leadership. Collaborate with cloud architects to evolve our MVP data platform toward a More ❯

available cloud services (AWS or Azure). Strong understanding of IaC principles and tools (Terraform, CloudFormation, Bicep). Familiarity with cloud database technologies (Snowflake, Redshift, etc.). Knowledge of Linux and related platform tooling (e.g., Docker). Knowledge of data platform and/or data science tooling. Solid understanding More ❯

available cloud services (AWS or Azure). Strong understanding of IaC principles and tools (Terraform, CloudFormation, Bicep). Familiarity with cloud database technologies (Snowflake, Redshift, etc.). Knowledge of Linux and related platform tooling (e.g., Docker). Knowledge of data platform and/or data science tooling. Solid understanding More ❯

available cloud services (AWS or Azure). Strong understanding of IaC principles and tools (Terraform, CloudFormation, Bicep). Familiarity with cloud database technologies (Snowflake, Redshift, etc.). Knowledge of Linux and related platform tooling (e.g., Docker). Knowledge of data platform and/or data science tooling. Solid understanding More ❯

available cloud services (AWS or Azure). Strong understanding of IaC principles and tools (Terraform, CloudFormation, Bicep). Familiarity with cloud database technologies (Snowflake, Redshift, etc.). Knowledge of Linux and related platform tooling (e.g., Docker). Knowledge of data platform and/or data science tooling. Solid understanding More ❯

available cloud services (AWS or Azure). Strong understanding of IaC principles and tools (Terraform, CloudFormation, Bicep). Familiarity with cloud database technologies (Snowflake, Redshift, etc.). Knowledge of Linux and related platform tooling (e.g., Docker). Knowledge of data platform and/or data science tooling. Solid understanding More ❯

coding skills You have experience with big data frameworks and tools including Spark You have a good knowledge of AWS data services (e.g. S3, Redshift, EMR, Glue) You have strong analytical, problem solving and critical thinking skills You have excellent communication skills and experience of working across teams What 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 ❯

such as Azure Pipelines . Ensuring data systems are stable, secure, and high-performing. Tech Stack Includes: Infrastructure as Code (Terraform) Cloud databases (Snowflake, Redshift, etc.) Docker and/or Linux tooling Modern data stack: DBT, Airflow Agile working environment What’s in it for You: Fully remote working More ❯

such as Azure Pipelines . Ensuring data systems are stable, secure, and high-performing. Tech Stack Includes: Infrastructure as Code (Terraform) Cloud databases (Snowflake, Redshift, etc.) Docker and/or Linux tooling Modern data stack: DBT, Airflow Agile working environment What’s in it for You: Fully remote working More ❯

such as Azure Pipelines . Ensuring data systems are stable, secure, and high-performing. Tech Stack Includes: Infrastructure as Code (Terraform) Cloud databases (Snowflake, Redshift, etc.) Docker and/or Linux tooling Modern data stack: DBT, Airflow Agile working environment What’s in it for You: Fully remote working More ❯

such as Azure Pipelines . Ensuring data systems are stable, secure, and high-performing. Tech Stack Includes: Infrastructure as Code (Terraform) Cloud databases (Snowflake, Redshift, etc.) Docker and/or Linux tooling Modern data stack: DBT, Airflow Agile working environment What’s in it for You: Fully remote working More ❯

such as Azure Pipelines . Ensuring data systems are stable, secure, and high-performing. Tech Stack Includes: Infrastructure as Code (Terraform) Cloud databases (Snowflake, Redshift, etc.) Docker and/or Linux tooling Modern data stack: DBT, Airflow Agile working environment What’s in it for You: Fully remote working 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

building large-scale data pipelines and infrastructure. Proficient in: Data modelling techniques AWS managed services, SQL & NoSQL databases Modern cloud data warehouses (e.g. Snowflake, Redshift, Trino) Infrastructure as Code (AWS CDK or equivalent) Strong commitment to clean code, quality, testing, and operational excellence. Comfortable working in agile teams and 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 ❯

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 ❯