101 to 125 of 164 Amazon Redshift Jobs in the UK

wealth management. Excellent leadership, stakeholder management, and team-building skills. Some degree of exposure to: Cloud Data Platforms and AI integration (Azure, Databricks, etc); Data Storage and Warehousing (Snowflake, Redshift, Databricks); Data Processing and ETL (Apache, etc); Data Manipulation & Processing (Pandas, SQL, etc); Data Visualisation and BI (Tableau, PowerBI); ML Ops. More ❯

wealth management. Excellent leadership, stakeholder management, and team-building skills. Some degree of exposure to: Cloud Data Platforms and AI integration (Azure, Databricks, etc); Data Storage and Warehousing (Snowflake, Redshift, Databricks); Data Processing and ETL (Apache, etc); Data Manipulation & Processing (Pandas, SQL, etc); Data Visualisation and BI (Tableau, PowerBI); ML Ops. More ❯

wealth management. Excellent leadership, stakeholder management, and team-building skills. Some degree of exposure to: Cloud Data Platforms and AI integration (Azure, Databricks, etc); Data Storage and Warehousing (Snowflake, Redshift, Databricks); Data Processing and ETL (Apache, etc); Data Manipulation & Processing (Pandas, SQL, etc); Data Visualisation and BI (Tableau, PowerBI); ML Ops. More ❯

wealth management. Excellent leadership, stakeholder management, and team-building skills. Some degree of exposure to: Cloud Data Platforms and AI integration (Azure, Databricks, etc); Data Storage and Warehousing (Snowflake, Redshift, Databricks); Data Processing and ETL (Apache, etc); Data Manipulation & Processing (Pandas, SQL, etc); Data Visualisation and BI (Tableau, PowerBI); ML Ops. More ❯

the most appropriate technologies, deploying final implementations on AWS.You’ll bring hands-on depth and knowledge in: Languages: Python, PySpark, SQL Technologies: Spark, Airflow Cloud: AWS (API Gateway, Lambda, Redshift, Glue, CloudWatch, etc.) Data Pipelines: Designing and building modern, cloud-native pipelines using AWS services In addition, you will require strong leadership skills and excellent communication abilities, with the More ❯

innovation. Architect and optimise ELT pipelines and workflows using dbt, Airflow, SQL, and Python. Oversee the design and evolution of large-scale analytics platforms and data warehouses (Snowflake, BigQuery, Redshift). Ensure best practices in governance, modelling, data quality, and scalable system design. Drive continuous improvement in orchestration, schema design, transformation, and automation processes. Translate complex technical insights into More ❯

innovation. Architect and optimise ELT pipelines and workflows using dbt, Airflow, SQL, and Python. Oversee the design and evolution of large-scale analytics platforms and data warehouses (Snowflake, BigQuery, Redshift). Ensure best practices in governance, modelling, data quality, and scalable system design. Drive continuous improvement in orchestration, schema design, transformation, and automation processes. Translate complex technical insights into More ❯

innovation. Architect and optimise ELT pipelines and workflows using dbt, Airflow, SQL, and Python. Oversee the design and evolution of large-scale analytics platforms and data warehouses (Snowflake, BigQuery, Redshift). Ensure best practices in governance, modelling, data quality, and scalable system design. Drive continuous improvement in orchestration, schema design, transformation, and automation processes. Translate complex technical insights into More ❯

innovation. Architect and optimise ELT pipelines and workflows using dbt, Airflow, SQL, and Python. Oversee the design and evolution of large-scale analytics platforms and data warehouses (Snowflake, BigQuery, Redshift). Ensure best practices in governance, modelling, data quality, and scalable system design. Drive continuous improvement in orchestration, schema design, transformation, and automation processes. Translate complex technical insights into More ❯

innovation. Architect and optimise ELT pipelines and workflows using dbt, Airflow, SQL, and Python. Oversee the design and evolution of large-scale analytics platforms and data warehouses (Snowflake, BigQuery, Redshift). Ensure best practices in governance, modelling, data quality, and scalable system design. Drive continuous improvement in orchestration, schema design, transformation, and automation processes. Translate complex technical insights into More ❯

or scripting (PowerShell, Bash, Python) is a plus. Hands-on experience with Windows Server, Linux (RHEL) , and virtualisation tools (VMware, Citrix). Desirable: Exposure to data warehousing solutions (Snowflake, Redshift, BigQuery). Experience operating in hybrid cloud/on-prem environments. Knowledge of data modelling, replication, and query optimisation techniques. Please note that you will have to go through More ❯

or scripting (PowerShell, Bash, Python) is a plus. Hands-on experience with Windows Server, Linux (RHEL) , and virtualisation tools (VMware, Citrix). Desirable: Exposure to data warehousing solutions (Snowflake, Redshift, BigQuery). Experience operating in hybrid cloud/on-prem environments. Knowledge of data modelling, replication, and query optimisation techniques. Please note that you will have to go through More ❯

or scripting (PowerShell, Bash, Python) is a plus. Hands-on experience with Windows Server, Linux (RHEL) , and virtualisation tools (VMware, Citrix). Desirable: Exposure to data warehousing solutions (Snowflake, Redshift, BigQuery). Experience operating in hybrid cloud/on-prem environments. Knowledge of data modelling, replication, and query optimisation techniques. Please note that you will have to go through More ❯

learning, reinforcement learning, LLM orchestration, RAG systems, etc Familiarity with cloud services and MLOps tooling to deploy and scale data and ML workloads cost-effectively Familiarity with data warehouses (Redshift, BigQuery, Snowflake, etc) and best practices around data pipeline tools Strong proficiency in SQL Comfort with ambiguity and short feedback loops A passion for building products that make a More ❯

Strong stakeholder management and communication skills, with the ability to translate technical outputs into business-friendly insights. Experience with Snowflake (or alternative cloud data warehouses such as BigQuery or Redshift). Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people More ❯

issues and tuning environments Follow and enforce technical best practices throughout all project phases Required Skills: Strong Application development experience in Scala/Python Strong Database SQL experience, preferably Redshift Experience in Snowflake is an added advantage Experience with ETL/ELT process and frameworks is a must What is in it for you: Be part of the fastest More ❯

issues and tuning environments Follow and enforce technical best practices throughout all project phases Required Skills: Strong Application development experience in Scala/Python Strong Database SQL experience, preferably Redshift Experience in Snowflake is an added advantage Experience with ETL/ELT process and frameworks is a must What is in it for you: Be part of the fastest More ❯

issues and tuning environments Follow and enforce technical best practices throughout all project phases Required Skills: Strong Application development experience in Scala/Python Strong Database SQL experience, preferably Redshift Experience in Snowflake is an added advantage Experience with ETL/ELT process and frameworks is a must What is in it for you: Be part of the fastest More ❯

issues and tuning environments Follow and enforce technical best practices throughout all project phases Required Skills: Strong Application development experience in Scala/Python Strong Database SQL experience, preferably Redshift Experience in Snowflake is an added advantage Experience with ETL/ELT process and frameworks is a must What is in it for you: Be part of the fastest More ❯

GCP, or Azure). Bonus points for: Familiarity with ML frameworks (PyTorch, Jupyter). Knowledge of cloud monitoring tools (Prometheus, Grafana). Experience with cloud-based databases (RDS, Aurora, Redshift, Spanner, etc.). Exposure to CI/CD pipelines (e.g., CircleCI). What's on offer: The chance to shape the future of 3D AI technology . A collaborative More ❯

issues and tuning environments Follow and enforce technical best practices throughout all project phases Required Skills: Strong Application development experience in Scala/Python Strong Database SQL experience, preferably Redshift Experience in Snowflake is an added advantage Experience with ETL/ELT process and frameworks is a must What is in it for you: Be part of the fastest More ❯

Business Intelligence Analyst/BI Analyst you'll be the first hire within this area, supported by the Head of Finance you'll oversee the implementation of the AWS Redshift Data Warehouse that has been built by a tech consultancy and take ownership of implementing PowerBI into the business to enable data informed decisions that drive efficiency and revenue. More ❯

Proven experience designing and governing complex, multi-cloud or hybrid solutions. Deep technical expertise in cloud, data, integration, and security architecture. Strong understanding of enterprise data platforms (Databricks, S3, Redshift), integration patterns (API Gateway, AppFlow, Logic Apps), and cloud-native services. Demonstrable leadership in delivering large-scale transformation or digital programmes. Proficiency in DevOps tooling (Terraform, GitHub, CodePipeline, Azure More ❯

Proven experience designing and governing complex, multi-cloud or hybrid solutions. Deep technical expertise in cloud, data, integration, and security architecture. Strong understanding of enterprise data platforms (Databricks, S3, Redshift), integration patterns (API Gateway, AppFlow, Logic Apps), and cloud-native services. Demonstrable leadership in delivering large-scale transformation or digital programmes. Proficiency in DevOps tooling (Terraform, GitHub, CodePipeline, Azure More ❯

Proven experience designing and governing complex, multi-cloud or hybrid solutions. Deep technical expertise in cloud, data, integration, and security architecture. Strong understanding of enterprise data platforms (Databricks, S3, Redshift), integration patterns (API Gateway, AppFlow, Logic Apps), and cloud-native services. Demonstrable leadership in delivering large-scale transformation or digital programmes. Proficiency in DevOps tooling (Terraform, GitHub, CodePipeline, Azure More ❯