51 to 75 of 212 Amazon Redshift Jobs in England

ll Bring Proven experience in data engineering, with a strong track record building AWS cloud data pipelines and data warehouses. Solid understanding of AWS services such as S3 and Redshift, particularly around storage, computation and security. Familiarity with modern BI tools such as Power BI or AWS QuickSight. Experience with open-source data stack tools like Airflow, DBT, Airbyte More ❯

ll Bring Proven experience in data engineering, with a strong track record building AWS cloud data pipelines and data warehouses. Solid understanding of AWS services such as S3 and Redshift, particularly around storage, computation and security. Familiarity with modern BI tools such as Power BI or AWS QuickSight. Experience with open-source data stack tools like Airflow, DBT, Airbyte More ❯

ll Bring Proven experience in data engineering, with a strong track record building AWS cloud data pipelines and data warehouses. Solid understanding of AWS services such as S3 and Redshift, particularly around storage, computation and security. Familiarity with modern BI tools such as Power BI or AWS QuickSight. Experience with open-source data stack tools like Airflow, DBT, Airbyte More ❯

ll Bring Proven experience in data engineering, with a strong track record building AWS cloud data pipelines and data warehouses. Solid understanding of AWS services such as S3 and Redshift, particularly around storage, computation and security. Familiarity with modern BI tools such as Power BI or AWS QuickSight. Experience with open-source data stack tools like Airflow, DBT, Airbyte More ❯

Solution Architect, or Senior Data Engineer in a cloud environment (preferably AWS). Expertise in data modelling (Dimensional, Data Vault, Enterprise). Strong knowledge of AWS data services (S3, Redshift, Glue, Kinesis, Lambda, etc.). Experience in Data Strategy and Data Governance Strong communication and stakeholder management skills. The Nice-to-Haves (bonus points if you have these!): Experience More ❯

with a passion for agile, iterative development. Ability to translate business needs into technical solutions and communicate clearly with stakeholders. Our Tech Stack AWS (current environment) Azure (future direction) Redshift, Postgres, DBT, PowerBI This is a high-impact role with visibility across our Operational, Engineering, and Data Science teams. If you're ready to shape the future of data More ❯

what to do, run some whiteboard design sessions (realising you've used a permanent marker, you quickly leave the room) Qualifications Data Warehousing, Data Modelling, Database Design, ETL AWS Redshift, AWS Glue, S3, SQL Server, Power BI Cloud/DevOps AWS, Docker, Terraform Bitbucket, Bamboo, CI/CD deploy pipeline Agile, pair programming, code reviews Additional Information Were a More ❯

consultants. Knowledge and Skills: Knowledge - Broad data management technical knowledge so as to be able to work across 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 release management. - Experience in Database Warehouse … procedures. Technical Essentials: - Expertise across data warehouse and ETL/ELT development in AWS preferred with experience in the following: - Strong experience in some of the AWS services like Redshift, Lambda,S3,Step Functions, Batch, Cloud formation, Lake Formation, Code Build, CI/CD, GitHub, IAM, SQS, SNS, Aurora DB - Good experience with DBT, Apache Iceberg, Docker, Microsoft BI More ❯

infrastructure. Collaborating with cross-functional teams — from Product and DevOps to senior leadership — to deliver impactful MI and BI solutions. Designing and developing dashboards and reports using tools like Amazon QuickSight. Supporting and mentoring junior data team members, fostering best practices and continuous improvement. Conducting technical reviews to ensure data accuracy, consistency, and reliability. Driving innovation by recommending improvements … complex data and reporting issues with a proactive mindset. Main Skills Needed 4+ years’ experience as a Data Engineer or similar. Strong SQL skills and hands-on experience with Amazon Redshift (MySQL a plus). Proficiency in AWS Glue and Python scripting for ETL. Solid data modelling and dashboard development experience. Familiarity with Agile delivery, JIRA, and Confluence. More ❯

infrastructure. Collaborating with cross-functional teams — from Product and DevOps to senior leadership — to deliver impactful MI and BI solutions. Designing and developing dashboards and reports using tools like Amazon QuickSight. Supporting and mentoring junior data team members, fostering best practices and continuous improvement. Conducting technical reviews to ensure data accuracy, consistency, and reliability. Driving innovation by recommending improvements … complex data and reporting issues with a proactive mindset. Main Skills Needed 4+ years’ experience as a Data Engineer or similar. Strong SQL skills and hands-on experience with Amazon Redshift (MySQL a plus). Proficiency in AWS Glue and Python scripting for ETL. Solid data modelling and dashboard development experience. Familiarity with Agile delivery, JIRA, and Confluence. More ❯

infrastructure. Collaborating with cross-functional teams — from Product and DevOps to senior leadership — to deliver impactful MI and BI solutions. Designing and developing dashboards and reports using tools like Amazon QuickSight. Supporting and mentoring junior data team members, fostering best practices and continuous improvement. Conducting technical reviews to ensure data accuracy, consistency, and reliability. Driving innovation by recommending improvements … complex data and reporting issues with a proactive mindset. Main Skills Needed 4+ years’ experience as a Data Engineer or similar. Strong SQL skills and hands-on experience with Amazon Redshift (MySQL a plus). Proficiency in AWS Glue and Python scripting for ETL. Solid data modelling and dashboard development experience. Familiarity with Agile delivery, JIRA, and Confluence. More ❯

infrastructure. Collaborating with cross-functional teams — from Product and DevOps to senior leadership — to deliver impactful MI and BI solutions. Designing and developing dashboards and reports using tools like Amazon QuickSight. Supporting and mentoring junior data team members, fostering best practices and continuous improvement. Conducting technical reviews to ensure data accuracy, consistency, and reliability. Driving innovation by recommending improvements … complex data and reporting issues with a proactive mindset. Main Skills Needed 4+ years’ experience as a Data Engineer or similar. Strong SQL skills and hands-on experience with Amazon Redshift (MySQL a plus). Proficiency in AWS Glue and Python scripting for ETL. Solid data modelling and dashboard development experience. Familiarity with Agile delivery, JIRA, and Confluence. More ❯

Python You have strong hands-on experience of building scalable data pipelines in cloud based environments using tools such as DBT, AWS Glue, AWS Lake Formation, Apache Spark and Amazon Redshift You have a good knowledge of data modelling, ELT design patterns, data governance and security best practices You're collaborative and pragmatic with great communication skills What More ❯

Python You have strong hands-on experience of building scalable data pipelines in cloud based environments using tools such as DBT, AWS Glue, AWS Lake Formation, Apache Spark and Amazon Redshift You have a good knowledge of data modelling, ELT design patterns, data governance and security best practices You're collaborative and pragmatic with great communication skills What More ❯

Python You have strong hands-on experience of building scalable data pipelines in cloud based environments using tools such as DBT, AWS Glue, AWS Lake Formation, Apache Spark and Amazon Redshift You have a good knowledge of data modelling, ELT design patterns, data governance and security best practices You're collaborative and pragmatic with great communication skills What More ❯

Python You have strong hands-on experience of building scalable data pipelines in cloud based environments using tools such as DBT, AWS Glue, AWS Lake Formation, Apache Spark and Amazon Redshift You have a good knowledge of data modelling, ELT design patterns, data governance and security best practices You're collaborative and pragmatic with great communication skills What More ❯

SC cleared, or eligible to obtain SC-level security clearance Job description We are looking for a developer with expertise in Python, AWS Glue, step function, EMR cluster and redshift, to join our AWS Development Team. You will be serving as the functional and domain expert in the project team to ensure client expectations are met. The role involves More ❯

monitoring and observer ability toolsets inc. Splunk, Datadog Experience using Github Actions Experience using AWS RDS/SQL based solutions Experience using containerization in AWS Working data warehouse knowledge Redshift and Snowflake preferred Working with IaC - Terraform and Cloud Formation Working understanding of scripting languages including Python and Shell Experience working with streaming technologies inc. Kafka, Apache Flink Experience More ❯

Desirable: Experience using Lake Formation Experience with AWS Kinesis/Firehose for real-time data pipelines Experience of rail, airline or leisure industry Experience with data warehousing and AWS Redshift Why Join? This is a unique opportunity to join a forward-thinking organisation investing heavily in its data capability. You’ll be part of a growing team at the More ❯

Desirable: Experience using Lake Formation Experience with AWS Kinesis/Firehose for real-time data pipelines Experience of rail, airline or leisure industry Experience with data warehousing and AWS Redshift Why Join? This is a unique opportunity to join a forward-thinking organisation investing heavily in its data capability. You’ll be part of a growing team at the More ❯

sources. Ensure the pipelines are optimized for performance, reliability, and maintainability. 🌳 AWS Expertise: Utilize AWS services for data storage, processing, and analytics. Leverage AWS technologies such as S3, Glue, Redshift, and others to build and maintain data solutions. Implement best practices for security and compliance in an AWS environment. 🌳 Python Programming: Demonstrate proficiency in Python programming for data processing More ❯

sources. Ensure the pipelines are optimized for performance, reliability, and maintainability. 🌳 AWS Expertise: Utilize AWS services for data storage, processing, and analytics. Leverage AWS technologies such as S3, Glue, Redshift, and others to build and maintain data solutions. Implement best practices for security and compliance in an AWS environment. 🌳 Python Programming: Demonstrate proficiency in Python programming for data processing More ❯

Python You have strong hands-on experience of building scalable data pipelines in cloud based environments using tools such as DBT, AWS Glue, AWS Lake Formation, Apache Spark and Amazon Redshift You have a good knowledge of data modelling, ELT design patterns, data governance and security best practices You're collaborative and pragmatic with great communication skills What More ❯

of deploying & managing cloud infrastructure for Data Solutions Hands-on experience of working with AWS services, including but not limited to EC2, S3, RDS, Lambda, Glue, EMR, VPC, IAM, Redshift, etc. Good experience in setting up reliable cloud networking that is highly secured. Experience of setting up standard cloud governance policies through IAM roles. Extensive experience with Terraform, including More ❯

Engineer, particularly in data modelling. Strong SQL and hands-on dbt experience. Ability to convert business requirements into logical, scalable data models. Knowledge of cloud data platforms (e.g., Snowflake, Redshift, BigQuery). Strong communication and documentation skills. Structured, detail-oriented mindset. Desirable: Experience with semantic modelling tools (e.g., dbt SL, LookML). Familiarity with workflow orchestration and BI tooling. More ❯