19 of 19 Permanent Amazon Redshift Jobs in the North of England

introduction of streaming and real-time data processing alongside traditional batch systems. Mentoring junior engineers and sharing best practices to strengthen data engineering capability. Tech Stack & Environment AWS ecosystem: Redshift, S3, Glue, Lambda, Step Functions, CloudFormation Core tools: Python, SQL, DBT, Terraform, GitHub, CI/CD Data warehousing: 600TB+ environment with expansion into Databricks BI & analytics: Power BI, Tableau More ❯

Key Skills & Experience: Proven experience as a Senior Data Engineer in a large-scale or complex environment. Strong hands-on expertise with AWS data services (e.g., S3, Glue, Lambda, Redshift, Athena, EMR). Experience building data lakes and modern data platforms from the ground up. Proficiency with Python, SQL, and orchestration tools such as Airflow or dbt. Strong understanding More ❯

as testing, version control, and CI/CD Hands-on experience building scalable data pipelines in a modern cloud environment (e.g., dbt, AWS Glue, AWS Lake Formation, Apache Spark, Amazon Redshift) Strong understanding of data modeling, ELT design patterns, data governance, and security best practices Bonus . Experience with reverse ETL tools (e.g., Census) Knowledge of data privacy 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 ❯

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 ❯

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 ❯

Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL pipelines that handle large volumes of data efficiently, with low latency. Location/WFH: You'll join a small but growing team More ❯

Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL pipelines that handle large volumes of data efficiently, with low latency. Location/WFH: You'll join a small but growing team More ❯

Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL pipelines that handle large volumes of data efficiently, with low latency. Location/WFH: You'll join a small but growing team More ❯

Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL pipelines that handle large volumes of data efficiently, with low latency. Location/WFH: You'll join a small but growing team More ❯

Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL pipelines that handle large volumes of data efficiently, with low latency. Location/WFH: You'll join a small but growing team 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 ❯

times and promotes these both internally and externally. Takes ownership of own personal and professional development Qualifications and skills Required Leveraging Open Source stacks, utilising Python and MySQL , DynamoDB ,Redshift at a senior engineering level. Commercial experience of software development within AWS (IaaS & PaaS) Experience of writing high performance enterprise scale applications Thorough experience of Object-Oriented concepts within More ❯

times and promotes these both internally and externally. Takes ownership of own personal and professional development Qualifications and skills Required Leveraging Open Source stacks, utilising Python and MySQL , DynamoDB ,Redshift at a senior engineering level. Commercial experience of software development within AWS (IaaS & PaaS) Experience of writing high performance enterprise scale applications Thorough experience of Object-Oriented concepts within More ❯

times and promotes these both internally and externally. Takes ownership of own personal and professional development Qualifications and skills Required Leveraging Open Source stacks, utilising Python and MySQL , DynamoDB ,Redshift at a senior engineering level. Commercial experience of software development within AWS (IaaS & PaaS) Experience of writing high performance enterprise scale applications Thorough experience of Object-Oriented concepts within More ❯

About Us Our mission is to dominate the betting and gaming industry on a global scale and we need the very best Tech talent to help us achieve this. We recently migrated all of our customers onto our very own More ❯