24 of 24 Amazon Redshift Jobs in the North of England

engineers and support their growth. Implement best practices for data security and compliance. Collaborate with stakeholders and external partners. Skills & Experience: Strong experience with AWS data technologies (e.g., S3, Redshift, Lambda). Proficient in Python, Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. Expertise across data warehouse and More ❯

Requirements Proven experience as a Data Engineer, with a track record of designing and managing scalable data pipelines and infrastructure in AWS. Strong expertise with AWS services, including Glue, Redshift, Data Catalog, and large-scale data storage solutions such as data lakes. Proficiency in ETL/ELT tools (e.g. Apache Spark, Airflow, dbt). Skilled in data processing languages More ❯

Requirements Proven experience as a Data Engineer, with a track record of designing and managing scalable data pipelines and infrastructure in AWS. Strong expertise with AWS services, including Glue, Redshift, Data Catalog, and large-scale data storage solutions such as data lakes. Proficiency in ETL/ELT tools (e.g. Apache Spark, Airflow, dbt). Skilled in data processing languages More ❯

tools and governance. Strong analytical mindset with a focus on business outcomes. Nice-to-Have Python or Airflow experience for automation. Knowledge of data warehouse best practices (Snowflake, BigQuery, Redshift). Experience with MS Business Central or similar ERP systems. eCommerce or omni-channel retail background. Exposure to machine learning and predictive analytics. This is a great opportunity to 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

tools such as Power BI, Superset, or Tableau. Experience with AWS data tools and governance. Python or Airflow experience for automation. Knowledge of data warehouse best practices (Snowflake, BigQuery, Redshift). Exposure to machine learning and predictive analytics. This is a great opportunity to join a fast growing, stable D2C brand that values flexibility for all their staff and 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 ❯

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 ❯

Data Engineer in a cloud environment, with openness to various data platforms including AWS, Azure, and Google Cloud. Strong knowledge of data services across multiple platforms (e.g., AWS S3, Redshift, Glue, Azure Blob Storage, Google BigQuery). Expertise in data modelling (Dimensional, Data Vault, Enterprise). Experience designing and implementing modern data architectures. Proficiency with integration/orchestration tools More ❯

in data architecture, data modelling, and database design. Strong proficiency in SQL, Python, and cloud data platforms (e.g., Azure, AWS, GCP). Experience of working with aws technologies (Glue, Redshift, S3) Excellent communication and stakeholder management skills. Location & Flexibility: This is a remote-first role , but you’ll need to attend in-person meetings in York 1–2 times 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 ❯

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 ❯