1 to 25 of 86 Amazon Redshift Jobs in the UK excluding London

Software Dev Engineer II, Amazon Redshift Query Processing Are you passionate about transforming business challenges into technological breakthroughs? Join Amazon as a Software Development Engineer (SDE) and help shape the future of global commerce. At Amazon, customer obsession drives everything we do. As an SDE, you … of the best minds in technology, we want to hear from you. AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's … systems Code and test system components while participating in code and design reviews to ensure high quality, maintainable solutions Work collaboratively with other AWS Redshift teams to deliver and operate services while dealing with ambiguity in new service development Take ownership of overall system architecture, with focus on scalability More ❯

for an experienced Senior Data Engineer to start ASAP for a leading Financial Services client in Watford, ideally you come from a similar background. Amazon Redshift and AWS Glue are essential for this role - You must have experience of these in a commerical setting. Hybrid working Salary - Between … Depending on experience Key skills/experience • 4+ years of experience as a Data Engineer or on a similar role. • Extensive experience with SQL, Amazon Redshift & ideally MySQL. • Extensive experience with visualisation tools, ideally with Amazon QuickSight. • Experience with AWS Glue and the ability to write Python … with JIRA & Confluence. • Knowledge of SAP Business Objects would be helpful but not necessary - currently in use but in the process of migrating to Redshift & QuickSight. Our clients pride themselves on hiring the best in the industry, in return they offer a salary of somewhere between £80,000 to More ❯

And future opportunities) *To be successful in this role we are looking for someone who is particularly strong in Oracle Data Integrator (ODI) or Amazon Redshift/AWS - Or ideally both :) This can be offered as "mostly remote" however you will need to be comfortable going to the … scratch Oracle Databases and hopefully experience of ODI (Oracle Data Integrator) (Can be learnt in role) Experience in AWS, perhaps some Informatica/SSIS Amazon Redshift - this can be learnt if not used as yet Perhaps exposure to S3 Experience in Data Integration, APIs and Storage solutions Comfortable More ❯

SQLAlchemy, GitLab, Athena. Your Trusted Companions : Docker, Snowflake, MongoDB, Relational Databases (eg MySQL, PostgreSQL), Dagster, Airflow/Luigi, Spark, Kubernetes. Your AWS Kingdom : Lambda, Redshift, EC2, ELB, IAM, RDS, Route53, S3-the building blocks of cloud mastery. Your Philosophy : Continuous integration/deployments, (CI/CD) automation, rigorous code More ❯

development and implementation of complex data pipelines and ETL/ELT processes using cloud-native technologies (e.g. AWS Glue AWS Lambda AWS S3 AWS Redshift AWS EMR). Develop and maintain data quality checks data validation rules and data lineage documentation. Collaborate with data analysts data scientists business stakeholders More ❯

Talend and SnapLogic for streamlined pipeline development. Strong experience working with cloud-based data services, especially within AWS environments, utilizing tools like Lambda, S3, Redshift, Glue, Athena and Secrets Manager. Skilled in building modern data warehouses on platforms like Amazon Redshift, Snowflake, or Databricks. If you are More ❯

Python, or C# with Spring Boot or .NET Core. Integrations: Market data feeds (e.g., Refinitiv, Bloomberg). Data Platforms: Warehouses: Snowflake, Google BigQuery, or Amazon Redshift. Analytics: Tableau, Power BI, or Looker for client reporting. Big Data: Apache Spark or Hadoop for large-scale processing. AI/ML: TensorFlow More ❯

from various sources into AWS data stores for both batch and streaming data ingestion. AWS Expertise: Utilize your expertise in AWS services such as Amazon EMR, S3, AWS Glue, Amazon Redshift, AWS Lambda, and more to build and optimize data solutions. Data Modeling: Design and implement data … a related field. 5 to 8 years of experience in data engineering, including working with AWS services. Proficiency in AWS services like S3, Glue, Redshift, Lambda, and EMR. Knowledge of Cloudera-based Hadoop is a plus. Strong ETL development skills and experience with data integration tools. Knowledge of data More ❯

experience in data engineering (5+ years), with at least 2 in a people leadership role. Hands-on experience with data warehouse solutions such as Redshift, Snowflake, or BigQuery. Strong command of SQL and programming languages like Python, Scala, or Java. Familiarity with ETL/ELT tools (e.g., Airflow, Fivetran More ❯

various teams to align migration processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data More ❯

various teams to align migration processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data More ❯

a focus on backend, API, and data systems using tools like Pytest and Postman. Expertise in Pandas, SQL, and AWS analytics services (Glue, Athena, Redshift) for data profiling, transformation, and validation within data lakes. Solid experience with AWS (S3, Lambda, EMR, ECS/EKS, CloudFormation/Terraform) and understanding More ❯

a focus on backend, API, and data systems using tools like Pytest and Postman. Expertise in Pandas, SQL, and AWS analytics services (Glue, Athena, Redshift) for data profiling, transformation, and validation within data lakes. Solid experience with AWS (S3, Lambda, EMR, ECS/EKS, CloudFormation/Terraform) and understanding More ❯

to demonstrate how to automate and manage data systems so they run smoothly and can grow easily. Experience with tools like AWS (S3, Glue, Redshift, SageMaker) or other cloud platforms. Familiarity with Docker, Terraform, GitHub Actions, and Vault for managing secrets. Proficiency in SQL, Python, Spark, or Scala to More ❯

Assist with resolution of support issues. Requirements 4+ years of experience as a Data Engineer or on a similar role. Extensive experience with SQL, Amazon Redshift & ideally MySQL. Extensive experience with visualisation tools, ideally with Amazon QuickSight. Experience with AWS Glue and the ability to write Python … use new technologies. Knowledge of SAP Business Objects would be helpful but not necessary – currently in use but in the process of migrating to Redshift & QuickSight. More ❯

Assist with resolution of support issues. Requirements 4+ years of experience as a Data Engineer or on a similar role. Extensive experience with SQL, Amazon Redshift & ideally MySQL. Extensive experience with visualisation tools, ideally with Amazon QuickSight. Experience with AWS Glue and the ability to write Python … use new technologies. Knowledge of SAP Business Objects would be helpful but not necessary – currently in use but in the process of migrating to Redshift & QuickSight. More ❯

Assist with resolution of support issues. Requirements 4+ years of experience as a Data Engineer or on a similar role. Extensive experience with SQL, Amazon Redshift & ideally MySQL. Extensive experience with visualisation tools, ideally with Amazon QuickSight. Experience with AWS Glue and the ability to write Python … use new technologies. Knowledge of SAP Business Objects would be helpful but not necessary – currently in use but in the process of migrating to Redshift & QuickSight. More ❯

data analysis, machine learning, and data visualization. In-depth knowledge of cloud platforms (AWS, Azure, Google Cloud) and related data services (e.g., S3, BigQuery, Redshift, Data Lakes). Expertise in SQL for querying large datasets and optimizing performance. Experience working with big data technologies such as Hadoop, Apache Spark More ❯

preferred) Experience with cloud platforms (AWS/Azure) Solid understanding of data architecture, modelling, and ETL/ELT pipelines Experience using tools like Databricks, Redshift, Snowflake, or similar Comfortable working with APIs, CLIs, and orchestration tools like Airflow Confident using Git and familiar with CI/CD processes (Azure More ❯

preferred) Experience with cloud platforms (AWS/Azure) Solid understanding of data architecture, modelling, and ETL/ELT pipelines Experience using tools like Databricks, Redshift, Snowflake, or similar Comfortable working with APIs, CLIs, and orchestration tools like Airflow Confident using Git and familiar with CI/CD processes (Azure More ❯

growing data practices. Expertise in data architecture, data modelling, data analysis, and data migration. Strong knowledge of SQL, NoSQL, cloud-based databases (e.g., AWS Redshift, Snowflake, Google BigQuery, Azure Synapse). Experience in ETL development, data pipeline automation, and data integration strategies. Familiarity with AI-driven analytics Strong understanding More ❯

and performance, resolving any issues proactively. Key skills required: Strong Data Engineering experience, preferably within the media or entertainment industry. Strong expertise in AWS & Redshift, including performance tuning, data modeling, and schema design. Hands-on experience with Matillion (or similar) ETL/ELT processes. Proficiency in SQL & Python Proven More ❯

within a commercial environment creating production grade ETL and ELT pipelines in python Comfortable implementing data architectures in analytical data warehouses such as Snowflake, Redshift or BigQuery Hands on experience with data orchestrators such as Airflow Knowledge of Agile development methodologies Awareness of cloud technology particularly AWS. Knowledge of More ❯

services regulations (PCI DSS, FCA, GDPR). Database & Data Services: Expertise in how data services connect, function and integrate within AWS, such as Athena, Redshift and Aurora. AWS Contact Platform Services: Hands-on experience with AWS Connect and related services such as Lens and Kinect. Coding & Automation: Proficiency in More ❯

services regulations (PCI DSS, FCA, GDPR). Database & Data Services: Expertise in how data services connect, function and integrate within AWS, such as Athena, Redshift and Aurora. AWS Contact Platform Services: Hands-on experience with AWS Connect and related services such as Lens and Kinect. Coding & Automation: Proficiency in More ❯