1 to 25 of 57 Amazon Redshift Jobs in the UK excluding London

Java Experience in a Marketing technical stack and 3rd party tools Broad experience of working within AWS; including infrastructure (VPC, EC2, Security groups, S3 etc) to AWS data platforms (Redshift, RDS, Glue etc). Working Knowledge of infrastructure automation with Terraform. Working knowledge of test tools and frameworks such as Junit, Mockito, ScalaTest, pytest. Working knowledge of build tools More ❯

Nice to Haves": • Certification in dbt or Google Cloud Platform or related technologies. • Experience with other cloud platforms (e.g. AWS, Azure, Snowflake) and data warehouse/lakehouse technologies (e.g. Redshift, Databricks, Synapse) • Knowledge of distributed big data technologies. • Proficiency in Python. • Familiarity with data governance and compliance frameworks. Your characteristics as a Consultant will include: • Driven by delivering quality More ❯

thought leader by authoring blogs, presenting at webinars, and engaging in external speaking opportunities. Technical Delivery Excellence You'll design and optimise cloud-based data architectures (e.g. Snowflake, Databricks, Redshift, Google BigQuery, Azure Synapse) to support advanced analytics. You'll build and automate scalable, secure, and high-performance data pipelines handling diverse data sources. You'll work closely with More ❯

and big data platforms. Knowledge of data modeling, replication, and query optimization. Hands-on experience with SQL and NoSQL databases is desirable. Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) would be beneficial. Data Platform Management: Comfortable operating in hybrid environments (cloud and on-prem). Experience integrating diverse data sources and systems. Understanding of secure data transfer More ❯

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 ❯

scalable test automation frameworks, with 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 of cloud-native architectures and More ❯

journey of our data platform (AWS) Cloud Proficiency: Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and its core data services (e.g., S3, Redshift, Lambda/Functions, Glue). Data Modelling: Deep understanding of ELT/ETL patterns, and data modelling techniques. CRM/Customer Data Focus: Experience working directly with data from More ❯

Bash, Python, Go, PowerShell Monitoring and logging tools such as Prometheus, Grafana, Dynatrace Solid understanding of networking and security (VPC, Nginx, AWS WAF, etc.) Database experience with DynamoDB, Aurora, Redshift, SQL Comfortable with Linux/Unix OS administration Ideally, AWS DevOps Engineer certification Exposure to Ping Identity (ForgeRock) is also desirable Business & People Skills Ability to work independently and More ❯

Bash, Python, Go, PowerShell Monitoring and logging tools such as Prometheus, Grafana, Dynatrace Solid understanding of networking and security (VPC, Nginx, AWS WAF, etc.) Database experience with DynamoDB, Aurora, Redshift, SQL Comfortable with Linux/Unix OS administration Ideally, AWS DevOps Engineer certification Exposure to Ping Identity (ForgeRock) is also desirable Business & People Skills Ability to work independently and More ❯

cloud platforms (GCP, AWS, Azure) and their data-specific services Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow, DBT) Experience with modern data warehouse technologies (BigQuery, Snowflake, Redshift, etc.) Strong understanding of data modeling, data governance, and data quality principles Excellent communication skills with the ability to translate complex technical concepts for business stakeholders Strategic thinking with More ❯

input into technical decisions, peer reviews and solution design. Requirements Proven experience as a Data Engineer in cloud-first environments. Strong commercial knowledge of AWS services (e.g. S3, Glue, Redshift). Advanced PySpark and Databricks experience (Delta Lake, Unity Catalog, Databricks Jobs etc). Proficient in SQL (T-SQL/SparkSQL) and Python for data transformation and scripting. Hands More ❯

for clients Present findings and recommendations to senior client stakeholders Tech Stack You'll Work With BI Tools : Power BI, Tableau, Looker, Google Data Studio Data Warehousing : Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks (Desirable More ❯

for clients Present findings and recommendations to senior client stakeholders Tech Stack You'll Work With BI Tools : Power BI, Tableau, Looker, Google Data Studio Data Warehousing : Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks (Desirable More ❯

for clients Present findings and recommendations to senior client stakeholders Tech Stack You'll Work With BI Tools : Power BI, Tableau, Looker, Google Data Studio Data Warehousing : Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks (Desirable More ❯

for clients Present findings and recommendations to senior client stakeholders Tech Stack You'll Work With BI Tools : Power BI, Tableau, Looker, Google Data Studio Data Warehousing : Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks (Desirable More ❯

pipelines with technologies such as Kafka You have experience of Big Data Analytics platform integration with AWS You have a strong understanding of RDBMS, Data Warehousing, Data Modelling, SQL (Redshift, PostgreSQL) and NoSQL databases You have a good appreciation of software engineering best practices, DevOps, CI/CD, IaC You have excellent communication skills What's in it for More ❯

stack with robust, pragmatic solutions. Responsibilities develop, and maintain ETL/ELT data pipelines using AWS services Data, Databricks and dbt Manage and optimize data storage solutions such as Amazon S3, Redshift, RDS, and DynamoDB. Implement and manage infrastructure-as-code (IaC) using tools like Terraform or AWS CloudFormation. Monitor and optimize the performance, cost, and scalability of More ❯

IaaS ? PaaS), including Infra as Code. Strong SQL skills and proficiency in Python or PySpark . Built or maintained data lakes/warehouses using Synapse , Fabric , Databricks , Snowflake , or Redshift . Experience hardening cloud environments (NSGs, identity, Defender). Demonstrated automation of backups, CI/CD deployments, or DR workflows. Nice-to-Haves: Experience with Azure OpenAI , vector databases More ❯

IaaS PaaS), including Infra as Code. Strong SQL skills and proficiency in Python or PySpark . Built or maintained data lakes/warehouses using Synapse , Fabric , Databricks , Snowflake , or Redshift . Experience hardening cloud environments (NSGs, identity, Defender). Demonstrated automation of backups, CI/CD deployments, or DR workflows. Nice-to-Haves: Experience with Azure OpenAI , vector databases More ❯

/CD solutions Linux system administration, including shell scripting and system optimisation Desirable Skills Experience with AWS services such as SQS, SNS, API Gateway, or data analytics platforms (e.g., Redshift, Glue) CI/CD pipelines using GitLab CI Monitoring solutions using NewRelic Deployment management with Helm Admiral: Where You Can We take pride in being a diverse and inclusive More ❯

re an experienced data engineering professional with a proven ability to lead and inspire teams. You bring deep technical skills in Python, SQL, and AWS services such as EC2, Redshift, Lambda and Kinesis, alongside strong stakeholder management and commercial awareness. You'll also bring: Proven experience designing and implementing data pipelines, ETL processes, and warehousing in cloud environments. The More ❯

data storage and retrieval for performance Work with batch and real-time processing frameworks Implement and manage ETL processes Use tools like Python, SQL, Spark, Airflow, Kafka, dbt, Snowflake, Redshift, BigQuery Requirements Bachelors degree in Computer Science, Engineering, or a related field 1+ year in a Data Engineer or similar role Proficiency in SQL and Python (or another scripting More ❯

data storage and retrieval for performance Work with batch and real-time processing frameworks Implement and manage ETL processes Use tools like Python, SQL, Spark, Airflow, Kafka, dbt, Snowflake, Redshift, BigQuery Requirements Bachelors degree in Computer Science, Engineering, or a related field 1+ year in a Data Engineer or similar role Proficiency in SQL and Python (or another scripting More ❯

data storage and retrieval for performance Work with batch and real-time processing frameworks Implement and manage ETL processes Use tools like Python, SQL, Spark, Airflow, Kafka, dbt, Snowflake, Redshift, BigQuery Requirements Bachelors degree in Computer Science, Engineering, or a related field 1+ year in a Data Engineer or similar role Proficiency in SQL and Python (or another scripting More ❯

improve our technology stack. Develop oneself into a Subject Matter Expert (SME) on Technical and Functional domain areas. What we value Demonstrated experience in Python, PySpark and SQL (AWS Redshift, Postgres, Oracle). Demonstrated experience building data pipelines with PySpark and AWS. Application development experience in financial services with hands on designing, developing, and deploying complex applications.Demonstrated ability to More ❯