19 of 19 Amazon Redshift Jobs in the South East

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 ❯

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 ❯

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 ❯

Mentor junior consultants Build strong customer relationships Support managed services as required Essential Requirements 3+ years consulting/managed services experience Solid Data Lake experience with AWS data solutions (Redshift, Glue, Athena, Lake Formation) Advanced AWS skills (EC2, S3, VPC, IAM, Lambda) Infrastructure as Code experience (CloudFormation/Terraform) AWS Solutions Architect Associate certification Strong communication and presentation abilities More ❯

data-focused SRE, Data Platform, or DevOps role*Strong knowledge of Apache Flink, Kafka, and Python in production environments*Hands-on AWS experience with AWS (Lambda, EMR, Step Functions, Redshift, etc.)*Comfortable with monitoring tools, distributed systems debugging, and incident response Reference Number: BBBH259303 To apply for this role or for to be considered for further roles, please click More ❯

to-end data flow diagrams, logical data models, and entity relationship diagrams (ERDs). Design scalable, secure, and robust data architectures on AWS, incorporating services such as S3, Glue, Redshift, RDS, and Lambda. Work with stakeholders to understand business and data requirements and translate them into architectural blueprints. Ensure data architecture complies with government standards for security, interoperability, and More ❯

secure handling and movement of data across enterprise environments Desirable Knowledge of data storage systems, including RDBMS (e.g., MySQL, PostgreSQL), NoSQL (e.g., MongoDB, Cassandra), and data warehouse solutions (e.g., Amazon Redshift, Google BigQuery) Familiarity with data exchange technologies and protocols such as APIs, ETL processes, and data replication Understanding of cloud storage services offered by AWS, Microsoft Azure More ❯

the global energy markets into a reality. You would work as part of a team on a cutting-edge Microservices architecture and using TypeScript/Express/AWS Lambdas, Redshift, MySQL, MongoDB and Micro-frontends built on React. This will allow you to take responsibility for solutions from design to deployment. You will be working with processes and tooling More ❯

or insurance. Strong technical skills in Python or R, and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with More ❯

and product funnel performance Present findings to senior stakeholders and help define next steps Improve profitability and efficiency across user journeys - both customer and partner side Tools & Environment: SQL , Redshift , Looker Collaborative product-focused teams, embedded in a modern data stack What we're looking for: Solid experience in analytics or data roles within a fast-paced tech or More ❯

ideal candidate must have: Strong experience as an AWS Data Engineer Software Engineering background Coding lanuguages Java, Scala, C# or Python Lead the design and implementation of Snowflake [and Redshift] based data warehousing solutions within an AWS environment Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Develop and optimize ETL processes using More ❯

our in-house GPU cluster. Orchestrate Workflows with Apache Airflow: schedule, monitor, and maintain complex data and model pipelines. Engineer Cloud Services on AWS (Lambda, ECS/EKS, S3, Redshift, etc.) and automate deployments using GitHub Actions & Pulumi. Collaborate & Brainstorm with our engineering team we frequently communicate ideas to innovate, plan strategy and decide on next steps. Own Your … proactive, resourceful, ambitious, driven to innovate, eager to learn, and comfortable wearing multiple hats in a fast-moving environment. Desirable: hands-on experience with Apache Airflow, AWS services (especially Redshift, S3, ECS/EKS), and IaC tools like Pulumi. Why Permutable AI? Hybrid Flexibility: Spend 2+ days/week in our Vauxhall hub. Real Responsibility: From day one, your More ❯

Requirements Demonstrable experience within consulting/managed service environments Strong experience in building, configuring and optimising the Data Lakes environment Extensive experience in Landing Zones/Transit Gateways/Redshift/Firehose/CloudTrail/Workspaces Experience creating design documentation Experience within Linux based environments Strong understanding of AWS Data Lake solutions and AWS Redshift AWS Certified Solutions More ❯

proficiency in Python and SQL; experience with R is a plus. Solid understanding of statistical techniques and machine learning algorithms. Experience with cloud platforms and services (AWS, EC2, S3, Redshift, Azure). Familiarity with tools like PowerBI and Excel for stakeholder reporting. Experience in industries with large consumer marketplaces (e.g. programmatic media, travel, financial services) is a plus. Excellent … problem-solving skills and a collaborative mindset. Our Tech Stack AWS (current environment) Redshift Postgres DBT Grafana PowerBI Note: The company is transitioning towards Azure for new development. Why Join Us? At Kantar, you'll be part of a global leader in data, insights, and consulting. You'll work on meaningful challenges, contribute to cutting-edge solutions, and help More ❯

Data Prodict Manager: We are seeking a dynamic and driven Data Operations Manager to lead a team of data engineers. You will oversee the daily operations of our data infrastructure and ensure the accuracy, availability, and security of data across More ❯

deployment of cutting-edge machine learning models and ensure data integrity across the organisation. Specifically, you will: Drive the implementation of AI/ML solutions using Python and AWS Redshift Develop and enforce a robust data governance framework to secure and optimise data usage Collaborate with stakeholders to align data strategy with business goals and compliance requirements SKILLS AND … professionals in regulated industries Proven experience scaling data functions from early stages to maturity Strong understanding of AI/ML technologies and data governance best practices Experience with AWS (Redshift) and Python Strategic mindset with the ability to engage senior stakeholders and lead cross-functional initiatives BENEFITS The successful Head of Data & AI will receive the following benefits: Competitive More ❯