17 of 17 Amazon Redshift Jobs in the South East

have skills and experience in the following: Cloud Data Architecture: Strong knowledge of modern, cloud-based data architecture and tooling (e.g., S3, Glue, Redshift, Athena, Lake Formation, Iceberg/Delta). AWS Platform Build: Demonstrable experience designing and building modern data platforms in AWS. ETL/Orchestration Expertise: Expertise ...

reconciliation checks Strong error handling, monitoring, and retry strategies in production pipelines Experience with incremental data processing patterns (CDC, watermarking, upserts) AWS Data Services Amazon S3: data lake architectures, partitioning strategies, lifecycle policies DynamoDB: data modeling, secondary indexes, streams, and performance optimization Amazon Redshift: foundational querying, integrations … performance considerations AWS Lambda for scalable data processing and orchestration Amazon EventBridge for event-driven and decoupled data pipelines Vector Databases & Embeddings Strong understanding of vector database concepts, indexing strategies, and performance trade-offs Design and implementation of embedding generation pipelines Optimization techniques for semantic search and retrieval accuracy ...

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 … technologies. Knowledge of SAP Business Objects would be helpful but not necessary - currently in use but in the process of migrating to Redshift & QuickSight. ...

Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life outside work ...

error handling and retry logic. Develop incremental data processing patterns for large-scale datasets. Work with AWS services including Glue, Step Functions, S3, DynamoDB, Redshift, Lambda, and EventBridge. Build and optimise vector database solutions and embedding generation pipelines for semantic search. Implement document processing workflows (PDF parsing, OCR, metadata ...

experience in managing complex data estates and developing automated data pipelines. Good understanding of testing principles and deployment processes. Experience with technologies such as Redshift, Airflow, DBT, and AWS. Strong grasp of data modelling, database architecture, and governance principles. Hands-on experience with Git and modern development workflows. Excellent ...

Essential Advanced SQL skills with strong data modelling expertise (facts, dimensions, semantic layers). Experience working with modern cloud data warehouses (e.g. BigQuery, Snowflake, Redshift). Hands-on experience with analytics engineering tools (e.g. dbt). Strong understanding of ELT pipelines and data transformation best practices. Ability to operate ...

work in a self-organising, fast-paced environment. Nice-to-Have Skills: ·Experience with GCP/BigQuery or other cloud data warehouses (e.g., Snowflake, Redshift). ·Familiarity with data orchestration tools (e.g., Airflow). ·Experience with data visualisation platforms (such as Preset.io/Apache Superset or other). ·Exposure ...

Financial Crime Compliance (FCC) , Anti-Money Laundering (AML), or Sanctions compliance data analysis. Familiarity with cloud data warehousing solutions (e.g., Snowflake, Google BigQuery, AWS Redshift). Experience with advanced statistical modeling or machine learning techniques applied to financial data. About Barclays Barclays is a British universal bank, diversified ...

Promote self-service analytics and data literacy across the business. Act as an expert in SQL across technologies like Postgres, Cloud SQL, BigQuery, and Redshift . Build and orchestrate pipelines using Airflow . Support IaC and CI/CD best practices via GitHub. Work closely with data engineers, analysts ...

marketing or customer analytics exposure. Strong SQL skills with experience in dbt or similar modelling frameworks. Experience with modern cloud data warehouses (BigQuery, Snowflake, Redshift, etc.). Skilled in dashboarding tools (Looker, Power BI, etc.). Comfortable working with Marketing/User Acquisition teams. Understanding of advertising platform constraints ...

Airflow and dbt to support scalable, high-quality analytics layers. You'll help architect and evolve cloud-based data platforms across technologies like BigQuery, Redshift, and Terraform. You'll contribute to creating a standardised, self-serve data infrastructure that can be adopted across multiple international teams. You'll also ...

additional BI tools: Power BI, Tableau, Qlik . Customer-facing migration experience (discovery planning execution operations). Strong SQL across multiple RDBMS (MySQL, PostgreSQL, Redshift, Oracle) plus scripting in Python/R . Excellent communication, presentation, and problem-solving skills. Why Apply? Work on leading-edge data transformation ...

Adobe Dynamic Tag Manager) changes. Integrate data sources via web and REST APIs. Data pipping and modelling using SQL, DBT, Airflow, ETL, Data Warehousing, Redshift and Python. Transfer knowledge of the business processes and requirements to the development teams. Collaborate with Product, Marketing and Development teams to collect business ...

computer skills, including proficiency in MS Office Suite (Word, Excel, Powerpoint), experience using CRM software (e.g., Salesforce) and cloud data platforms such as Snowflake, Amazon Redshift etc. Organization and Time Management: Exceptional organizational skills, attention to detail, and the ability to multitask and prioritise a demanding workload effectively. ...

distributing tasks across the team Tech Stack Languages/Frameworks: Typescript, React, React Native, Node.js, PHP, Python, SQL, Postgres, Redis AWS: ECS, IoT Core, Redshift, Lambda, CodeBuild, CloudWatch, SNS, Cognito Git, JIRA, Postman, Confluence ...

technical requirements. Using SQL to analyse datasets, identify trends, validate assumptions, and support data-driven decisions. Working with AWS-based data platforms (e.g., S3, Redshift, Lambda, Glue) to support discovery, design and solution shaping. Mapping current and future-state processes, identifying gaps, inefficiencies, and opportunities for automation. Working with … data-driven or cloud-heavy environments. Hands-on SQL skills for querying, profiling, and analysing data. Practical exposure to AWS services (e.g., S3, Redshift, EC2, Lambda, RDS, Glue). Experience with data governance, information security, or privacy workflows. Knowledge of or direct involvement in Data Protection Impact Assessments (DPIAs ...