13 of 13 Amazon Redshift Jobs in the City of London

modular, efficient, and scalable data pipelines. Deep expertise in data modeling for both relational databases and data warehouses, including Star and Snowflake schema designs. Extensive experience working with AWS Redshift and Aurora for data warehousing and transactional workloads. Experience using dbt (Data Build Tool) for building modular, version-controlled, and testable data transformation workflows, with a strong understanding of More ❯

modular, efficient, and scalable data pipelines. Deep expertise in data modeling for both relational databases and data warehouses, including Star and Snowflake schema designs. Extensive experience working with AWS Redshift and Aurora for data warehousing and transactional workloads. Experience using dbt (Data Build Tool) for building modular, version-controlled, and testable data transformation workflows, with a strong understanding of More ❯

What We're Looking For Hands-on Palantir Foundry expertise or transferable, client facing data engineering experience with large-scale data platforms such as: Snowflake, Databricks, AWS Glue/Redshift, Google BigQuery Software engineering skills in Python, Java, or TypeScript/React. Strong data modelling, pipeline development, and API design experience. Excellent problem-solving and communication skills. Why This More ❯

communicator - able to engage with both technical and non-technical colleagues. Nice to Have Skills Experience working with GCP (BigQuery) or other modern cloud-native data warehouses (e.g. Snowflake, Redshift). Familiarity with data pipelining and orchestration systems (e.g. Airflow). Understanding of modern analytics architectures and data visualisation tools (we use Preset.io/Apache Superset). Exposure to More ❯

communicator - able to engage with both technical and non-technical colleagues. Nice to Have Skills Experience working with GCP (BigQuery) or other modern cloud-native data warehouses (e.g. Snowflake, Redshift). Familiarity with data pipelining and orchestration systems (e.g. Airflow). Understanding of modern analytics architectures and data visualisation tools (we use Preset.io/Apache Superset). Exposure to More ❯

Skillset Delivery experience Building solutions in snowflake implementing data warehousing solutions using Snowflake and AWS Hands-on experience with AWS services such as Glue (Spark), Lambda, Step Functions, ECS, Redshift, and SageMaker. Enthusiasm for cross-functional work and adaptability beyond traditional data engineering. Examples like building APIs, integrating with microservices, or contributing to backend systems - not just data pipelines … strong hands-on programming skills and software engineering fundamentals, with experience building scalable solutions in cloud environments (AWS preferred) Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Solid foundation in software engineering principles, including version control (Git), testing, CI/CD, modular design, and clean code practices. Experience developing reusable components and APIs … preferred for data processing, automation, and pipeline development AWS or Snowflake certifications are a plus Hands-on experience with AWS services such as Glue (Spark), Lambda, Step Functions, ECS, Redshift, and SageMaker. Enthusiasm for cross-functional work and adaptability beyond traditional data engineering. Examples like building APIs, integrating with microservices, or contributing to backend systems - not just data pipelines More ❯

re Looking For Strong technical foundation with proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses (BigQuery, Snowflake, Redshift). Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience More ❯

Azure SQL Tableau/Power BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift, Informatica, Qlik or similar are also useful, and you will be open-minded to learning new skills. Experience in Oracle OBIEE and/or Oracle Analytics Cloud is also More ❯

an experienced Data Engineer with expertise in AWS cloud technologies to design and build ETL pipelines , data warehouses , and data lakes . Key Skills: AWS services like EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB (or equivalent open-source tools). Note: We require candidates who are eligible for SC Clearance or possess a higher level of clearance. More ❯

greatly enhance the capabilities of emergency services, allowing them to share vital data and information quickly and securely, improving response times and overall public safety. Required Skills Data Stage, RedShift, QuickSight, S3 data migration/ETL both batch and real time data warehouse development DevSecOps Java SQL relational databases GitHub/lab experience Nice to have: Data quality xml More ❯

with a focus on data projects You have experience of establishing data analytics and supporting AI solutions You have a good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions) You have advanced client and stakeholder management skills What's in it for you 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 ❯

Job Title: AWS Glue and Redshift Developer Location: Central London (On Site 2-3 days per week) Salary/Rate: Up to £385 per day (Inside IR35) Start Date: 01/10/2025 - contract running until 31/12/2025 Company Introduction We are currently looking for an experienced cloud data developer to join a forward-thinking … and efficient solutions. Job Responsibilities/Objectives: Creating and maintaining ETL/ELT workflows with AWS Glue to process data from a variety of sources. Setting up and administering Redshift clusters, ensuring cost-effective scaling and high performance. Developing robust SQL queries, procedures, and transformations to support reporting and analytics. Ensuring accuracy, quality, and governance standards are met across … affecting pipeline performance or data integrity. Contributing to continuous improvements in architecture by keeping pace with AWS innovations. Required Skills/Experience: Strong practical knowledge of AWS Glue and Redshift, including data catalogues, pipelines, and stored procedure development. Advanced SQL expertise, covering query optimisation, analytics functions, and transformation design. Solid programming skills in Python, Java, Node.js or .NET. Familiarity More ❯