101 to 125 of 231 Amazon Redshift Jobs in England

Business Intelligence Engineer II, ORBIT - Amazon Logistics Japan Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to … deliver it to you? If so, the World Wide Amazon Logistics, Last Mile team is for you. We manage the delivery of tens of millions of products every week to Amazon's customers, achieving on-time delivery in a cost-effective manner to deliver a smile for our … customers. Amazon Logistics is looking for a customer focused, innovative and technically skilled Sr. Business Intelligence Engineer to drive effective performance measurement and management, innovation and execution in last mile delivery. This position will be responsible for building out analysis and visualization tools and processes' to support our growing More ❯

SQL, data warehousing, and data storing Highly skilled with ETL processes, data warehousing, and data storing Exposure to cloud-based data platforms such as Redshift 2+ years’ commercial experience within Data Engineering and/or Data Science More ❯

SQL, data warehousing, and data storing Highly skilled with ETL processes, data warehousing, and data storing Exposure to cloud-based data platforms such as Redshift 2+ years’ commercial experience within Data Engineering and/or Data Science More ❯

engineering, AI/ML fundamentals, and data platform architecture. Experience with or exposure to Starburst, Dell Data Lakes, and Data Warehousing technologies (e.g., Snowflake, Redshift, BigQuery). Excellent communication and presentation skills, capable of breaking down complex topics into actionable insights. Organized, adaptable, and confident delivering training across time More ❯

engineering, AI/ML fundamentals, and data platform architecture. Experience with or exposure to Starburst, Dell Data Lakes, and Data Warehousing technologies (e.g., Snowflake, Redshift, BigQuery). Excellent communication and presentation skills, capable of breaking down complex topics into actionable insights. Organized, adaptable, and confident delivering training across time More ❯

engineering, AI/ML fundamentals, and data platform architecture. Experience with or exposure to Starburst, Dell Data Lakes, and Data Warehousing technologies (e.g., Snowflake, Redshift, BigQuery). Excellent communication and presentation skills, capable of breaking down complex topics into actionable insights. Organized, adaptable, and confident delivering training across time More ❯

engineering, AI/ML fundamentals, and data platform architecture. Experience with or exposure to Starburst, Dell Data Lakes, and Data Warehousing technologies (e.g., Snowflake, Redshift, BigQuery). Excellent communication and presentation skills, capable of breaking down complex topics into actionable insights. Organized, adaptable, and confident delivering training across time More ❯

with deep learning frameworks like TensorFlow, Keras, PyTorch, MXNet. - Fluency in written and spoken English. PREFERRED QUALIFICATIONS - Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue). - PhD or Master's degree in Computer Science, or related technical, math, or scientific field. - Proven knowledge of Generative AI More ❯

Compose & Enterprise Manager. To be successful, you must demonstrate: Experience supporting and administering SAS Analytics Experience administering and configuring Informatica Knowledge of SSIS, AWS Redshift, AWS concepts & practices, Agile methodologies, ServiceNow, and Jira Knowledge of SQL Server databases, supporting applications within AWS and Azure, and understanding systems management procedures More ❯

as required by the business Oversee the investigation/development of new methods for data analysis such as AI Essential criteria: Power BI, Azure, Redshift, Databases, Power Platform, Dev Ops, SQL Design and development of Power BI artefacts and environments Numerical analysis methods Stakeholder management and consensus building Working More ❯

/or others for prompt and model optimisations. Comfortable working with databases (relational & vector), and large-scale data sets and pipelines (e.g. AWS Glue, Redshift, RDS, Pinecone, Opensearch). Hands-on experience with AI Cloud Infrastructure for MLOps (e.g. Google Vertex AI/AWS Bedrock), including deploying AI applications More ❯

Data Engineer, Amazon Web Services, AWS Data Platform 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 services and features … cloud services. Each day, thousands of developers make trillions of transactions worldwide on our cloud. Almost all of them are harnessing the power of Amazon Web Services (AWS) to enable innovative applications, websites, and businesses. We store all these transactions for analysis and reporting. Amazon Web Services is … customers. We are truly leading the way to disrupt the data warehouse industry. We are accomplishing this vision by leveraging relational database technologies like Redshift along with emerging Big Data technologies like Elastic Map Reduce (EMR) to build a data platform capable of scaling with the ever-increasing volume More ❯

Data Engineer, you'll design and maintain ETL pipelines integrating data from sources like Facebook, Google Analytics, and payment providers. Using tools like AWS Redshift, S3, and Kafka, you'll optimize data models for batch and real-time processing. Collaborating with stakeholders, you'll deliver actionable insights on player … APIs like Facebook, Google Analytics, and payment providers. Develop and optimize data models for batch processing and real-time streaming using tools like AWS Redshift, S3, and Kafka. Lead efforts in acquiring, storing, processing, and provisioning data to meet evolving business requirements. Perform customer behaviour analysis, gaming analytics, and … roles, with a proven ability to lead and mentor a team. Expertise in SQL, Python, and R. Strong proficiency in AWS technologies such as Redshift, S3, EC2, and Lambda. Experience with Kafka and real-time data streaming technologies. Advanced skills in building ETL pipelines and integrating data from APIs. More ❯

maintain curated data layers to support reporting, analytics, and decision-making Ensure high availability, scalability, and performance of data warehouse systems (cloud-based, e.g., Redshift) Develop & Manage Data Products: Collaborate with business and domain experts to define and deliver high-value, reusable data products Implement best practices around versioning … as a Data Engineer, with a strong focus on data warehousing and data modeling Hands-on experience with cloud-native data tech (preferably AWS: Redshift, Glue, S3, Lambda, IAM, Terraform, GitHub, CI/CD) Proficiency in SQL and Python for data processing and automation Experience working with data modeling More ❯

modern technologies and cloud solutions to develop analytics products? DSP Analytics team has an exciting opportunity for a Business Intelligence Engineer (BIE) to improve Amazon's Delivery Service Partner (DSP) program through impactful data solutions. The goal of Amazon's DSP organization is to exceed the expectations of … ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually striving to innovate and provide best in class delivery experience through the introduction of pioneering new products and services in the last … rigor to simplify and inform the larger team of noteworthy trends that impact the business. Retrieve and analyze data using a broad set of Amazon's data technologies (ex. Redshift, AWS S3, Amazon Internal Platforms/Solutions) and resources, knowing how, when, and which to use. Earn More ❯

Business Intelligence Engineer, Amazon Payments Amazon Payment team creates and manages a global portfolio of products, including co-branded credit cards, installment financing, third party redemptions, and financial services marketplaces. Within this team we are looking for a BIE specifically for supporting Japan Payment Products. We are looking … operations, and marketing decisions. Interfacing with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL (Redshift, Oracle) and ability to use a programming and/or scripting language to process data for modeling. Evolve organization-wide Self-Service platforms. Building … ambiguous projects with incomplete or dirty data. - Knowledge and direct experience using business intelligence reporting tools such as Tableau/QuickSight. - Experience working with Redshift, Cradle or other AWS tools is a plus. Hands-on experience with Python, R is a plus. Our inclusive culture empowers Amazonians to deliver More ❯

bricks · One or more of the following key technology skills: o Systems integration, APIs – REST, SOAP etc o SQL Server Integration Services (SSIS) o Amazon RedShift o Azure Synapse o SQL Server o Oracle Database o Oracle Data Integrator o Oracle Integration Cloud o Business Objects Data Services More ❯

integration, particularly using Typescript 5+ years of experience with HTML, CSS/SCSS and JavaScript Proficient in SQL and NoSQL databases, including Aurora Postgres, Redshift, DynamoDB Experience with Python, PHP, and NodeJS development Familiarity with AWS services, including but not limited to, S3, CloudWatch, and CloudFormation templating More ❯

integration, particularly using Typescript 5+ years of experience with HTML, CSS/SCSS and JavaScript Proficient in SQL and NoSQL databases, including Aurora Postgres, Redshift, DynamoDB Experience with Python, PHP, and NodeJS development Familiarity with AWS services, including but not limited to, S3, CloudWatch, and CloudFormation templating More ❯

depth. Your Experience Proven experience as a Data Architect or senior-level Data Consultant in cloud transformation projects. AWS expertise across data services (e.g., Redshift, Glue, Lake Formation, S3, etc.). Strong grasp of data strategy, governance, and architecture best practices in cloud environments. Experience working across business domains More ❯

depth. Your Experience Proven experience as a Data Architect or senior-level Data Consultant in cloud transformation projects. AWS expertise across data services (e.g., Redshift, Glue, Lake Formation, S3, etc.). Strong grasp of data strategy, governance, and architecture best practices in cloud environments. Experience working across business domains More ❯

Work model: Hybrid Status: Full-Time, Permanent Responsibilities: Design, develop, and maintain scalable ETL pipelines using AWS services such as Glue, Lambda, S3, and Redshift Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data availability and integrity Implement and optimize data storage solutions … plus 5+ years of experience in data engineering with a focus on AWS services Strong experience with AWS services such as S3, Glue, Lambda, Redshift, DynamoDB, and Athena Proficiency in programming languages such as Python, Java, or Scala Experience with SQL and NoSQL databases Familiarity with data warehousing concepts More ❯

Develop APIs and microservices and dbt to integrate RAG capabilities with existing data sources (mainly user behaviour data, metadata and semantic layer, stored in Redshift, but also other sources e.g. HR systems, legal repositories, SharePoint, etc.). Manage and optimize LibreChat UI and Openweb UI Pipelines for chatbot interactions. … Python, FastAPI, Flask, or Node.js for backend API development. Experience with LLM-based architectures, retrieval-augmented generation (RAG), and NLP techniques. Proficiency in SQL, Redshift, and data warehousing concepts. Experience integrating structured and unstructured data sources for AI-driven applications. Knowledge of dbt, metadata management, and semantic search. Familiarity More ❯

Role: Data Lead Location: Knutsford Contract Role Job Description: AWS Services: Glue, Lambda, IAM, Service Catalogue, Cloud Formation, Lake Formation, SNS, SQS, Event Bridge Language & Scripting: Python and Spark ETL: DBT Good to Have: Airflow, Snowflake, Big Data (Hadoop), and More ❯

that pushes the boundaries of modern technology? If you answered yes and you have a background in FinTech you'll love this role and Amazon's data obsessed culture. Amazon Devices and Services Fintech is the global team that designs and builds the financial planning and analysis tools … for a wide variety of Amazon's new and established organisations. From Kindle to Ring and even new and exciting companies like Kuiper (our new interstellar satellite play) this team enjoys a wide variety of complex and interesting problem spaces. They are almost like FinTech consultants embedded in Amazon. … service analytics tools BASIC QUALIFICATIONS Bachelor's degree in Computer Science, Engineering, Mathematics, or related field 5+ years of analysing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualisation using Tableau, Quick sight, or similar tools Experience independently leading and delivering end-to-end analytics More ❯