1 to 25 of 37 Amazon Redshift Jobs in the West Midlands

requirements. Design and develop scalable AWS architectures for API-based and data-centric applications. Define data pipelines, ETL processes, and storage solutions using AWS services such as S3, OpenSearch, Redshift, Step Functions, Lambda, Glue, and Athena. Architect RESTful APIs, ensuring security, performance, and scalability. Optimise microservices architecture and API management strategies, leveraging tools such as KONG Gateway, Lambda, and … with a strong focus on AWS cloud services. Expertise in API design, microservices architecture, and cloud-native development. Hands-on experience with AWS services including EKS, Lambda, DynamoDB, S3, Redshift, RDS, Glue, Athena. Strong knowledge of serverless architectures, event-driven patterns, and containerization. Experience designing and implementing secure, scalable, and high-availability architectures. Solid understanding of networking, security, authentication More ❯

real ownership You’ll need: Strong Python and SQL Solid AWS experience (Glue, Lambda, SQS, S3, etc.) Experience building/maintaining ETL pipelines Data modelling and warehousing knowledge (PostgreSQL, Redshift, Snowflake etc.) Self-starter mindset, you’ll get stuck in and find answers independently to bring back to the team Drive to want to own projects and put forwards More ❯

real ownership You’ll need: Strong Python and SQL Solid AWS experience (Glue, Lambda, SQS, S3, etc.) Experience building/maintaining ETL pipelines Data modelling and warehousing knowledge (PostgreSQL, Redshift, Snowflake etc.) Self-starter mindset, you’ll get stuck in and find answers independently to bring back to the team Drive to want to own projects and put forwards More ❯

is 100% remote and sits Outside of IR35. Must have technologies: Experience in an ETL toolset (Talend, Pentaho, SAS DI, Informatica, etc.) Snowflake Experience in a Database (Oracle, RDS, Redshift, MySQL, Hadoop, Postgres, etc.) Experience in data modelling (Data Warehouse, Marts) Job Scheduling toolset (Job Scheduler, TWS, etc.) Programming and scripting languages (PL/SQL, SQL, Unix, Java, Python More ❯

with a focus on data platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies More ❯

with a focus on data platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies More ❯

with a focus on data platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies More ❯

with a focus on data platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies More ❯

with a focus on data platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies More ❯

with a focus on data platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies More ❯

track record of working in growing data practices. Expertise in data architecture, data modelling, data analysis, and data migration. Strong knowledge of SQL, NoSQL, cloud-based databases (e.g., AWS Redshift, Snowflake, Google BigQuery, Azure Synapse). Experience in ETL development, data pipeline automation, and data integration strategies. Familiarity with AI-driven analytics Strong understanding of data governance, security, and More ❯

Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse … advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies. Collaborate with data … Mathematics, or a related field. 2.Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining More ❯

teams, and develop data-driven solutions to support business growth. Responsibilities: Collaborate with teams to understand objectives and define analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction, transformation, and loading. Apply statistical and machine learning techniques for predictive and pattern analysis. … Create dashboards and visualizations for decision-making using Amazon QuickSight. Conduct exploratory data analysis to uncover insights for product and engagement improvements. Work with data engineers on data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's degree in a relevant field. Experience as a Data Scientist, especially with AWS analytics services. Proficiency in AWS services … such as Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, and data visualization tools. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior analysis. Knowledge of big data technologies More ❯

functional teams to develop data-driven solutions that support business growth. Responsibilities Collaborate with teams to understand objectives, data needs, and analytics goals. Develop strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for diverse data sources. Apply statistical and machine learning techniques for predictive and segmentation analyses. Develop KPIs … and dashboards using Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Work with data engineers on data architecture, quality, and governance in AWS. Requirements Bachelor's or master's in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, preferably with AWS analytics. Proficiency in AWS services like Redshift More ❯

solutions and recommendations, shaping our data strategy and driving growth. Responsibilities: Understand business objectives, define data requirements, and set analytics goals. Develop data analysis strategies using AWS services like Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes from diverse sources into AWS. Apply statistical and machine learning techniques for predictive and segmentation analyses. Develop … KPIs and dashboards using Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Work with data engineers to optimize data architecture, quality, and governance. Requirements: Bachelor's or master's in Computer Science, Statistics, Mathematics, or related fields. Experience as a Data Scientist, preferably with AWS analytics. Proficiency in AWS services like Redshift More ❯

their work and facilitate access to social media opportunities. Responsibilities: Collaborate with teams to understand business objectives and define analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction, transformation, and loading into AWS. Apply statistical and machine learning techniques for predictive and … segmentation analyses. Develop KPIs and dashboards using Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, preferably with AWS analytics services. More ❯

data strategies and support business growth. Responsibilities Collaborate with teams to understand objectives, define data requirements, and set analytics goals. Develop and implement analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for diverse data sources. Apply statistical and machine learning techniques for predictive and pattern analyses. Identify key More ❯

modern data platforms for large organizations. Expect variety – you’ll work across cloud platforms like Azure, AWS, and GCP, leveraging tools such as Databricks, Data Factory, Synapse, Kafka, Glue, Redshift, BigQuery, and more. About You You’re an engineer at heart, with a passion for building efficient, scalable data systems. To succeed, you’ll need: Proficiency in object-oriented More ❯

with GDPR and industry regulations. What We’re Looking For 4+ years of experience in Python development (Flask, Django). Strong expertise in AWS cloud environments (EC2, S3, RDS, Redshift, Athena). Experience with SQL databases (PostgreSQL, SQLAlchemy). Knowledge of ETL pipelines, API development, and front-end technologies (HTML, CSS). Experience with Infrastructure as Code tools (Terraform More ❯

experience in Pyramid Analytics for data visualisation and analytics development. Good knowledge of data modelling and cloud data warehouse concepts. Experience working with cloud data platforms (e.g., Snowflake, AWS Redshift, Google Big Query). Excellent communication and collaboration skills. The ability to thrive in a high-pressure, fast-paced environment. Something to note... Here at Snap, our values drive More ❯

teams to develop data-driven solutions that support business growth. Responsibilities: Collaborate with teams to understand objectives and define analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction, transformation, and loading into AWS. Apply statistical and machine learning techniques for predictive and … pattern analyses. Develop KPIs and dashboards for decision-making using Amazon QuickSight. Perform exploratory data analysis to uncover insights for product and user behavior improvements. Work with data engineers on data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's degree in relevant fields. Experience as a Data Scientist in cloud environments, especially AWS. Proficiency in More ❯

scaling and optimization of these initiatives. The ideal candidate would have over 10 years of experience in Data Engineering/Architecture and possess strong knowledge in: Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return, they offer: Free Certification Scheme (ServiceNow More ❯

with the continued scaling and optimisation of these. Their ideal candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they would be offering Free Certification More ❯

with the continued scaling and optimisation of these. Their ideal candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they would be offering Free Certification More ❯

with the continued scaling and optimisation of these. Their ideal candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they would be offering Free Certification More ❯