26 to 50 of 229 Amazon Redshift Jobs in England

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

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

data analysis, machine learning, and data visualization. In-depth knowledge of cloud platforms (AWS, Azure, Google Cloud) and related data services (e.g., S3, BigQuery, Redshift, Data Lakes). Expertise in SQL for querying large datasets and optimizing performance. Experience working with big data technologies such as Hadoop, Apache Spark More ❯

data analysis, machine learning, and data visualization. In-depth knowledge of cloud platforms (AWS, Azure, Google Cloud) and related data services (e.g., S3, BigQuery, Redshift, Data Lakes). Expertise in SQL for querying large datasets and optimizing performance. Experience working with big data technologies such as Hadoop, Apache Spark More ❯

preferred) Experience with cloud platforms (AWS/Azure) Solid understanding of data architecture, modelling, and ETL/ELT pipelines Experience using tools like Databricks, Redshift, Snowflake, or similar Comfortable working with APIs, CLIs, and orchestration tools like Airflow Confident using Git and familiar with CI/CD processes (Azure More ❯

preferred) Experience with cloud platforms (AWS/Azure) Solid understanding of data architecture, modelling, and ETL/ELT pipelines Experience using tools like Databricks, Redshift, Snowflake, or similar Comfortable working with APIs, CLIs, and orchestration tools like Airflow Confident using Git and familiar with CI/CD processes (Azure More ❯

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 More ❯

structured and unstructured data from multiple sources, ensuring efficient data ingestion, transformation, and storage. Develop and optimize data lake and data warehouse solutions using Amazon S3, Redshift, Athena, and Lake Formation. Implement data governance, security, and compliance best practices, including IAM roles, encryption, and access controls. Monitor and … focus on AWS cloud technologies. Proficiency in Python, PySpark, SQL, and AWS Glue for ETL development. Hands-on experience with AWS data services, including Redshift, Athena, Glue, EMR, and Kinesis. Strong knowledge of data modeling, warehousing, and schema design. Experience with event-driven architectures, streaming data, and real-time More ❯

. Strong analytic skills related to working with unstructured datasets. Engineering best practices and standards. Experience with data warehouse software (e.g. Snowflake, Google BigQuery, Amazon Redshift). Experience building and optimising pipelines and ETL/ELT workflows. Working knowledge of data warehouse technologies (Snowflake, BigQuery). Code versioning More ❯

mobile app development, SQL, ETL or data pipelines, and data analysis. You have experience with cloud data warehouses/lakes including Snowflake, Databricks, BigQuery, Redshift, S3, and ADLS. You have experience with AWS, GCP, and/or Azure cloud services. You have strong technical skills and experience with data More ❯

on experience working with visualization tools including ThoughtSpot, Power BI or Tableau. Familiarity with leading cloud-based data warehouses such as Azure, BigQuery, AWS Redshift, or Snowflake. Strong analytical and problem-solving abilities to address complex data challenges. Detail-oriented mindset with a focus on data accuracy and quality. More ❯

and unstructured data from diverse sources. Strong knowledge of SQL/NoSQL databases and cloud data warehouse technology such as Snowflake/Databricks/Redshift/BigQuery, including performance tuning and optimisation. Understanding of best practices for designing scalable and efficient data models, leveraging dbt for transformations. Familiarity with More ❯

physical). • Proficiency in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). • In-depth knowledge of data warehousing concepts and tools (e.g., Redshift, Snowflake, Google BigQuery). • Experience with big data platforms (e.g., Hadoop, Spark, Kafka). • Familiarity with cloud-based data platforms and services (e.g., AWS More ❯

Amazon Music is awash in data! To help make sense of it all, the DISCO (Data, Insights, Science & Optimization) team: (i) enables the Consumer Product Tech org make data driven decisions that improve the customer retention, engagement and experience on Amazon Music. We build and maintain automated self … and provides independence to generate valuable insights in a fast, agile, and accurate way. This domain provides analytical support for the below topics within Amazon Music: Programming/Label Relations/PR/Stations/Livesports/Originals/Case & CAM. DISCO team enables repeatable, easy, in depth analysis … the cost in time and effort of analysis, data set building, model building, and user segmentation. Our goal is to empower all teams at Amazon Music to make data driven decisions and effectively measure their results by providing high quality, high availability data, and democratized data access through self More ❯

Business Intelligence Engineer, Amazon Last Mile Come help Amazon create cutting-edge data and science-driven technologies for delivering packages to the doorstep of our customers! The Last Mile Routing & Planning organization builds the software, algorithms, and tools that make the "magic" of home delivery happen: our flow … decisions needed to plan and execute safe, efficient, and frustration-free routes for drivers around the world. Our team supports deliveries (and pickups!) for Amazon Logistics, Prime Now, Amazon Flex, Amazon Fresh, Lockers, and other new initiatives. As part of the Last Mile Science & Technology organization, you … ll partner closely with Product Managers, Data Scientists, and Software Engineers to drive improvements in Amazon's Last Mile delivery network. You will leverage data and analytics to generate insights that accelerate the scale, efficiency, and quality of the routes we build for our drivers through our end-to More ❯

maintain AWS best Practises. Establish Cloud Governance policies and procedures. Work closely with Data Team on required platform integrations using data analytics tools like Redshift, Athena and Glue. Work closely with Technical Architects on Low Level designs and implementations in line with the companies policies. Work closely with the More ❯

processes and database management systems (e.g., MySQL, PostgreSQL, MongoDB). Hands-on experience with AWS services for data processing, storage and analysis (e.g., S3, Redshift, EMR, Glue). Familiarity with programming languages such as Python or Java. Understanding of data warehousing concepts and data modeling techniques. Experience working with More ❯

of cloud infrastructure security practices, including data privacy, model security, and compliance standards like GDPR and SOC 2. Familiarity with AWS big data tools (Redshift, Glue, EMR) for processing large datasets to support machine learning models. Preferred Qualifications: AWS Certified Machine Learning - Specialty or other relevant certifications. Experience with More ❯

new technologies Develop new tools and infrastructure using Python (Flask/Fast API) or Java (Spring Boot) and relational data backend (AWS - Aurora/Redshift/Athena/S3) Support users and operational flows for quantitative risk, senior management and portfolio management teams using the tools developed Qualifications/ More ❯

processes and database management systems (e.g., MySQL, PostgreSQL, MongoDB). Hands-on experience with AWS services for data processing, storage and analysis (e.g., S3, Redshift, EMR, Glue). Familiarity with programming languages such as Python or Java. Understanding of data warehousing concepts and data modeling techniques. Experience working with More ❯

significant exposure to large-scale data architectures and cloud-based solutions. Has the following technical skills: Expert-level proficiency in SQL (e.g., MySQL, PostgreSQL, Redshift) and NoSQL databases (e.g., MongoDB, Cassandra). Proficiency in one or more programming languages (e.g., Python, Scala, Java) for data integration, automation, and problem More ❯

and data standards to ensure alignment across teams Experience Experience in a similar analytics engineeringrole Strong SQL skills and experience with data warehouses (e.g., Redshift, Snowflake, BigQuery) Proficiency with dbt or similar data transformation tools Experience with BI tools (e.g., Tableau, Looker) for creating reports and dashboards Knowledge of More ❯

services regulations (PCI DSS, FCA, GDPR). Database & Data Services: Expertise in how data services connect, function and integrate within AWS, such as Athena, Redshift and Aurora. AWS Contact Platform Services: Hands-on experience with AWS Connect and related services such as Lens and Kinect. Coding & Automation: Proficiency in More ❯

services regulations (PCI DSS, FCA, GDPR). Database & Data Services: Expertise in how data services connect, function and integrate within AWS, such as Athena, Redshift and Aurora. AWS Contact Platform Services: Hands-on experience with AWS Connect and related services such as Lens and Kinect. Coding & Automation: Proficiency in More ❯

recommend improvements for data ownership and stewardship. Qualifications Programming: Python, SQL, Scala, Java. Big Data: Apache Spark, Hadoop, Databricks, Snowflake, etc. Cloud: AWS (Glue, Redshift), Azure (Synapse, Data Factory More ❯