1 to 25 of 230 Amazon Redshift Jobs in the UK

the latest data analytics technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services, we're hiring highly technical cloud architect specialised in data analytics to collaborate with our customers and partners to derive business value … Key job responsibilities Expertise - Collaborate with pre-sales and delivery teams to help partners and customers learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker and Amazon Quicksight. Solutions - Deliver technical engagements with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings. Delivery - Engagements include projects proving the use More ❯

the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we're hiring highly technical data architects to collaborate with our customers and partners on key engagements. Our consultants will develop … pre-sales, training and support teams to help partners and customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB, QuickSight, Amazon EMR and Amazon Redshift. Since this is a customer facing role, you might be required to travel to client locations and deliver professional … If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's More ❯

for an experienced Senior Data Engineer to start ASAP for a leading Financial Services client in Watford, ideally you come from a similar background. Amazon Redshift and AWS Glue are essential for this role - You must have experience of these in a commerical setting. Hybrid working Salary - Between … Depending on experience Key skills/experience • 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 … with JIRA & Confluence. • Knowledge of SAP Business Objects would be helpful but not necessary - currently in use but in the process of migrating to Redshift & QuickSight. Our clients pride themselves on hiring the best in the industry, in return they offer a salary of somewhere between £80,000 to More ❯

Marketing Business Analyst, Amazon Publishing Job ID: Amazon UK Services Ltd. Amazon Publishing is seeking a data-driven, author- and reader-obsessed leader to fill the position of Business Analyst. The successful candidate will be thoughtful, analytical, and have a demonstrated ability to effectively influence the decisions … to deliver business recommendations are key. The role operates in a fast-paced, global, results-oriented environment, and provides decision support and advice for Amazon Publishing leaders. Amazon Publishing is the full-service publishing arm of Amazon. We publish emerging, bestselling and critically-acclaimed authors in digital, print … concept to completion Experience using data and metrics to measure impact and determine improvements Experience in marketing or marketing research PREFERRED QUALIFICATIONS Experience in Amazon Redshift and other AWS technologies Experience with Tableau, Quicksight or a similar data visualization tool Analytical mindset and ability to see the big More ❯

And future opportunities) *To be successful in this role we are looking for someone who is particularly strong in Oracle Data Integrator (ODI) or Amazon Redshift/AWS - Or ideally both :) This can be offered as "mostly remote" however you will need to be comfortable going to the … scratch Oracle Databases and hopefully experience of ODI (Oracle Data Integrator) (Can be learnt in role) Experience in AWS, perhaps some Informatica/SSIS Amazon Redshift - this can be learnt if not used as yet Perhaps exposure to S3 Experience in Data Integration, APIs and Storage solutions Comfortable More ❯

SQLAlchemy, GitLab, Athena. Your Trusted Companions : Docker, Snowflake, MongoDB, Relational Databases (eg MySQL, PostgreSQL), Dagster, Airflow/Luigi, Spark, Kubernetes. Your AWS Kingdom : Lambda, Redshift, EC2, ELB, IAM, RDS, Route53, S3-the building blocks of cloud mastery. Your Philosophy : Continuous integration/deployments, (CI/CD) automation, rigorous code More ❯

Amazon Marketing team is working on a platform that will provide real-time insights of traffic, sales, deals, engagement and is looking for a rock star data engineer to build this. At Amazon, understanding customer data is paramount to our success in making it Earth's most measurably … effective marketing organization. This cuts across all of the investments we do across various verticals of A.in, Prime, Fashion, Fresh, Pay etc. At Amazon you will be working in one of the world's largest and most complex data environments. You will be part of a team that will … work with the marketing, retail, finance, analytics, machine learning, and technology teams to provide real-time data processing solutions that give Amazon leadership, marketers, and PMs timely, flexible, and structured access to customer insights. The team will be responsible for building this platform end to end using the latest More ❯

development and implementation of complex data pipelines and ETL/ELT processes using cloud-native technologies (e.g. AWS Glue AWS Lambda AWS S3 AWS Redshift AWS EMR). Develop and maintain data quality checks data validation rules and data lineage documentation. Collaborate with data analysts data scientists business stakeholders More ❯

Talend and SnapLogic for streamlined pipeline development. Strong experience working with cloud-based data services, especially within AWS environments, utilizing tools like Lambda, S3, Redshift, Glue, Athena and Secrets Manager. Skilled in building modern data warehouses on platforms like Amazon Redshift, Snowflake, or Databricks. If you are More ❯

from various sources into AWS data stores for both batch and streaming data ingestion. AWS Expertise: Utilize your expertise in AWS services such as Amazon EMR, S3, AWS Glue, Amazon Redshift, AWS Lambda, and more to build and optimize data solutions. Data Modeling: Design and implement data … a related field. 5 to 8 years of experience in data engineering, including working with AWS services. Proficiency in AWS services like S3, Glue, Redshift, Lambda, and EMR. Knowledge of Cloudera-based Hadoop is a plus. Strong ETL development skills and experience with data integration tools. Knowledge of data More ❯

Business Intelligence Engineer II, Amazon Grocery Data and Tech At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. We are looking for a Business Intelligence Engineer in the Amazon Grocery Data … multiple analytical solutions. You will be responsible for delivering some of our most strategic analytics initiatives. You will create insights that support all of Amazon's grocery businesses and have a significant impact on Amazon's top-line and competitive position. A successful candidate will bring deep technical … rapidly deliver services that have a broad business impact. They will define metrics to measure business performance and drive efficiency improvements. About the team Amazon Grocery Data and Technology (GDT) team is the central data team for Amazon Grocery, consisting of engineering teams (BIEs/DEs/SDEs More ❯

experience in data engineering (5+ years), with at least 2 in a people leadership role. Hands-on experience with data warehouse solutions such as Redshift, Snowflake, or BigQuery. Strong command of SQL and programming languages like Python, Scala, or Java. Familiarity with ETL/ELT tools (e.g., Airflow, Fivetran More ❯

experience in data engineering (5+ years), with at least 2 in a people leadership role. Hands-on experience with data warehouse solutions such as Redshift, Snowflake, or BigQuery. Strong command of SQL and programming languages like Python, Scala, or Java. Familiarity with ETL/ELT tools (e.g., Airflow, Fivetran More ❯

various teams to align migration processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data More ❯

workflows. 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 with data tools: Hadoop, Spark, Kafka, etc. Code versioning (Github integration and automation). Experience with scripting languages such as More ❯

CD pipelines for Kubernetes deployments. Qualifications Experienced AWS DevOps engineer Proficient with AWS services like S3, Data Lakes, Glue, IAM, Data Pipelines, Lambda, QuickSight, Redshift, Fargate Deep understanding of AWS services, especially EKS and data-related services (S3, RDS Postgres) Strong knowledge of containerization technologies (Docker, Kubernetes) Experience with More ❯

to demonstrate how to automate and manage data systems so they run smoothly and can grow easily. Experience with tools like AWS (S3, Glue, Redshift, SageMaker) or other cloud platforms. Familiarity with Docker, Terraform, GitHub Actions, and Vault for managing secrets. Proficiency in SQL, Python, Spark, or Scala to More ❯

is critical for structuring data for analysis. Proficiency in cloud platforms, such as AWS and GCP, with hands-on experience in services like Databricks, Redshift, BigQuery, and Snowflake, is highly valued. Advanced Python skills for data manipulation, automation, and scripting, using libraries like Pandas and NumPy, are necessary for More ❯

Amazon Selection and Catalog Systems (ASCS) builds the systems that host and run the comprehensive e-commerce product catalog. We power the online shopping experience for customers worldwide, enabling them to find, discover, and purchase anything they desire. Our scaled, distributed systems process hundreds of millions of updates across … decision making Leading reporting and analytics initiatives to drive data-informed decision making Designing, developing, and maintaining ETL processes and data visualization dashboards using Amazon QuickSight Transforming complex business requirements into actionable analytics solutions. About the team: This central BIE team within ASCS will be responsible for building a … quality controls and real-time monitoring will ensure consistent data quality across the organization. BASIC QUALIFICATIONS - 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience More ❯

power dashboards and reporting specific to each internal department. Required Experience & Skills: Technical Expertise: Proven experience with AWS/Azure/GCP (preferably AWS), Redshift/BigQuery, Apache Spark/EMR, Docker, Python, and SQL. Hands-on expertise with workflow orchestration tools (Prefect, Mage, or Airflow). Experience with More ❯

Implement best practices for data security and compliance. Collaborate with stakeholders and external partners. Skills & Experience: Strong experience with AWS data technologies (eg, S3, Redshift, Lambda). Proficient in Python, Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. 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 ❯