1 to 25 of 149 Permanent Amazon Redshift Jobs in London

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

and performance, resolving any issues proactively. Key skills required: Strong Data Engineering experience, preferably within the media or entertainment industry. Strong expertise in AWS & Redshift, including performance tuning, data modeling, and schema design. Hands-on experience with Matillion (or similar) ETL/ELT processes. Proficiency in SQL & Python Proven More ❯

and performance, resolving any issues proactively. Key skills required: Strong Data Engineering experience, preferably within the media or entertainment industry. Strong expertise in AWS & Redshift, including performance tuning, data modeling, and schema design. Hands-on experience with Matillion (or similar) ETL/ELT processes. Proficiency in SQL & Python Proven 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 ❯

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 ❯

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 ❯