376 to 400 of 865 Amazon Redshift Jobs in the UK

data engineers, product managers, and stakeholders to craft data-driven solutions. Responsibilities: Collaborate with teams to understand objectives and define analytics goals. Develop analysis strategies using AWS services like 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. Create dashboards and KPIs … with Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Work with data engineers to optimize data architecture and governance in AWS. Requirements: Bachelor's or master's in Computer Science, Statistics, Mathematics, or related fields. Experience as a Data Scientist, especially in AWS cloud environments. Proficiency in AWS analytics tools: Redshift, Athena More ❯

our data strategy to support business growth. Responsibilities: Collaborate with teams to understand objectives, identify data needs, and set analytics goals. Implement 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 analysis … Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, especially with AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, and QuickSight. Knowledge of data modeling, ETL, data warehousing, and statistical/machine learning techniques. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, data More ❯

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

We're seeking a Business Intelligence Engineer (12-month Fixed Term Contract) to join our Ship With Amazon (SWA-EU) Sales & Operations Planning Analytics team . In this role, you'll leverage advanced analytics to optimize our First Mile (FM) and Middle Mile (MM) network operations and develop forecasting solutions to enhance operational efficiency. This role will also involve … Experience with SQL Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing, and building ETL pipelines Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS Experience with AWS … solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, and using databases in a business environment with large-scale, complex datasets #J-18808-Ljbffr More ❯

influence our data strategy to support business growth. Responsibilities: Understand business objectives, data requirements, and analytics goals with cross-functional teams. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes for data extraction, transformation, and loading. Apply statistical and machine learning techniques for predictive and … s or master's degree in Computer Science, Statistics, Mathematics, or related field. Proven experience as a Data Scientist, especially with AWS analytics services. Strong proficiency in AWS tools: Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, and data warehousing concepts. Skills in statistical analysis, data mining, and machine learning. Proficiency in Python, R, or Scala for data More ❯

Sr Business Intelligence Engineer, Data and Analytics Job ID: Amazon EU SARL (UK Branch) - D67 Unlock the power of data and transform transportation operations with analytics solutions! Join our dynamic team in London and become a pivotal force in developing innovative insights that drive strategic decision-making across European transportation networks. You'll be at the forefront of creating … large (multi-TB) data sets PREFERRED QUALIFICATIONS - Master's degree in statistics, data science, or an equivalent quantitative field - Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc. - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with AWS technologies Amazon is an equal opportunities employer. We believe passionately … data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver 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 ❯

Business Intelligence Engineer, Finance Operations, Global Data & Analytics (GDA) team Job ID: 2898829 | Amazon/Slovakia/s.r.o. The Business Intelligence Engineer will be a part of the high-visibility, growth-oriented, and dynamic Finance Operations, Global Data & Analytics (GDA) team. The GDA team are seeking an exceptionally talented and deeply focused Business Intelligence Engineer who can build reporting … of the world’s largest Account Payables and Receivables teams to operate at scale, and resolve process defects. The role will navigate ambiguity to rapidly build their knowledge of Amazon’s “Order to Cash” and “Procure to Pay” processes (and their accompanying data sets) to become a trusted analytics partner for our 2,000+ business partners across Finance Operations … and QuickSight dashboards • Optimize and organize data pipelines into the visualization environment • Collaborate with business users on requirements, objectives and measures • Access and use analytical tools (various databases on Amazon’s data, SQL). • Provides input and recommendations on technical issues to data engineering team • Reviews technical work of other team members, provide improvement advice • Significantly contribute to data More ❯

and employees and build relationships based on trust and value. Role Overview The Principal Data Architect will design and implement solutions using a range of AWS infrastructure, including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, RDS, Athena, Kinesis, Quicksight. We also widely use ‘other’ tech such as Snowflake, DBT, Databricks, Informatica, Matillion, Airflow, Tableau, Power BI etc. Transformational … ML) Designing & developing data models aligned to the functional and non-functional requirements Work closely with other members of agile deployment team Selection & configuration of appropriate, base technologies (eg Amazon Redshift, RDS) Selection & application of appropriate standards & principles Capture & implementation of functional & non-functional requirements Expert in data modelling and latest data trends including Data Warehouses, Data Lakes More ❯

driven solutions and shape our data strategy to support business growth. Responsibilities Work 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 analysis and pattern recognition. Create KPIs More ❯

reliable, scalable, and well-tested solutions to automate data ingestion, transformation, and orchestration across systems. Own data operations infrastructure: Manage and optimise key data infrastructure components within AWS, including Amazon Redshift, Apache Airflow for workflow orchestration, and other analytical tools. You will be responsible for ensuring the performance, reliability, and scalability of these systems to meet the growing More ❯

work on fast-moving, critical projects, contributing to design decisions. Proven project delivery and advanced data validation experience are advantageous. Key Skills & Experience: Proficiency with database systems such as Amazon Aurora MySQL, Microsoft SQL, Oracle, DynamoDB, etc. Expertise in designing, developing, and maintaining complex SQL queries and stored procedures. Performance tuning and optimization of data pipelines. Implementing data monitoring … solutions. Developing scripts and automation tools for data management. Knowledge of version control systems like Git. Familiarity with AWS services: DMS, Lambda, S3, Step Functions, CloudWatch, Redshift, Glue, EventBridge. Experience with CI/CD pipelines and repositories (e.g., Bitbucket). Automated testing design and implementation. Experience with large-scale data environments and warehousing concepts. Data ingestion and integration experience. More ❯

or another Data Science based scripting language. Demonstrated experience and responsibility with data, processes, and building ETL pipelines. Experience with cloud data warehouses such as Snowflake, Azure Data Warehouse, Amazon Redshift, and Google BigQuery. Building visualizations using Power BI or Tableau Experience in designing ETL/ELT solutions, preferably using tools like SSIS, Alteryx, AWS Glue, Databricks, IBM More ❯

optimize operations and decision-making. Collaborating with Data Engineering and Analytics Tooling teams to improve data sources and develop scalable, accurate reporting processes. Experience: Analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. Data visualization using Tableau, Quicksight, or similar tools Data modeling, warehousing, and ETL pipeline development Statistical analysis using R, SAS, Matlab SQL and scripting (Python) for … data processing and modeling Preferred qualifications: Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, and handling large-scale, complex datasets in a business environment #J-18808-Ljbffr More ❯

and recommendations, shaping our data strategy and supporting business growth. Responsibilities: Collaborate with teams to understand objectives and define analytics goals. Develop data analysis strategies using AWS services like 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 segmentation analyses. Develop KPIs … in AWS. Requirements: Bachelor's or master's in Computer Science, Statistics, Mathematics, or related. Experience as a Data Scientist, especially with AWS analytics. Proficiency in AWS services like Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, data warehousing. Skills in statistical analysis, data mining, machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL More ❯

develop data-driven solutions and strategies to drive growth. Responsibilities: Collaborate with teams to understand objectives, data needs, and analytics goals. Develop data analysis strategies using AWS services like 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 analysis, clustering, segmentation, and pattern … s or master's degree in Computer Science, Statistics, Mathematics, or related fields. Proven experience as a Data Scientist, especially with AWS analytics services. Strong proficiency in AWS tools: Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, machine learning. Programming skills in Python, R, or Scala. Experience with SQL More ❯

GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability to design and build solutions … experience in a similar role. Ability to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver or More ❯

thrives in greenfield project environments, and enjoys working both independently and collaboratively. Key Responsibilities as a Principal Data Engineer Propose and implement data solutions using AWS services including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, and Matillion . Work directly with clients to define requirements, refine solutions, and ensure successful handover to internal teams. Design and implement ETL … to a collaborative, knowledge-sharing team culture. Required Qualifications & Skills Strong experience in ETL processes and cloud data warehouse patterns . Hands-on expertise with AWS services (S3, Glue, Redshift). Proficiency with Matillion for data transformation. Experience working with various relational databases . Familiarity with data visualization tools such as QuickSight, Tableau, Looker, or QlikSense . Ability to More ❯

GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability to design and build solutions … experience in a similar role. Ability to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver or More ❯

desktops Requirements Demonstrable experience within consulting/managed service environments Strong experience in building, configuring and optimising the Data Lakes environment Experience in Landing Zones/Transit Gateways/Redshift/Firehose/CloudTrail/Workspaces Experience within Linux based environments Strong understanding of AWS Data Lake solutions and AWS Redshift AWS Certified Solutions Architect, Developer, or SysOps More ❯

GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability to design and build solutions … experience in a similar role. Ability to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver or More ❯

data pipelines. These pipelines ingest and transform data from diverse sources (e.g., email, CSV, ODBC/JDBC, JSON, XML, Excel, Avro, Parquet) using AWS technologies such as S3, Athena, Redshift, Glue, and programming languages like Python and Java (Docker/Spring) . What You’ll Do Lead the design and development of scalable data pipelines and ETL processes Collaborate … UK for at least 5 years. What We’re Looking for Proven experience leading data engineering teams and delivering technical solutions Strong background in cloud data platforms, especially AWS (Redshift, Athena, EC2, IAM, Lambda, CloudWatch) Proficiency in automation tools and languages (e.g., GitHub/GitLab, Python, Java). Skilled in stakeholder engagement and translating requirements into actionable insights. Ability More ❯

including geospatial data—for training our large-scale AI models. Key Responsibilities: •Architect, design, and manage scalable data pipelines and infrastructure across on-premise and cloud environments (AWS S3, Redshift, Glue, Step Functions). •Ingest, clean, wrangle, and preprocess large, diverse, and often messy datasets—including structured, unstructured, and geospatial data. •Collaborate with ML and research teams to ensure … experience in data engineering, data architecture, or similar roles. •Expert proficiency in Python, including popular data libraries (Pandas, PySpark, NumPy, etc.). •Strong experience with AWS services—specifically S3, Redshift, Glue (Athena a plus). •Solid understanding of applied statistics. •Hands-on experience with large-scale datasets and distributed systems. •Experience working across hybrid environments: on-premise HPCs and More ❯

selection, cost management and team management Experience required: Experience in building and scaling BI and Data Architecture Expertise in modern BI and Data DW platforms such as Snowflake, BigQuery, Redshift, Power BI etc Background in ETL/ELT tooling and Data Pipelines such as DBT, Fivetran, Airflow Experienced in Cloud based solutions (Azure, AWS or Google More ❯

selection, cost management, and team management. Experience required: Experience in building and scaling BI and Data Architecture. Expertise in modern BI and Data DW platforms such as Snowflake, BigQuery, Redshift, Power BI, etc. Background in ETL/ELT tooling and Data Pipelines such as DBT, Fivetran, Airflow. Experience with Cloud-based solutions (Azure, AWS, or Google). #J More ❯