176 to 200 of 407 Amazon Redshift Jobs in the UK excluding London

develop data-driven solutions to support business growth. Responsibilities: 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 and transformation. Apply statistical and machine learning techniques for … in Computer Science, Statistics, Mathematics, or related fields. Experience as a Data Scientist, preferably with AWS analytics services. Proficiency in AWS tools such as Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and data warehousing. Knowledge of statistical analysis, machine learning, and programming languages like Python, R More ❯

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 … 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. More ❯

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 … 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 More ❯

to support business growth. Responsibilities: Work with teams to understand objectives and define analytics goals. Develop data analysis strategies using AWS tools such as 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 insights. Create dashboards and KPIs using Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Collaborate with data engineers on data architecture and governance. Requirements: Bachelor's or master's degree in a related field. Experience as a Data Scientist, preferably with AWS … analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, data warehousing. Skills in statistical analysis, machine learning, and programming languages such as Python, R, or Scala. Experience with SQL, NoSQL, data visualization, and big data technologies. Knowledge of data governance and security More ❯

to support business growth. Responsibilities: Work with teams to understand objectives, data needs, and analytics goals. Develop data analysis strategies using AWS tools like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data ingestion and transformation. 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. Collaborate on data architecture, quality, and governance improvements. Requirements: 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. Understanding of data modeling, ETL, and warehousing concepts. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, visualization tools, and statistical More ❯

to support business growth. Responsibilities Collaborate with teams to understand objectives and define analytics goals. Develop data analysis strategies using AWS tools such as Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction and transformation. Apply statistical and machine learning techniques for … predictive and pattern analysis. 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 degree in Computer Science, Statistics, Mathematics, or related … fields. Experience as a Data Scientist, preferably with AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and warehousing concepts. Skills in statistical analysis, machine learning, and programming languages such as Python, R, or Scala. Experience with SQL, NoSQL, data More ❯

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 More ❯

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 More ❯

Python in a data context Proven skills in SQL Experience with Data Warehousing (DWH) ideally with Snowflake or similar cloud data platforms (Databricks or Redshift) Experience with DBT, Kafka, Airflow, and modern ELT/ETL frameworks Familiarity with data visualisation tools like Sisense, Looker, or Tableau Solid understanding of More ❯

such as Python, Java, Scala, Spark, and SQL to extract, clean, transform, and integrate data. Build scalable solutions using AWS services like EMR, Glue, Redshift, Kinesis, Lambda, and DynamoDB. Process large volumes of structured and unstructured data, integrating multiple sources to create efficient data pipelines. Collaborate with engineering teams More ❯

platforms Experience in writing efficient SQL's, implementing complex ETL transformations on big data platform. Experience in a Big Data technologies (Spark, Impala, Hive, Redshift, Kafka, etc.) Experience in data quality testing; adept at writing test cases and scripts, presenting and resolving data issues Experience with Databricks, Snowflake, Iceberg More ❯

warehousing, data lake/lakehouse architectures, and cloud-native analytics platforms. Hands-on experience with SQL and cloud data platforms (e.g., Snowflake, Azure, AWS Redshift, GCP BigQuery). Experience with BI/analytics tools (e.g., Power BI, Tableau) and data visualization best practices. Strong knowledge of data governance, data More ❯

of relevant work experience in Analytics, Business Intelligence, or Technical Operations Master in SQL, Python, and ETL using big data tools (HIVE/Presto, Redshift) Previous experience with web frameworks for Python such as Django/Flask is a plus Experience writing data pipelines using Airflow Fluency in Looker More ❯

of relevant work experience in Analytics, Business Intelligence, or Technical Operations Master in SQL, Python, and ETL using big data tools (HIVE/Presto, Redshift) Previous experience with web frameworks for Python such as Django/Flask is a plus Experience writing data pipelines using Airflow Fluency in Looker More ❯

warehousing, data lake/lakehouse architectures, and cloud-native analytics platforms Hands-on experience with SQL and cloud data platforms (e.g., Snowflake, Azure, AWS Redshift, GCP BigQuery) Experience with BI/analytics tools (e.g., Power BI, Tableau) and data visualization best practices Strong knowledge of data governance, data privacy More ❯

data platform projects in iterative cycles. Non-Microsoft Data Tools – Exposure to or hands-on experience with tools such as Snowflake, Databricks or AWS Redshift Cross-Platform Reporting Tools – Knowledge of BI tools beyond Power BI, such as Tableau or Qlik, for comparative understanding or hybrid deployments. KEY COMPETENCIES More ❯

business growth. Responsibilities: Collaborate with teams to understand objectives, define data requirements, and set analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes to load data into AWS for analysis. Apply statistical and machine learning … techniques for predictive and segmentation analyses. Identify key metrics, develop KPIs, and create dashboards with Amazon QuickSight. Perform exploratory data analysis to find trends and insights for product and user engagement improvements. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements: Bachelor's or … master's degree in related fields. Experience as a Data Scientist, especially with AWS analytics. Proficiency in AWS services like Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, warehousing. Skills in statistical analysis, data mining, machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL More ❯

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

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 More ❯

Responsibilities develop, and maintain ETL/ELT data pipelines using AWS services Data, Databricks and dbt Manage and optimize data storage solutions such as Amazon S3, Redshift, RDS, and DynamoDB. Implement and manage infrastructure-as-code (IaC) using tools like Terraform or AWS CloudFormation. Monitor and optimize the More ❯

develop data-driven solutions to support business growth. Responsibilities Understand business objectives and define analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes. Apply statistical and machine learning techniques for predictive and pattern … 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, Athena, EMR, QuickSight. Understanding of data modeling, ETL, and warehousing concepts. Skills in statistical analysis, data mining, machine learning. Programming skills in Python, R More ❯

applying machine learning techniques, creating dashboards, and optimizing data architecture. Responsibilities: Understand business objectives and define analytics goals. Develop strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes. Apply statistical and machine learning techniques for analysis. Create dashboards and KPIs More ❯

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 More ❯

data models, data mining and segmentation techniques You have coding skills with Python (or C#) and SQL You have experience with SQL databases (e.g. Amazon Redshift, PostgreSQL) You have experience with data tooling (e.g. Airflow, DBT, AWS Kinesis) You have strong analysis and problem solving skills You're More ❯

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 More ❯