teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as AmazonRedshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform … techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and … 2.Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as AmazonRedshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency More ❯
teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as AmazonRedshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform … techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and … 2.Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as AmazonRedshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency More ❯
teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as AmazonRedshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform … techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and … 2.Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as AmazonRedshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency More ❯
Data & Analytics services . You'll be instrumental in ensuring reliable, high-quality service delivery across our modern data ecosystem, including platforms like Informatica , AmazonRedshift , Microsoft Fabric , Power BI , and PowerApps . This role is perfect for someone passionate about operational excellence, skilled in stakeholder management, and … analytics environments. Proven experience managing third-party support providers and holding them accountable to SLAs and KPIs. Familiarity with modern data platforms: Informatica (ETL) AmazonRedshift (data warehousing) Microsoft Fabric (analytics) Power BI (reporting) PowerApps (low-code tools) TOPdesk or similar ITSM tools Track record of defining, measuring More ❯
Strong Python and SQL Solid AWS experience (Glue, Lambda, SQS, S3, etc.) Experience building/maintaining ETL pipelines Data modelling and warehousing knowledge (PostgreSQL, Redshift, Snowflake etc.) Self-starter mindset, you’ll get stuck in and find answers independently to bring back to the team Drive to want to More ❯
Strong Python and SQL Solid AWS experience (Glue, Lambda, SQS, S3, etc.) Experience building/maintaining ETL pipelines Data modelling and warehousing knowledge (PostgreSQL, Redshift, Snowflake etc.) Self-starter mindset, you’ll get stuck in and find answers independently to bring back to the team Drive to want to More ❯
Coventry, England, United Kingdom Hybrid / WFH Options
Berkeley Square IT
Outside of IR35. Must have technologies: Experience in an ETL toolset (Talend, Pentaho, SAS DI, Informatica, etc.) Snowflake Experience in a Database (Oracle, RDS, Redshift, MySQL, Hadoop, Postgres, etc.) Experience in data modelling (Data Warehouse, Marts) Job Scheduling toolset (Job Scheduler, TWS, etc.) Programming and scripting languages (PL/ More ❯
Azure SQL Azure DataBricks Microsoft Fabric Azure data lake Exposure to other data engineering and storage tools: Snowflake AWS tools - Kinesis/Glue/Redshift Google tools - BigQuery/Looker Experience working with open datasets - ingesting data/building API based queries Our benefits Here at North Northamptonshire Council More ❯
platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with More ❯
platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with More ❯
platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with More ❯
platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with More ❯
platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with More ❯
platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with More ❯
platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with More ❯
platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with More ❯
platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with More ❯
platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with More ❯
platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with 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 ❯
driven solutions that support business growth. Responsibilities Collaborate with teams to understand objectives, data needs, and analytics goals. Develop strategies using AWS services like AmazonRedshift, 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. 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 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, and QuickSight. Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, visualization tools, and More ❯
supporting business growth. Responsibilities: Collaborate with teams to understand business goals, data needs, and analytics objectives. Develop data analysis strategies using AWS services like AmazonRedshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for diverse data sources. Apply statistical and machine learning techniques for predictive … and pattern analyses. Identify key metrics, develop KPIs, and create dashboards using Amazon QuickSight. Perform exploratory data analysis to uncover trends and insights. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's in Computer Science, Statistics, Mathematics, or related … fields. Experience as a Data Scientist, especially with AWS analytics services. Proficiency in AWS services like Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL More ❯
Newark, Nottinghamshire, East Midlands, United Kingdom Hybrid / WFH Options
Future Prospects
analytical and problem-solving skills with an ability to work in agile development environment independently. Experience with data warehouse platforms (e.g., Snowflake, Azure Synapse, Redshift, BigQuery, or similar). Ability to work independently and manage multiple projects simultaneously. Excellent communication and collaboration skills. THE BENEFITS As a Data Warehouse More ❯
solutions to support business growth. Responsibilities: Collaborate with teams to understand objectives and define analytics goals. Develop data analysis strategies using AWS services like AmazonRedshift, 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 pattern analysis. Create dashboards and visualizations for decision-making using Amazon QuickSight. Conduct exploratory data analysis to uncover insights for product and engagement improvements. Work with data engineers on data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's degree in a relevant … field. Experience as a Data Scientist, especially with AWS analytics services. Proficiency in AWS services such as Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL More ❯
supporting business growth. Responsibilities: Work with teams to understand objectives, data needs, and analytics goals. Develop and implement analysis strategies using AWS services like AmazonRedshift, 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. Identify key metrics, develop KPIs, and create dashboards using Amazon QuickSight. Perform exploratory data analysis to identify trends and insights for product and user engagement improvements. Collaborate with data engineers to optimize data architecture, quality, and governance in AWS. Requirements: Bachelor's … degree in Computer Science, Statistics, Mathematics, or related fields. Experience as a Data Scientist, especially with AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, and QuickSight. Strong understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, and machine learning. Programming skills More ❯
