supporting documents. Person Specification Experience Essential MS SQL Server - development Design and implementation of complex data models used for Business Intelligence and Advanced Analytics Design and implementation of complex ETL/ELT processes used for Business Intelligence and Advanced Analytics Experience in a supervisory role In-depth knowledge of NHS data and issues Visualization and report writing skills Significant experience More ❯
data capabilities Promote and uphold data standards and best practices within the Analytics and Data Engineering team Support and empower data-driven decision-making across the business Carry out ETL processes and validate data for accuracy and completeness Analyse data using SQL and scripting languages such as Python to provide actionable insights Share clear and meaningful insights to guide both More ❯
data capabilities Promote and uphold data standards and best practices within the Analytics and Data Engineering team Support and empower data-driven decision-making across the business Carry out ETL processes and validate data for accuracy and completeness Analyse data using SQL and scripting languages such as Python to provide actionable insights Share clear and meaningful insights to guide both More ❯
in Python or Scala for data processing Strong SQL skills for querying and managing relational databases Experience with AWS services including S3, Glue, Redshift, Lambda, and Athena Knowledge of ETL processes and data pipeline development Understanding of data modelling and data warehousing concepts Familiarity with version control systems, particularly Git Desirable Skills: Experience with infrastructure as code tools such as More ❯
Ability to partner with less technical business users to understand, document, and optimize data flows between systems. Data Pipeline Design and Implementation: Experienced in designing and implementing data pipelines (ETL/ELT/streaming) for robust data ingestion, transformation, and distribution, ensuring access to reliable data for analysis and decision-making. Relational Databases: Deep understanding of relational database technologies such More ❯
Ability to partner with less technical business users to understand, document, and optimize data flows between systems. Data Pipeline Design and Implementation: Experienced in designing and implementing data pipelines (ETL/ELT/streaming) for robust data ingestion, transformation, and distribution, ensuring access to reliable data for analysis and decision-making. Relational Databases: Deep understanding of relational database technologies such More ❯
