9 of 9 Remote Conceptual Models Jobs in England

from the front. What You’ll Be Doing: Designing and developing robust data pipelines to centralise and clean data from multiple sources Building conceptual and physical data models to support reporting and analysis Championing data governance and implementing controls to ensure quality and compliance Developing automated ETL solutions using Microsoft Azure tools Leading best practice in engineering … Azure (Data Lake, Synapse, SQL Server) Comfortable with Python, C#, and working with APIs Familiar with cloud data platforms (Azure essential; AWS useful) Confident designing data architecture and building models from scratch Solid understanding of database management and governance principles Skilled in Excel, including VBA for analysis and automation Strong problem-solver, commercially aware, and naturally collaborative What’s More ❯

from the front. What You’ll Be Doing: Designing and developing robust data pipelines to centralise and clean data from multiple sources Building conceptual and physical data models to support reporting and analysis Championing data governance and implementing controls to ensure quality and compliance Developing automated ETL solutions using Microsoft Azure tools Leading best practice in engineering … Azure (Data Lake, Synapse, SQL Server) Comfortable with Python, C#, and working with APIs Familiar with cloud data platforms (Azure essential; AWS useful) Confident designing data architecture and building models from scratch Solid understanding of database management and governance principles Skilled in Excel, including VBA for analysis and automation Strong problem-solver, commercially aware, and naturally collaborative What’s More ❯

from the front. What You’ll Be Doing: Designing and developing robust data pipelines to centralise and clean data from multiple sources Building conceptual and physical data models to support reporting and analysis Championing data governance and implementing controls to ensure quality and compliance Developing automated ETL solutions using Microsoft Azure tools Leading best practice in engineering … Azure (Data Lake, Synapse, SQL Server) Comfortable with Python, C#, and working with APIs Familiar with cloud data platforms (Azure essential; AWS useful) Confident designing data architecture and building models from scratch Solid understanding of database management and governance principles Skilled in Excel, including VBA for analysis and automation Strong problem-solver, commercially aware, and naturally collaborative What’s More ❯

from the front. What You’ll Be Doing: Designing and developing robust data pipelines to centralise and clean data from multiple sources Building conceptual and physical data models to support reporting and analysis Championing data governance and implementing controls to ensure quality and compliance Developing automated ETL solutions using Microsoft Azure tools Leading best practice in engineering … Azure (Data Lake, Synapse, SQL Server) Comfortable with Python, C#, and working with APIs Familiar with cloud data platforms (Azure essential; AWS useful) Confident designing data architecture and building models from scratch Solid understanding of database management and governance principles Skilled in Excel, including VBA for analysis and automation Strong problem-solver, commercially aware, and naturally collaborative What’s More ❯

Engineer will play a crucial role in shaping that platform, helping the data team upskill, and embed best practices across the function. They will also lead on bringing AI models into production, ensuring robust monitoring, alerting, and data pipeline reliability are in place to support long-term success. Key Responsibilities: ·Build and maintain scalable data pipelines for analytics and … AI use cases. ·Lead the deployment of production ready AI models with end-to-end monitoring. ·Support the development of Python coding standards and engineering best practices. ·Collaborate closely with IT and data teams to enhance the platform and unlock new capabilities. In addition to the technical work, this role will help improve data governance and quality processes across … the organisation, support the development of conceptual and dimensional data models, and contribute to fostering a culture of innovation and evidence led decision-making. Experience Required: ·Essential experience with Azure Databricks - including Unity Catalog, Python (ideally PySpark), and SQL. ·Practical knowledge of modern ELT workflows, with a focus on the Extract and Load stages. ·Experience working across More ❯

Engineer will play a crucial role in shaping that platform, helping the data team upskill, and embed best practices across the function. They will also lead on bringing AI models into production, ensuring robust monitoring, alerting, and data pipeline reliability are in place to support long-term success. Key Responsibilities: Build and maintain scalable data pipelines for analytics and … AI use cases. Lead the deployment of production ready AI models with end-to-end monitoring. Support the development of Python coding standards and engineering best practices. Collaborate closely with IT and data teams to enhance the platform and unlock new capabilities. In addition to the technical work, this role will help improve data governance and quality processes across … the organisation, support the development of conceptual and dimensional data models, and contribute to fostering a culture of innovation and evidence led decision-making. Experience Required: Essential experience with Azure Databricks - including Unity Catalog, Python (ideally PySpark), and SQL. Practical knowledge of modern ELT workflows, with a focus on the Extract and Load stages. Experience working across More ❯

Engineer will play a crucial role in shaping that platform, helping the data team upskill, and embed best practices across the function. They will also lead on bringing AI models into production, ensuring robust monitoring, alerting, and data pipeline reliability are in place to support long-term success. Key Responsibilities: Build and maintain scalable data pipelines for analytics and … AI use cases. Lead the deployment of production ready AI models with end-to-end monitoring. Support the development of Python coding standards and engineering best practices. Collaborate closely with IT and data teams to enhance the platform and unlock new capabilities. In addition to the technical work, this role will help improve data governance and quality processes across … the organisation, support the development of conceptual and dimensional data models, and contribute to fostering a culture of innovation and evidence led decision-making. Experience Required: Essential experience with Azure Databricks - including Unity Catalog, Python (ideally PySpark), and SQL. Practical knowledgeof modern ELT workflows, with a focus on the Extract and Load stages. Experience working across both More ❯

Engineer will play a crucial role in shaping that platform, helping the data team upskill, and embed best practices across the function. They will also lead on bringing AI models into production, ensuring robust monitoring, alerting, and data pipeline reliability are in place to support long-term success. Key Responsibilities: Build and maintain scalable data pipelines for analytics and … AI use cases. Lead the deployment of production ready AI models with end-to-end monitoring. Support the development of Python coding standards and engineering best practices. Collaborate closely with IT and data teams to enhance the platform and unlock new capabilities. In addition to the technical work, this role will help improve data governance and quality processes across … the organisation, support the development of conceptual and dimensional data models, and contribute to fostering a culture of innovation and evidence led decision-making. Experience Required: Essential experience with Azure Databricks – including Unity Catalog, Python (ideally PySpark), and SQL. Practical knowledge of modern ELT workflows, with a focus on the Extract and Load stages. Experience working across More ❯

Engineer will play a crucial role in shaping that platform, helping the data team upskill, and embed best practices across the function. They will also lead on bringing AI models into production, ensuring robust monitoring, alerting, and data pipeline reliability are in place to support long-term success. Key Responsibilities: Build and maintain scalable data pipelines for analytics and … AI use cases. Lead the deployment of production ready AI models with end-to-end monitoring. Support the development of Python coding standards and engineering best practices. Collaborate closely with IT and data teams to enhance the platform and unlock new capabilities. In addition to the technical work, this role will help improve data governance and quality processes across … the organisation, support the development of conceptual and dimensional data models, and contribute to fostering a culture of innovation and evidence led decision-making. Experience Required: Essential experience with Azure Databricks – including Unity Catalog, Python (ideally PySpark), and SQL. Practical knowledge of modern ELT workflows, with a focus on the Extract and Load stages. Experience working across More ❯