organisations. We combine highly skilled experts with our AI Launchpad , industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses . We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale … with speed. Our Purpose: At WeBuild-AI, we're not just building data architectures—we're building the foundation for AI-powered business transformation that creates lasting impact. Our teams are pioneering new approaches that fundamentally change how enterprises leverage their data assets, unlocking possibilities that were previously … unimaginable. We believe that a modular and composable data architecture is the cornerstone of true AI transformation , and we're looking for visionaries who share our passion for pushing boundaries. Role Overview: As a Platform Engineer at WeBuild-AI, you will design and implement cutting-edge data solutions More ❯
organisations. We combine highly skilled experts with our AI Launchpad , industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses . We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale … with speed. Our Purpose: At WeBuild-AI, we're not just building data architectures—we're building the foundation for AI-powered business transformation that creates lasting impact. Our teams are pioneering new approaches that fundamentally change how enterprises leverage their data assets, unlocking possibilities that were previously … unimaginable. We believe that a modular and composable data architecture is the cornerstone of true AI transformation , and we're looking for visionaries who share our passion for pushing boundaries. Role Overview: As a Platform Engineer at WeBuild-AI, you will design and implement cutting-edge data solutions More ❯
Data Engineer (Microsoft Fabric, Data Warehousing, Databricks, ETL, Data Engineering) Clear career progression to Architect level! A Data Engineer (Microsoft Fabric, Data Warehousing, Databricks, ETL, Data Engineering) is needed by a fast-growing Microsoft partner delivering major cloud data projects. They … re award-winning, Microsoft-certified, and offer a clear path to becoming a Fabric Architect. You must have: 3-4 years' hands-on Data Engineering experience. Strong Microsoft Fabric knowledge Synapse, Notebooks, Pipelines, Lakehouses, SQL. Data Warehousing skills building and managing environments. Databricks expertise advanced data processing and analytics. Consultancy experience (ideal) or strong end-customer project background. Youll get full training on Microsoft Fabric, clear progression to Architect roles, and access to certifications. You'll work alongside top engineers in a business that promotes innovation, collaboration, and rapid career growth. The day-to More ❯
About: You will lead a team of data analysts, BI business process experts and BI analysts, who will benefit from your experience in coaching and your knowledge of the data and analytics domain. The DataFabric team will ensure that your team has access to all … relevant information and their skilled data engineers will develop the data pipelines for the projects in your team. Your team can further rely on a central competence and assistance of data science and business intelligence. Do you like new challenges that test your earlier experience in marketing … that the development and analysis roadmap of your team reflects their requirements. Your team will mainly be using SAS and PowerBI, in combination with data pipeline development and analysis on the Azure cloud, using Databricks. The coding language used is Python. An earlier experience with these tools and languages More ❯
About: You will lead a team of data analysts, BI business process experts and BI analysts, who will benefit from your experience in coaching and your knowledge of the data and analytics domain. The DataFabric team will ensure that your team has access to all … relevant information and their skilled data engineers will develop the data pipelines for the projects in your team. Your team can further rely on a central competence and assistance of data science and business intelligence. Do you like new challenges that test your earlier experience in marketing … that the development and analysis roadmap of your team reflects their requirements. Your team will mainly be using SAS and PowerBI, in combination with data pipeline development and analysis on the Azure cloud, using Databricks. The coding language used is Python. An earlier experience with these tools and languages More ❯
and seamless interactions Use UI Builder and Service Portal to deliver role-based dashboards and customised workflows that meet client-specific requirements Integration and Data Management Integrate ServiceNow applications with external systems (e.g., CRMs, HR systems, and eCommerce platforms) using REST/SOAP APIs and IntegrationHub. Manage data migration and ensure alignment across ServiceNow modules and external systems for consistent data integrity. Workflow datafabric and RaptorDB Your skills and experience ServiceNow Expertise: Proven experience with the ServiceNow platform, focusing on Customer Experience, Technology Experience, and Employee Experience workflows. Customer and Employee Insights: o More ❯
and seamless interactions Use UI Builder and Service Portal to deliver role-based dashboards and customised workflows that meet client-specific requirements Integration and Data Management Integrate ServiceNow applications with external systems (e.g., CRMs, HR systems, and eCommerce platforms) using REST/SOAP APIs and IntegrationHub. Manage data migration and ensure alignment across ServiceNow modules and external systems for consistent data integrity. Workflow datafabric and RaptorDB Your skills and experience ServiceNow Expertise: Proven experience with the ServiceNow platform, focusing on Customer Experience, Technology Experience, and Employee Experience workflows. Customer and Employee Insights: o More ❯
