Rise Technical
Manchester, Lancashire
Manchester (3 Days per Week in the Office) Are you a Senior Data Engineer who prefers building the foundations that make reporting possible, rather than inheriting someone else's platform and maintaining it? This role sits within a growing digital transformation and project controls consultancy delivering reporting and data solutions across major capital programmes. You'll work across two established client accounts from day one, building the data capability behind board-level reporting rather than simply producing dashboards. The work starts with understanding what stakeholders need to know, tracing that back to where the data lives, then building the pipelines, models, controls and reporting layers needed to make those numbers trustworthy. The reality isn't tidy. You'll deal with APIs, spreadsheets, schedule exports, PDFs and manual submissions, designing solutions that identify bad data instead of quietly publishing it. You'll take ownership of the full reporting stack, from data acquisition and modelling through to Azure platform development, semantic models and reporting outputs. You'll also work directly with planners, quantity surveyors and project managers to understand requirements and translate them into reliable reporting solutions. Sector experience within construction, infrastructure or project controls would be beneficial, but it is not essential. The priority is strong technical depth, experience building data platforms from scratch, and exposure to large, complex environments where reporting accuracy matters. The Role: Build Azure-based data platforms from the ground up Develop scalable data models and reporting architectures Create trusted reporting solutions with validation, lineage and reconciliation built in Work directly with programme stakeholders and client teams Own data pipelines, semantic models and Power BI reporting outputs Based 3 days per week in the Manchester office, with occasional travel The Person: Strong background in Data Engineering or Data Platform development Advanced SQL and Python skills Experience with Azure Data Factory, Fabric, Synapse or Azure SQL Strong Power BI modelling and DAX knowledge Experience building solutions from scratch within complex environments Construction, infrastructure or project controls experience beneficial but not required
Manchester (3 Days per Week in the Office) Are you a Senior Data Engineer who prefers building the foundations that make reporting possible, rather than inheriting someone else's platform and maintaining it? This role sits within a growing digital transformation and project controls consultancy delivering reporting and data solutions across major capital programmes. You'll work across two established client accounts from day one, building the data capability behind board-level reporting rather than simply producing dashboards. The work starts with understanding what stakeholders need to know, tracing that back to where the data lives, then building the pipelines, models, controls and reporting layers needed to make those numbers trustworthy. The reality isn't tidy. You'll deal with APIs, spreadsheets, schedule exports, PDFs and manual submissions, designing solutions that identify bad data instead of quietly publishing it. You'll take ownership of the full reporting stack, from data acquisition and modelling through to Azure platform development, semantic models and reporting outputs. You'll also work directly with planners, quantity surveyors and project managers to understand requirements and translate them into reliable reporting solutions. Sector experience within construction, infrastructure or project controls would be beneficial, but it is not essential. The priority is strong technical depth, experience building data platforms from scratch, and exposure to large, complex environments where reporting accuracy matters. The Role: Build Azure-based data platforms from the ground up Develop scalable data models and reporting architectures Create trusted reporting solutions with validation, lineage and reconciliation built in Work directly with programme stakeholders and client teams Own data pipelines, semantic models and Power BI reporting outputs Based 3 days per week in the Manchester office, with occasional travel The Person: Strong background in Data Engineering or Data Platform development Advanced SQL and Python skills Experience with Azure Data Factory, Fabric, Synapse or Azure SQL Strong Power BI modelling and DAX knowledge Experience building solutions from scratch within complex environments Construction, infrastructure or project controls experience beneficial but not required