Senior Data Engineer

Rise Technical; Manchester; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

Rise Technical in Manchester is seeking a Senior Data Engineer to build the foundations for reporting rather than inheriting someone else’s platform. You’ll create Azure-based data platforms from scratch, develop scalable data models and reporting architectures, and deliver trusted reporting with validation and lineage built in.

You’ll work directly with planners, quantity surveyors and project managers to translate requirements into reliable reporting solutions, owning data pipelines and

Qualifications

• 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.

Responsibilities

• 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.

Skills

SQL

Python

Data modeling

DAX

Power BI modelling

Tools

Azure Data Factory

Azure Synapse

Azure SQL

Fabric

Power BI

Job description

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