Data Engineer

• Salary: Up to £60,000 per annum (DOE)
• Hybrid Model: 3 days per week onsite (Non-negotiable)
• Location: Preston, Lancashire

About the Client and Role
Our client is a commercially focused business and leader in the property and construction industry. They are seeking an experienced IT Data Engineer to play a key role in shaping their data usage throughout the complete construction project life cycle, from initial estimation through to procurement, on-site operations, safety, commercial performance, finance, and asset management. You will establish the modern data foundations that empowers their teams to make reliable, timely, insight-driven decisions.

Key Responsibilities

• Design and deliver end to end data solutions using Microsoft Fabric (including Lakehouse, Warehousing, Dataflows, and Notebooks) that support both enterprise-wide architecture and project-specific needs.
• Develop reliable ELT/ETL pipelines that integrate data from essential construction systems such as ERP, finance, procurement, project controls, BIM/CDE platforms, and site health & safety applications.
• Build and maintain high quality semantic models for Power BI, creating reusable measures, KPIs, and hierarchies whilst ensuring optimal performance and consistent business definitions.
• Establish strong governance practices in Fabric, including workspace design, Lakehouse organisation, medallion architecture, data security, lineage, and sensitivity labelling.
• Implement CI/CD pipelines to automate deployment of data assets from notebooks and pipelines through to Lakehouse tables and Power BI datasets and reports.

Essential Requirements

• Hands on experience with Microsoft Fabric including Lakehouse/Warehouse, Dataflows, Pipelines, and Notebooks (PySpark).
• Expert Power BI skills across data modelling (star schema), DAX, performance optimisation, RLS, composite models, and deployment pipelines.
• Strong data engineering foundations: ELT/ETL design, orchestration, schema design, data quality, and observability.
• Proficiency in SQL for transformations and optimisation, plus Python/PySpark for data processing.
• Experience integrating data from systems such as ERP/finance (eg, Business Central), scheduling tools (Primavera/MSP), BIM/CDE platforms (Autodesk/BC), and APIs/flat files.
• Practical knowledge of Git and ideally CI/CD for Fabric and Power BI assets.
• Comprehensive understanding of data governance and security, including privacy, sensitivity labelling, RLS/OLS.
• Confident working with business stakeholders, translating domain requirements into clear technical solutions.
• Ability to create high quality documentation, including data contracts, mappings, design decisions, and runbooks.

Services offered by Computappoint Limited are those of an Employment Business and/or Employment Agency in relation to this vacancy.

Computappoint do not use AI to filter or assess candidates, we use experienced and dedicated recruiters, who want to match the best people to roles.