Data Engineer

6 month contract with a local authority

Job Purpose

• The Data Engineer will support the continued development and expansion of the organisations data infrastructure primarily using Microsoft Fabric technologies. The role will focus on data transformation integration and modernisation of existing processes with a strong emphasis on Python-based development. The postholder will re-engineer legacy scripts and workflows into a scalable efficient MS Fabric environment ensuring data is transformed stored and exported in formats ready for ingestion into target business applications.
  

Key Duties/Accountabilities

• Design build and maintain data pipelines using Microsoft Fabric technologies.
  
• Undertake data transformation and integration projects to support business applications and reporting needs.
  
• Re-engineer and modernise legacy scripts and data processes migrating them into a Microsoft Fabric environment.
  
• Develop and maintain Python-based integrations to move transform and manipulate data across systems.
  
• Work with databases and structured data sources to ensure accurate reliable and performant data movement.
  
• Ensure transformed data is stored structured and exported in formats suitable for downstream ingestion.
  

Essential Experience Required

• Proven experience working as a Data Engineer within a data integration or data transformation environment.
  
• Strong practical experience using Python for data processing scripting and system integrations.
  
• Experience working with databases and data manipulation techniques.
  

Essential Qualifications Required

• Degree in Computer Science Data Engineering Software Engineering or a related discipline or equivalent relevant professional experience.
  
• Strong Python development skills.
  
• Good understanding of data structures ETL/ELT processes and data integration patterns.
  

Additional information to note

• Working Hours: 37 hours per week
  
• 5 days a week (37 hrs)
  
• 8.30am 5.00pm Mon-Thur
  
• 8.30 4.30pm Fri
  
• Hybrid available. Preference is 5 days on site
  
• We work on bi-weekly schedule.
  

The role closes on 17^th April 2026 apply ASAP.