Data Engineer

Saffron housing
Norwich, United Kingdom
Today
£56,000 pa

Salary

£56,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Mid
Education
Degree
Posted
30 Apr 2026 (Today)
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Data Engineer

Long Stratton, Norwich, Norfolk

£56,000 per annum

Full Time: 37hrs per week

Saffron is looking for a talented Data Engineer to help drive the next stage of our data transformation. This role is all about building and optimising our Azure-based data platform, developing high-performing pipelines in Azure Data Factory, and supporting our move toward Microsoft Fabric. You will work closely with BI Analysts and teams across the business to deliver reliable, high-quality data that powers smarter decisions and sharper insights. It is a chance to shape a modern, scalable data environment and make a real impact on how we use data across the organisation.

Key Responsibilities:

  • Design, build, and maintain a scalable Azure-based data warehouse that meets the current and future requirements of the Data & Analytics team.
  • Lead the introduction, adoption, and optimisation of Microsoft Fabric (e.g., Lakehouse, Warehouse, Data Engineering, Pipelines).
  • Apply CI/CD practices (e.g., Azure DevOps) for version control, deployment automation, and environment management.
  • Implement data quality checks, pipeline observability, alerting, and automated monitoring to ensure consistent platform reliability.
  • Work collaboratively with data owners and the wider data team to ensure data definitions, lineage, and ownership are clearly established.
  • Work collaboratively with data owners and the wider data team to ensure data definitions, lineage, and ownership are clearly established.
  • Provide technical guidance and coaching to the wider data team members on data engineering best practices.

For a full list of responsibilities please see the attached Role Profile

Our Ideal Candidate Will Have:

Education and Qualifications:

  • Degree in Computer Science, Data Engineering, Mathematics, or a related discipline, or equivalent experience (E)
  • Microsoft certifications in SQL, Fabric, including Power BI, or other Azure Data Services (D)

Experience:

  • Advanced SQL skills, including optimisation of complex queries (E).
  • Experience building data pipelines and ETL/ELT workflows using tools such as:
  • Azure Data Factory, Databricks, Airflow, Luigi, or similar (E)
  • Strong understanding of data modelling (E)
  • Programming skills in Python and/or Scala for data processing (D).
  • Experience with machine learning pipelines or MLOps frameworks (D).

Personal Attributes:

  • Confident communicator able to engage both technical and non-technical audiences.
  • Proactive, innovative, and committed to continuous improvement.
  • Collaborative, with mentoring and leadership capabilities.
  • Customer-focused, with a commitment to improving services through data.
  • Experience working in a busy, fast-paced workload, and managing multiple projects to meet deadlines.

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