Data Engineer

Data Engineer

Location: Long Stratton, Norwich, Norfolk

Salary: £63,000 per annum

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.

Closing date: 28th June 2026

Shortlist date: 29thJune 2026

Interview date: TBC