Job Description

Senior Data Engineer – SC Cleared

Location: Remote (UK-based)
Salary: £70,000 – £85,000 per annum
Contract: Full-Time | Central Government Projects

We are hiring a highly skilled Senior Data Engineer to lead the design and delivery of secure, scalable, cloud-native data solutions for central government programmes. This is a fully remote position; however, active SC clearance is essential and a requirement for consideration.

In this senior-level role, you’ll take ownership of complex data engineering solutions, guiding delivery teams, shaping technical implementation, and engaging directly with stakeholders. You’ll be central to ensuring that solutions are robust, maintainable, and aligned with government data security and compliance standards.

Key Responsibilities:

• Lead technical delivery of data pipelines and integration workflows using tools such as Azure Data Factory, dbt, Fabric, and Dataverse

• Develop secure, scalable solutions using Python, SQL, and cloud-native platforms

• Ensure testability and reliability of pipelines, supporting data quality and automated testing strategies

• Mentor engineers and contribute to a culture of continuous learning and technical excellence

• Translate business and data requirements into technical architecture

• Contribute to engineering standards, patterns, and delivery methodologies

Essential Requirements:

• Active SC clearance

• Strong experience with Microsoft Azure data services, including Data Lake, Synapse, and Purview

• Deep knowledge of secure data handling, DevOps for data pipelines, and compliance standards

• Experience with both structured and unstructured data sources (e.g. Azure SQL, MongoDB)

• Proficiency in Power BI, including DAX and data modelling

Desirable:

• Experience working in secure government or defence environments

• Microsoft/Azure technical certifications

• Background in delivering AI or machine learning-driven data solutions

If you’re looking to lead innovative projects that have real-world public impact, apply now.