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A leading company in the data sector is seeking a Senior Data Engineer to design and implement secure cloud-native data solutions. This fully remote role requires active SC clearance and offers the chance to work on high-impact government programmes, emphasizing innovation and engineering excellence.
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We're looking for an experienced Senior Data Engineer to lead the design and delivery of secure, scalable, cloud-native data solutions across high-impact central government programmes. This is a fully remote role, but active SC clearance is essential. Applicants without current SC clearance cannot be considered.
As a senior member of the Data Engineering team, you'll play a pivotal role in designing high-quality data pipelines, guiding delivery teams, and collaborating with cross-functional experts to solve complex data challenges. You'll champion engineering best practices and bring thought leadership to technical planning, client engagement, and innovation.
Designing and delivering robust, secure data pipelines using tools like Azure Data Factory, dbt, Fabric, and Dataverse
Leading technical implementation across projects with strong Python and SQL skills
Supporting test strategies and automation to ensure data quality and reliability
Mentoring engineers and fostering a culture of technical excellence and continuous improvement
Engaging directly with clients and stakeholders to translate requirements into solutions
Promoting engineering standards and contributing to internal capability building
Active SC Clearance
Proven experience with Microsoft Azure (Data Lake, Synapse, Purview)
Strong understanding of secure data handling, DevOps, and compliance
Experience with structured and unstructured data sources (e.g., Azure SQL, MongoDB)
Familiarity with Power BI, including data modelling and DAX
Government/defence sector experience
Microsoft/Azure certifications or equivalent