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- Tasks: Lead the design and delivery of secure, scalable data solutions for government projects.
- Company: Join a dynamic team focused on impactful central government programmes.
- Benefits: Enjoy a fully remote role with competitive salary and opportunities for professional growth.
- Why this job: Make a difference in public service while working with cutting-edge technology and mentoring others.
- Qualifications: Active SC clearance and strong experience with Microsoft Azure data services required.
- Other info: Ideal for those passionate about data engineering in secure environments.
The predicted salary is between 56000 - 85000 £ per year.
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; in this senior-level role, you will take ownership of complex data engineering solutions, guiding delivery teams, shaping technical implementation, and engaging directly with stakeholders. You will be central to ensuring that solutions are robust, maintainable, and aligned with government data security and compliance standards.
- 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 are looking to lead innovative projects that have real-world public impact, apply now.
Contact Detail:
DataCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Big Data)
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Azure Data Factory and dbt. Having hands-on experience or projects showcasing your skills with these technologies can set you apart during discussions.
✨Tip Number 2
Since this role requires active SC clearance, ensure you understand the security protocols and compliance standards relevant to government data handling. Being able to discuss these topics confidently will demonstrate your readiness for the position.
✨Tip Number 3
Engage with the data engineering community online, particularly those focused on Azure and government projects. Networking can lead to valuable insights and connections that may help you during the interview process.
✨Tip Number 4
Prepare to discuss your experience with mentoring and leading teams, as this role involves guiding delivery teams. Be ready to share examples of how you've contributed to a culture of continuous learning in previous positions.
We think you need these skills to ace Data Engineer (Big Data)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Microsoft Azure data services, Python, SQL, and any relevant projects you've worked on. Use specific examples that demonstrate your ability to lead technical delivery and mentor others.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the impact of the projects you'll be working on. Mention your active SC clearance and how your background aligns with the essential requirements listed in the job description.
Showcase Relevant Skills: Emphasise your proficiency in tools like Azure Data Factory, dbt, and Power BI. Discuss your experience with both structured and unstructured data sources, and how you ensure data quality and compliance in your work.
Highlight Continuous Learning: Mention any relevant certifications or training you've completed, especially those related to Microsoft/Azure. This shows your commitment to staying updated in the field and contributing to a culture of technical excellence.
How to prepare for a job interview at DataCareers
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Microsoft Azure data services in detail. Highlight specific projects where you've used tools like Azure Data Factory, dbt, and Fabric, and be ready to explain how you ensured data security and compliance.
✨Demonstrate Problem-Solving Skills
Expect scenario-based questions that assess your ability to handle complex data engineering challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers and illustrate your problem-solving approach.
✨Engage with Stakeholders
Since this role involves direct engagement with stakeholders, practice articulating how you translate business requirements into technical solutions. Be ready to discuss how you’ve successfully communicated with non-technical team members in the past.
✨Emphasise Continuous Learning
As mentoring is a key part of this role, share examples of how you’ve contributed to a culture of learning in previous positions. Discuss any relevant certifications or training you've pursued, especially in relation to Azure or data engineering best practices.
