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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: Must have active SC clearance and strong experience with Azure data services and data handling.
- 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.
Data Engineer (Big Data) employer: DataCareers
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, especially those focused on cloud-native solutions. Networking can provide insights into current trends and challenges, which you can reference in conversations with our team.
✨Tip Number 4
Prepare to discuss your mentoring experiences and how you've contributed to a culture of continuous learning. This is crucial for a senior role, and sharing specific examples can highlight your leadership capabilities.
We think you need these skills to ace Data Engineer (Big Data)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Data Engineer position. Familiarise yourself with the tools and technologies mentioned in the job description, such as Azure Data Factory, Python, and SQL.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your expertise in Microsoft Azure data services, secure data handling, and any experience with government projects or compliance standards.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the public sector's needs. Mention specific projects or experiences that demonstrate your ability to lead technical delivery and mentor other engineers.
Highlight Your SC Clearance: Since active SC clearance is essential for this role, make sure to mention it prominently in your application. This will reassure the employer of your eligibility to work on sensitive government projects.
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 compliance with data security standards.
✨Demonstrate Problem-Solving Skills
Expect to face scenario-based questions that assess your ability to handle complex data engineering challenges. Use the STAR method (Situation, Task, Action, Result) to structure your responses and illustrate your problem-solving approach.
✨Engage with Stakeholders
Since this role involves direct engagement with stakeholders, practice articulating how you would translate business requirements into technical solutions. Be ready to discuss how you’ve successfully communicated technical concepts to non-technical audiences in the past.
✨Emphasise Continuous Learning
As a senior engineer, mentoring others and contributing to a culture of learning is crucial. Share examples of how you've supported junior engineers or contributed to team knowledge sharing, and express your commitment to staying updated with industry trends and technologies.
