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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 competitive salary, remote work flexibility, and opportunities for professional growth.
- Why this job: Be at the forefront of data engineering, solving complex challenges and driving innovation.
- Qualifications: Must have active SC clearance and strong experience with Azure and data handling.
- Other info: This role is fully remote, perfect for tech-savvy individuals looking to make a difference.
The predicted salary is between 72000 - 84000 £ per year.
We are 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 will 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 will champion engineering best practices and bring thought leadership to technical planning, client engagement, and innovation.
What You’ll Be Doing:
- 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
You’ll Need:
- 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
Desirable:
- Government/defence sector experience
- Microsoft/Azure certifications or equivalent
- Experience delivering AI-driven data solutions
Senior Data Engineer (London) employer: DataCareers
Contact Detail:
DataCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (London)
✨Tip Number 1
Make sure to highlight your active SC clearance in any conversations or networking opportunities. This is a crucial requirement for the role, and mentioning it upfront can set you apart from other candidates.
✨Tip Number 2
Engage with professionals in the government and defence sectors on platforms like LinkedIn. Building connections with individuals already working in these areas can provide insights into the role and potentially lead to referrals.
✨Tip Number 3
Familiarise yourself with the specific tools mentioned in the job description, such as Azure Data Factory and dbt. Consider creating a small project or case study that showcases your skills with these technologies to discuss during interviews.
✨Tip Number 4
Prepare to discuss your experience with mentoring and leading teams. As a senior position, demonstrating your ability to guide others and promote best practices will be key in making a strong impression.
We think you need these skills to ace Senior Data Engineer (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Microsoft Azure, Python, and SQL. Emphasise any previous roles where you designed data pipelines or worked on government projects, as this will resonate well with the hiring team.
Craft a Strong Cover Letter: In your cover letter, address your active SC clearance and explain how your skills align with the job requirements. Mention specific tools like Azure Data Factory and your experience with both structured and unstructured data sources to demonstrate your fit for the role.
Showcase Relevant Projects: If possible, include examples of past projects that involved secure data handling and cloud-native solutions. Highlight your role in mentoring others and promoting engineering standards, as these are key aspects of the position.
Proofread and Format: Before submitting your application, ensure that your documents are free from errors and formatted professionally. A clean, well-organised application reflects your attention to detail, which is crucial for a Senior Data Engineer.
How to prepare for a job interview at DataCareers
✨Showcase Your SC Clearance
Since active SC clearance is a must for this role, make sure to highlight your current status and any relevant experiences that demonstrate your understanding of secure data handling and compliance.
✨Demonstrate Technical Expertise
Be prepared to discuss your experience with tools like Azure Data Factory, Python, and SQL. Bring examples of past projects where you designed and delivered data pipelines, showcasing your problem-solving skills.
✨Engage in Client-Centric Conversations
As the role involves direct engagement with clients, practice articulating how you translate technical requirements into solutions. Share examples of how you've successfully collaborated with stakeholders in previous roles.
✨Emphasise Mentorship and Leadership
Highlight your experience in mentoring junior engineers and fostering a culture of excellence. Discuss how you've contributed to team development and promoted engineering standards in your previous positions.
