Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop scalable data solutions using AWS for impactful projects.
- Company: Join a diverse and inclusive tech community focused on innovative resourcing solutions.
- Benefits: Competitive daily rate, flexible working, and potential for contract extension.
- Why this job: Make a real difference by solving complex data challenges in a collaborative environment.
- Qualifications: Experience in data engineering, AWS, and strong SQL skills required.
- Other info: Proactive team players welcome; we support diverse backgrounds and perspectives.
The predicted salary is between 42000 - 55000 £ per year.
Contract Overview
- Duration: 5 months (with potential for extension)
- Rate: Up to £525 per day
- IR35 Status: Outside IR35
- Clearance: Active, SC Clearance is essential
Role Responsibilities
- Design, develop, and maintain scalable data engineering solutions
- Build and optimise batch and streaming data pipelines to support business‑critical use cases
- Work with large, complex datasets, ensuring high levels of data quality, integrity, and availability
- Develop and manage data models, schemas, and database structures
- Deploy and manage cloud‑based data infrastructure within AWS
- Collaborate with cross‑functional teams including analysts, architects, and stakeholders to deliver data solutions aligned with business needs
- Ensure a strong documentation‑first approach, producing clear and maintainable technical documentation
- Monitor, troubleshoot, and improve data workflows and system performance
Technical Skills & Experience Required
- Strong grounding in data engineering principles, patterns, and best practices
- Proven experience with database design and management
- Hands‑on experience building data pipelines (both batch and streaming)
- Strong experience working within AWS environments, including S3, Athena, Lambda, Glue, CloudWatch, EC2, MSK
- Experience with containerisation and orchestration tools such as Docker and Kubernetes
- Advanced SQL skills and experience handling large‑scale datasets
Personal Attributes
- Proactive and highly organised, with the ability to manage workload effectively
- Strong collaborator, comfortable working within multi-disciplinary teams
- Excellent communication and stakeholder management skills
- A natural problem solver, particularly when working with complex data challenges
- Adaptable and versatile, willing to contribute across different areas as required
Reasonable Adjustments
Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.
Recruitment Support
If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
SC Cleared Data Engineer - AWS employer: Sanderson Government & Defence
Contact Detail:
Sanderson Government & Defence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SC Cleared Data Engineer - AWS
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who have experience with AWS. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects you've worked on. This is a great way to demonstrate your hands-on experience and problem-solving abilities to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with AWS tools like S3 and Lambda, and don’t forget to highlight your collaboration skills with cross-functional teams.
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are excited about joining us. Plus, it gives you a better chance to stand out in the crowd!
We think you need these skills to ace SC Cleared Data Engineer - AWS
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the SC Cleared Data Engineer role. Highlight your experience with AWS and data engineering principles, and don’t forget to mention any relevant projects you've worked on that showcase your skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention your proactive nature and how you’ve successfully collaborated with cross-functional teams in the past.
Showcase Your Technical Skills: Be specific about your technical skills in your application. List your hands-on experience with AWS services like S3, Lambda, and Glue, and don’t shy away from mentioning your advanced SQL skills and experience with data pipelines.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Sanderson Government & Defence
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering principles and best practices. Be ready to discuss how you've applied these in past projects, especially when it comes to building and optimising data pipelines.
✨Show Off Your AWS Skills
Since this role requires strong experience with AWS, be prepared to talk about specific services like S3, Lambda, and Glue. Share examples of how you've deployed cloud-based data infrastructure and any challenges you faced along the way.
✨Prepare for Technical Questions
Expect technical questions that dive deep into SQL and database management. Practise explaining your thought process when handling large datasets and troubleshooting data workflows, as this will showcase your problem-solving skills.
✨Highlight Collaboration and Communication
This role involves working with cross-functional teams, so be ready to discuss your experience collaborating with analysts and stakeholders. Share examples of how you’ve communicated complex data solutions clearly and effectively.