At a Glance
- Tasks: Design and optimise cloud-based data pipelines on AWS for a high-profile government programme.
- Company: Join a diverse team working on critical national projects in a secure environment.
- Benefits: Competitive pay of £490 per day, flexible hybrid/remote work options, and immediate start.
- Other info: Inclusive workplace welcoming diverse backgrounds; support available throughout the recruitment process.
- Why this job: Make a real impact on significant government initiatives while using cutting-edge AWS technologies.
- Qualifications: Active SC Clearance, strong AWS experience, and proficiency in Python and Terraform.
The predicted salary is between 60000 - 80000 £ per year.
AWS Data Engineer - SC Cleared UK (Remote/Hybrid) | £490 per day | 6 Months | Inside IR35We're seeking an experienced SC Cleared AWS Data Engineer to support a high-profile Central Government programme delivering critical data capabilities within a secure cloud environment.
This is an excellent opportunity to contribute to nationally significant work while leveraging modern AWS and data engineering technologies.
Key Responsibilities Design, build, and optimise scalable cloud-based data pipelines on AWSDevelop and maintain robust ETL processes to support complex data integration requirements Implement and manage Infrastructure as Code (Ia C) using Terraform Work within established CI/CD pipelines to enable automated, reliable deployment of data solutions Process, transform, and analyse large datasets using distributed frameworks Collaborate with cross-functional teams including architects, analysts, and stakeholders across government Required Skills & Experience Strong hands-on experience with AWS cloud services (data-focused services preferred)Proven expertise with Infrastructure as Code (Terraform)Experience working with Git Lab and implementing CI/CD pipelines Practical experience building data pipelines in AWS (e. g.
Informatica or similar)Strong background in data processing and transformation Proficiency in Python and Py Spark Essential Requirements Active SC Clearance (must be valid and transferable)Demonstrable experience working within UK Central Government environments Strong understanding of working in secure, regulated, or classified environments Ability to work effectively within structured delivery frameworks Desirable Experience with large-scale or legacy system migration to cloud Knowledge of data governance, security, and compliance in public sector environments This role offers an immediate start for the right candidate.
If you're a skilled AWS Data Engineer with active SC clearance and Central Government experience, we'd love to hear from you.
We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives.
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.
AWS Data Engineer - Hybrid/Remote in London employer: Sanderson Government and Defence
Join a forward-thinking organisation that values user-centred design and offers a collaborative work environment in the heart of London. With a strong commitment to diversity and inclusion, we provide our employees with opportunities for professional growth while working on impactful government projects that shape digital services. Enjoy a flexible working model that balances on-site collaboration with remote work, ensuring a rewarding and meaningful career path.
Contact Details:
Sanderson Government and Defence Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AWS Data Engineer - Hybrid/Remote in London
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
✨Pitch Your Services Directly to Companies
Don't just wait for freelancing platforms to bring clients to you—be proactive! Research companies that could benefit from data science services and craft tailored pitches. Mention specific pain points you can address for them. Let’s get that freelance hustle going!
We think you need these skills to ace AWS Data Engineer - Hybrid/Remote in London
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like AWS Data Engineer - Hybrid/Remote at Sanderson Government and Defence, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at Sanderson Government and Defence.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at Sanderson Government and Defence
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
