At a Glance
- Tasks: Design and optimise cloud-based data pipelines on AWS for a high-profile government programme.
- Company: Join a leading tech team working on nationally significant projects.
- Benefits: Competitive pay, remote work options, and the chance to work with cutting-edge technology.
- Other info: Collaborative atmosphere with opportunities for professional growth.
- Why this job: Make a real impact while enhancing your skills in a secure cloud environment.
- Qualifications: Strong AWS experience, Terraform knowledge, and data pipeline expertise required.
The predicted salary is between 60000 - 80000 £ per year.
We'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 AWS
- Develop and maintain robust ETL processes to support complex data integration requirements
- Implement and manage Infrastructure as Code (IaC) 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 GitLab and implementing CI/CD pipelines
- Practical experience building data pipelines in AWS (eg EMR, PySpark)
- Solid understanding of ETL tooling (eg Informatica or similar)
AWS Data Engineer - SC Cleared employer: Sanderson Government & Defence
Join a forward-thinking organisation that values innovation and collaboration, offering an exceptional work culture where your contributions directly impact national projects. As an AWS Data Engineer, you'll enjoy competitive pay, flexible remote/hybrid working arrangements, and ample opportunities for professional growth within a supportive environment dedicated to advancing your skills in cutting-edge cloud technologies.
Contact Details:
Sanderson Government & Defence Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AWS Data Engineer - SC Cleared
✨Showcase Your Skills with a Public Portfolio
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We think you need these skills to ace AWS Data Engineer - SC Cleared
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like AWS Data Engineer - SC Cleared at Sanderson Government & 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!
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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 & 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 & 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!
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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!
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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!
