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- Tasks: Design and build robust SAS data solutions for impactful public sector projects.
- Company: Join a high-performing team in a collaborative and supportive environment.
- Benefits: Enjoy hybrid working, skill growth opportunities, and a flexible work model.
- Other info: Eligibility for UK Security Clearance is necessary.
- Why this job: Make a real difference in fraud detection and system transformation.
- Qualifications: Strong SAS experience and background in data engineering required.
The predicted salary is between 45000 - 55000 £ per year.
We’re looking for an experienced SAS Data Engineer to join a high-performing team delivering impactful data solutions within a major public sector programme. This is an opportunity to work on projects that directly support fraud detection, revenue optimisation, and large-scale system transformation.
What You’ll Be Doing
- Designing and building robust SAS-based data solutions
- Developing and optimising data pipelines for analytics and reporting
- Supporting fraud detection and advanced data use cases
- Collaborating with cross-functional teams in an agile environment
- Ensuring performance, scalability, and security of data platforms
What We’re Looking For
- Strong experience with SAS 9.x and SAS Viya
- Solid background in data engineering, ETL, and data modelling
- Experience with workflow orchestration (e.g., Airflow or similar)
- Understanding of performance optimisation and scalable systems
- Strong communication and stakeholder engagement skills
Why Join?
- Work on meaningful, high-impact public sector projects
- Hybrid working model with flexibility
- Opportunities to grow your skills and career
- Collaborative and supportive team culture
Please note: This role requires eligibility for UK Security Clearance (SC), including 5 years continuous UK residency.
SAS Data Engineer in Newport employer: 83zero
Contact Detail:
83zero Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SAS Data Engineer in Newport
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that SAS Data Engineer role.
✨Tip Number 2
Prepare for those interviews by brushing up on your SAS skills and data engineering concepts. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions and scenarios.
✨Tip Number 3
Showcase your projects! If you’ve worked on any relevant data solutions or optimised pipelines, make sure to highlight them in your discussions. We love seeing real-world applications of your skills during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate candidates who want to make an impact in the public sector.
We think you need these skills to ace SAS Data Engineer in Newport
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SAS 9.x and SAS Viya. We want to see how your skills align with the role, so don’t be shy about showcasing your data engineering and ETL expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about working on public sector projects and how your background makes you a perfect fit for our team at StudySmarter.
Showcase Your Collaboration Skills: Since we work in cross-functional teams, it’s important to highlight any experience you have in agile environments. Share examples of how you’ve successfully collaborated with others to deliver impactful data solutions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!
How to prepare for a job interview at 83zero
✨Know Your SAS Inside Out
Make sure you brush up on your SAS 9.x and SAS Viya skills. Be ready to discuss specific projects where you've designed and built data solutions using these tools. Highlight any challenges you faced and how you overcame them.
✨Showcase Your Data Engineering Skills
Prepare to talk about your experience with ETL processes and data modelling. Have examples ready that demonstrate your ability to develop and optimise data pipelines, especially in relation to analytics and reporting.
✨Familiarise Yourself with Workflow Orchestration
If you've worked with tools like Airflow or similar, be sure to mention this during the interview. Discuss how you've used these tools to manage workflows effectively and ensure smooth data processing.
✨Communicate Effectively
Strong communication is key, especially when collaborating with cross-functional teams. Practice explaining complex technical concepts in simple terms, as you'll need to engage with stakeholders who may not have a technical background.