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For Companies At a Glance
- Tasks: Create and maintain analytics infrastructure, developing efficient data solutions.
- Company: Join DWP, a leader in data engineering with a collaborative culture.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Why this job: Make a real impact by shaping data solutions that drive business success.
- Qualifications: Experience with SQL and SAS, plus a knack for problem-solving.
- Other info: Work in a dynamic environment with a focus on continuous improvement.
The predicted salary is between 40000 - 50000 £ per year.
On behalf of DWP, we are looking for a SAS Data Engineer for a 12‑month (Inside IR35) hybrid contract based up to 3 days per week in Manchester, Blackpool, Birmingham, Leeds, Sheffield or Newcastle. SC Clearance is an essential requirement for this role; you must be willing and eligible for security checks. Due to the exceptional requirements, preference may be given to candidates who meet all essential criteria and hold active security clearance.
Data Engineers create and maintain analytics infrastructure, laying the foundation for data needs. They develop, construct, maintain and test architectures (e.g., databases and large‑scale processing systems), implement data flows to connect operational systems, and write and execute ETL scripts and code. As a SAS Data Engineer you will develop accurate, efficient data solutions that meet customer needs and agreed timescales. You ensure stability, robustness and resilience of your designs, effect changes where necessary, support continuous improvement, and provide leadership to develop Associate Data Engineers and other data‑engineering functions for customers.
Responsibilities
- Translate business requirements so they are clear, robust, and can be transformed into reusable, production‑ready code or effective data models.
- Define version control mechanisms and strategies for the source code of products.
- Support Quality Assurance colleagues and Data Managers with day‑to‑day testing and live running of data products and services.
- Shape solutions in a fit‑for‑purpose way, following agreed principles and contributing to the overall Data Engineer Development lifecycle.
- Perform data profiling and quality measurements.
- Design and develop reusable metadata libraries.
- Own the stability of new products, ensuring ongoing robustness, resilience and stability.
- Identify, manage and resolve issues preventing delivery or continuous development of products.
- Support the growth of the team by keeping abreast of market and industry trends and sharing knowledge and experience.
Technical Skills
- Design, develop, test, correct and document simple programs or scripts under guidance.
- Communicate findings appropriately and give tactical recommendations.
- Identify simple patterns and trends, investigate problems and opportunities in existing processes, and recommend solutions.
- Understand core technical concepts related to the role and apply them.
Essential Skills
- SQL and SAS
- SAS Enterprise Guide
- SAS Viya (preferential)
- Unit testing
- Design/understanding of Business Requirements
This role can only be worked within the UK.
SAS Data Engineer in Manchester employer: Public Sector Resourcing, managed by AMS
Contact Detail:
Public Sector Resourcing, managed by AMS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SAS Data Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with SAS. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with SQL and SAS, and maybe even run through some coding challenges. We want you to shine!
✨Tip Number 3
Showcase your projects! If you've worked on any data solutions or ETL processes, make sure to highlight them in your conversations. Real-world examples can set you apart from the competition.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace SAS Data Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the SAS Data Engineer role. Highlight your experience with SQL, SAS, and any relevant projects that showcase your skills in data engineering. We want to see how you can bring value to our team!
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 understanding of the responsibilities and how your background aligns with them. We love seeing passion and enthusiasm!
Showcase Your Technical Skills: Don’t forget to highlight your technical skills in your application. Be specific about your experience with SAS Enterprise Guide and SAS Viya, as well as any unit testing you've done. We’re looking for candidates who can hit the ground running!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Public Sector Resourcing, managed by AMS
✨Know Your SAS Inside Out
Make sure you brush up on your SAS skills, especially SAS Enterprise Guide and SAS Viya if you have experience with it. Be ready to discuss how you've used these tools in past projects, as well as any challenges you've faced and how you overcame them.
✨Understand the Business Requirements
Familiarise yourself with how to translate business requirements into technical solutions. Prepare examples of how you've successfully done this before, focusing on your ability to create reusable, production-ready code or effective data models.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific instances where you've identified and resolved issues in data processes. Highlight your analytical skills and how you've contributed to continuous improvement in your previous roles.
✨Emphasise Team Collaboration
Since you'll be supporting and leading Associate Data Engineers, it's crucial to demonstrate your teamwork skills. Share experiences where you've collaborated with others, mentored junior staff, or contributed to a positive team environment.