At a Glance
- Tasks: Design and build scalable data pipelines for high-profile projects.
- Company: Join a leading tech firm delivering modern data solutions.
- Benefits: Competitive pay, hybrid work model, and exciting projects.
- Other info: Ideal for those with 5+ years in data engineering and active SC clearance.
- Why this job: Make an impact in a secure environment with cutting-edge technology.
- Qualifications: Strong Python, PySpark, and AWS experience required.
We are looking for an experienced Senior Data Engineer to join a high-profile project delivering modern data solutions within a secure environment. This is a hybrid role which will require you to be on site 2 days per week in London.
Active SC Clearance is mandatory for this role – candidates without current SC clearance cannot be considered.
Key Responsibilities- Design and build scalable data pipelines
- Work across large-scale data platforms and cloud environments
- Collaborate with engineering and architecture teams to deliver high-quality solutions
- Strong experience with Python and PySpark
- Hands-on expertise in AWS
- Experience working with Databricks
- Ideally 5+ years working with this tech stack as a data engineer
- Proven background delivering data engineering solutions at scale
If this is a role that suits your skill set, you have active SC clearance and are available immediately then please apply for this job role directly or send me your CV.
SC Cleared Senior Data Engineer in London employer: Opus Recruitment Solutions Ltd
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions as a Senior Data Engineer will directly impact high-profile projects. With a focus on employee growth, we provide opportunities for professional development and the chance to work with cutting-edge technologies in a secure environment, all while enjoying the flexibility of a hybrid working model in the vibrant city of London.
Contact Details:
Opus Recruitment Solutions Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land SC Cleared Senior Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who might have insights into the company or role. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role requires strong experience with Python, PySpark, and AWS, make sure you can confidently discuss your past projects and how you’ve tackled challenges in these areas.
✨Tip Number 3
Showcase your problem-solving skills during interviews. Be ready to share specific examples of how you've designed and built scalable data pipelines or worked with large-scale data platforms. This will demonstrate your hands-on expertise and fit for the role.
✨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, it shows you’re serious about landing this Senior Data Engineer role with us.
We think you need these skills to ace SC Cleared Senior Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, PySpark, and AWS. We want to see how your skills match the job description, so don’t be shy about showcasing your relevant projects!
Show Off Your Experience:Since we’re looking for someone with 5+ years in data engineering, be sure to detail your past roles and responsibilities. Use specific examples of how you’ve designed and built scalable data pipelines.
Highlight Your SC Clearance:Active SC clearance is a must for this role, so make it clear in your application that you have it. This will save us time and help you stand out from other candidates.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the quickest way for us to receive your application and get the ball rolling on your potential new role with us!
How to prepare for a job interview at Opus Recruitment Solutions Ltd
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in Python, PySpark, and AWS. Brush up on your experience with Databricks too. Be ready to discuss specific projects where you've used these technologies, as this will show your hands-on expertise.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced while designing and building data pipelines. Think of examples that highlight your ability to deliver high-quality solutions under pressure, especially in a secure environment.
✨Understand the Importance of Collaboration
Since this role involves working with engineering and architecture teams, be ready to discuss how you’ve successfully collaborated in the past. Share examples that demonstrate your teamwork skills and how they contributed to project success.
✨Be Ready for Security Questions
Given the requirement for active SC clearance, expect questions around security protocols and compliance. Familiarise yourself with relevant regulations and be prepared to explain how you ensure data security in your work.
