Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build secure, scalable data platforms and design modern data pipelines.
- Company: Join a leading tech firm focused on innovative data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative team environment with mentorship opportunities.
- Why this job: Make a real impact by working with cutting-edge data technologies.
- Qualifications: Experience in data engineering, Python, SQL, and cloud environments.
The predicted salary is between 60000 - 80000 £ per year.
This is a high-impact Senior Data Engineering role focused on building secure, scalable data platforms from scratch. You’ll be working with complex, high-volume technical datasets, designing modern pipelines and enabling advanced analytics and ML workflows.
What You’ll Be Doing:
- Engineering scalable data platforms across cloud environments (AWS / Azure / GCP)
- Working with high-volume, complex datasets (streaming, telemetry, structured + unstructured)
- Developing automation, tooling, and data services to unlock insights
- Supporting ML workflows and data science pipelines
- Collaborating with Data Scientists, DevOps, and Engineering teams
- Evaluating and implementing modern data technologies
- Leading small technical workstreams and mentoring engineers
Core Tech Stack: Python, SQL ETL / ELT pipelines
Senior Data Engineer (SC Cleared) employer: Experis UK
Contact Detail:
Experis UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (SC Cleared)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a Senior Data Engineer role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving scalable data platforms and complex datasets. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and SQL skills. Practice common data engineering problems and be ready to discuss your experience with ETL/ELT pipelines and cloud environments like AWS, Azure, or GCP.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Senior Data Engineer (SC Cleared)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with building scalable data platforms and working with complex datasets. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background makes you a perfect fit for our team. We love hearing personal stories that connect your experience to the role.
Showcase Your Technical Skills: Since we’re looking for someone with expertise in Python, SQL, and ETL/ELT pipelines, make sure these skills are front and centre in your application. We want to know how you’ve used these technologies in real-world scenarios!
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’re considered for the role. Plus, it’s super easy – just follow the prompts and let us know why you’d be a great addition to our team!
How to prepare for a job interview at Experis UK
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in Python, SQL, and the specifics of ETL/ELT pipelines. Brush up on your knowledge of cloud environments like AWS, Azure, and GCP, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss past projects where you’ve tackled complex datasets or built scalable data platforms. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand the Importance of Collaboration
Since this role involves working closely with Data Scientists and DevOps teams, be ready to talk about your experience in cross-functional collaboration. Share examples of how you’ve successfully worked with others to achieve common goals.
✨Be Ready for Technical Challenges
Expect some hands-on technical questions or challenges during the interview. Practice coding problems related to data engineering and be prepared to explain your thought process clearly while solving them.