Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our team as a Senior Data Engineer, focusing on data architecture and pipeline development.
- Company: We are a forward-thinking tech company, dedicated to innovation and data-driven solutions.
- Benefits: Enjoy remote work flexibility, competitive pay, and opportunities for professional growth.
- Why this job: Be part of a dynamic culture that values creativity and collaboration while making a real impact.
- Qualifications: Experience in data engineering, proficiency in SQL and Python, and strong problem-solving skills required.
- Other info: This is a contract role for 6-12 months, offering up to £550 per day.
The predicted salary is between 66000 - 88000 £ per year.
Location: Remote-first (UK-based)
Rate: Up to £550 p/d
Contract: 6 - 12 months (Outside IR35)
Senior Data Engineer employer: trg.recruitment
Contact Detail:
trg.recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Make sure to showcase your experience with data engineering tools and technologies that are relevant to the role. Highlight any specific projects where you've successfully implemented data pipelines or worked with large datasets.
✨Tip Number 2
Network with current or former employees of StudySmarter on platforms like LinkedIn. Engaging with them can provide you with insights into the company culture and the specific skills they value in a Senior Data Engineer.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of data structures. Be ready to discuss your problem-solving approach and how you tackle data-related challenges.
✨Tip Number 4
Stay updated on the latest trends in data engineering, such as cloud technologies and big data frameworks. Being knowledgeable about current industry practices will demonstrate your commitment to the field and make you a more attractive candidate.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering. Focus on specific projects or technologies you've worked with that align with the job description, such as data pipelines, ETL processes, and cloud platforms.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and explains why you're a great fit for the role. Mention your understanding of the company's goals and how your skills can help achieve them.
Highlight Technical Skills: In your application, emphasise your technical skills relevant to the position, such as proficiency in SQL, Python, or any data warehousing tools. Be specific about your experience with these technologies.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Senior Data Engineer.
How to prepare for a job interview at trg.recruitment
✨Showcase Your Technical Skills
As a Senior Data Engineer, you'll need to demonstrate your expertise in data architecture, ETL processes, and database management. Be prepared to discuss specific technologies you've worked with, such as SQL, Python, or cloud platforms like AWS or Azure.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Companies often present real-world scenarios to see how you would approach data challenges. Practise articulating your thought process and the steps you would take to resolve issues.
✨Highlight Your Collaboration Skills
Data Engineers often work closely with Data Scientists and Analysts. Be ready to share examples of how you've successfully collaborated on projects, communicated technical concepts to non-technical stakeholders, and contributed to team success.
✨Research the Company’s Data Strategy
Understanding the company's data strategy can give you an edge. Familiarise yourself with their products, services, and any recent news related to their data initiatives. This knowledge will help you tailor your responses and show genuine interest in the role.
