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- Tasks: Lead a team in engineering data pipelines and improving legacy systems.
- Company: Dynamic technology firm focused on large-scale B2C data projects.
- Benefits: Competitive rate of up to £750/day for fully remote work.
- Why this job: Make an impact in high-volume data environments while leading innovative projects.
- Qualifications: Strong system design, coding skills, and experience in data engineering.
- Other info: Contract until the end of 2026 with excellent career growth potential.
The predicted salary is between 54000 - 90000 £ per year.
A technology firm is seeking a Staff Data Engineer to lead a technical team focused on large-scale B2C data projects. The role involves directing the engineering of data pipelines, improving legacy systems, and ensuring best practices in documentation and sustainable engineering methods.
Candidates should have strong system design and coding skills and experience in high-volume data environments.
This position offers a contract until the end of 2026, with a competitive rate of up to £750/day for fully remote work across the UK.
Staff Data Engineer & Technical Lead (Remote, UK) employer: trg.recruitment
Contact Detail:
trg.recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Engineer & Technical Lead (Remote, UK)
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with data engineering. A friendly chat can lead to insider info about job openings or even referrals that could give you an edge.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving data pipelines and system design. This will not only demonstrate your expertise but also give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to data engineering. We recommend practising coding challenges and discussing your thought process out loud. This will help you articulate your problem-solving skills during the interview.
✨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 and engaged with our platform.
We think you need these skills to ace Staff Data Engineer & Technical Lead (Remote, UK)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your system design and coding skills in your application. We want to see how you’ve tackled high-volume data environments before, so don’t hold back on those examples!
Tailor Your Application: Take a moment to customise your application for this role. Mention your experience with large-scale B2C data projects and how you can lead a technical team. We love seeing candidates who really get what we’re about!
Keep It Clear and Concise: When writing your application, clarity is key! Use straightforward language and structure your thoughts well. We appreciate a well-organised application that’s easy to read.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at trg.recruitment
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data engineering, especially in high-volume environments. Brush up on your experience with data pipelines and legacy systems, as you’ll likely be asked to discuss your past projects and how you’ve improved existing systems.
✨Showcase Your Leadership Skills
As a Staff Data Engineer & Technical Lead, demonstrating your ability to lead a team is crucial. Prepare examples of how you've directed teams in previous roles, focusing on your approach to mentoring and guiding engineers through complex projects.
✨Be Ready for Technical Challenges
Expect technical questions that test your system design and coding skills. Practice solving problems on the spot, and be prepared to explain your thought process clearly. This will show your analytical skills and how you tackle challenges in real-time.
✨Highlight Best Practices
Discuss your commitment to best practices in documentation and sustainable engineering methods. Be ready to share specific examples of how you’ve implemented these practices in your work, as this will demonstrate your dedication to quality and efficiency in data engineering.
