Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the transformation and scaling of our data platform while managing automation and data integrity.
- Company: LendInvest, a forward-thinking company based in Glasgow.
- Benefits: Competitive salary, hybrid working, and 25 days holiday.
- Why this job: Join us to shape the future of data engineering and make a real impact.
- Qualifications: Expertise in Python, SQL, and cloud-based data architectures required.
The predicted salary is between 60000 - 80000 £ per year.
LendInvest in Glasgow is looking for a Data Engineering Lead to oversee and manage our data platform's transformation and scaling. This hands-on leadership role requires expertise in Python and SQL, as well as experience with cloud-based data architectures. The successful candidate will build a new data engineering function, automate data processes, and ensure data integrity.
Benefits include a competitive salary, hybrid working policy, and 25 days holiday, among others.
Data Platform Lead: Transform & Own Pipelines employer: LendInvest
Contact Detail:
LendInvest Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Lead: Transform & Own Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering space on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and SQL. We recommend including any cloud-based data architectures you've worked with. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss how you would transform and scale a data platform. We suggest practicing with a friend or using mock interview platforms to build your confidence.
✨Tip Number 4
Apply through our website! We make it super easy for you to submit your application directly. Plus, it shows us you're genuinely interested in joining our team at LendInvest. Don’t miss out on this opportunity!
We think you need these skills to ace Data Platform Lead: Transform & Own Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and cloud-based data architectures. We want to see how your skills align with the role of Data Engineering Lead, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about transforming and scaling data platforms. We love seeing candidates who can connect their personal experiences to our mission at LendInvest.
Showcase Leadership Experience: Since this is a hands-on leadership role, make sure to highlight any previous leadership or team management experience. We’re looking for someone who can build a new data engineering function, so let us know how you've led teams in the past!
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 don’t miss out on any important updates regarding your application status!
How to prepare for a job interview at LendInvest
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any cloud-based data architectures you've worked with. This will show that you’re not just familiar with the tools, but that you can apply them effectively.
✨Showcase Your Leadership Skills
Since this role involves building a new data engineering function, be prepared to talk about your leadership experience. Share examples of how you've led teams or projects in the past, focusing on how you managed challenges and drove results. This will demonstrate your capability to oversee and manage the transformation of the data platform.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific scenarios related to data integrity and automation. Think through potential challenges and solutions beforehand. This will help you articulate your thought process clearly and show that you can think critically under pressure.
✨Research LendInvest's Culture
Take some time to understand LendInvest’s values and culture. Knowing their approach to data and innovation can help you tailor your responses to align with their goals. Plus, it shows that you’re genuinely interested in the company and not just the position.