Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain large-scale data pipelines while mentoring fellow engineers.
- Company: Join a collaborative and inclusive engineering environment focused on growth.
- Benefits: Competitive salary, continuous learning opportunities, and influence over technical direction.
- Other info: Dynamic culture that values knowledge-sharing and personal development.
- Why this job: Make a real impact on data challenges and shape your own career path.
- Qualifications: Strong experience with Python and Apache Spark, plus leadership skills.
The predicted salary is between 70000 - 90000 £ per year.
Are you an experienced data engineer who enjoys solving complex data challenges and helping others grow? We're looking for a Lead Data Engineer to join a collaborative, inclusive engineering environment where teams rotate based on interests and development goals. You'll work on enterprise‑scale data pipelines, data‑sharing capabilities, and onboarding new data sources - with real ownership and the freedom to explore new technologies.
This role is perfect for someone who combines deep technical ability with a natural instinct for mentoring and leading others.
What you'll be doing
- Designing, building and maintaining large‑scale, production‑grade data pipelines
- Developing data‑sharing solutions and enabling the onboarding of new data sources across the enterprise
- Providing hands‑on technical leadership and mentoring junior and mid‑level engineers
- Introducing new tools, patterns and best practices to strengthen engineering quality and performance
What you'll bring
- Strong production experience with Python and Apache Spark
- Proven ability to lead, mentor and support engineering teams
- Solid STEM background with deep technical understanding
- Curiosity and willingness to learn new technologies and engineering approaches
Why this role?
You'll join a culture built around development, knowledge‑sharing and supporting engineers to shape their own career paths. You'll have influence over technical direction, exposure to diverse data challenges and the opportunity to make a real contribution to engineering capability across the organisation. If interested, apply now!
Lead Data Engineer in London employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer in London
✨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 lookout for opportunities. You never know who might have a lead or can refer you to a position that’s not even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and Apache Spark. This will give potential employers a taste of what you can do and how you tackle complex data challenges.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to data pipelines and mentoring. Be ready to discuss your past experiences and how you've led teams or introduced new tools and practices in your previous roles.
✨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 genuinely interested in joining our collaborative and inclusive engineering environment.
We think you need these skills to ace Lead Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead Data Engineer role. Highlight your experience with Python, Apache Spark, and any leadership roles you've had. We want to see how you can contribute to our collaborative environment!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for data engineering. Share specific examples of how you've solved complex data challenges and mentored others. Let us know why you're excited about joining StudySmarter!
Showcase Your Technical Skills: In your application, don't shy away from detailing your technical expertise. Mention any relevant projects or tools you've worked with, especially those related to data pipelines and data-sharing solutions. We love seeing hands-on experience!
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. This way, we can easily track your application and get back to you faster. We can't wait to see what you bring to the table!
How to prepare for a job interview at Lorien
✨Know Your Data Tools
Make sure you brush up on your knowledge of Python and Apache Spark. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in mentoring and leading teams. Think about situations where you helped junior engineers grow or introduced new best practices that improved team performance.
✨Understand the Company Culture
Familiarise yourself with the company's values around collaboration and continuous learning. Be prepared to discuss how you can contribute to this culture and support others in their development.
✨Ask Insightful Questions
Prepare thoughtful questions about the team's current data challenges and the technologies they are exploring. This shows your genuine interest in the role and helps you assess if it's the right fit for you.