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- Tasks: Lead the development of data pipelines and infrastructure for a cutting-edge AI platform.
- Company: High-growth AI company transforming operational workflows in the property sector.
- Benefits: Competitive salary, equity options, and the chance to shape the future of the platform.
- Other info: Work closely with founders in a dynamic, fast-paced environment.
- Why this job: Join early and make a real impact on a category-defining product.
- Qualifications: Strong Python skills and experience in building scalable data platforms.
The predicted salary is between 110000 - 130000 £ per year.
Lead Data Engineer wanted for a high-growth AI company building a platform that is transforming how operational workflows are managed within the property sector. Their product is already live with customers and handling real-world usage, and they are now entering a scaling phase as demand accelerates. The business is well-backed, with experienced founders, and a clear path toward becoming a category-defining platform in a large, underserved market.
This is an opportunity to join early and take full ownership of the data foundations that the entire platform will be built on.
- Build: pipelines, data infrastructure, ML/AI workflows
- Work directly with founders and shape technical direction
- High ownership, real impact from day one
What they are looking for:
- Strong Python + data engineering fundamentals
- Experience building scalable data pipelines / platforms
- Exposure to distributed systems (Kafka, Spark, Airflow etc.)
- Interest in AI/ML systems is a plus
Lead Data Engineer employer: Transparent Technology
Contact Detail:
Transparent Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data engineering projects. This is your chance to demonstrate your Python prowess and experience with scalable data pipelines.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of distributed systems like Kafka and Spark. Be ready to discuss how you've tackled challenges in past projects and how you can contribute to building robust data infrastructure.
✨Tip Number 4
Don't forget to apply through our website! We want to see your application and help you take that next step in your career. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience with Python, data engineering fundamentals, and any relevant projects that showcase your skills in building scalable data pipelines.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the opportunity at our high-growth AI company and how your background aligns with our mission to transform operational workflows in the property sector.
Showcase Your Technical Skills: Don’t forget to mention your experience with distributed systems like Kafka, Spark, or Airflow. If you have any projects related to AI/ML systems, be sure to include those as well – we love seeing practical applications of your skills!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Transparent Technology
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and data engineering fundamentals. Be ready to discuss your experience with building scalable data pipelines and platforms, as well as any exposure you have to distributed systems like Kafka, Spark, or Airflow.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in previous roles. Think about times when you had to build or optimise data infrastructure and be ready to explain your thought process and the impact of your solutions.
✨Demonstrate Your Passion for AI/ML
Even if it's not a strict requirement, showing an interest in AI and ML systems can set you apart. Familiarise yourself with current trends and be prepared to discuss how you see these technologies evolving in the property sector.
✨Engage with the Founders
Since you'll be working directly with the founders, make sure to ask insightful questions about their vision and the company's direction. This shows that you're not just interested in the role but also in contributing to the company's growth and success.