Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build scalable data pipelines and optimise data environments for health-tech solutions.
- Company: Dynamic health-tech company focused on wellbeing and innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact in health-tech by transforming data into actionable insights.
- Qualifications: Experience in data warehousing and strong problem-solving skills.
- Other info: Join a passionate team dedicated to innovative health solutions.
The predicted salary is between 48000 - 72000 £ per year.
A health-tech company in Greater London seeks a Lead Analytics Engineer to build the core data infrastructure. In this role, you will manage dbt transformation layers and optimise Snowflake environments to ensure data reliability and performance. Ideal candidates possess deep experience in data warehousing and a passion for transforming ambiguous requirements into clear data structures. Join a growing team dedicated to wellbeing and innovative health solutions.
Lead Analytics Engineer: Build Scalable Data Pipelines employer: Healf
Contact Detail:
Healf Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Analytics Engineer: Build Scalable Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the health-tech space, especially those who work with data pipelines. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your experience with dbt transformations and Snowflake environments. This will help you stand out and demonstrate your ability to tackle real-world challenges.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics engineering scenarios. Think about how you’d approach ambiguous requirements and turn them into clear data structures. We want to see your thought process!
✨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 about their job search.
We think you need these skills to ace Lead Analytics Engineer: Build Scalable Data Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data warehousing and building scalable data pipelines. We want to see how your skills align with the role, 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 ambiguous requirements into clear data structures. Let us know what excites you about working in health-tech.
Showcase Your Technical Skills: Don’t forget to mention your expertise with dbt and Snowflake. We’re looking for someone who can optimise environments and ensure data reliability, so make sure these skills are front and centre in your application.
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’re considered for this exciting opportunity in our growing team!
How to prepare for a job interview at Healf
✨Know Your Data Inside Out
Before the interview, make sure you brush up on your knowledge of data warehousing concepts and tools like dbt and Snowflake. Be ready to discuss how you've optimised data pipelines in the past and how you can apply that experience to their specific needs.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've transformed ambiguous requirements into clear data structures. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewers to see your thought process and impact.
✨Understand Their Mission
Research the health-tech company’s mission and values. Be prepared to discuss how your passion for wellbeing aligns with their goals. This shows that you're not just interested in the role, but also in contributing to their innovative health solutions.
✨Ask Insightful Questions
Prepare thoughtful questions about their current data infrastructure and challenges they face. This demonstrates your genuine interest in the role and helps you assess if the company is the right fit for you. Plus, it opens up a dialogue that can showcase your expertise.
