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- Tasks: Lead the design and development of data pipelines and warehouses for a health tech scale-up.
- Company: Join a world-class healthcare scale-up with products live in 12 countries and 8 languages.
- Benefits: Enjoy hybrid working, competitive salary, and the chance to work in a fast-paced environment.
- Why this job: Be part of a growing team making a real impact in healthcare technology.
- Qualifications: 8+ years of experience in data engineering with expertise in Snowflake, SQL, and Python.
- Other info: Opportunity to mentor junior engineers and shape the future of data solutions.
The predicted salary is between 72000 - 108000 £ per year.
Hybrid working - 1 day per week in central London
£90-110k DoE
This small, world-class, healthcare scale-up is seeking a topflight Lead Data Engineer to lead their data pipelines and warehouses. The company’s mobile, web and data products are live in 12 countries and 8 languages, spanning 3 AWS regions. Their business is growing very strongly.
The role will suit a high-energy, pro-active Data specialist with expertise gained in fast moving, agile, start-up/equiv environments.
Requirements:- Successful academic background in your specialist discipline
- 8+ years' experience in architecting, developing, scaling and monitoring complex data pipelines
- Expert in cloud data platforms e.g. Snowflake, Databricks, BigQuery, Redshift
- Expert in SQL and Python
- Strong understanding of data development best practices
- Strong understanding of design patterns and architectural best practices
- Ability to see the big picture and break it down into manageable chunks
- Experience of mentoring other data engineers
Lead Data Engineer - Snowflake, SQL, Python, health tech scaleup employer: Richard Wheeler Associates Careers
Contact Detail:
Richard Wheeler Associates Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer - Snowflake, SQL, Python, health tech scaleup
✨Tip Number 1
Network with professionals in the health tech and data engineering fields. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends, which can give you an edge in interviews.
✨Tip Number 2
Showcase your expertise in Snowflake, SQL, and Python through personal projects or contributions to open-source initiatives. This hands-on experience can be a great conversation starter during interviews and demonstrate your practical skills.
✨Tip Number 3
Prepare to discuss your experience in agile environments. Be ready to share specific examples of how you've successfully led data projects, managed teams, and adapted to fast-paced changes in previous roles.
✨Tip Number 4
Familiarise yourself with the company's products and their impact on healthcare. Understanding their mission and how your role as a Lead Data Engineer can contribute to their success will help you stand out as a candidate who is genuinely interested in the position.
We think you need these skills to ace Lead Data Engineer - Snowflake, SQL, Python, health tech scaleup
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, SQL, and Python. Include specific projects where you've architected or developed data pipelines, as this is crucial for the Lead Data Engineer role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for health tech and how your background aligns with the company's mission. Mention your experience in agile environments and your ability to mentor others, as these are key aspects of the role.
Showcase Relevant Projects: If you have worked on notable projects involving cloud data platforms or complex data architectures, summarise these in your application. Highlight any quantifiable results or improvements that came from your work.
Proofread and Edit: Before submitting your application, carefully proofread all documents. Look for any spelling or grammatical errors, and ensure that your formatting is consistent. A polished application reflects your attention to detail.
How to prepare for a job interview at Richard Wheeler Associates Careers
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Snowflake, SQL, and Python in detail. Highlight specific projects where you've architected or developed data pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Leadership Skills
As a Lead Data Engineer, you'll need to show that you can mentor and guide others. Share examples of how you've led teams or projects in the past, focusing on your ability to inspire and support your colleagues.
✨Understand the Company’s Mission
Research the healthcare scale-up and understand their products and services. Be ready to discuss how your skills can contribute to their mission and growth, especially in the context of their global reach and agile environment.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare to discuss hypothetical scenarios related to data engineering challenges, such as optimising data pipelines or ensuring data quality, and outline your thought process in tackling these issues.
