Remote Senior Data Engineer — AWS Data Platform Lead

Remote Senior Data Engineer — AWS Data Platform Lead

Full-Time 85000 - 85000 € / year (est.) Home office possible
Nigel Wright Recruitment

At a Glance

  • Tasks: Lead the development of an AWS-based data platform and design scalable data pipelines.
  • Company: Fast-growing healthtech scale-up with a focus on innovation.
  • Benefits: Competitive salary up to £85,000 and unlimited annual leave.
  • Other info: Join a dynamic team and make a real impact in healthtech.
  • Why this job: Enjoy professional ownership and influence from day one in a fully remote role.
  • Qualifications: Strong skills in Python, SQL, and data modelling required.

The predicted salary is between 85000 - 85000 € per year.

Nigel Wright Recruitment is seeking a Senior Data Engineer to join a fast-growing healthtech scale-up. In this fully remote role, you will lead the development of an AWS-based data platform, designing scalable data pipelines and improving system performance.

The ideal candidate will possess strong skills in Python, SQL, and data modelling, along with a proactive mindset.

This position offers a competitive salary of up to £85,000 and unlimited annual leave, providing a unique opportunity for professional ownership and influence from day one.

Remote Senior Data Engineer — AWS Data Platform Lead employer: Nigel Wright Recruitment

Join a dynamic healthtech scale-up that prioritises innovation and employee well-being. With unlimited annual leave and a competitive salary, we foster a culture of professional growth and autonomy, allowing you to make a significant impact from the outset. Our fully remote work environment ensures flexibility while collaborating with a passionate team dedicated to transforming healthcare through technology.

Nigel Wright Recruitment

Contact Detail:

Nigel Wright Recruitment Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote Senior Data Engineer — AWS Data Platform Lead

Tip Number 1

Network like a pro! Reach out to folks in the healthtech space on LinkedIn or join relevant online communities. We can’t stress enough how personal connections can open doors that applications alone can’t.

Tip Number 2

Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving AWS, Python, and SQL. This gives us a tangible way to see what you can do beyond just words on a CV.

Tip Number 3

Prepare for the interview by brushing up on common data engineering scenarios. We recommend practising problem-solving questions and being ready to discuss your past projects in detail. Confidence is key!

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.

We think you need these skills to ace Remote Senior Data Engineer — AWS Data Platform Lead

AWS
Data Engineering
Python
SQL
Data Modelling
Scalable Data Pipelines
System Performance Improvement

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your experience with Python, SQL, and data modelling in your application. We want to see how your skills align with the role, so don’t hold back!

Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. Mention how your previous experiences can help us build an amazing AWS-based data platform.

Be Proactive:We love a proactive mindset! In your application, share examples of how you've taken initiative in past projects. This will show us you’re ready to lead and make an impact from day one.

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity.

How to prepare for a job interview at Nigel Wright Recruitment

Know Your Tech Stack

Make sure you’re well-versed in AWS, Python, and SQL. Brush up on your data modelling skills and be ready to discuss how you've used these technologies in past projects. Being able to share specific examples will show your expertise and confidence.

Showcase Your Problem-Solving Skills

Prepare to discuss challenges you've faced in previous roles, particularly around designing scalable data pipelines. Think of a few scenarios where you improved system performance and be ready to explain your thought process and the impact of your solutions.

Emphasise Your Proactive Mindset

This role requires someone who takes initiative. Be prepared to talk about times when you went above and beyond in your previous positions. Highlight any instances where you identified issues before they became problems or implemented new processes that improved efficiency.

Ask Insightful Questions

Interviews are a two-way street! Prepare thoughtful questions about the company’s data strategy, team dynamics, and future projects. This not only shows your interest but also helps you gauge if the company is the right fit for you.