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- Tasks: Build lifesaving data pipelines and enhance cloud-hosted platforms.
- Company: A mission-driven healthcare charity in Greater London.
- Benefits: Competitive salary, hybrid work, 27 days leave, and pension scheme.
- Why this job: Join a team making a real difference in patients' lives.
- Qualifications: Over 4 years of data engineering experience with SQL and Python expertise.
- Other info: Be part of a dynamic team focused on impactful projects.
The predicted salary is between 49000 - 54000 £ per year.
A healthcare charity in Greater London is seeking a Senior Data Engineer to enhance their cloud-hosted data engineering platforms. The role offers a competitive salary of £51,500 per annum, a hybrid working model, and various perks such as 27 days annual leave and a pension scheme.
Candidates should have over 4 years of data engineering experience and expertise in SQL and Python. This is an opportunity to join a mission-driven team making a difference in patients' lives.
Senior Data Engineer - Build lifesaving data pipelines employer: Anthony Nolan
Contact Detail:
Anthony Nolan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Build lifesaving data pipelines
✨Tip Number 1
Network like a pro! Reach out to people in the healthcare and data engineering sectors. Use LinkedIn to connect with current employees at the charity and ask for insights about the role. You never know, a friendly chat could lead to a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best data pipelines and projects. When you get the chance to chat with the hiring team, share specific examples of how you've used SQL and Python to solve real-world problems.
✨Tip Number 3
Be ready for technical interviews! Brush up on your data engineering concepts and be prepared to tackle coding challenges. Practise common SQL queries and Python scripts that demonstrate your problem-solving abilities.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly. Plus, it shows you're genuinely interested in joining our mission-driven team. Don't miss out on this opportunity to make a difference!
We think you need these skills to ace Senior Data Engineer - Build lifesaving data pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with SQL and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re passionate about this role and how you can contribute to our mission. Share your enthusiasm for healthcare and any personal experiences that connect you to our cause.
Showcase Your Problem-Solving Skills: As a Senior Data Engineer, we need someone who can tackle challenges head-on. In your application, give examples of how you've solved complex data issues in the past. This will help us see your analytical mindset in action!
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 don’t miss out on any important updates. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Anthony Nolan
✨Know Your Data Engineering Stuff
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss your past projects and how you've built data pipelines. They’ll want to see that you can not only talk the talk but also walk the walk when it comes to technical expertise.
✨Understand the Mission
Since this role is with a healthcare charity, take some time to understand their mission and how data engineering plays a part in improving patient lives. Showing that you’re passionate about their cause will set you apart from other candidates.
✨Prepare for Scenario Questions
Expect scenario-based questions where you might need to solve a problem on the spot. Practise explaining your thought process clearly and logically. This will demonstrate your analytical skills and how you approach challenges in data engineering.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about their current data projects or the tools they use. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.
