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- Tasks: Develop and operate data pipelines for healthcare analytics.
- Company: Innovative healthtech company making a difference in the UK.
- Benefits: 25 vacation days, private healthcare, and competitive salary.
- Why this job: Make a real impact in healthcare while working with cutting-edge technology.
- Qualifications: 3-4 years of data engineering experience and strong SQL skills.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A healthtech company in the UK is looking for a Data Engineer to develop and operate data pipelines and analytics-ready datasets. You will work closely with the Senior Data Engineer to build reliable data pipelines and contribute to data quality efforts.
The ideal candidate has 3-4 years of experience in data engineering, strong SQL skills, and familiarity with AWS.
This role provides a chance to make a significant impact in healthcare and comes with attractive benefits, including 25 vacation days and private healthcare.
Data Engineer, AWS Pipelines for Healthcare Analytics employer: uMed
Contact Detail:
uMed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer, AWS Pipelines for Healthcare Analytics
✨Tip Number 1
Network like a pro! Reach out to people in the healthtech space, especially those working with data engineering. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and any projects you've worked on. This is your chance to demonstrate your SQL prowess and AWS familiarity in a practical way.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. We recommend practising your answers to technical scenarios, especially those related to healthcare analytics, to impress your interviewers.
✨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 Data Engineer, AWS Pipelines for Healthcare Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with SQL and AWS. 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 shine! Use it to explain why you're passionate about healthcare analytics and how you can contribute to our team. We love seeing enthusiasm and a personal touch!
Showcase Your Problem-Solving Skills: In your application, mention specific challenges you've faced in previous roles and how you tackled them. We’re looking for someone who can build reliable data pipelines, so let us know how you’ve done that before!
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 from our team!
How to prepare for a job interview at uMed
✨Know Your SQL Inside Out
Since strong SQL skills are a must for this role, make sure you brush up on your SQL knowledge. Be prepared to answer questions about complex queries, data manipulation, and optimisation techniques. Practising with real-world scenarios can help you demonstrate your expertise.
✨Familiarise Yourself with AWS
As the job involves working with AWS, it’s crucial to understand its services related to data engineering. Review key concepts like AWS Lambda, S3, and Redshift. If possible, try to set up a small project using these tools to showcase your hands-on experience during the interview.
✨Showcase Your Problem-Solving Skills
Data engineering often involves troubleshooting and optimising pipelines. Prepare to discuss past challenges you've faced and how you resolved them. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly and effectively.
✨Understand the Impact of Your Work
This role is all about making a significant impact in healthcare. Research the company’s mission and values, and think about how your work as a Data Engineer can contribute to improving healthcare analytics. Being able to articulate this connection will impress your interviewers.
