At a Glance
- Tasks: Build and maintain data pipelines for a cutting-edge AI healthcare platform.
- Company: Join a forward-thinking company revolutionising healthcare with data.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with diverse teams in a dynamic and impactful environment.
- Why this job: Make a real difference in patient care through innovative data solutions.
- Qualifications: Experience in Python, SQL, and data engineering required.
The predicted salary is between 60000 - 80000 € per year.
We are seeking an experienced Data Engineer to help build and maintain the data infrastructure powering a large-scale AI-driven clinical monitoring platform. You will design and operate robust data pipelines that ingest, transform, and distribute sensitive healthcare data originating from Electronic Health Record (EHR) systems, medical devices, and hospital information systems.
Working closely with backend engineers, ML engineers, clinical teams, and customer integration partners, you will ensure the reliable, secure, and compliant flow of patient data across operational and analytical systems. Your work will directly support predictive analytics and machine learning models that identify early signs of clinical deterioration, helping clinicians intervene sooner and improve patient outcomes. This is a hands-on role where production-grade data engineering, reliability, and healthcare compliance are critical.
Key Responsibilities- Data Pipeline
Data Engineer | Python | SQL | Data Pipelines | Data Infrastructure | Snowflake | AWS | London, Hybrid employer: Enigma
Join a forward-thinking company that prioritises innovation and employee development in the heart of London. With a hybrid work model, we offer a collaborative culture where your contributions directly impact healthcare outcomes, alongside competitive benefits and opportunities for professional growth in the rapidly evolving field of data engineering. Experience the unique advantage of working on cutting-edge AI-driven projects that make a real difference in patient care.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer | Python | SQL | Data Pipelines | Data Infrastructure | Snowflake | AWS | London, Hybrid
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects using Python, SQL, and AWS. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss how you've tackled challenges in data infrastructure. We recommend practising common interview questions related to data engineering to boost your confidence.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for talented Data Engineers like you. Don’t miss out on the chance to join a team that’s making a real difference in healthcare with data-driven solutions.
We think you need these skills to ace Data Engineer | Python | SQL | Data Pipelines | Data Infrastructure | Snowflake | AWS | London, Hybrid
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, SQL, and data pipelines. 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 data engineering and how you can contribute to our AI-driven clinical monitoring platform. Keep it engaging and personal!
Showcase Your Technical Skills:When filling out your application, be specific about your experience with Snowflake, AWS, and any other relevant technologies. We love seeing concrete examples of how you've used these tools in past roles.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Enigma
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and the specific tools mentioned like Snowflake and AWS. Brush up on your knowledge of data pipelines and infrastructure, as you’ll likely be asked to discuss how you’ve used these technologies in past projects.
✨Understand the Healthcare Context
Since this role involves working with sensitive healthcare data, it’s crucial to understand the compliance and security aspects. Familiarise yourself with regulations like HIPAA and how they impact data engineering in a clinical setting. This will show that you’re not just technically skilled but also aware of the industry’s nuances.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems related to data pipelines and infrastructure. Think about challenges you’ve faced in previous roles and how you overcame them. Be ready to explain your thought process and the steps you took to ensure data reliability and security.
✨Show Your Collaborative Spirit
This role requires working closely with various teams, so be prepared to discuss your experience collaborating with backend engineers, ML engineers, and clinical teams. Highlight any projects where teamwork was key to success, and demonstrate your ability to communicate effectively across different disciplines.
