Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and maintain data pipelines for innovative healthcare solutions.
- Company: Dynamic healthcare technology firm focused on impactful solutions.
- Benefits: Supportive culture, career growth, and opportunities to make a difference.
- Why this job: Join a team that accelerates patient access to treatments using cutting-edge tech.
- Qualifications: 3+ years in development with PySpark, SQL, and Python expertise.
- Other info: Collaborative environment that encourages personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A dynamic healthcare technology firm seeks a Data Engineer to build and maintain data pipelines. The role involves collaborating on solutions using technologies like Apache Spark and AWS Glue.
Candidates should have over 3 years of development experience, specifically with PySpark and a strong understanding of SQL and Python.
This position fosters a supportive culture where employees grow through challenge, aiming to make a significant impact by accelerating patient access to treatments.
Data Engineer: AI/ML Pipelines & Lakehouse employer: Envision Pharma Group
Contact Detail:
Envision Pharma Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: AI/ML Pipelines & Lakehouse
✨Tip Number 1
Network like a pro! Reach out to folks in the healthcare tech space, especially those working with data engineering. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with PySpark, SQL, and Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of Apache Spark and AWS Glue. Practise coding challenges and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about making an impact in healthcare technology.
We think you need these skills to ace Data Engineer: AI/ML Pipelines & Lakehouse
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with PySpark, SQL, and Python. We want to see how your skills align with the role of a Data Engineer, 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 technology and how your background makes you a perfect fit for our team. Let us know how you can contribute to accelerating patient access to treatments.
Showcase Your Collaboration Skills: Since this role involves working closely with others, highlight any past experiences where you’ve collaborated on tech solutions. We love seeing teamwork in action, especially when it comes to building data pipelines!
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’re considered for the role. Plus, it shows you’re keen on joining our dynamic team!
How to prepare for a job interview at Envision Pharma Group
✨Know Your Tech Stack
Make sure you’re well-versed in Apache Spark, AWS Glue, PySpark, SQL, and Python. Brush up on your knowledge of these technologies before the interview, as you might be asked to solve problems or discuss your experience with them.
✨Showcase Your Experience
Prepare specific examples from your past work that highlight your development experience. Be ready to discuss how you’ve built and maintained data pipelines, and how your contributions have made a difference in previous roles.
✨Collaborative Mindset
Since this role involves collaboration, think about times when you worked effectively in a team. Be prepared to share how you’ve contributed to group projects and how you handle challenges within a team setting.
✨Align with Their Mission
Understand the company’s goal of accelerating patient access to treatments. Be ready to express how your skills and experiences align with this mission, and why you’re passionate about making an impact in healthcare technology.