At a Glance
- Tasks: Lead the development of innovative data services and products in healthcare.
- Company: Join a fast-growing health tech company making a global impact.
- Benefits: Competitive salary, share options, performance bonuses, and remote work flexibility.
- Other info: Dynamic team environment with opportunities for personal and professional growth.
- Why this job: Make a real difference in healthcare while working with cutting-edge technologies.
- Qualifications: Experience in data platforms, NLP, and programming skills in Python, PHP, or Typescript.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for a talented data engineer to join our product team and help create our new data and clinical insight services. The successful candidate will be part of a young and rapidly expanding company that is having a global impact in healthcare and medical education.
MedShr is a health technology platform and app that enables doctors to share knowledge and skills to improve healthcare and save lives. We're looking for motivated people who share our passion for health tech and who want to join MedShr in our growth phase. MedShr is a professional network for doctors that enables clinical case discussion in a private community. Launched from London in October 2015, MedShr now has over 1,400,000 members in over 190 countries.
Your role will be to work as a member of the engineering team, leading the development and architecture of new data services and products around clinical insights. Initially focusing on extracting insights from the MedShr platform, this role will involve architecting data flows, developing analyses using medical NLP and other relevant technologies, and helping to implement reports and dashboards using these data.
Our backend tech stack currently consists of:
- Google Cloud Platform and GKE
- Languages: PHP, Python and Typescript
- Primary database: MySQL
- Reporting and analysis: BigQuery
We are absolutely open to using other relevant technologies, and would expect the candidate to make recommendations as appropriate.
Responsibilities:
- Plan, implement, and maintain a robust data architecture.
- Develop, test, and maintain high quality code for data analysis and reporting.
- Contribute expertise to the design and development of our data products.
- Understand the privacy and security requirements for different types of data, and ensure we design and build accordingly.
Qualifications Skills and Requirements:
- Self-starter with an ability to work independently and as part of a team.
- Experience building and maintaining robust data platforms.
- Experience working with Natural Language Processing, with up to date knowledge of the NLP software ecosystem.
- Deep understanding of SQL.
- Strong statistical, analytical, and reporting skills.
- Experience programming in at least one of Python, PHP, Typescript or Javascript.
Desirable:
- Experience using Google Cloud Platform
- Experience using “serverless” technologies
- Experience in medical NLP
- Experience with Medical / Healthcare data
- Knowledge of multiple programming languages
Perks / Benefits:
- Competitive salary
- The chance to solve difficult problems
- Ownership of the solutions to those problems
- Share options and performance bonus
Location:
Our tech team is based in the UK with an office west London. We’ve always had options for remote working and over the last year the whole product team has been working from home.
Timeline:
Recommend applications by Sunday 17th January. First interviews Wednesday 20th January.
Lead Data Engineer in London employer: Medshr
MedShr is an exceptional employer for those passionate about health technology, offering a dynamic work culture that fosters innovation and collaboration. With a competitive salary, share options, and performance bonuses, employees are empowered to take ownership of their projects while contributing to meaningful advancements in healthcare. Located in West London, the company supports flexible working arrangements, allowing team members to thrive both professionally and personally as they grow within a rapidly expanding organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already at MedShr. A friendly chat can open doors and give you insider info that could make your application stand out.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with relevant projects, make sure to highlight them during interviews. It’s a great way to demonstrate your expertise in data engineering and NLP.
✨Tip Number 3
Prepare for technical questions! Brush up on your SQL and programming languages like Python and PHP. Practising common data engineering problems can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about joining our team!
We think you need these skills to ace Lead Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Lead Data Engineer role. Highlight your experience with data platforms, NLP, and any relevant technologies we use at MedShr.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about health tech and how you can contribute to our mission. Share specific examples of your past work that align with the responsibilities outlined in the job description.
Showcase Your Technical Skills:Don’t forget to mention your programming skills in Python, PHP, or Typescript. If you've worked with Google Cloud Platform or serverless technologies, make sure to include that too – we love seeing relevant tech experience!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Medshr
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, especially Google Cloud Platform, PHP, Python, and Typescript. Be ready to discuss your experience with these tools and how you've used them in past projects.
✨Showcase Your Data Skills
Prepare examples of how you've built and maintained data platforms or worked with Natural Language Processing. Highlight specific projects where you extracted insights or developed analyses, as this will demonstrate your hands-on experience.
✨Understand Privacy and Security
Since the role involves handling sensitive healthcare data, brush up on privacy and security requirements. Be prepared to discuss how you would ensure compliance while designing data architectures and products.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in MedShr's mission and growth. Inquire about their future plans for data services or how they envision the role evolving, which will reflect your enthusiasm for being part of their journey.
