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- Tasks: Build scalable governance solutions for next-gen data experiences in a global Biopharma company.
- Company: Join a leading global Biopharma company focused on innovation and R&D.
- Benefits: Earn up to £90,000 with a hybrid work model and competitive salary.
- Why this job: Make an impact in AI/ML data analysis while working with cutting-edge technologies.
- Qualifications: Strong software development skills and familiarity with cloud-native environments required.
- Other info: Enjoy a dynamic work environment with opportunities for growth and learning.
The predicted salary is between 54000 - 72000 £ per year.
A global Biopharma company is seeking a Senior Software Engineer to enhance their R&D function. This role focuses on building scalable governance solutions using technologies that enable a next-generation data experience.
The ideal candidate will have strong software development skills, familiarity with cloud-native environments, and an interest in AI/ML data analysis.
The position offers a competitive salary of up to £90,000, with a hybrid work model requiring two days a week on-site in London.
Senior Data Governance Engineer - Cloud-Native AI/ML in London employer: Fruition Group
Contact Detail:
Fruition Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Governance Engineer - Cloud-Native AI/ML in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in biopharma or data governance. 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 projects related to cloud-native solutions and AI/ML. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions in data governance and software engineering. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨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 Senior Data Governance Engineer - Cloud-Native AI/ML in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your software development skills and experience with cloud-native environments. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI/ML data analysis and how you can contribute to our R&D function. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: In your application, be sure to mention any specific technologies or tools you’ve worked with that relate to data governance and AI/ML. We’re looking for candidates who can hit the ground running, so let us know what you bring to the table!
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 you’re keen to join our team!
How to prepare for a job interview at Fruition Group
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially those related to cloud-native environments and AI/ML. Brush up on your software development skills and be ready to discuss specific projects where you've applied these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex data governance challenges in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your analytical thinking and innovative solutions.
✨Understand the Company’s Vision
Research the global Biopharma company and understand their mission and values. Be prepared to discuss how your experience aligns with their goals, particularly in enhancing R&D functions through scalable governance solutions.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company. Inquire about their current data governance strategies, the team dynamics, and how they envision the future of AI/ML in their operations. This shows you're not just interested in the job, but also in contributing to their success.
