Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop data solutions, create data pipelines, and ensure data quality.
- Company: Global healthcare leader making a difference in people's lives.
- Benefits: Competitive salary, career development, and the chance to work with cutting-edge technology.
- Why this job: Make a real impact in healthcare while building your data engineering career.
- Qualifications: Strong SQL and Python skills, experience with AWS, and a relevant degree.
- Other info: Collaborative environment with opportunities for growth and innovation.
The predicted salary is between 30000 - 40000 £ per year.
A global healthcare leader is seeking a Junior Data Engineer to design, develop, and maintain data solutions in Bracknell, England. The role involves creating data pipelines, optimizing database designs, and collaborating with cross-functional teams to ensure data quality.
Candidates should have strong skills in SQL and Python, experience with cloud platforms like AWS, and a bachelor's degree in a related field.
This position offers a chance to impact real-world healthcare solutions while developing a career in data engineering.
Global Data Engineer: Cloud Data Pipelines & Analytics in Bracknell employer: Eli Lilly and Company
Contact Detail:
Eli Lilly and Company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Global Data Engineer: Cloud Data Pipelines & Analytics in Bracknell
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects you've worked on. This is a great way to demonstrate your SQL and Python prowess, especially when applying through our website.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. Practice explaining your thought process when designing data solutions and optimising database designs. Confidence is key!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in leaving a positive impression. It shows your enthusiasm for the role and keeps you fresh in their minds.
We think you need these skills to ace Global Data Engineer: Cloud Data Pipelines & Analytics in Bracknell
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your skills in SQL and Python, as well as any experience with cloud platforms like AWS. We want to see how your background aligns with the role of a Junior Data Engineer.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our mission in healthcare. Be genuine and let your personality shine through!
Showcase Relevant Projects: If you've worked on any projects involving data pipelines or database optimisation, make sure to mention them. We love seeing practical examples of your skills in action!
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of applications and ensures you’re considered for the role you’re excited about!
How to prepare for a job interview at Eli Lilly and Company
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Familiarise Yourself with Cloud Platforms
Since the role involves working with cloud platforms like AWS, take some time to understand their services and how they relate to data engineering. You might be asked about your experience with cloud solutions, so having a few examples ready will show you're prepared.
✨Showcase Your Collaboration Skills
This position requires working with cross-functional teams, so think of examples where you've successfully collaborated with others. Highlight your communication skills and how you ensure data quality when working with different departments.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategy, team dynamics, or future projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.