Global Data Engineer: Cloud Data Pipelines & Analytics

Global Data Engineer: Cloud Data Pipelines & Analytics

Full-Time 30000 - 40000 € / year (est.) No home office possible
Eli Lilly and Company

At a Glance

  • Tasks: Design and develop data solutions, create data pipelines, and ensure data quality.
  • Company: Join a global healthcare leader making a difference in people's lives.
  • Benefits: Competitive salary, career development, and the chance to work with cutting-edge technology.
  • Other info: Collaborative environment with opportunities for growth and innovation.
  • Why this job: Make a real impact on healthcare while building your career in data engineering.
  • Qualifications: Strong SQL and Python skills, experience with AWS, and a relevant degree.

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 employer: Eli Lilly and Company

As a global healthcare leader, we pride ourselves on fostering a collaborative and innovative work culture in Bracknell, where our employees are empowered to make a meaningful impact on real-world healthcare solutions. We offer competitive benefits, continuous professional development opportunities, and a supportive environment that encourages growth and creativity, making us an excellent employer for aspiring data engineers looking to advance their careers.

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

Tip Number 1

Network like a pro! Reach out to professionals in the healthcare and data engineering fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, and cloud platforms like AWS. This will give potential employers a taste of what you can do.

Tip Number 3

Prepare for interviews by brushing up on common data engineering questions. Practice explaining your thought process when designing data pipelines or optimising database designs.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to show your interest in joining our team.

We think you need these skills to ace Global Data Engineer: Cloud Data Pipelines & Analytics

Data Pipeline Development
Database Design Optimization
SQL
Python
Cloud Platforms (AWS)
Data Quality Assurance
Collaboration Skills

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!

How to prepare for a job interview at Eli Lilly and Company

Know Your Tech Stack

Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in relation to data pipelines and cloud platforms like AWS.

Showcase Your Problem-Solving Skills

Prepare to talk about specific challenges you've faced in data engineering and how you overcame them. This could involve optimising database designs or ensuring data quality. Real-world examples will make your answers stand out.

Understand the Company’s Mission

Research the healthcare leader's goals and values. Knowing how your role as a Junior Data Engineer can contribute to real-world healthcare solutions will show your genuine interest and alignment with their mission.

Collaborate and Communicate

Since the role involves working with cross-functional teams, be prepared to discuss your experience in collaboration. Highlight any instances where effective communication led to successful project outcomes, as this is key in a team-oriented environment.