At a Glance
- Tasks: Design and maintain automated data services and pipelines using modern tools.
- Company: Join GlaxoSmithKline, a leader in healthcare innovation.
- Benefits: Competitive salary, annual bonus, and comprehensive health care.
- Other info: Exciting opportunities for career growth in a collaborative team.
- Why this job: Make an impact by building scalable data solutions in a dynamic environment.
- Qualifications: 4+ years of data engineering experience and a Bachelor's degree required.
The predicted salary is between 100000 - 130000 £ per year.
GlaxoSmithKline is seeking a Data Engineer II in Greater London, responsible for designing, delivering, and maintaining automated data services and pipelines. The successful candidate will build modular code using modern tools like Python and Spark, ensuring robust performance and adherence to best practices.
This role requires 4+ years of data engineering experience with a Bachelor's degree. The position offers a competitive salary ranging from $130,050 to $175,950 plus benefits including an annual bonus and health care.
Data Engineer II: Build Scalable Data Pipelines & Platforms employer: GlaxoSmithKline
GlaxoSmithKline is an exceptional employer, offering a dynamic work culture in Greater London that fosters innovation and collaboration. Employees benefit from competitive salaries, comprehensive health care, and opportunities for professional growth, all while working on cutting-edge projects that make a real impact in the healthcare sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer II: Build Scalable Data Pipelines & Platforms
✨Tip Number 1
Network like a pro! Reach out to current or former employees at GlaxoSmithKline on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data pipelines and projects using Python and Spark. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on data engineering concepts and coding challenges. We can even set up mock interviews with friends!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can track our progress and stay updated on the hiring process.
We think you need these skills to ace Data Engineer II: Build Scalable Data Pipelines & Platforms
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data engineering, especially using Python and Spark. We want to see how your skills align 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 data engineering and how you can contribute to our team at GSK. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills:In your application, include examples of how you've tackled challenges in previous roles. We’re looking for someone who can build scalable data pipelines, so share any relevant experiences that demonstrate your problem-solving prowess.
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 GlaxoSmithKline
✨Know Your Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description, like Python and Spark. Brush up on your coding skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Experience
With 4+ years of data engineering experience required, prepare specific examples of your previous work. Highlight any automated data services or pipelines you've designed and how they improved performance or efficiency.
✨Understand Best Practices
Familiarise yourself with best practices in data engineering. Be prepared to discuss how you ensure robust performance in your projects and how you adhere to industry standards when building scalable data solutions.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team’s current projects, challenges they face, and how they measure success. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
