Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and development of data pipelines and maintain cloud data solutions.
- Company: Join IBM, a leader in tech innovation and analytics.
- Benefits: Enjoy flexible working options and opportunities for mentorship.
- Other info: Great career growth potential in a dynamic and supportive environment.
- Why this job: Make an impact in AI and analytics while collaborating with diverse teams.
- Qualifications: Proficiency in Python and SQL, plus experience with data engineering frameworks.
The predicted salary is between 60000 - 80000 £ per year.
IBM in the East Midlands, UK, is seeking a Senior Data Engineer for its Data & Analytics Platforms team. The ideal candidate will lead the design and development of robust data pipelines and maintain data solutions on cloud platforms.
Applicants should have strong proficiency in Python and SQL, experience with data engineering frameworks, and a Bachelor's Degree is preferred. The role emphasizes collaboration and mentorship within multidisciplinary teams. Flexible working options are also available.
Senior Data Engineer — Analytics Platforms & AI Pipelines employer: IBM
Contact Detail:
IBM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — Analytics Platforms & AI Pipelines
✨Tip Number 1
Network like a pro! Reach out to current or former employees at IBM through LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data pipelines and projects. We want to see how you’ve tackled challenges using Python and SQL, so make it shine!
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on data engineering frameworks. We recommend mock interviews with friends or using online platforms to simulate the experience.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Senior Data Engineer — Analytics Platforms & AI Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and data engineering frameworks. 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. We love seeing enthusiasm and a bit of personality!
Showcase Collaboration Skills: Since this role involves working in multidisciplinary teams, mention any past experiences where you’ve collaborated effectively. We value teamwork, so let us know how you’ve mentored others or worked together to solve problems.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and keep track of it, plus you’ll get all the latest updates from us!
How to prepare for a job interview at IBM
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages, and think about how you can demonstrate your proficiency in data engineering frameworks.
✨Showcase Your Collaboration Skills
Since the role emphasises teamwork, prepare examples of how you've successfully collaborated with multidisciplinary teams in the past. Highlight any mentorship experiences you’ve had, as this will show your ability to lead and support others.
✨Understand Cloud Platforms
Familiarise yourself with the cloud platforms relevant to the role. Be prepared to discuss your experience with maintaining data solutions in the cloud and how you approach designing robust data pipelines.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the projects you'll be working on, and the company culture at IBM. This shows your genuine interest in the role and helps you assess if it's the right fit for you.