Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop robust data pipelines for analytics and AI workloads.
- Company: Join IBM, a leader in technology innovation and data solutions.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on performance and security.
- Why this job: Make an impact by working on cutting-edge data technologies and mentoring future engineers.
- Qualifications: Bachelor's degree with strong skills in Python, SQL, and cloud data services.
The predicted salary is between 50000 - 65000 £ per year.
IBM is seeking a data engineer in Leicester, UK, responsible for designing and developing robust data pipelines and platforms for analytics and AI workloads.
Candidates should possess a Bachelor's degree and strong skills in Python, SQL, and data engineering tools.
Ideal applicants will have hands-on experience in cloud data services like AWS, Azure, or GCP and familiarity with CI/CD workflows.
Additional responsibilities include mentoring junior engineers and ensuring data solutions meet performance and security requirements.
Data Platform Engineer for Analytics & AI Pipelines in Leicester employer: IBM
Contact Detail:
IBM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer for Analytics & AI Pipelines in Leicester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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. This is your chance to demonstrate your Python and SQL prowess, so make it shine!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge, especially around cloud services like AWS, Azure, or GCP. Practice common interview questions and be ready to discuss your experience with CI/CD workflows.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented data engineers like you. Plus, it’s the best way to ensure your application gets noticed!
We think you need these skills to ace Data Platform Engineer for Analytics & AI Pipelines in Leicester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, SQL, and any data engineering tools you've used. We want to see how your skills align with what we're looking for, so don’t hold back!
Cloud Experience is Key: If you've worked with AWS, Azure, or GCP, let us know! Mention specific projects or tasks where you utilised these cloud services, as this will really catch our eye.
CI/CD Workflows Matter: Familiarity with CI/CD workflows is a big plus. Share any relevant experiences you have in this area, as it shows you're up to date with modern development practices.
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at IBM
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and the data engineering tools mentioned in the job description. Brush up on your cloud services knowledge, especially AWS, Azure, or GCP, as these will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've designed and developed data pipelines. Be ready to explain your thought process, the challenges you faced, and how you ensured performance and security in your solutions.
✨Understand CI/CD Workflows
Familiarise yourself with Continuous Integration and Continuous Deployment practices. Be prepared to talk about how you’ve implemented these workflows in past roles and how they can enhance data engineering processes.
✨Mentorship Mindset
Since mentoring junior engineers is part of the role, think about your experiences in guiding others. Prepare examples of how you’ve supported team members in their development and how you approach sharing knowledge.