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- Tasks: Design and develop robust data pipelines for analytics and AI projects.
- Company: Join IBM, a leader in tech innovation and collaboration.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Support junior engineers and thrive in a dynamic work environment.
- Why this job: Make an impact in the world of data and AI with cutting-edge technology.
- Qualifications: Bachelor's Degree and experience with Python, SQL, and cloud services.
The predicted salary is between 50000 - 65000 £ per year.
IBM is looking for a data engineer in Manchester to lead the design and development of robust data pipelines and platforms that support analytics and AI. The ideal candidate will have a Bachelor's Degree and strong experience with Python, SQL, and cloud data services like Azure and AWS.
Responsibilities include:
- Collaborating with teams to deliver end-to-end solutions
- Supporting junior engineers
This role adheres to UK pre-employment screening standards.
Platform Data Engineer for Analytics & AI Workloads employer: IBM
Contact Detail:
IBM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform Data Engineer for Analytics & AI Workloads
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at IBM or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects using Python, SQL, and cloud services. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've collaborated with teams and supported others in your previous roles. We want to see your teamwork in action!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Platform Data Engineer for Analytics & AI Workloads
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and cloud services like Azure and AWS. 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 analytics and AI workloads. Let us know what excites you about working at IBM.
Showcase Collaboration Skills: Since this role involves working with teams, make sure to mention any collaborative projects you've been part of. We love seeing how you’ve worked with others to deliver end-to-end solutions!
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 cloud services mentioned, like Azure and AWS. Brush up on your knowledge of data pipelines and analytics frameworks, as you might be asked to discuss how you've used these technologies in past projects.
✨Showcase Collaboration Skills
Since the role involves working with teams, be prepared to share examples of how you've collaborated with others to deliver solutions. Think about specific projects where teamwork was key and how you supported junior engineers or contributed to their development.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially related to data engineering challenges. Practice articulating your thought process when tackling complex issues, and consider using the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Understand the Company Culture
Research IBM’s values and culture to align your responses with what they prioritise. Be ready to discuss how your personal values and work ethic fit into their environment, showing that you’re not just a technical fit but also a cultural one.