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- Tasks: Design and operate end-to-end data pipelines for AI systems.
- Company: Fast-growing AI-native consulting firm in Greater London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI with your data expertise.
- Qualifications: Strong skills in Python, SQL, and experience with cloud data platforms.
- Other info: Collaborative environment focused on data quality and reliability.
The predicted salary is between 43200 - 72000 £ per year.
A fast-growing AI-native consulting firm in Greater London is seeking a Senior Data Engineer to design and operate end-to-end data pipelines. The role focuses on building reliable and meaning-aware data foundations for AI systems, requiring excellent skills in Python and SQL, along with experience in cloud data platforms.
The ideal candidate will have strong data engineering experience and work collaboratively with various stakeholders to ensure data quality and reliability.
Senior Data Engineer - Semantics & AI Data Pipelines employer: Develop
Contact Detail:
Develop Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Semantics & AI Data Pipelines
✨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 expertise, so make it shine!
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss your experience with cloud data platforms. We want you to feel confident and ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Engineer - Semantics & AI Data Pipelines
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and SQL expertise in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your experience with cloud data platforms too!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. We love seeing candidates who understand our needs and can demonstrate how their background fits perfectly with what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your experience and achievements are easy to read and understand.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Develop
✨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 built data pipelines or worked with cloud data platforms. This will show that you not only understand the theory but have practical experience too.
✨Showcase Your Collaboration Skills
Since the role involves working with various stakeholders, prepare examples of how you've successfully collaborated in past projects. Think about times when you ensured data quality and reliability through teamwork, as this will highlight your ability to work well with others.
✨Understand the Company’s AI Focus
Research the consulting firm’s approach to AI and how they leverage data for their systems. Being able to discuss their projects or values during the interview will demonstrate your genuine interest in the company and its mission.
✨Prepare Questions That Matter
Have a few insightful questions ready to ask at the end of the interview. Inquire about their current data challenges or future projects related to AI. This shows that you're not just interested in the role, but also in contributing to the company's growth.
