At a Glance
- Tasks: Design and optimise AI-driven data pipelines for Salesforce Service Cloud.
- Company: Advanced Resource Managers, a leader in tech innovation.
- Benefits: Flexible hybrid working, competitive pay, and a chance to work with cutting-edge technology.
- Other info: Exciting 6-month contract with opportunities for growth and collaboration.
- Why this job: Join a dynamic team and make a significant impact in AI and data engineering.
- Qualifications: 5-10 years in Data Engineering, expertise in cloud-native architectures, and Python proficiency.
The predicted salary is between 60000 - 80000 £ per year.
Advanced Resource Managers is looking for a Senior AI / Data Engineer to work in London on a 6-month contract. You will design, build, and optimize AI-driven data pipelines to enhance Salesforce Service Cloud's functionalities.
The ideal candidate must have:
- 5–10 years of experience in Data Engineering
- Expertise in cloud-native architectures
- Proficiency in Python and data pipeline technologies
This role offers hybrid working arrangements, ensuring flexibility and collaboration.
Senior AI & Data Engineer - QAS Pipelines & LLM employer: Advanced Resource Managers
Advanced Resource Managers is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a focus on employee growth, we provide opportunities for professional development and the chance to work on cutting-edge AI projects, all while enjoying the benefits of hybrid working arrangements that promote work-life balance.
Contact Details:
Advanced Resource Managers Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI & Data Engineer - QAS Pipelines & LLM
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and Data Engineering space. Attend meetups or webinars, and don’t be shy about asking for referrals. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and cloud-native architectures. This is your chance to demonstrate your expertise in Python and other relevant technologies. We love seeing real-world applications of your work!
✨Tip Number 3
Prepare for the interview by brushing up on common technical questions related to AI and data engineering. Practice explaining your thought process when designing and optimising data pipelines. We want to see how you tackle challenges, so be ready to share your problem-solving strategies!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our team. Let’s make this happen together!
We think you need these skills to ace Senior AI & Data Engineer - QAS Pipelines & LLM
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in Data Engineering and cloud-native architectures. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in Python and data pipeline technologies!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior AI & Data Engineer position. Share specific examples of your past work that relate to enhancing functionalities, just like we do at StudySmarter.
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! We love seeing real-world applications of your skills, especially those that involve AI-driven data pipelines. It gives us a better idea of what you can bring to the table.
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 us you’re keen to join our team!
How to prepare for a job interview at Advanced Resource Managers
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of data pipeline technologies and cloud-native architectures. Be ready to discuss specific projects where you've designed or optimised these systems, as this will show your hands-on experience.
✨Showcase Your Python Skills
Prepare to demonstrate your proficiency in Python during the interview. You might be asked to solve a coding problem or explain how you've used Python in previous roles, so have some examples ready that highlight your expertise.
✨Understand the Role of AI in Data Engineering
Since this position focuses on AI-driven data pipelines, be prepared to discuss how AI can enhance data processing and decision-making. Think about any relevant projects you've worked on that involved AI and be ready to share those insights.
✨Emphasise Collaboration and Flexibility
With hybrid working arrangements in place, it's important to convey your ability to collaborate effectively in both remote and in-person settings. Share examples of how you've successfully worked with teams in different environments to achieve project goals.
