Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead AI/ML projects, design data pipelines, and mentor junior engineers.
- Company: Leading tech company in the UK with a focus on innovation.
- Benefits: Flexible working hours, supportive environment, and commitment to diversity.
- Why this job: Join a dynamic team and shape the future of AI/ML technology.
- Qualifications: 5+ years experience, strong academic background, and skills in AWS/Azure and Python.
- Other info: Great opportunities for personal and professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology company in the United Kingdom seeks a Senior Data Engineer to lead AI/ML initiatives, design scalable data pipelines, and mentor junior engineers.
The ideal candidate will have over 5 years of experience, a strong academic background, and proficiency with AWS/Azure, Python, and big data tools like Spark.
This role offers a supportive environment for personal and professional growth, flexible working arrangements, and a commitment to diversity and inclusion.
Senior AI/ML Data Engineer — Remote & Flexible Week employer: Awin Global
Contact Detail:
Awin Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI/ML Data Engineer — Remote & Flexible Week
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those working with AI/ML. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS/Azure and big data tools like Spark. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI/ML and data engineering. We recommend practicing coding challenges and discussing your past experiences to highlight your expertise.
✨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 are proactive about their job search.
We think you need these skills to ace Senior AI/ML Data Engineer — Remote & Flexible Week
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML and big data tools like Spark. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI/ML and how you can contribute to our team. We love hearing personal stories that connect your experience to our mission.
Showcase Your Technical Skills: Be specific about your proficiency with AWS/Azure and Python. We’re looking for someone who can hit the ground running, so include any relevant projects or experiences that demonstrate your technical prowess.
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Awin Global
✨Know Your Tech Inside Out
Make sure you’re well-versed in AWS/Azure, Python, and big data tools like Spark. Brush up on your technical skills and be ready to discuss specific projects where you've used these technologies. This will show that you not only have the experience but also the hands-on knowledge to back it up.
✨Showcase Your Leadership Skills
As a Senior Data Engineer, you'll likely be mentoring junior engineers. Prepare examples of how you've led teams or projects in the past. Highlight your ability to guide others and foster a collaborative environment, as this aligns with the company's commitment to personal and professional growth.
✨Prepare for Behavioural Questions
Expect questions about how you handle challenges, work in diverse teams, and contribute to an inclusive workplace. Use the STAR method (Situation, Task, Action, Result) to structure your answers, ensuring you convey your thought process and the impact of your actions.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s AI/ML initiatives, team dynamics, or how they support diversity and inclusion. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
