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- Tasks: Build and own cloud-native data and ML pipelines for cutting-edge AI projects.
- Company: Leading analytics recruitment agency with a focus on innovation and inclusivity.
- Benefits: Hybrid work model, strong career development support, and a focus on well-being.
- Why this job: Join a dynamic team and make an impact in the world of machine learning and AI.
- Qualifications: Strong coding skills in Python and PySpark, plus a collaborative mindset.
- Other info: Supportive culture that values career progression and personal growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading analytics recruitment agency is looking for a Senior Data Engineer to work on machine learning and AI platform engineering. The role involves building and owning cloud-native data and ML pipelines, with strong support for career development in a hybrid work model.
Candidates should possess strong coding skills in Python and PySpark, and a collaborative mindset. The position emphasizes a supportive and inclusive culture that values career progression and well-being.
Senior Data Engineer, ML & AI Platform — Hybrid London employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer, ML & AI Platform — Hybrid London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in machine learning and AI. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and PySpark. This is your chance to demonstrate your coding prowess and problem-solving abilities to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process clearly, as collaboration is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! We’re all about supporting your career journey, and applying directly can give you an edge in the hiring process.
We think you need these skills to ace Senior Data Engineer, ML & AI Platform — Hybrid London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your coding skills in Python and PySpark. We want to see how you can build and own cloud-native data and ML pipelines, so don’t hold back on showcasing your technical prowess!
Be Collaborative: Since we value a collaborative mindset, share examples of how you've worked well with others in past projects. This will help us see how you fit into our supportive and inclusive culture.
Tailor Your Application: Take the time to tailor your application to the role. Mention specific experiences that relate to machine learning and AI platform engineering. We love seeing candidates who take the extra step!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in London.
How to prepare for a job interview at Datatech Analytics
✨Know Your Tech Stack
Make sure you brush up on your Python and PySpark skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Collaborative Spirit
Since the role emphasises a collaborative mindset, think of examples where you've worked effectively in a team. Prepare to share how you contributed to group projects and how you handle differing opinions or conflicts.
✨Understand the Company Culture
Research the company’s values and culture, especially their focus on career development and well-being. Be prepared to discuss how you align with these values and what you can bring to foster an inclusive environment.
✨Prepare Questions About Growth Opportunities
Since this position offers strong support for career development, come armed with questions about potential growth paths within the company. This shows your interest in long-term commitment and personal development.
