At a Glance
- Tasks: Lead exciting projects using Python and Azure technologies while mentoring junior engineers.
- Company: Gravitas Recruitment Group, a global leader in tech recruitment.
- Benefits: Competitive salary up to £60k, discretionary bonus, and hybrid working model.
- Other info: Dynamic work environment with opportunities for professional growth.
- Why this job: Join an AI-first team and make a real impact in data engineering.
- Qualifications: Strong Python skills, Azure experience, and knowledge of data lake platforms.
The predicted salary is between 55000 - 60000 £ per year.
Gravitas Recruitment Group (Global) Ltd is looking for a skilled engineer in Cardiff to lead projects incorporating Python and Azure technologies. The position offers a hybrid working model and focuses on mentoring junior team members.
Successful candidates will possess strong Python skills, experience with Azure stack, and hands-on knowledge of data lake platforms. An AI-first approach is essential for this role, which also includes a competitive salary of up to £60k and a discretionary bonus.
AI-First Senior Data Engineer — Hybrid Cardiff employer: Gravitas Recruitment Group (Global) Ltd
Gravitas Recruitment Group is an exceptional employer that fosters a collaborative and innovative work culture in Cardiff, offering a hybrid working model that promotes work-life balance. With a strong emphasis on employee growth, the company provides ample opportunities for mentorship and skill development, particularly for those passionate about AI and data engineering. The competitive salary and discretionary bonus further enhance the appeal of joining a forward-thinking team dedicated to pushing the boundaries of technology.
Contact Details:
Gravitas Recruitment Group (Global) Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI-First Senior Data Engineer — Hybrid Cardiff
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and Azure implementations. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Research common questions for data engineering roles and practice your answers. Don’t forget to highlight your experience with data lakes and mentoring, as these are key for the role.
✨Tip Number 4
Apply through our website! We make it super easy to submit your application directly, and it shows you're genuinely interested in joining our team. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace AI-First Senior Data Engineer — Hybrid Cardiff
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your strong Python skills in your application. We want to see how you've used Python in past projects, especially in relation to data engineering and AI.
Demonstrate Your Azure Experience:Since this role focuses on the Azure stack, be sure to mention any hands-on experience you have with Azure technologies. We love seeing specific examples of how you've leveraged Azure in your work.
Mentorship Matters:If you've had experience mentoring junior team members, let us know! We value collaboration and growth, so sharing your mentorship experiences can really make your application stand out.
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 from us!
How to prepare for a job interview at Gravitas Recruitment Group (Global) Ltd
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python in detail, including any projects you've worked on. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Familiarise Yourself with Azure Technologies
Since this role requires experience with the Azure stack, take some time to review the key services and tools within Azure. Be prepared to talk about how you've used Azure in past projects and how it can be leveraged for data engineering tasks.
✨Showcase Your Mentoring Skills
As mentoring junior team members is part of the job, think of examples where you've successfully guided others. Highlight your communication style and how you approach teaching complex concepts, as this will show your leadership potential.
✨Embrace the AI-First Mindset
This position emphasises an AI-first approach, so be ready to discuss how you've integrated AI into your data engineering work. Share specific examples of projects where you've applied AI techniques and how they improved outcomes.
