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- Tasks: Lead the design of scalable data pipelines and mentor your team.
- Company: Join a leading tech company making waves in the energy sector.
- Benefits: Enjoy a fully remote role with competitive pay and growth opportunities.
- Why this job: Make a real impact on analytics and AI/ML in an exciting industry.
- Qualifications: Strong Python and SQL skills, plus a degree in Computer Science or related fields.
- Other info: Be part of a dynamic team driving innovation in energy technology.
The predicted salary is between 43200 - 72000 £ per year.
A leading technological company is seeking a Lead Data / Software Engineer (Python / SQL) for a fully remote role in the UK. You will lead the design and development of scalable data pipelines, write production-grade code, and mentor team members. Strong Python and SQL skills, along with a degree in Computer Science or related fields, are essential. The position offers an exciting opportunity to impact analytics and AI/ML use cases in the energy domain.
Lead Data Engineer (Python/SQL) – Fully Remote employer: GL Global
Contact Detail:
GL Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer (Python/SQL) – Fully Remote
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving Python and SQL. This will give you an edge and demonstrate your expertise in building scalable data pipelines.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data engineering. Practice coding challenges and be ready to discuss your past experiences leading teams and mentoring others.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you a better chance of landing that dream role.
We think you need these skills to ace Lead Data Engineer (Python/SQL) – Fully Remote
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 you've used these skills in real-world projects, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific experiences that relate to designing scalable data pipelines and any mentoring you've done. It helps us see you as a perfect fit!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to understand your experience and what you can bring to the team.
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 in the energy domain!
How to prepare for a job interview at GL Global
✨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 designed scalable data pipelines or written production-grade code. This will show that you not only understand the theory but can also apply it in real-world scenarios.
✨Showcase Your Leadership Skills
Since this role involves mentoring team members, be prepared to share examples of how you've led teams or projects in the past. Highlight any experiences where you've guided others through challenges or helped them grow their skills.
✨Understand the Energy Domain
Familiarise yourself with the energy sector and its analytics and AI/ML use cases. Being able to discuss how data engineering impacts this field will demonstrate your genuine interest in the role and the company’s mission.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about the company's data strategy, team dynamics, or future projects. This shows that you're not just interested in the job, but also in how you can contribute to their success.
