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- Tasks: Lead the design of scalable data pipelines and mentor your team.
- Company: A leading tech company focused on analytics and AI/ML in the energy sector.
- Benefits: Fully remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in the energy domain with cutting-edge technology.
- Qualifications: Strong Python and SQL skills, plus a degree in Computer Science or related fields.
- Other info: Join a dynamic team and shape the future of data engineering.
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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with data engineering. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best Python and SQL projects. This is your chance to demonstrate your ability to design scalable data pipelines and write production-grade code, which will definitely catch the eye of potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. We recommend practising coding challenges and discussing your past experiences leading teams or mentoring others, as these are key aspects of the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the easiest way to get your application noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Lead Data Engineer (Python/SQL) – Fully Remote in London
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 why you're a great 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 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’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 thoughtful questions about the company's data strategy, team dynamics, or future projects. This shows that you're engaged and serious about finding the right fit for both you and the company.
