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- Tasks: Develop, test, and deploy data solutions in the energy sector.
- Company: Fast-growing data and AI consultancy in the UK.
- Benefits: Competitive salary, flexible working options, and remote work.
- Why this job: Join impactful projects and solve complex data challenges in energy.
- Qualifications: Strong skills in Python, SQL, and experience with data lakes.
- Other info: Dynamic environment with opportunities for growth and innovation.
The predicted salary is between 28800 - 43200 £ per year.
A fast-growing data and AI consultancy in the UK is seeking a Data Engineer to develop, test, and deploy data solutions in the energy sector. Candidates should have strong skills in Python and SQL, with experience in data lakes and cloud technologies. This position offers a competitive salary and flexible working options including remote and part-time arrangements. Ideal candidates will be dynamic and ready to solve complex data challenges while contributing to impactful projects for leading energy companies.
Energy Data Engineer — Remote/Hybrid, High Impact in Glasgow employer: Hypercube Consulting
Contact Detail:
Hypercube Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Energy Data Engineer — Remote/Hybrid, High Impact in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the energy sector on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects, especially those related to data lakes and cloud technologies. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering challenges. We recommend practising problem-solving scenarios that relate to the energy sector. This way, you’ll be ready to impress with your dynamic approach!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Energy Data Engineer — Remote/Hybrid, High Impact in Glasgow
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and SQL skills in your application. We want to see how you've used these tools in real-world projects, especially in the energy sector!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Energy Data Engineer role. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.
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 Hypercube Consulting
✨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 used these technologies, especially in relation to data lakes and cloud solutions. This will show that you’re not just familiar with the tools, but that you can apply them effectively.
✨Understand the Energy Sector
Do some research on current trends and challenges in the energy sector. Being able to speak knowledgeably about how data solutions can impact this industry will set you apart. It shows that you’re not just a tech whiz, but that you understand the bigger picture and are passionate about making a difference.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Think of examples from your past work where you tackled complex data challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly and effectively.
✨Show Your Flexibility and Team Spirit
Since this role offers remote and hybrid options, be prepared to discuss how you manage your time and collaborate with teams in different settings. Highlight any previous experience working in flexible environments and how you maintain communication and productivity.
