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- Tasks: Build scalable data pipelines and optimise decision-making for renewable energy assets.
- Company: A leading renewable energy solutions company with a strong engineering culture.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a mission-driven team and make a real impact on the future of renewable energy.
- Qualifications: Experience in Python, SQL, and Databricks is essential.
- Other info: Be part of an innovative team focused on sustainability and technology.
The predicted salary is between 48000 - 72000 £ per year.
A renewable energy solutions company is looking for a Data Engineer to join their expanding Asset Performance Management team. The ideal candidate will have proven experience in building scalable data pipelines, with strong skills in Python and SQL, and hands-on experience in Databricks. This role is crucial for optimizing operational decision-making for renewable energy assets worldwide. It offers the chance to work with utility-scale live assets and be part of a strong engineering culture that emphasizes technical influence and ownership.
Senior Data Engineer — Renewable Asset Analytics in Glasgow employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — Renewable Asset Analytics in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the renewable energy sector, especially those working with data. LinkedIn is your best mate here—connect, engage, and don’t be shy to ask for informational chats.
✨Tip Number 2
Show off your skills! If you’ve built any cool data pipelines or projects, make sure to showcase them. A personal portfolio or GitHub can really set you apart from the crowd.
✨Tip Number 3
Prepare for the technical interview! Brush up on your Python and SQL skills, and be ready to discuss your experience with Databricks. Practice common data engineering problems to boost your confidence.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your experience aligns with optimising operational decision-making for renewable energy assets.
We think you need these skills to ace Senior Data Engineer — Renewable Asset Analytics in Glasgow
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, SQL, and Databricks in your application. We want to see how you've built scalable data pipelines in the past, so don’t hold back on those details!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to renewable energy and asset performance management. It’ll show us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it’s relevant. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Jobster
✨Know Your Data Pipelines
Make sure you can talk confidently about your experience in building scalable data pipelines. Be ready to discuss specific projects where you've implemented these skills, especially using Python and SQL. Highlight any challenges you faced and how you overcame them.
✨Showcase Your Databricks Experience
Since hands-on experience with Databricks is crucial for this role, prepare to share examples of how you've used it in past projects. Discuss the tools and techniques you employed, and be ready to explain how they contributed to optimising data workflows.
✨Understand Renewable Energy Context
Familiarise yourself with the renewable energy sector and the specific challenges it faces. Being able to relate your technical skills to real-world applications in renewable asset analytics will show your genuine interest and understanding of the industry.
✨Emphasise Team Collaboration
This role is part of a strong engineering culture, so be prepared to discuss how you work within a team. Share examples of how you've influenced technical decisions or taken ownership of projects, demonstrating your ability to collaborate effectively with others.
