Senior Data Engineer – Renewable Asset Analytics & APM in Glasgow
Senior Data Engineer – Renewable Asset Analytics & APM

Senior Data Engineer – Renewable Asset Analytics & APM in Glasgow

Glasgow Full-Time 42000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and maintain data pipelines for operational renewable assets.
  • Company: Leading renewable energy company based in Glasgow.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Why this job: Join a mission-driven team making a real impact in renewable energy.
  • Qualifications: Strong skills in Python, SQL, and experience with APM platforms.
  • Other info: Collaborative environment with exciting projects in utility-scale energy.

The predicted salary is between 42000 - 84000 £ per year.

A leading renewable energy company in Glasgow is seeking an experienced Data Engineer to join their Asset Performance Management technology team. This role involves designing and maintaining high-quality data pipelines used in the management of operational renewable assets.

Ideal candidates should have a strong background in Python, SQL, and experience working with APM platforms like Power Factors, Bazefield, or GPM. You will collaborate with cross-functional teams to improve performance and reliability of data systems, contributing to live utility-scale projects.

Senior Data Engineer – Renewable Asset Analytics & APM in Glasgow employer: Piper Maddox

As a leading renewable energy company based in Glasgow, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to make a meaningful impact in the renewable sector. We offer competitive benefits, continuous professional development opportunities, and a commitment to sustainability, making us an excellent employer for those passionate about driving change in the energy landscape.
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Contact Detail:

Piper Maddox Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer – Renewable Asset Analytics & APM in Glasgow

Tip Number 1

Network like a pro! Reach out to folks in the renewable energy sector, especially those working with data engineering. A friendly chat can open doors and give you insights that job descriptions just can't.

Tip Number 2

Show off your skills! If you've got experience with Python and SQL, consider creating a small project or two to showcase your abilities. Share it on platforms like GitHub and mention it during interviews to stand out.

Tip Number 3

Prepare for the technical interview! Brush up on your knowledge of APM platforms like Power Factors or Bazefield. We recommend practising common data engineering problems and being ready to discuss how you've tackled similar challenges in the past.

Tip Number 4

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 genuinely interested in joining our team!

We think you need these skills to ace Senior Data Engineer – Renewable Asset Analytics & APM in Glasgow

Data Engineering
Python
SQL
APM Platforms
Power Factors
Bazefield
GPM
Data Pipeline Design
Collaboration
Performance Improvement
Reliability Engineering
Cross-Functional Teamwork
Utility-Scale Projects

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and any APM platforms you've worked with. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about renewable energy and how your background makes you a perfect fit for our Asset Performance Management team. Let us know what excites you about this opportunity!

Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled challenges in data engineering. We love seeing candidates who can think critically and improve data systems, so share those success stories with us!

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 the role. Plus, it’s super easy – just follow the prompts!

How to prepare for a job interview at Piper Maddox

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 data pipelines or worked with APM platforms like Power Factors, Bazefield, or GPM. This will show that you not only understand the tools but can also apply them effectively.

Showcase Your Collaboration Skills

Since this role involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you improved performance or reliability of data systems through teamwork. This will demonstrate your ability to fit into their team dynamic.

Prepare for Technical Questions

Expect some technical questions related to data engineering and renewable asset analytics. Practice explaining complex concepts in simple terms, as you might need to communicate these ideas to non-technical stakeholders. This will showcase your communication skills and technical expertise.

Research the Company and Its Projects

Familiarise yourself with the company's mission and current projects in renewable energy. Being able to discuss how your skills align with their goals will set you apart. It shows genuine interest and that you’re not just looking for any job, but specifically want to contribute to their success.

Senior Data Engineer – Renewable Asset Analytics & APM in Glasgow
Piper Maddox
Location: Glasgow

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