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- Tasks: Build and maintain data pipelines for renewable energy assets, ensuring top-notch data quality.
- Company: Established renewable energy company in London with a focus on innovation.
- Benefits: Competitive salary, stability, and opportunities for technical influence.
- Why this job: Join a high-impact team and contribute to sustainable energy solutions.
- Qualifications: Strong Python and SQL skills, plus experience with Databricks and APM platforms.
- Other info: Be part of a growing digital platform with excellent career prospects.
The predicted salary is between 43200 - 72000 £ per year.
An established renewable energy company in London is seeking an experienced Data Engineer to enhance their Asset Performance Management technology team. You will develop and maintain scalable data pipelines, ensuring data quality and governance for renewable energy assets.
The ideal candidate should have strong skills in Python, SQL, and hands-on experience with Databricks, as well as familiarity with APM platforms like Power Factors and GPM.
This is a high-impact position within a growing digital platform offering stability and technical influence.
Senior Data Engineer, Renewables Platform in City of London employer: Piper Maddox
Contact Detail:
Piper Maddox Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer, Renewables Platform in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the renewable energy sector on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects, especially those involving Python, SQL, or Databricks, make sure to share them during interviews. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your data pipeline knowledge and governance practices. We recommend practising common data engineering problems to boost your confidence.
✨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 Senior Data Engineer, Renewables Platform in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and Databricks. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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.
Showcase Your Technical Skills: Don’t forget to mention any hands-on experience you have with APM platforms like Power Factors and GPM. We love seeing candidates who can hit the ground running, so let us know what you’ve worked on!
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 our growing digital platform!
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 used these technologies, especially in relation to data pipelines and governance.
✨Familiarise with APM Platforms
Since the role involves working with Asset Performance Management platforms like Power Factors and GPM, do some research on these tools. Understanding their functionalities will help you answer questions more confidently and show your genuine interest in the position.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving skills. Think of examples from your past experience where you had to troubleshoot data issues or optimise a pipeline, and be ready to explain your thought process.
✨Show Your Passion for Renewables
This is a role in the renewable energy sector, so express your enthusiasm for sustainability and how data engineering can drive positive change. Share any relevant experiences or projects that highlight your commitment to this field.
