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- Tasks: Build and maintain data infrastructure for analytics in the energy sector.
- Company: Kraken, a leader in sustainable energy solutions.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Be part of a team making a real impact on Net Zero initiatives.
- Why this job: Join us to drive projects that contribute to a sustainable energy future.
- Qualifications: Experience with Python, SQL, DBT, and cloud environments like AWS.
The predicted salary is between 60000 - 80000 £ per year.
Kraken in Greater London is seeking an experienced Data Engineer to join our Data Platform Team. You will build and maintain a data infrastructure that is crucial for analytics and support our global growth.
Ideal candidates will have extensive experience with:
- Python
- SQL
- DBT
- Cloud environments like AWS
This role offers a unique opportunity to work on projects that drive toward a sustainable energy future and contribute to Net Zero initiatives.
Data Engineer - Energy Data Platform in London employer: Kraken
Contact Detail:
Kraken Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Energy Data Platform in London
✨Tip Number 1
Network like a pro! Reach out to folks in the energy sector or data engineering roles on LinkedIn. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Python, SQL, and DBT. This is your chance to demonstrate what you can do beyond the CV – let your work speak for itself!
✨Tip Number 3
Prepare for those interviews! Research common data engineering questions and practice your answers. We want you to feel confident discussing your experience with cloud environments like AWS.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Engineer - Energy Data Platform in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, DBT, and cloud environments like AWS. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our mission of driving towards a sustainable energy future. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's a personal project or something from a previous job, we love seeing practical examples of your work and how you tackle challenges.
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 Kraken
✨Know Your Tech Stack
Make sure you brush up on your Python, SQL, and DBT skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in cloud environments like AWS. This will show that you're not just familiar with the tools but can also apply them effectively.
✨Understand the Energy Sector
Since this role is focused on the energy data platform, take some time to research current trends and challenges in the energy sector. Being able to speak knowledgeably about sustainable energy initiatives and Net Zero goals will demonstrate your genuine interest in the company's mission.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and understanding of data infrastructure. Practice coding challenges or SQL queries beforehand, as this will help you feel more confident when tackling similar questions during the interview.
✨Showcase Your Team Spirit
Collaboration is key in a data platform team. Be prepared to share examples of how you've worked effectively in teams, particularly in cross-functional settings. Highlighting your ability to communicate complex data concepts to non-technical stakeholders can set you apart from other candidates.