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- Tasks: Build robust data pipelines and support front-office analytics in energy trading.
- Company: Leading energy trading organisation with a focus on innovation.
- Benefits: Competitive contract rate, potential for extension, and hands-on experience.
- Why this job: Join a dynamic team and make an impact during a major data platform transition.
- Qualifications: Strong Python and SQL skills, plus experience with Azure Blob Storage or S3.
- Other info: Opportunity to mentor less experienced engineers in a collaborative environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading energy trading organisation is seeking a Senior Python Data Engineer to support front-office analytics during a major data platform transition. This hands-on contract position requires strong Python and SQL skills, proficiency in data modelling, and experience with Azure Blob Storage or S3.
The successful candidate will build robust data pipelines, work directly with traders, and contribute to a mixed-ability data team while mentoring less experienced engineers.
The role begins immediately and initially lasts until year-end, with a potential extension to two years.
Energy Trading Data Engineer: Python Pipelines employer: twentyAI
Contact Detail:
twentyAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Energy Trading Data Engineer: Python Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the energy trading 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 or GitHub repos, make sure to highlight them. Real-world examples of your Python and SQL prowess will make you stand out.
✨Tip Number 3
Prepare for those interviews! Brush up on your data modelling knowledge and be ready to discuss how you've built data pipelines in the past. We want to see your thought process!
✨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 take that extra step.
We think you need these skills to ace Energy Trading Data Engineer: Python Pipelines
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used Python to build data pipelines or solve complex problems, so don’t hold back on those examples!
SQL is Key: Since SQL skills are a must-have for this role, be sure to include any relevant experience you have with databases. We love seeing how you've used SQL to manipulate and analyse data in past projects.
Talk About Your Data Modelling Experience: Data modelling is crucial for this position, so share any experiences where you've designed or implemented data models. We’re keen to know how you approach structuring data for optimal use.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you're serious about joining our team!
How to prepare for a job interview at twentyAI
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with building data pipelines and any specific projects you've worked on. They’ll likely want to see how you approach problem-solving using Python, so prepare to showcase your coding abilities.
✨SQL Skills Are Key
Since SQL is a crucial part of this role, ensure you can confidently talk about your SQL experience. Practice writing queries and be prepared to explain how you've used SQL in past projects, especially in relation to data modelling and analytics.
✨Familiarise Yourself with Cloud Storage Solutions
Get comfortable with Azure Blob Storage or S3, as these are essential for the position. If you have experience with either, be ready to discuss how you've implemented them in your work. If not, do some research and understand their functionalities and use cases.
✨Show Your Team Spirit
This role involves mentoring less experienced engineers and working closely with traders. Be prepared to share examples of how you've collaborated in teams and supported others in their development. Highlighting your ability to communicate effectively will set you apart.
