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- Tasks: Join a greenfield data project, transforming data systems for a leading energy trading company.
- Company: Top energy trading organisation with exciting growth opportunities.
- Benefits: Competitive salary up to £90k, flexible working, and career advancement.
- Other info: Collaborative team environment with unique technical challenges.
- Why this job: Make a real impact in energy trading while expanding your skills in AI and machine learning.
- Qualifications: Experience in Python and building data pipelines is essential.
The predicted salary is between 90000 - 90000 £ per year.
Work on a greenfield data project for one of the world’s leading energy organisations, leveraging data points across energy sources to enable their trading team to make decisions & drive success.
We’re looking for a Senior Data Engineer to join a brand-new team in a leading Energy Trading Company, to take forward their migration from legacy data systems to create a future-proof data ingestion & storage solution focused on scalability.
This role is perfect for:
- Senior Data Engineers that want to work in one of the world’s rapidly expanding fields, the world of energy trading is a fascinating one, with all manner of unique technical challenges.
- Senior Data Engineers that want to work on a greenfield data project which will have a major impact within a top organisation in their field.
- Senior Data Engineers that want to expand their skillset in Artificial Intelligence & Machine Learning as applied to algorithmic trading in an environment where billions in currency are hinging on every trading decision.
For technology, they’re employing Python, Airflow, Great Expectations, and Docker – hosted in Azure.
Responsibilities include:
- Work on a greenfield data project in a leading Energy Trading Company, focusing on migration from legacy data systems to a scalable data ingestion & storage solution.
- Collaborate within a flat team structure to influence the direction of the project as it scales, working alongside other engineers.
- Transform how data is handled to enable the trading team to make informed decisions.
Qualifications:
- Experience working with Python in building data pipelines.
- Knowledge of typical data storage solutions e.g. relational databases.
Technologies include Python, Airflow, Great Expectations, Docker, hosted in Azure.
This role is London based, looking for two days per week in the office (flexible) and is paying up to 90k per annum.
If this role’s of interest, please apply now for more information.
Senior Data Engineer employer: My Agency
Contact Detail:
My Agency Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people 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! Create a portfolio showcasing your data projects, especially those using Python and other relevant tech. This gives you a chance to demonstrate your expertise beyond the application.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of data ingestion and storage solutions. Be ready to discuss how you've tackled similar challenges in the past – real-world examples go a long way!
✨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
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Python and any relevant projects you've worked on, especially those involving data pipelines or migration from legacy systems.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this greenfield project and how your skills can help the trading team make informed decisions. Keep it engaging and personal.
Showcase Your Technical Skills: Don’t forget to mention your familiarity with technologies like Airflow, Docker, and Azure. If you have experience with AI and Machine Learning, definitely include that too – it’s a big plus for this role!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates!
How to prepare for a job interview at My Agency
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, Airflow, and Docker. Brush up on how these tools can be used in data ingestion and storage solutions, as you'll likely be asked to discuss your experience with them.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly around migrating legacy systems or building scalable data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand the Energy Trading Landscape
Familiarise yourself with the basics of energy trading and the unique challenges it presents. This will not only show your interest in the field but also help you connect your technical skills to the business needs during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the team structure, project goals, and how success is measured in this role. This demonstrates your enthusiasm for the position and helps you gauge if the company culture aligns with your values.