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- Tasks: Engineer real-time data feeds for power trading analytics and optimise performance.
- Company: Join a leading firm in the financial services sector, focused on innovation.
- Benefits: Competitive salary, generous parental leave, and comprehensive insurance packages.
- Other info: Exciting opportunities for career advancement in a dynamic environment.
- Why this job: Make a significant impact in the energy market with your data engineering skills.
- Qualifications: 5-10 years of data engineering experience, strong SQL, and Python proficiency.
The predicted salary is between 70000 - 90000 £ per year.
Jobs via eFinancialCareers is looking for a Senior Data Engineer in Greater London. This role involves engineering the availability and performance of real-time data feeds for the Intraday Short-Term Power business.
Candidates should have 5-10 years of experience in data engineering within similar market environments, strong SQL skills, and proficiency in Python.
The position offers competitive salaries along with generous benefits, including parental leave policies and comprehensive insurance packages.
Senior Real-Time Data Engineer for Power Trading Analytics employer: Jobs via eFinancialCareers
Contact Detail:
Jobs via eFinancialCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Real-Time Data Engineer for Power Trading Analytics
✨Tip Number 1
Network like a pro! Reach out to folks in the power trading analytics space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data Engineer role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your real-time data projects, especially those involving SQL and Python. We want to see how you’ve tackled challenges in similar market environments – it’ll make you stand out!
✨Tip Number 3
Ace the interview! Brush up on your technical knowledge and be ready to discuss your experience with data feeds and analytics. We recommend practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for talented individuals like you to join our team in Greater London, so don’t hesitate to hit that apply button!
We think you need these skills to ace Senior Real-Time Data Engineer for Power Trading Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially in real-time data feeds. We want to see how your skills in SQL and Python align with the role, so don’t hold back on 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 power trading analytics and how your background makes you a perfect fit for our 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 previous roles. We love seeing candidates who can think on their feet and come up with innovative solutions, especially in fast-paced environments like power trading.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you get all the updates about your application status. Plus, it’s super easy!
How to prepare for a job interview at Jobs via eFinancialCareers
✨Know Your Data Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be prepared to discuss specific projects where you've engineered real-time data feeds, as this will show your hands-on experience in similar market environments.
✨Understand the Power Trading Landscape
Familiarise yourself with the Intraday Short-Term Power business and current trends in power trading analytics. This knowledge will help you answer questions more effectively and demonstrate your genuine interest in the role.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving abilities and coding skills. Practise coding challenges related to data engineering and be ready to explain your thought process clearly during the interview.
✨Showcase Your Teamwork Skills
Since this role likely involves collaboration with other teams, be ready to share examples of how you've successfully worked in a team environment. Highlight any experiences where you’ve contributed to cross-functional projects or improved team performance.