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- Tasks: Build high-performance data systems and work on real-time analytics for the energy sector.
- Company: Leading UK energy firm shaping the future of energy with innovative solutions.
- Benefits: Flexible hybrid role, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the energy industry.
- Qualifications: Strong SQL and Python skills, experience with Apache Spark and Kafka.
- Other info: Collaborative environment with a focus on open-source technologies.
The predicted salary is between 36000 - 60000 £ per year.
A leading UK energy firm is seeking a Data Engineer to build high-performance data systems using open-source technologies. Join a data and trading team shaping the energy future, working on data ingestion pipelines, ETL processes, and real-time analytics.
The ideal candidate will have strong skills in SQL and Python, experience with Apache Spark, Kafka, Docker, and a problem-solving mindset.
This hybrid role offers flexibility with twice-a-week in-office requirements in London.
Real-Time Energy Data Engineer (Open-Source) employer: Norton Blake
Contact Detail:
Norton Blake Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Real-Time Energy Data Engineer (Open-Source)
✨Tip Number 1
Network like a pro! Reach out to folks in the energy sector, especially those working with data. LinkedIn is your best mate here – connect, engage, and don’t be shy to ask for a chat about their experiences.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with SQL, Python, and any open-source tech you've used. This is your chance to demonstrate your problem-solving mindset and real-time analytics capabilities.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of Apache Spark, Kafka, and Docker. Be ready to discuss how you’ve used these tools in past projects or how you would approach specific challenges in the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Real-Time Energy Data Engineer (Open-Source)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and Python skills in your application. We want to see how you've used these technologies in real-world scenarios, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your application for this role. Mention your experience with Apache Spark, Kafka, and Docker, and explain how they relate to the job. We love seeing candidates who take the time to connect their background to what we do.
Problem-Solving Examples: We’re all about that problem-solving mindset! Include examples of challenges you’ve faced in previous roles and how you tackled them. This will show us you’re ready to jump into our data and trading team.
Apply Through Our Website: Don’t forget to apply 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 a few clicks and you’re done!
How to prepare for a job interview at Norton Blake
✨Know Your Tech Stack
Make sure you’re well-versed in SQL, Python, and the open-source technologies mentioned in the job description. Brush up on your knowledge of Apache Spark, Kafka, and Docker, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Use examples that highlight your analytical thinking and ability to work under pressure, especially in real-time data scenarios.
✨Understand the Company’s Vision
Research the energy firm’s goals and recent projects. Being able to articulate how your skills can contribute to shaping the energy future will show your genuine interest and alignment with their mission.
✨Prepare for Hybrid Work Questions
Since this role is hybrid, be ready to discuss your experience with remote collaboration tools and how you manage your time effectively. Highlight any past experiences where you successfully worked in a flexible environment.
