Hybrid Data Engineer - Energy Trading (Open-Source)
Hybrid Data Engineer - Energy Trading (Open-Source)

Hybrid Data Engineer - Energy Trading (Open-Source)

Full-Time 43200 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and build data pipelines using open-source tech for energy trading.
  • Company: Leading energy trading firm in the UK with a focus on innovation.
  • Benefits: Competitive pay, flexible working, and a chance to work in London.
  • Why this job: Join a dynamic team and optimise data systems that impact the energy sector.
  • Qualifications: Experience with SQL, Python, Apache Spark, Docker, and Kubernetes required.
  • Other info: Great opportunity for career growth in a hybrid work environment.

The predicted salary is between 43200 - 72000 £ per year.

A leading energy trading firm in the UK seeks a passionate Data Engineer to optimize data systems using open-source technologies. In this hybrid role, you will design and build data pipelines, develop schemas, and contribute to architecture decisions.

The ideal candidate has hands-on experience with SQL, Python, Apache Spark, Docker, and Kubernetes, along with a problem-solving mindset.

This position offers competitive compensation and the opportunity to work flexibly in London.

Hybrid Data Engineer - Energy Trading (Open-Source) employer: Norton Blake

As a leading energy trading firm in the UK, we pride ourselves on fostering a dynamic work culture that values innovation and collaboration. Our employees enjoy competitive compensation, flexible working arrangements in the vibrant city of London, and ample opportunities for professional growth through continuous learning and development initiatives. Join us to be part of a forward-thinking team that is committed to leveraging open-source technologies to drive impactful solutions in the energy sector.
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Contact Detail:

Norton Blake Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Hybrid Data Engineer - Energy Trading (Open-Source)

✨Tip Number 1

Network like a pro! Reach out to folks in the energy trading sector on LinkedIn or at industry events. We can’t stress enough how personal connections can open doors for you.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data pipelines and projects using SQL, Python, and Apache Spark. We love seeing real examples of what you can do!

✨Tip Number 3

Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your problem-solving approach. We want to see how you tackle challenges head-on.

✨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 passionate candidates like you who are eager to make an impact.

We think you need these skills to ace Hybrid Data Engineer - Energy Trading (Open-Source)

Data Engineering
SQL
Python
Apache Spark
Docker
Kubernetes
Data Pipeline Design
Schema Development
Architecture Decision-Making
Problem-Solving Mindset

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and other relevant technologies. We want to see how your skills align with the role, so don’t be shy about showcasing your hands-on experience!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how you can contribute to our team. Keep it engaging and relevant to the energy trading sector.

Showcase Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We love a good problem-solver, so share those stories that demonstrate your analytical mindset and creativity!

Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!

How to prepare for a job interview at Norton Blake

✨Know Your Tech Stack

Make sure you’re well-versed in SQL, Python, Apache Spark, Docker, and Kubernetes. Brush up on your knowledge of these technologies and be ready to discuss how you've used them in past projects. This will show the interviewers that you have the hands-on experience they’re looking for.

✨Showcase Your Problem-Solving Skills

Prepare to share specific examples of challenges you've faced in data engineering and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your analytical thinking and problem-solving mindset, which is crucial for this role.

✨Understand the Company’s Mission

Research the energy trading firm and understand their goals and values. Be prepared to discuss how your skills and experiences align with their mission. This shows that you’re not just interested in the job, but also in contributing to their success.

✨Ask Insightful Questions

Prepare a few thoughtful questions about the team, projects, or company culture. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you. It’s a two-way street, so make sure you’re also interviewing them!

Hybrid Data Engineer - Energy Trading (Open-Source)
Norton Blake

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