At a Glance
- Tasks: Design and build robust data pipelines for energy trading using cutting-edge technologies.
- Company: Join a leading energy firm shaping the future with data-driven insights.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Flexible working environment with a focus on collaboration and innovation.
- Why this job: Make a real impact in the energy sector while working with innovative data solutions.
- Qualifications: Strong SQL and Python skills, experience with Spark and Kafka required.
The predicted salary is between 80000 - 85000 £ per year.
My client, an energy leader at the forefront of the UK market, is searching for a Data Engineer to join them as soon as possible. This is an exciting opportunity to join a highly experienced data and trading team helping to shape the future of energy through data-driven insight and technology. We are looking for a Data Engineer who is passionate about building scalable, high-performance data systems using open-source technologies. You will play a key role in developing robust pipelines, optimising performance, and supporting real-time analytics across the business. This will be a hybrid role – ideally twice a week in London, but there is flexibility.
What you'll be doing:
- Designing and building robust data ingestion pipelines
- Creating and optimising ETL / ELT processes across varied data volumes
- Developing data models and schemas to support analytics and product use cases
- Monitoring, troubleshooting and improving pipeline performance and reliability
- Implementing data quality, validation and monitoring processes
- Contributing to architecture decisions and the data roadmap
Key experience:
- Strong SQL and Python skills (pandas, NumPy, Spark)
- Hands‑on experience with Apache Spark, Kafka, and Airflow
- Solid understanding of data warehousing and distributed computing
- Experience with Docker, Kubernetes, and CI/CD pipelines
- A problem‑solving mindset and the ability to communicate complex ideas clearly
Hybrid Data Engineer — Spark, Kafka & ETL for Energy Trading employer: Norton Blake
Join a pioneering energy leader in the UK market, where innovation meets collaboration in a dynamic work environment. As a Data Engineer, you'll benefit from a culture that values continuous learning and professional growth, with opportunities to work on cutting-edge projects using open-source technologies. Enjoy the flexibility of a hybrid role based in London, allowing you to balance your professional and personal life while contributing to the future of energy through impactful data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Data Engineer — Spark, Kafka & ETL for Energy Trading
✨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, especially those using Spark, Kafka, or ETL processes, make sure to share them. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and Python skills. Be ready to tackle some technical questions or even a coding challenge. We want to see how you think on your feet!
✨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 Hybrid Data Engineer — Spark, Kafka & ETL for Energy Trading
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your strong SQL and Python skills, as well as any hands-on experience with Spark and Kafka. We want to see how you can contribute to our data-driven insights!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about energy trading and how your background aligns with our needs. Don’t forget to mention your problem-solving mindset and ability to communicate complex ideas clearly.
Showcase Your Projects:If you've worked on relevant projects, make sure to include them in your application. Whether it's building data pipelines or optimising ETL processes, we love seeing real-world examples of your work and how you’ve tackled challenges.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Norton Blake
✨Know Your Tech Stack
Make sure you brush up on your SQL, Python, and the tools mentioned in the job description like Spark and Kafka. Be ready to discuss how you've used these technologies in past projects, as this will show your hands-on experience and problem-solving skills.
✨Showcase Your Pipeline Skills
Prepare to talk about your experience with building and optimising data ingestion pipelines. Think of specific examples where you improved performance or reliability, and be ready to explain the impact of your work on the overall data architecture.
✨Communicate Clearly
Since the role requires explaining complex ideas, practice articulating your thoughts clearly. Use simple language to describe your technical experiences, especially when discussing data models and ETL processes, so that even non-technical interviewers can follow along.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s data roadmap and architecture decisions. This not only demonstrates your enthusiasm for the role but also helps you gauge if the company aligns with your career goals.
