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- Tasks: Design and build data pipelines, optimise ETL processes, and develop data models.
- Company: Leading energy company in the UK with a focus on innovation.
- Benefits: Competitive salary of £85,000, hybrid work model, and growth opportunities.
- Why this job: Join a forward-thinking team and make an impact in the energy sector.
- Qualifications: Strong skills in SQL and Python; experience with Spark and Kafka preferred.
- Other info: Dynamic work environment with excellent career advancement potential.
The predicted salary is between 68000 - 102000 £ per year.
An energy leader in the UK is seeking a Data Engineer to join their London office on a hybrid basis. The role involves designing and building data ingestion pipelines, optimising ETL/ELT processes, and developing data models.
Candidates should have strong skills in SQL and Python, and experience with tools like Apache Spark and Kafka.
This position offers a competitive salary of £85,000 per annum and is a great opportunity to work in a forward-thinking environment.
Data Engineer — Python, Airflow & Spark | Hybrid London employer: Norton Blake
Contact Detail:
Norton Blake Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer — Python, Airflow & Spark | Hybrid London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the team culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your data pipelines and models. This hands-on evidence of your expertise in Python, SQL, and Spark will make you stand out.
✨Tip Number 3
Ace the interview by practising common questions related to ETL processes and data modelling. We can help you with mock interviews to boost your confidence and refine your answers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have insider tips on what the hiring managers are looking for.
We think you need these skills to ace Data Engineer — Python, Airflow & Spark | Hybrid London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and any tools like Apache Spark and Kafka. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Engineer position and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, mention specific challenges you've tackled in data ingestion or ETL processes. We love seeing how you approach problems and come up with innovative solutions, so share those success stories!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our London office!
How to prepare for a job interview at Norton Blake
✨Know Your Tech Stack
Make sure you brush up on your SQL, Python, and any tools like Apache Spark and Kafka. Be ready to discuss how you've used these technologies in past projects, as this will show your practical experience and understanding of the role.
✨Prepare for Technical Questions
Expect some technical questions or even a coding challenge during the interview. Practise common data engineering problems and be prepared to explain your thought process clearly. This will demonstrate your problem-solving skills and technical knowledge.
✨Showcase Your Pipeline Experience
Since the role involves designing and building data ingestion pipelines, come prepared with examples of your previous work. Discuss the challenges you faced and how you optimised ETL/ELT processes, as this will highlight your hands-on experience.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions about the company’s data strategy or the team’s current projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.