At a Glance
- Tasks: Own a modern AWS data platform and design ETL pipelines to enhance data quality.
- Company: Join a leading energy company in Central London with a focus on innovation.
- Benefits: Enjoy a competitive salary, health benefits, pension, and flexible leave options.
- Other info: Hybrid work model with 2-3 days in the office for better work-life balance.
- Why this job: Make a real impact in the energy sector while working with cutting-edge technology.
- Qualifications: Proficiency in AWS, Python, SQL, and experience with Airflow is essential.
The predicted salary is between 90000 - 90000 € per year.
Energy Jobline ZR is seeking a Senior Data Engineer based in Central London, offering a salary of £90,000 plus benefits. In this role, you will take ownership of a modern AWS data platform, design ETL pipelines, and enhance data quality.
Proficiency in AWS, Python, and SQL is essential, along with experience in workflow management with Airflow.
The position includes a hybrid work model of 2-3 days in the office, with a comprehensive benefits package that supports health, pension, and flexible leave options.
Lead Data Platform Engineer — AWS ELT/ETL, Hybrid in London employer: Energy Jobline ZR
Energy Jobline ZR is an exceptional employer that values innovation and employee well-being, offering a dynamic work environment in the heart of Central London. With a strong focus on professional development, employees are encouraged to grow their skills in cutting-edge technologies while enjoying a comprehensive benefits package that includes health support, pension plans, and flexible leave options. The hybrid work model fosters a healthy work-life balance, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Platform Engineer — AWS ELT/ETL, Hybrid in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and showcasing your skills. We recommend setting up mock interviews with friends or using online platforms to get comfortable talking about your experience with AWS, Python, and SQL.
✨Tip Number 3
Don’t forget to follow up after your interviews! A quick thank-you email can go a long way in keeping you top of mind. We suggest mentioning something specific from the interview to show your genuine interest.
✨Tip Number 4
Apply through our website for the best chance at landing that role! We make it easy for you to showcase your skills and experience directly to hiring managers. Plus, you’ll be in the loop for any updates on your application.
We think you need these skills to ace Lead Data Platform Engineer — AWS ELT/ETL, Hybrid in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your proficiency in AWS, Python, and SQL right from the get-go. We want to see how your experience aligns with the role, so don’t hold back on showcasing your technical prowess!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. Mention your experience with ETL pipelines and workflow management using Airflow, as these are key aspects we’re looking for.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your achievements stand out without unnecessary fluff.
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 with StudySmarter!
How to prepare for a job interview at Energy Jobline ZR
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge before the interview. Be ready to discuss specific services you've used, how you've designed ETL pipelines, and any challenges you've faced. This will show that you’re not just familiar with AWS, but that you can leverage it effectively in a real-world setting.
✨Showcase Your Python Skills
Prepare to demonstrate your Python expertise. You might be asked to solve a problem or explain how you've used Python in previous projects. Bring examples of your code or projects where you've implemented Python for data processing to highlight your skills.
✨Discuss Data Quality Strategies
Since enhancing data quality is a key part of the role, think about how you've tackled data quality issues in the past. Be ready to share specific strategies or tools you've used to ensure data integrity and accuracy, as this will show your proactive approach to data management.
✨Familiarise Yourself with Airflow
If you have experience with workflow management using Airflow, make sure to highlight it. Prepare to discuss how you've set up and managed workflows, and any optimisations you've made. If you're less familiar, do some quick research to understand its core functionalities and be ready to discuss how you would apply it in the role.
