At a Glance
- Tasks: Own a modern AWS data platform and design ETL pipelines to enhance data quality.
- Company: Join Energy Jobline, a leader in the energy sector, based in Central London.
- Benefits: Enjoy a competitive salary of £90,000 plus health, pension, and flexible leave options.
- Other info: Hybrid work model with 2-3 days in the office for a balanced lifestyle.
- Why this job: Make a real impact on data quality 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 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 like AWS, 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
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions related to AWS, Python, and SQL. We suggest doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills! Create a portfolio of projects that highlight your experience with ETL pipelines and data quality enhancements. We love seeing real-world applications of your expertise!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals to join our team, so make sure you stand out!
We think you need these skills to ace Lead Data Platform Engineer — AWS ELT/ETL, Hybrid
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 skills align with what we're looking for, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this role. Mention your experience with ETL pipelines and workflow management using Airflow, as it’s super relevant to what we need.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and make sure your points are easy to understand. We want to know what you can bring to our team!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
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 have hands-on experience.
✨Showcase Your Python Skills
Prepare to talk about your Python projects, especially those related to data engineering. Bring examples of scripts or applications you've built, and be ready to explain your thought process. This will demonstrate your coding proficiency and problem-solving abilities.
✨Demonstrate Data Quality Awareness
Since enhancing data quality is a key part of the role, think of examples where you've improved data integrity in past projects. Discuss the methods you used to ensure data accuracy and reliability, as this will highlight your attention to detail and commitment to quality.
✨Familiarise Yourself with Airflow
If you have experience with workflow management tools like Airflow, be prepared to discuss how you've implemented it in your previous roles. If you're less familiar, do some research on its features and benefits, so you can speak intelligently about it during the interview.
