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- Tasks: Develop scalable data platforms and maintain data pipelines using cutting-edge technologies.
- Company: Leading tech company in the UK with a dynamic team culture.
- Benefits: Competitive salary, career growth opportunities, and a collaborative work environment.
- Why this job: Join a forward-thinking team and enhance your skills in data engineering.
- Qualifications: 6+ years in Data Engineering with expertise in Python, PySpark, SQL, and Airflow.
- Other info: Exciting opportunity to work with AWS and Terraform in a fast-paced setting.
The predicted salary is between 60000 - 84000 £ per year.
A leading tech company in the United Kingdom is looking for a Senior Data Engineer to develop scalable data platforms. The successful candidate will have at least 6 years of experience in Data Engineering, skilled in Python, PySpark, SQL, and Airflow, and familiar with AWS and Terraform.
Responsibilities include:
- Maintaining data pipelines
- Orchestrating tasks with Airflow
- Implementing various AWS services
This is a great opportunity to join a dynamic team and enhance your career.
Senior Data Engineer: PySpark, AWS & Airflow Lead in London employer: Athsai
Contact Detail:
Athsai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: PySpark, AWS & Airflow Lead in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with data engineering. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with PySpark, AWS, and Airflow. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and Python skills. Practice common data engineering problems and be ready to discuss your past experiences with data pipelines and AWS services.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented folks like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Data Engineer: PySpark, AWS & Airflow Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, PySpark, SQL, and Airflow. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how your experience with AWS and Terraform makes you the perfect fit for our team.
Showcase Your Problem-Solving Skills: In your application, share examples of how you've tackled challenges in data engineering. We love seeing how you approach problems and implement solutions, especially with scalable data platforms!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Athsai
✨Know Your Tech Stack
Make sure you’re well-versed in Python, PySpark, SQL, and Airflow. Brush up on your AWS and Terraform knowledge too. Be ready to discuss how you've used these technologies in past projects, as this will show your practical experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in data engineering and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easier for the interviewers to follow your thought process.
✨Understand the Company’s Data Needs
Research the company’s current data platforms and any recent projects they’ve undertaken. This will help you tailor your responses to demonstrate how your skills can directly benefit their operations and align with their goals.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the team dynamics, the tech stack they use, or upcoming projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.