At a Glance
- Tasks: Build scalable data pipelines and optimise datasets for AI use.
- Company: Cyber Security training courses with a focus on innovation.
- Benefits: Up to £80,000 salary, flexible working, 25 days holiday plus a birthday day off.
- Other info: Remote/hybrid work options available for a better work-life balance.
- Why this job: Join a dynamic team and enhance your skills in cloud-based data engineering.
- Qualifications: Strong SQL and Python skills; experience with AWS Redshift and dbt.
The predicted salary is between 80000 - 80000 € per year.
Cyber Security training courses is seeking a Data Engineer in Reading to support a cloud-based data platform. You'll build scalable data pipelines, optimize analytics-ready datasets, and improve data access for AI use cases.
Ideal candidates have strong SQL and Python skills, and experience with AWS Redshift and dbt.
The position offers up to £80,000 salary, flexible working options, and 25 days holiday plus an additional day for your birthday.
Data Engineer - Cloud Pipelines & Analytics (Remote/Hybrid) in Reading employer: Cyber Security training courses
Join a forward-thinking company that prioritises innovation and employee well-being. As a Data Engineer in Reading, you'll enjoy a competitive salary of up to £80,000, flexible working arrangements, and generous holiday allowances, including an extra day off for your birthday. Our collaborative work culture fosters professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of cloud data engineering.
Contact Detail:
Cyber Security training courses Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Cloud Pipelines & Analytics (Remote/Hybrid) in Reading
✨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
Show off your skills! Create a portfolio showcasing your data pipelines and analytics projects. We want to see what you can do with SQL and Python, so make sure to highlight your experience with AWS Redshift and dbt.
✨Tip Number 3
Prepare for those interviews! Research common questions for Data Engineers and practice your answers. We suggest focusing on your problem-solving skills and how you’ve optimised datasets in the past.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer - Cloud Pipelines & Analytics (Remote/Hybrid) in Reading
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your SQL and Python skills in your application. We want to see how you can build those scalable data pipelines and optimise datasets, so don’t hold back on showcasing your experience with AWS Redshift and dbt!
Tailor Your Application:Take a moment to tailor your application to the job description. Mention specific projects or experiences that relate to cloud-based data platforms and AI use cases. This helps us see how you fit into our team!
Be Clear and Concise:When writing your application, keep it clear and concise. We appreciate straightforward communication, so avoid jargon unless it’s relevant. Let’s get to the point and show us what you can do!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Cyber Security training courses
✨Know Your Tech Stack
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in relation to building data pipelines and optimising datasets.
✨Familiarise with AWS Redshift and dbt
Since the role involves working with AWS Redshift and dbt, take some time to understand their functionalities and best practices. You might be asked about your experience with these tools, so having specific examples ready will show you're well-prepared.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in previous roles and how you overcame them. This is particularly important for a Data Engineer role where problem-solving is key to optimising data access for AI use cases.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects or the company’s approach to cloud-based data platforms. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
