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- Tasks: Build and maintain data pipelines, transforming raw data for analytics and AI.
- Company: Cyber Security training courses, a leader in data solutions.
- Benefits: Competitive salary of £60,000 and hybrid working arrangements.
- Other info: 18-month FTC with opportunities for hands-on data professionals.
- Why this job: Join a dynamic team and make an impact in the data landscape.
- Qualifications: 5+ years experience with SQL, Python, and Azure familiarity.
The predicted salary is between 60000 - 60000 £ per year.
Cyber Security training courses is seeking a Data Engineer in Greater London for an 18-month FTC, offering a salary of £60,000. In this role, you will build and maintain data pipelines, transform raw data for analytics and AI, and ensure data compliance.
Ideal candidates will have:
- Over 5 years of experience
- Strong SQL and Python skills
- Familiarity with cloud platforms like Azure
The position supports hybrid working arrangements, making it a great opportunity for hands-on data professionals.
Hybrid Data Engineer with Azure & Analytics Focus in London employer: Cyber Security training courses
Contact Detail:
Cyber Security training courses Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Engineer with Azure & Analytics Focus in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure. 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 data pipelines and analytics projects. This is a great way to demonstrate your SQL and Python expertise to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. We recommend practising how you’d explain your experience with cloud platforms like Azure and your approach to ensuring data compliance.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Hybrid Data Engineer with Azure & Analytics Focus in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and Azure. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any cool data pipelines or analytics projects, make sure to mention them in your application. We love seeing real-world examples of your work that demonstrate your expertise and creativity.
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 during the process!
How to prepare for a job interview at Cyber Security training courses
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've built or maintained data pipelines, as well as any challenges you faced and how you overcame them.
✨Familiarise Yourself with Azure
Since this role focuses on Azure, it’s crucial to understand its data services. Review Azure Data Factory, Azure Databricks, and any relevant analytics tools. Being able to speak confidently about how you've used these in past roles will impress your interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss scenarios where you've transformed raw data for analytics or AI. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your analytical thinking and problem-solving abilities.
✨Understand Data Compliance
Data compliance is key in this role, so make sure you’re familiar with relevant regulations and best practices. Be prepared to talk about how you've ensured data compliance in previous positions, as this will demonstrate your attention to detail and responsibility.