At a Glance
- Tasks: Build and enhance a modern AWS-based data platform with hands-on data engineering.
- Company: Indotronix Avani UK, a leader in innovative data solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: On-site visits once a month in a dynamic work environment.
- Why this job: Engage with cutting-edge AI/ML technologies and make a real impact.
- Qualifications: 4–8+ years of experience, advanced SQL skills, and a solid BI background.
The predicted salary is between 55000 - 70000 £ per year.
Indotronix Avani UK is seeking a Business Intelligence Engineer / AWS Data Engineer to build and enhance a modern AWS-based data platform. This role involves hands-on data engineering, BI delivery, and engagement with AI/ML technologies.
The ideal candidate will have 4–8+ years of experience, advanced SQL skills, and a solid BI/analytics background. This position is hybrid, requiring on-site visits once a month.
Hybrid AWS Data Engineer for AI & Modern Data Platform employer: Indotronix Avani UK
Indotronix Avani UK is an excellent employer that fosters a collaborative and innovative work culture, where employees are encouraged to grow their skills in cutting-edge technologies like AI and AWS. With a strong focus on professional development and a hybrid work model that promotes work-life balance, this role offers unique opportunities to engage with advanced data solutions while being part of a supportive team. The company's commitment to employee well-being and career advancement makes it a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid AWS Data Engineer for AI & Modern Data Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with AWS and data engineering. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI/ML and data platforms. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and BI knowledge. Practice common data engineering scenarios and be ready to discuss how you've tackled challenges in past roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Hybrid AWS Data Engineer for AI & Modern Data Platform
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS and data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your advanced SQL skills and any BI projects you've worked on.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background in AI/ML technologies makes you a great fit. We love seeing genuine enthusiasm!
Showcase Relevant Projects:If you've worked on any projects that involved building or enhancing data platforms, make sure to mention them. We’re keen to see real-world examples of your work, especially if they relate to modern data solutions.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Indotronix Avani UK
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge, especially the services relevant to data engineering and AI/ML. Be prepared to discuss how you've used AWS in past projects and any specific tools like Redshift or Glue that you've worked with.
✨Show Off Your SQL Skills
Since advanced SQL skills are a must for this role, practice writing complex queries and be ready to explain your thought process. You might even get asked to solve a problem on the spot, so having a few examples of your work handy can really help.
✨Engage with AI/ML Technologies
Familiarise yourself with the latest trends in AI and machine learning, especially how they integrate with data platforms. Be ready to share your insights on how these technologies can enhance business intelligence and data delivery.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about their data platform, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
