Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Create and manage a modern analytics and data platform on AWS.
- Company: Dynamic tech company in Belfast with a mission-focused culture.
- Benefits: Genuine ownership of projects, competitive salary, and career growth opportunities.
- Why this job: Make a real impact by shaping the data strategy in a cutting-edge environment.
- Qualifications: 5+ years in data engineering with expertise in AWS, SQL, and Python.
- Other info: Join a collaborative team and influence the future of data analytics.
The predicted salary is between 42000 - 60000 £ per year.
A dynamic tech company based in Belfast is seeking its first dedicated Data Engineer to create and manage a modern analytics and data platform. The role demands 5+ years of experience in data engineering with strong expertise in AWS, SQL, and Python.
Candidates will design a scalable data platform, optimize data quality, and work closely with engineering teams. This position offers genuine ownership and influence over data strategy while being part of a mission-focused tech environment.
Data Platform Engineer - Build & Own Scalable AWS Platform in Belfast employer: ViVA Tech Talent
Contact Detail:
ViVA Tech Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer - Build & Own Scalable AWS Platform in Belfast
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Platform Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in AWS, SQL, and Python. We recommend including any personal projects or contributions to open-source that demonstrate your ability to build and manage scalable data platforms.
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss your past experiences. We suggest practicing with a friend or using mock interview platforms to boost your confidence.
✨Tip Number 4
Apply through our website! We make it super easy for you to submit your application directly. Plus, it shows us you’re genuinely interested in being part of our mission-focused tech environment.
We think you need these skills to ace Data Platform Engineer - Build & Own Scalable AWS Platform in Belfast
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of experience in data engineering. We want to see your expertise in AWS, SQL, and Python shine through in your application!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect how your skills align with our needs for building and owning a scalable data platform. We love seeing candidates who take the time to connect their experience to the role.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your key achievements and skills are easy to spot!
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 this exciting opportunity to influence our data strategy!
How to prepare for a job interview at ViVA Tech Talent
✨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 implemented them in past projects, and any challenges you faced. This will show that you not only understand the platform but can also leverage it effectively.
✨Showcase Your SQL Skills
Prepare to demonstrate your SQL expertise with real-world examples. Think about complex queries you've written or optimisations you've made. Being able to talk through your thought process will highlight your problem-solving skills and technical proficiency.
✨Python Proficiency is Key
Since Python is a crucial part of the role, be ready to discuss your experience with it. Bring examples of scripts or applications you've built, and if possible, prepare to solve a coding challenge during the interview. This will help illustrate your coding style and approach to data engineering tasks.
✨Emphasise Collaboration and Ownership
This role involves working closely with engineering teams, so be prepared to discuss how you've collaborated in the past. Share examples of how you've taken ownership of projects and influenced data strategy. This will demonstrate that you're not just a techie but also a team player who can drive results.