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- Tasks: Build and maintain scalable ETL pipelines for impactful fintech projects.
- Company: Fast-growing tech company in Belfast with a high-impact engineering team.
- Benefits: Full-time role with competitive salary and opportunities for growth.
- Why this job: Make a significant impact in the fintech industry while working with cutting-edge technology.
- Qualifications: 3+ years of data engineering experience, strong Python scripting, and SQL skills.
- Other info: Join a collaborative environment that values innovation and teamwork.
The predicted salary is between 30000 - 50000 £ per year.
A fast-growing technology company in Belfast is seeking a skilled Data Engineer to join a small, high-impact engineering team. The ideal candidate will have at least 3 years of experience in data engineering, strong scripting skills in Python, and solid SQL knowledge.
Responsibilities include:
- Building and maintaining ETL pipelines
- Supporting production data systems
- Contributing to code reviews in a collaborative environment
This full-time position offers an opportunity to make a significant impact in the field.
Data Engineer: Build Scalable ETL Pipelines for Fintech 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 Engineer: Build Scalable ETL Pipelines for Fintech in Belfast
✨Tip Number 1
Network like a pro! Reach out to current employees at the company or connect with fellow data engineers on LinkedIn. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL pipelines or any relevant projects you've worked on. This gives us a tangible way to see what you can bring to the table.
✨Tip Number 3
Prepare for the technical interview! Brush up on your Python scripting and SQL knowledge. We want to see how you think through problems, so practice coding challenges and be ready to explain your thought process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Data Engineer: Build Scalable ETL Pipelines for Fintech in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with ETL pipelines. We want to see your strong scripting skills in Python and solid SQL knowledge right from the get-go!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data engineering and how you can contribute to our high-impact team. Be specific about your past experiences and how they relate to the role.
Showcase Your Projects: If you've worked on any relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to build and maintain ETL pipelines. We love seeing real-world applications of your skills.
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 in our growing team!
How to prepare for a job interview at ViVA Tech Talent
✨Know Your ETL Inside Out
Make sure you can discuss your experience with building and maintaining ETL pipelines in detail. Be ready to explain the tools and technologies you've used, and how you've optimised these processes in previous roles.
✨Show Off Your Python Skills
Brush up on your Python scripting skills before the interview. Prepare to share specific examples of projects where you've used Python to solve data engineering challenges, and be ready to write some code on the spot if asked.
✨SQL is Key
Since solid SQL knowledge is a must, practice common SQL queries and be prepared to demonstrate your ability to manipulate and query data effectively. Think about how you've used SQL in past projects and be ready to discuss those experiences.
✨Collaborative Mindset
This role involves contributing to code reviews and working in a team. Be prepared to talk about your experience in collaborative environments, how you handle feedback, and any examples of successful teamwork in your previous positions.
