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- Tasks: Build and optimise data pipelines in a cloud environment.
- Company: A growing tech company in Belfast with a friendly team.
- Benefits: Competitive salary, collaborative culture, and opportunities for growth.
- Why this job: Join a team that values quality and drives impactful data solutions.
- Qualifications: Strong SQL and Python skills, plus cloud experience (preferably AWS).
- Other info: Contribute to a vibrant data culture and modernise ETL processes.
The predicted salary is between 30000 - 42000 £ per year.
A growing technology company in Belfast is looking for a Data Engineer to build and optimize data pipelines in a cloud environment. You will collaborate with stakeholders for scalable data solutions and modernize ETL processes. Strong SQL and Python skills, along with cloud experience (preferably AWS), are essential. Join a friendly team that values quality and collaboration, and contribute to a data culture that drives impact.
Data Engineer: Build Scalable Cloud Pipelines & Insights in Belfast employer: Rewardinsight
Contact Detail:
Rewardinsight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Build Scalable Cloud Pipelines & Insights in Belfast
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn or attend local tech meetups. Building connections can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines or any relevant projects. This gives us a chance to demonstrate our SQL and Python prowess, making us stand out in interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on cloud technologies, especially AWS. We should practice common data engineering problems and be ready to discuss how we can modernize ETL processes.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows we’re genuinely interested in joining the team and contributing to their data culture.
We think you need these skills to ace Data Engineer: Build Scalable Cloud Pipelines & Insights in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL and Python skills, as well as any cloud experience you have, especially with AWS. We want to see how your background aligns with the role of a Data Engineer in our team.
Craft a Compelling Cover Letter: Use your cover letter to showcase your passion for building scalable data solutions. Tell us about your previous experiences and how they relate to modernising ETL processes. We love hearing your story!
Showcase Collaboration Skills: Since we value teamwork, mention any past projects where you collaborated with stakeholders. Highlight how you contributed to creating impactful data solutions, as this is key to our friendly team culture.
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 from our team!
How to prepare for a job interview at Rewardinsight
✨Know Your Tech Stack
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in a cloud environment like AWS. This will show that you not only understand the tools but can also apply them effectively.
✨Understand the Company Culture
Research the company’s values and team dynamics. Since they emphasise collaboration and quality, think of examples from your past experiences where you worked well in a team or contributed to a project that had a significant impact. This will help you connect with the interviewers.
✨Prepare for Technical Questions
Expect technical questions related to building and optimising data pipelines. Practice explaining your thought process clearly and concisely. You might even want to prepare a mini case study or example of how you modernised an ETL process in a previous role.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the current challenges the team faces with their data pipelines or how they envision the data culture evolving. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
