At a Glance
- Tasks: Oversee data ingestion, maintain a data warehouse, and create automated visualisation systems.
- Company: Leading data engineering firm in the UK with a collaborative culture.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join us to innovate and make an impact in the data engineering field.
- Qualifications: Proficiency in SQL, Python, R, and experience with AWS required.
- Other info: Dynamic environment with excellent career advancement opportunities.
The predicted salary is between 28800 - 48000 £ per year.
A leading data engineering firm in the UK is looking for a Data Engineer. In this role, you will oversee data ingestion and integration, maintain a data warehouse, and write scripts for analysis. Your responsibilities include creating an automated data visualization system, designing scalable data engineering solutions, and ensuring data security.
Proficiency in SQL, Python, R, and experience with cloud services like AWS are essential. Join us to contribute to innovative data solutions in a collaborative environment.
Data Engineer: Scalable Pipelines & Dashboards employer: DUOTECH PTE. LTD.
Contact Detail:
DUOTECH PTE. LTD. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Scalable Pipelines & Dashboards
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering field on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, and cloud services like AWS. This gives us a real taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Think about how you'd design scalable solutions or automate data visualisation systems. We love seeing your thought process!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate candidates who want to make an impact in data engineering.
We think you need these skills to ace Data Engineer: Scalable Pipelines & Dashboards
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and R. We want to see how your skills align with the role of a Data Engineer, so don’t be shy about showcasing relevant projects or achievements!
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 innovative solutions. Keep it concise but impactful – we love a good story!
Showcase Your Cloud Experience: Since experience with cloud services like AWS is essential, make sure to mention any relevant projects or certifications. We’re keen to know how you’ve used these tools to create scalable solutions in the past.
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 DUOTECH PTE. LTD.
✨Know Your Tech Stack
Make sure you brush up on your SQL, Python, and R skills before the interview. Be ready to discuss how you've used these languages in past projects, especially in relation to data ingestion and integration.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in data engineering. Think of examples where you designed scalable solutions or automated processes, and be ready to explain your thought process and the impact of your work.
✨Familiarise Yourself with Cloud Services
Since experience with AWS is essential, make sure you can discuss your familiarity with cloud services. Highlight any projects where you've implemented cloud solutions and how they improved data management or security.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategies, team dynamics, and future projects. This shows your genuine interest and helps you assess if it's the right fit for you.