At a Glance
- Tasks: Design and maintain scalable data pipelines and ETL processes.
- Company: Leading tech company in Cardiff with a focus on innovation.
- Benefits: Hybrid work policy, enhanced parental leave, and healthcare plans.
- Why this job: Join a collaborative team and create innovative data solutions.
- Qualifications: Strong SQL skills, experience with AWS, and proficiency in Python.
- Other info: Exciting opportunity for career growth in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology company in Cardiff is seeking a Mid-Senior level Data Engineer to design and maintain scalable data pipelines and ETL processes. The ideal candidate has strong proficiency in SQL, experience with cloud platforms like AWS, and proficiency in Python.
Benefits include:
- Hybrid work policy
- Enhanced parental leave
- Healthcare plans
This role provides an opportunity to work in a collaborative environment focused on innovative data solutions.
Data Engineer | Build Scalable Data Pipelines in Cardiff employer: Veriforce
Contact Detail:
Veriforce Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer | Build Scalable Data Pipelines in Cardiff
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the company culture and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your data pipelines and ETL processes. This is a great way to demonstrate your proficiency in SQL and Python.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by solving data engineering problems online. We can find plenty of resources that mimic real interview questions to help us ace it.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Data Engineer | Build Scalable Data Pipelines in Cardiff
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, cloud platforms like AWS, and Python. We want to see how your skills align with the role of a Data Engineer, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our innovative team. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've designed or maintained scalable data pipelines. We’re keen to see how you tackle challenges and come up with creative solutions in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible. Plus, we can’t wait to hear from you!
How to prepare for a job interview at Veriforce
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex queries and how you've used SQL in past projects. Practising common SQL problems can really help you stand out.
✨Show Off Your Cloud Experience
Since the role involves cloud platforms like AWS, be ready to talk about your experience with them. Share specific examples of how you've designed or maintained data pipelines in the cloud, and any challenges you faced along the way.
✨Demonstrate Your Python Proficiency
Python is key for this role, so come prepared to discuss your coding experience. You might even be asked to solve a coding problem on the spot, so practice writing clean, efficient code that showcases your skills.
✨Emphasise Collaboration and Innovation
This position values a collaborative environment, so highlight your teamwork experiences. Discuss how you've worked with others to develop innovative data solutions, and be ready to share examples of successful projects you've contributed to.