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- Tasks: Design and build scalable data pipelines for a data-driven organisation.
- Company: A growing UK-based company focused on data solutions.
- Benefits: Remote work flexibility, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the data engineering field.
- Qualifications: 3-5 years of Data Engineering experience with strong SQL and Python skills.
- Other info: Work remotely with occasional office days in London, Leeds, or Preston.
The predicted salary is between 45000 - 55000 £ per year.
A growing data-driven organization in the UK is seeking a mid-level Data Engineer to design and build scalable data pipelines. You will work closely with product managers and engineers to deliver data solutions and contribute to the full product lifecycle.
Ideal candidates have:
- 3-5 years of experience in Data Engineering
- Strong SQL and Python skills
- Familiarity with modern data concepts like Data Mesh and CI/CD practices
This role allows for remote work with occasional office days in London, Leeds, or Preston.
Data Engineer: Scalable Pipelines on GCP (Remote) employer: VIQU IT
Contact Detail:
VIQU IT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Scalable Pipelines on GCP (Remote)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with GCP. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This is your chance to demonstrate your SQL and Python prowess, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on modern data concepts like Data Mesh and CI/CD practices. We want you to feel confident discussing these topics, as they’re key to the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer: Scalable Pipelines on GCP (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Engineering, especially with SQL and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background fits into our data-driven culture. Let us know what makes you tick and why you’d be a great addition to our team.
Showcase Your Knowledge of Modern Data Concepts: Since we’re looking for someone familiar with Data Mesh and CI/CD practices, make sure to mention any relevant experience or projects. We love seeing candidates who are up-to-date with the latest trends in data engineering!
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. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at VIQU IT
✨Know Your Data Engineering Basics
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these languages in past projects, especially in building scalable data pipelines. Having concrete examples will show that you know your stuff!
✨Familiarise Yourself with Modern Concepts
Since the role mentions Data Mesh and CI/CD practices, it’s crucial to understand these concepts. Prepare to explain how you’ve applied them in your previous work or how you would approach them in this new role. This shows you're not just a coder but a strategic thinker.
✨Collaborate and Communicate
As you'll be working closely with product managers and engineers, highlight your teamwork skills. Think of examples where you successfully collaborated on projects. This will demonstrate that you can effectively communicate and contribute to the full product lifecycle.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data strategy or the tools they use. This not only shows your interest in the role but also gives you a chance to assess if the company is the right fit for you. Remember, interviews are a two-way street!