Data Engineer: Real-Time Pipelines & Data Products
Data Engineer: Real-Time Pipelines & Data Products

Data Engineer: Real-Time Pipelines & Data Products

Full-Time 28800 - 48000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Build and optimise data pipelines for diverse stakeholders.
  • Company: Leading data technology firm in the UK with a dynamic team.
  • Benefits: Competitive salary and opportunities for professional growth.
  • Why this job: Join a team that values data quality and governance while making an impact.
  • Qualifications: Bachelor's or Master's degree, experience in SQL and Python, strong collaboration skills.
  • Other info: Exciting role with global teamwork and innovative projects.

The predicted salary is between 28800 - 48000 £ per year.

A leading data technology firm in the United Kingdom is seeking a Data Engineer to join their dynamic team. In this role, you will build and optimize data pipelines for various stakeholders, ensuring data accessibility across the organization.

You will need:

  • A Bachelor's or Master's degree in a relevant field
  • Experience in SQL and Python
  • The ability to collaborate across global teams
  • A commitment to data quality and governance

This position offers a competitive salary.

Data Engineer: Real-Time Pipelines & Data Products employer: Confluent

As a leading data technology firm in the United Kingdom, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. With a strong commitment to professional development, we offer numerous growth opportunities and a competitive salary package, making us an excellent employer for those looking to make a meaningful impact in the field of data engineering.
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Contact Detail:

Confluent Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer: Real-Time Pipelines & Data Products

✨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 team culture and maybe even a referral!

✨Tip Number 2

Show off your skills! Prepare a mini-project or a portfolio showcasing your SQL and Python prowess. This will help us stand out during interviews and demonstrate our hands-on experience.

✨Tip Number 3

Practice makes perfect! Get together with friends or fellow job seekers to do mock interviews. This will help us refine our answers and boost our confidence before the real deal.

✨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: Real-Time Pipelines & Data Products

Data Pipeline Development
SQL
Python
Data Accessibility
Collaboration Skills
Data Quality Assurance
Data Governance
Bachelor's Degree
Master's Degree

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with SQL and Python, as well as any relevant projects you've worked on. We want to see how your skills align with the role of a Data Engineer, so don’t hold back!

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 team. We love seeing enthusiasm and a clear understanding of the role.

Showcase Collaboration Skills: Since this role involves working with global teams, make sure to mention any experiences where you’ve successfully collaborated with others. We value teamwork, so let us know how you can bring that to the table!

Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!

How to prepare for a job interview at Confluent

✨Know Your Data Pipelines

Make sure you understand the fundamentals of data pipelines and how they work. Be ready to discuss your previous experiences with building and optimising these pipelines, as well as any specific tools or technologies you've used.

✨Brush Up on SQL and Python

Since SQL and Python are key skills for this role, we recommend reviewing your knowledge in both languages. Prepare to answer technical questions or even solve problems on the spot to demonstrate your proficiency.

✨Show Your Collaborative Spirit

This role requires collaboration across global teams, so be prepared to share examples of how you've successfully worked with others in the past. Highlight your communication skills and how you handle different perspectives.

✨Emphasise Data Quality and Governance

Express your commitment to data quality and governance during the interview. Discuss any relevant experiences where you ensured data integrity and compliance, as this will show that you take these aspects seriously.

Data Engineer: Real-Time Pipelines & Data Products
Confluent

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