Data QA Engineer: ETL, Python & Cloud
Data QA Engineer: ETL, Python & Cloud

Data QA Engineer: ETL, Python & Cloud

Full-Time 36000 - 60000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and implement testing frameworks to ensure data quality in a dynamic environment.
  • Company: Modern consultancy in Greater London with a focus on innovation and collaboration.
  • Benefits: Flexible working arrangements and a supportive work culture for your wellbeing.
  • Why this job: Join a passionate team and make a real impact in data quality and cloud architecture.
  • Qualifications: Strong skills in Python testing automation, ETL testing, and knowledge of cloud principles.
  • Other info: Exciting opportunities for growth in a collaborative and innovative setting.

The predicted salary is between 36000 - 60000 Β£ per year.

A modern consultancy based in Greater London is seeking a passionate individual with strong skills in Python testing automation and ETL testing. You will design and implement robust testing frameworks and ensure data quality, collaborating with engineers in a continuous build environment.

The ideal candidate is knowledgeable in cloud architecture principles and has excellent skills in PyTest and SQL. This role promotes wellbeing through flexible working arrangements and a supportive work culture.

Data QA Engineer: ETL, Python & Cloud employer: The Dot Collective

Join a forward-thinking consultancy in Greater London that prioritises employee wellbeing and fosters a collaborative work culture. With flexible working arrangements and a strong focus on professional development, this role as a Data QA Engineer offers you the opportunity to grow your skills in Python, ETL testing, and cloud architecture while contributing to meaningful projects in a dynamic environment.
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Contact Detail:

The Dot Collective Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Data QA Engineer: ETL, Python & Cloud

✨Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your Python testing automation and ETL projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for those interviews! Brush up on your knowledge of cloud architecture principles and be ready to discuss how you've implemented testing frameworks in past roles. Confidence is key!

✨Tip Number 4

Don't forget to apply through our website! We love seeing passionate candidates who are eager to join our supportive work culture. Plus, it makes it easier for us to find your application!

We think you need these skills to ace Data QA Engineer: ETL, Python & Cloud

Python Testing Automation
ETL Testing
Testing Framework Design
Data Quality Assurance
Cloud Architecture Principles
PyTest
SQL
Collaboration Skills
Continuous Build Environment

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights your experience with Python testing automation and ETL testing. 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 passionate about data quality and how your background in cloud architecture principles makes you a great fit for us. Keep it engaging and personal!

Showcase Your Technical Skills: Don’t forget to mention your proficiency in PyTest and SQL. We love seeing candidates who can demonstrate their technical expertise, so include specific examples of how you've used these tools in past roles.

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’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!

How to prepare for a job interview at The Dot Collective

✨Know Your Python Inside Out

Make sure you brush up on your Python skills, especially around testing automation. Be prepared to discuss your experience with PyTest and how you've used it in previous projects. Practising coding challenges can also help you feel more confident.

✨Understand ETL Processes

Familiarise yourself with ETL (Extract, Transform, Load) processes and be ready to explain how you've tested data quality in these scenarios. Think of specific examples where you identified issues and how you resolved them.

✨Cloud Architecture Knowledge is Key

Since the role involves cloud architecture principles, make sure you understand the basics of cloud services and how they relate to data quality. Be prepared to discuss any relevant experience you have with cloud platforms.

✨Show Your Collaborative Spirit

This role emphasises collaboration with engineers in a continuous build environment. Be ready to share examples of how you've worked in teams, tackled challenges together, and contributed to a positive work culture.

Data QA Engineer: ETL, Python & Cloud
The Dot Collective
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