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.
- Other info: Opportunity to grow in a collaborative and innovative setting.
- Why this job: Join a passionate team and make an impact in data quality and cloud architecture.
- Qualifications: Strong skills in Python testing automation, ETL testing, and knowledge of cloud principles.
The predicted salary is between 36000 - 60000 £ 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 in London 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.
StudySmarter Expert Advice🤫
We think this is how you could land Data QA Engineer: ETL, Python & Cloud in London
✨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 robust testing frameworks in the past. 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 in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python testing automation and ETL testing in your application. We want to see how you’ve designed and implemented testing frameworks, so don’t hold back!
Be Specific About Your Experience:When discussing your past roles, be specific about the tools and technologies you've used, especially PyTest and SQL. We love details that show us you know your stuff and can hit the ground running.
Emphasise Collaboration:Since this role involves working closely with engineers, mention any experiences where you collaborated in a team setting. We value teamwork and want to know how you contribute to a continuous build environment.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
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 ensured data integrity and how you approached any challenges.
✨Cloud 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 QA. Be prepared to discuss any relevant experience you have with cloud platforms and how they impact testing strategies.
✨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 problems together, and contributed to a positive work culture. Highlight your adaptability and communication skills.
