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For Companies At a Glance
- Tasks: As a QA Engineer, you'll ensure our software products are top-notch and reliable.
- Company: Join Snowplow, a leader in customer data infrastructure powering AI-driven insights for major brands.
- Benefits: Enjoy flexible working, generous holidays, mental health support, and a MacBook allowance.
- Why this job: Be part of a creative team shaping the future of data-driven organizations with impactful technology.
- Qualifications: Bachelor's in Computer Science or related field; experience in QA and automated testing tools required.
- Other info: Opportunity to volunteer for a cause you care about and work remotely from anywhere in Europe.
The predicted salary is between 36000 - 60000 £ per year.
QA Engineer
London – Hybrid / Europe – Remote
About Snowplow
Snowplow, the global leader in customer data infrastructure (CDI) for AI, enables every organization to own and unlock the value of its customer behavioral data.
The Snowplow CDI fuels AI-driven marketing, digital products and services, customer experiences and fraud detection, by enabling companies like Burberry, Strava, and AutoTrader to collect and manage real-time, structured and unstructured behavioral data governed in their cloud data platform.
With thousands of companies relying on Snowplow worldwide to generate AI-ready data to uncover deeper customer journey insights, predict customer behaviors, optimize differentiated customer experiences, and detect fraud; we are at the forefront of transforming how data-driven organizations leverage their customer behavioral data.
Following our $40 million Series B funding led by global venture capital firm NEA, known for investments in Databricks, MongoDB, and Elastic, we are seeking creative and innovative individuals to help us shape the future of Snowplow.
The Opportunity
As a QA Engineer at Snowplow Analytics, you will play a crucial role in ensuring the quality and reliability of our software products. You will work closely with our development and product teams to design, develop, and execute test plans and test cases. Your efforts will help us maintain the highest standards of quality and performance in our products.
What you’ll be doing:
- Develop and execute comprehensive test plans and test cases for Snowplow Analytics products
- Identify, document, and track defects and issues using bug tracking tools
- Work closely with developers to understand product requirements and provide timely feedback on quality issues
- Perform functional, regression, integration, and performance testing
- Automate test cases and contribute to the continuous improvement of our automated testing frameworks
- Participate in code reviews and provide feedback to ensure testability and quality
- Collaborate with cross-functional teams to ensure smooth product releases
- Monitor and analyze test results, and provide detailed reports on test coverage, defects, and overall product quality
We’d love to hear from you if you have:
- A Bachelor’s degree in Computer Science, Engineering, or a related field
- Proven experience as a QA Engineer or similar role
- Strong knowledge of software QA methodologies, tools, and processes
- Experience with automated testing tools and frameworks (e.g., Selenium, JUnit, TestNG)
- Proficiency in at least one programming language (e.g., Java, Python, JavaScript)
- Experience with continuous integration and continuous deployment (CI/CD) practices (e.g. GitHub Actions)
- Familiarity with cloud-based services and environments (e.g., AWS, GCP, Azure)
- Excellent problem-solving skills and attention to detail
- Strong communication and collaboration skills
- The ability to work independently and as part of a team
You may also have:
- Experience with data analytics platforms and tools
- Knowledge of Snowplow Analytics products and services
- An understanding of event-driven architectures and data processing pipelines
- Experience with performance testing and load testing tools (e.g., JMeter, Gatling)
- Experience with Terraform for infrastructure as code
- Familiarity in Go (Golang) programming language
What we offer you in return:
- A competitive package, including share options
- Flexible working
- A generous holiday allowance no matter where you are in the world
- Mental health support
- MacBook and home office equipment allowance
- 1 week of volunteering a year for a cause you feel passionate about
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QA Engineer employer: Snowplow Analytics
Contact Detail:
Snowplow Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land QA Engineer
✨Tip Number 1
Familiarize yourself with Snowplow's products and services. Understanding their customer data infrastructure will not only help you in interviews but also show your genuine interest in the company.
✨Tip Number 2
Brush up on your knowledge of automated testing tools like Selenium or JUnit. Being able to discuss your experience with these tools confidently can set you apart from other candidates.
✨Tip Number 3
Highlight any experience you have with CI/CD practices, especially using GitHub Actions. This is a key aspect of the role, and demonstrating your familiarity can make a strong impression.
✨Tip Number 4
Prepare to discuss your problem-solving skills and how you've tackled quality issues in past projects. Real-world examples can showcase your ability to contribute effectively to the team.
We think you need these skills to ace QA Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the QA Engineer position at Snowplow. Understand the key responsibilities and required skills, as this will help you tailor your application.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with software QA methodologies, automated testing tools, and any relevant programming languages. Use specific examples to demonstrate your expertise.
Showcase Problem-Solving Skills: Provide examples in your application that showcase your problem-solving abilities and attention to detail. Mention any challenges you've faced in previous roles and how you overcame them.
Tailor Your Application: Customize your CV and cover letter to reflect the values and mission of Snowplow. Mention your interest in customer data infrastructure and how your skills align with their goals.
How to prepare for a job interview at Snowplow Analytics
✨Understand the Product
Before your interview, take some time to familiarize yourself with Snowplow's products and services. Understanding how they enable organizations to leverage customer behavioral data will help you articulate your thoughts and show your genuine interest in the company.
✨Showcase Your QA Skills
Be prepared to discuss your experience with QA methodologies, tools, and processes. Highlight specific examples of how you've developed and executed test plans, identified defects, and collaborated with developers to improve product quality.
✨Demonstrate Automation Knowledge
Since automation is a key part of the role, be ready to talk about your experience with automated testing tools like Selenium or JUnit. Share any projects where you've contributed to automated testing frameworks and how it improved efficiency.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the development process, and how QA fits into the overall product lifecycle at Snowplow. This shows that you're not only interested in the position but also in how you can contribute to the team's success.
