About us
Streamhub is a total video analytics platform designed for the video industry, providing full funnel measurement from audience reach to outcomes across platforms. With a focus on modular solutions for media companies, agencies, and JICs, Streamhub is used for campaign planning and post-campaign evaluation, as well as editorial strategies and audience targeting. Backed by industry experts and pioneers, Streamhub aims to be the leader in video analytics for global media companies.
Our purpose is to understand how video impacts our everyday life and how this information can be used to deliver a better user experience for the media & advertising industry. How we get there is also important for us, and we want to continually evolve our product so it becomes the most user-friendly and actionable data platform for the video business.
Working at Streamhub will bring unparalleled access to cutting-edge challenges in the complex adtech / media industry, working within an international and rewarding entrepreneurial culture.
The Role
This role will give you a challenging opportunity to contribute to an innovative data product as a Data Quality Engineer of our core engineering team. You will be joining our highly-productive engineering team, thriving work culture through individual growth, well-being, strong ethics, and entrepreneurial approach.
As a Data Quality Engineer, you will be responsible for the quality of customer facing analytics platforms and the accuracy of the data. You will be part of the QA team of a dedicated Squad/team. Your day-to-day work would comprise - Identify, scope, and resolve data quality problems and determine the measures to enhance quality. Set quality standards, build test-cases, and build procedures to run or automate them along with the 'Data Quality' team across Squads.
Please apply only if you have the necessary experience in quality automation and data (of any size). It would be a waste of everybody's time.
Responsibilities & Required Skills
- Strong experience in writing clear, detailed, and comprehensive test scenarios and test cases, including good knowledge of test design techniques.
- Solid understanding of JavaScript (hands-on coding skills required).
- Strong expertise in API testing (tools/frameworks of your choice).
- Hands-on experience with web automation tools such as Cypress, Selenium, or Playwright.
- Good understanding of CI/CD pipelines and version control systems like Git.
- Experience in database testing / SQL, especially for data quality and validation use cases.
- Experience in processing and validating large volumes of data and testing data pipelines.
- Ability to develop or contribute to internal tools for data quality automation.
- Experience in creating dashboards for data quality measurements, KPIs, and reporting.
- Ability to collaborate closely with developers to explain bugs clearly and ensure quick resolution.
- Ability to work with product teams to understand requirements, clarify expectations, and suggest improvements.
Nice to have:
- Knowledge or hands-on experience with AI-assisted development tools like GitHub Copilot, Cursor, or similar.
- Experience with performance testing tools such as JMeter or Gatling.
- Knowledge of other programming languages like Java, Scala, or Python (good to have).
The Package
- Competitive salary
- Hybrid working with 2-3 days at the office as needed. Flexible timings.
- Entrepreneurial team culture. Work with an open, diverse, and autonomous team.
- Immense learning, exposure to niche data technologies, and handling TBs of data.
- Training / self-development
- 28 days holiday, including public holidays
- Health insurance and pension cover
If you've read all the way to the bottom of this description, thank you for your interest in Streamhub!
We are committed to equal employment opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.
