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Ensure high-quality standards for recommendation engines and search features by developing and executing test plans, automating data quality checks, and contributing to best practices within the BIAPP team.
ABOUT YOU SE & Co. KG
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ABOUT YOU SE & Co. KG
We are seeking a BI QA Engineer to join our BI-APP Team. In this role, you will ensure the quality and reliability of data pipelines and algorithms that power recommendations, product sorting, and search features. You'll work with Data Scientists, Analysts, and Engineers to develop test plans, design automated tests, and maintain monitoring systems. The ideal candidate has experience in testing frameworks, SQL, data analysis tools, and a strong understanding of data quality principles.
We are looking for a BI QA Engineer (m/f/d) to be part of our BI-APP Team. Our BI-APP Team uses data from across the company and transforms it into logics & scores, used to provide the best personalized user shopping experience.
As a BI QA Engineer (m/f/d) in this team, you will ensure that our recommendation engine, product sorting logic, and search in the shop satisfy high-quality standards. You’ll work closely with Data Scientists, Analysts, and Engineers to achieve this. Further, you’ll improve and establish translating business requirements into an automated testing suite.
What you will do
Ensure the quality and reliability of the data pipelines and algorithms powering AY's recommendations, sorting, and search features
Design, develop, and execute test plans and test cases for various Products, focusing on data accuracy, algorithm performance, and user experience impact
Develop and maintain automated data quality checks, tests and monitoring systems
Contribute to the evolving data quality standards and best practices within the BIAPP team
Design, monitor and maintain QA reports, KPIs & quality trends for our internal data systems
Participate in post-mortem analysis of production issues to identify root causes and define QA measures to prevent future failures
Who you are
Practical experience with testing frameworks (e.g., Jest, Mocha, pytest) and testing APIs, ideally within data science or recommendation system contexts
Experience designing testing strategies for dynamic products with variable data inputs.
Familiarity with CI/CD processes (e.g.Gitlab CI, Github Actions), ticketing systems (e.g., Jira), and monitoring tools (e.g. Datadog) is a plus
Strong analytical skills with proven experience using SQL and data analysis tools
Familiarity with data visualization tools and techniques
Proficiency in at least one modern object-oriented programming language, such as Python or JavaScript
Solid understanding of data warehousing concepts, ETL processes, and data quality principles
Fascinated by the data behind personalized shopping: You're driven to understand how data powers systems like search, recommendations, and product sorting in an e-commerce environment
Highly structured and detail-oriented work style
Strong problem-solving skills with an adaptable mindset for a fast-paced environment
Excellent communication skills, including fluent written and spoken English for clear collaboration
Ability to work independently and manage time effectively
Proactive and self-driven, with a passion for data quality and a strong desire for continuous learning and growth
Nice to have
You are familiar with CI/CD processes (e.g.Gitlab CI, Github Actions), ticketing systems (e.g., Jira), and monitoring tools (e.g. Datadog)
