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- Aufgaben: Join our BI-APP Team to ensure top-notch quality for our recommendation engine and data pipelines.
- Arbeitgeber: Be part of a diverse company that values inclusion and empowers acceptance in the fashion industry.
- Mitarbeitervorteile: Enjoy flexible working hours, free drinks, sports courses, and exclusive employee discounts.
- Warum dieser Job: Dive into data-driven projects that enhance user shopping experiences while collaborating with talented professionals.
- Gewünschte Qualifikationen: Bring your testing experience, analytical skills, and passion for data quality to our innovative team.
- Andere Informationen: Work in a dog-friendly office with state-of-the-art technology and a strong feedback culture.
Das voraussichtliche Gehalt liegt zwischen 42000 - 84000 € pro Jahr.
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.
MySQL
Python
Google BigQuery
Gitlab
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
- 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
Sports courses
Free access to code.talks
Exclusive employee discounts
Free drinks
Language courses
Laracast account for free
Help in the relocation process
Mobility subsidy
State-of-the-art technology
Central Location
Flexible Working Hours
Company pension
Professional training
Dog-friendly office
Remote
Feedback Culture
Job Bikes
YOU ARE THE CORE OFABOUT YOU.
We take responsibility for creating an inclusive and exceptional environment where all genders, nationalities and ethnicities feel welcomed and accepted exactly as they are. We believe that a diverse workforce essentially contributes to theABOUT YOUculture. In order to maintain talent and diversity, we emphasize the care for physical health, mental health and overall well-being. Our values and work ethics essentially contribute to our brand mission: empower acceptance and shape an inclusive, fair and circular fashion culture.
We are looking forward to receiving your application – preferably via our online application portal! Thus, we can ensure a faster process and for you it is very easy to upload your application documents. 🙂
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BI QA Engineer(m/f/d) Arbeitgeber: About You - Collins GmbH & Co. KG
Kontaktperson:
About You - Collins GmbH & Co. KG HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: BI QA Engineer(m/f/d)
✨Tip Number 1
Familiarize yourself with the specific testing frameworks mentioned in the job description, like Jest, Mocha, and pytest. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your readiness to hit the ground running.
✨Tip Number 2
Engage with online communities or forums related to BI and data quality assurance. Networking with professionals in the field can provide you with insights into best practices and may even lead to referrals.
✨Tip Number 3
Brush up on your SQL skills and familiarize yourself with data visualization tools. Being able to analyze data effectively and present it visually will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your problem-solving approach during interviews. Think of examples where you've successfully identified root causes of issues and implemented QA measures, as this aligns perfectly with the responsibilities of the role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: BI QA Engineer(m/f/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the BI QA Engineer position. Understand the key responsibilities and required skills, such as experience with testing frameworks and data quality principles.
Tailor Your CV: Customize your CV to highlight relevant experience in testing frameworks, SQL, and data analysis tools. Emphasize any previous work related to data quality assurance or e-commerce environments.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for data quality and your understanding of how it impacts user experience. Mention specific examples from your past work that align with the responsibilities of the role.
Highlight Soft Skills: In your application, don't forget to mention your strong analytical skills, problem-solving abilities, and excellent communication skills. These are crucial for collaborating with Data Scientists and Engineers in the BI-APP Team.
Wie du dich auf ein Vorstellungsgespräch bei About You - Collins GmbH & Co. KG vorbereitest
✨Showcase Your Testing Experience
Be prepared to discuss your practical experience with testing frameworks like Jest, Mocha, or pytest. Highlight specific projects where you designed testing strategies for dynamic products, especially in data science or recommendation systems.
✨Demonstrate Analytical Skills
Since strong analytical skills are crucial for this role, come ready to share examples of how you've used SQL and data analysis tools to ensure data accuracy and algorithm performance. Consider discussing any relevant KPIs or quality trends you've monitored.
✨Familiarity with CI/CD Processes
Make sure to mention your familiarity with CI/CD processes, particularly Gitlab CI or Github Actions. Discuss how you've integrated these practices into your previous work to enhance the efficiency of testing and deployment.
✨Communicate Clearly and Effectively
Excellent communication skills are essential for collaboration with Data Scientists, Analysts, and Engineers. Practice articulating your thoughts clearly in English, and be ready to explain complex technical concepts in a way that is easy to understand.
