Gen

Data Quality Engineer

Prague, Czech Republic Remote Hybrid
GCP API SQL Python
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Description

Gen is a global company powering Digital Freedom through consumer brands including Norton, Avast, LifeLock, Avira, AVG, ReputationDefender, and CCleaner. Our combined heritage is rooted in providing safety for the first digital generations. We bring leading technology solutions in cybersecurity, privacy and identity protection to more than 500 million users in 150 countries so they can live their digital lives safely, privately, and confidently today and for generations to come. We're always looking for smart, fearless, and dedicated people. Together, we have collective passion and a big vision to power Digital Freedom by protecting consumers and giving them control of their digital lives.

When you’re a part of Gen, you are provided access to a range of resources and support to ensure you can do your best work and live your best life. This includes flexible working options with generous time off and competitive benefits & compensation packages.

Diversity is foundational to how we do business because we know the greatest ideas and results come from our unique perspectives and differences. We strive to create a safe, inclusive environment where you can bring your whole self to work. Team members are valued, respected, and celebrated for who they are in a meaningful and exciting atmosphere. Gen is an equal employment opportunity employer. Employment decisions are based on merit, experience, and business needs.

If this sounds like you—Gen has a dynamic, supportive culture with core values that celebrate diversity, promote teamwork, and encourage every team member to contribute and grow—join us!

About The Role:

You will contribute as a key member of our team in the testing of data quality that supports data products used by the whole company. These data products are primarily developed in GCP BigQuery and Looker, but also in PowerBI, Tableau, BusinessObjects, and other BI tools.

What You Will Do in This Role:

  • Collaborate with cross-functional teams to ensure quality and timely delivery of products. 

  • Develop and execute automated and manual test cases for data products to ensure the reliability of exposed data. 

  • End-to-end integration testing between multiple independent systems and interfaces (GCS buckets, APIs (ETL), etc. 

  • Utilise GCP Data Quality services and apply the DQ framework to all layers of medallion architecture respected within GCP BigQuery

  • Conduct functional, integration, and regression testing of data storage systems using industry-standard technologies (SQL, Python, etc.) 

  • Create and maintain documentation of test plans, test cases, and testing results. 

What You’ll Need to be Successful in this Role:

  • Engage with product owners and development leads to create testing strategies 

  • Identify areas of improvement in data quality processes and propose solutions to enhance data accuracy and reliability. 

  • Collaborate with data engineering and development teams to implement data quality best practices and optimize data workflows. 

  • Document data quality issues, testing procedures, and resolutions for future reference and knowledge sharing. 

  • Experience with data processing concepts like mapping documents and complex data relationships. 

  • Experience with requirement analysis, defect tracking, coordinating with team members in different locations, and test reporting and sign-off. 

  • Strong analytical and technical skills to address sophisticated issues. 

  • Ability to perform root cause analysis on defects. 

  • Assist in developing and maintaining data governance policies and standards. 

  • Design, monitor and maintain QA reports, KPIs & quality trends for the internal data products

What We Can Offer:

  • Annual bonus scheme

  • Unlimited PTO (paid time off), flexible working hours & home office.

  • The chance to join a major global tech company listed on the S&P 500.

  • Opportunity to learn and work with the best in the Digital Security industry

  • Cafeteria points are provided by Benefit Plus (meal plan, pension insurance, travel, free time activities, multisport card, and much more).

  • Tuition reimbursement for job-related courses

  • Learning & Development plan.

  • Sustainable home improvement bonus

  • Mac/Windows laptop and more

Gen is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive and accessible environment for all employees. All employment decisions are based on merit, experience, and business needs, without regard to race, color, national origin, age, religion, sex, pregnancy (including childbirth or related medical conditions), genetic information, disability (physical or mental), medical condition, marital status, sexual orientation, gender identity or gender expression, military or veteran status, or any other consideration made unlawful by federal, state, or local law. Gen strictly prohibits unlawful discrimination based on such protected characteristics and seeks to recruit the most talented candidates from diverse cultures and backgrounds. 

 

We also consider employment-qualified individuals with arrest and conviction records. In addition, we will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Learn more about pay transparency. 

 

Gen complies with all anti-discrimination laws. 

 

To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government. 

Gen
Gen
Cyber Security Digital Media Information Technology

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