We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.
We’re looking for a Data Quality Engineer to ensure the accuracy and reliability of our marketing integrations and tracking infrastructure.

REQUIREMENTS:

• Ability to dig into raw logs and SQL to trace data issues
• Experience with marketing APIs and event-based systems (Conversions APIs, postbacks, pixel tracking, etc.)
• Strong skills in testing, debugging, and QA automation (manual testing experience is a plus too)
• Hands-on experience with monitoring tools (e.g., Grafana, DataDog, custom dashboards) and setting up alerts
• Understanding of DevTools and mobile tracking, UTM parameters, cookies, redirects, and deep linking, offline conversions
• Ability to track down ads in different networks and validate the full user journey
• Proactive, detail-oriented mindset with a passion for ensuring product and data quality
• Ability to troubleshoot tracking issues in a timely manner
• Basic understanding of various ad platforms and how they work/attribution logic/parameters sent and received
• Business level proficiency in English or above (equivalent to B2 or above in CEFR)

• Own testing and validation of marketing integrations with platforms like Google Ads, Google Analytics 4, Firebase, GTM, Appsflyer, Bing, Facebook, Amazon Ads, Cellxpert, Impact and others
• Build and maintain monitoring and alerting systems to ensure integration and tracking reliability
• Understand and validate event generation logic and business logic behind conversions, leads, and user behavior
• Investigate and debug tracking issues – including redirects, attribution mismatches, and data discrepancies
• Test and verify implementation of deeplinks, deferred deep linking
• Proactively identify bugs on and edge cases in MarTech flows
• Collaborate closely with engineers, analysts, and marketing stakeholders to improve tracking coverage and accuracy