Data Quality Engineer - #1698008

Capital.com


Date: 1 week ago
City: London
Contract type: Full time
Work schedule: Full day
Capital.com

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.

Responsibilities:

  •  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

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)

Nice to have:

  • Background in QA, Data Engineering
  • Experience with scripting in SQL, Python or other languages for test
    automation will be plus
  • Familiarity with tools like Postman, browser debugging tools

What you will get in return:

  • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated.
  • Work-Life Harmony: Join a company that genuinely cares about you—because your life outside of work matters just as much as your time on the clock.
  • Annual Performance Bonus: Your hard work doesn’t go unnoticed! Celebrate your achievements with a well-deserved annual bonus tied to your performance.
  • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
  • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team.
  • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks!
  • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
  • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.


Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.

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