Data Quality Engineer

3 weeks ago

united kingdom Gambling.com Group Full time

Gambling.com Group (Nasdaq: GAMB) is looking for talented individuals to join its diverse and growing team in Europe. Through a portfolio of brands -- including flagship website Gambling.com, as well as Bookmakers.com, Casinosource.co.uk and the new Casinos.com -- Gambling.com Group helps online gamblers start their consumer journey with confidence by delivering best-in-class content featuring expert analysis, independent reviews, news, tips, odds comparisons and more.


The Group over its 16-year history has positioned itself as one of Europe’s premier performance marketing companies and is one of the leaders in responsible player acquisition across the regulated, global online gambling industry. The Group has won nearly every award in the gambling affiliate industry for sports and casino, most recently winning SBC Casino Affiliate of the Year and EGR Sports Affiliate in 2022, and is a two-time winner of the prestigious EGR Affiliate of the Year award.


Europe remains a key market of focus for the Group as it continues its period of exciting growth in 2023. The Group has offices in Dublin, its EU headquarters, and Malta.


Responsibilities:

  • Develop and maintain data quality metrics and KPIs.
  • Collaborate with cross-functional teams to identify and resolve data quality issues.
  • Design and implement data quality controls and quality audit processes.
  • Validate data accuracy and completeness across core business systems.
  • Establish business rules and standards to ensure data consistency.
  • Investigate and respond to data inquiries and requests.
  • Continuously identify opportunities to enhance data accuracy and integrity.

Requirements:

  • Bachelor’s degree in computer science, Information Systems, related field, or relevant professional experience.
  • 3+ years of professional experience in data quality, data engineering or data analysis.
  • Strong analytical and problem-solving skills.
  • Proficiency in SQL and experience working with large datasets.
  • Experience with ETL (Extract, Transform and Load), ELT (Extract, Load, and Transform) tools and processes is preferred.
  • Knowledge of data warehousing concepts and technologies.
  • Knowledge of and direct experience with using Python.
  • Excellent organization and communication skills in English.
  • Ability to work in a fast-paced, dynamic environment.



Perks & Benefits:

  • Comprehensive private Healthcare Insurance
  • Flexible work environment and home office available
  • Home office allowance
  • Gym & Leisure Allowance
  • All the hardware and software you need to be successful
  • Regular company events and social outings, activities, Spot Awards and a Monthly Social Club
  • Access to courses for Personal and Career Development
  • Company Paid Volunteer Day

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