Senior Data Engineer

AI overview

Play a key role in maintaining and improving systems that power real-time sports data feeds and ensure efficient client integrations.

Gambling.com Group (Nasdaq: GAMB) is a multi-award winning provider of marketing and sports data services looking for exceptional talent interested in the fast-paced, high-growth online gambling industry. The company operates a portfolio of renowned websites and brands – including flagship site Gambling.com and sports betting site Bookies.com as well as iGaming-focused sites Casinos.com, BonusFinder.com and Freebets.com.

In addition to its marketing operations, Gambling.com Group provides sports data services through consumer subscription platforms like OddsJam and RotoWire, along with B2B services through OpticOdds. These offerings deliver real-time data, actionable insights, and technology driven tools to both consumers and enterprise partners.

As the first and only online gambling affiliate publicly traded in the U.S., Gambling.com Group has earned recognition as a leader in its field – most recently winning Affiliate of the Year at the 2025 EGR Operator Awards.

Are you ready to take the next step in your career?

As a Data Engineer, you will play a key role in maintaining the integrity and performance of our data platform. This role emphasizes engineering, building, monitoring, and improving the systems that power our real-time data feeds and APIs. At the same time, you will act as a technical bridge to clients, helping them integrate smoothly and ensuring their needs are represented internally.

The role is suited to someone who brings strong engineering fundamentals, is confident in debugging complex systems, and enjoys the challenge of working in real time with mission-critical data. You will collaborate with product and sales teams to ensure our platform remains the most reliable in the market.

Responsibilities:

  • Data Engineering: Build, maintain, and improve systems that process and deliver real-time sports betting and sport stats data.
  • Monitoring & Performances: Proactively monitor live feeds to ensure accuracy, consistency, and minimal latency.
  • SLA: Actively contribute to the SLA of our services and work in automations and systems to monitor and improve our SLA.
  • Internal Collaboration: Work in a distributed high skilled team processing various types of sports data.
  • Tooling and Automation: Contribute to internal tooling and automation that reduce manual support and improve system reliability.

Requirements:

  • 5+ years of engineering experience, with a focus on data pipelines or real-time systems.
  • Strong skills in Python with a proven ability to debug and optimize.
  • Background in sports betting data highly preferred; candidates with adjacent experience in high-volume transactional data will be considered.
  • Self-starter who thrives in dynamic, high-growth environments.
  • Show ability to own and grow entire systems.
  • Experience with event systems or web scraping is a big plus 

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

Perks & Benefits Extracted with AI

  • Flexible Work Hours: Flexible work environment and home office available
  • Health Insurance: Comprehensive private Healthcare Insurance
  • Home Office Stipend: Home office allowance
  • Learning Budget: Access to courses for Personal and Career Development
  • Other Benefit: Company Paid Volunteer Day
  • Wellness Stipend: Gym & Leisure Allowance
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