Senior Data Engineer

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 UK-centric Freebets.com. In the U.S., the company operates state-specific websites such as NewYorkBets.com, BetCarolina.com, and BetArizona.com, helping consumers discover and connect with legal gambling options.

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 Casino Affiliate of the Year at the 2024 EGR Operator Awards. Gambling.com Group embraces a majority remote-first hybrid work model, offering employees the flexibility to work remotely while being part of a global team. For some roles, in-office presence is required for operational reasons, ensuring seamless collaboration and effectiveness where needed.

With flagship offices in Dublin, Charlotte, and Malta, and satellite offices in Madison, Helsinki, Serbia, and Costa Rica, we operate on a "think local, act global" mindset. Gambling.com Group is on the lookout for innovative, solution-driven, and fast-paced thinkers to join our growing team.

At OpticOdds, we’re transforming how companies trade and manage risk in the sports betting industry. We provide real-time sports betting data and risk management solutions that help clients boost profitability while saving thousands of engineering hours. We’ve simplified real-time data and made it more accessible and actionable for sportsbooks, exchanges, and platforms.

Our product is strong. Our traction is real. Now, we’re looking to expand our small, fast-moving team to keep up with explosive growth. That’s where you come in.

As a Data Engineer, you will play a key role in maintaining the integrity and performance of OpticOdds’ 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 report to the Head of Engineering and 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 data.
• Monitoring: Proactively monitor live feeds to ensure accuracy, consistency, and minimal latency.
• API Engineering: Debug and optimize API interactions, ensuring integrations are seamless and performant.
• Client Integration: Provide technical guidance to operators during integration, ensuring our APIs are fully leveraged.
• Incident Response: Handle occasional after-hours issues with a focus on rapid resolution and root-cause prevention.
• Internal Collaboration: Represent recurring client challenges to engineering and product, helping prioritize fixes and enhancements.
• Tooling and Automation: Contribute to internal tooling and automation that reduce manual support and improve system reliability.

Requirements:

• 3+ 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.
• Hands-on experience with API debugging.
• Background in sports betting data highly preferred; candidates with adjacent experience in high-volume transactional data will be considered.
• Strong communication skills, with the ability to engage clients confidently while collaborating effectively across internal teams.
• Self-starter who thrives in dynamic, high-growth environments.
• Experience with Kafka or web scraping is a big plus