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Gaming1

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Data engineer in iGaming

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Summary

Gaming1, an international casino, sports betting and poker operator, seeks a Data Engineer in Portugal to build pipelines and analytics-ready data models in SQL and PySpark, own data quality, and support Power BI reporting. Hybrid role with up to 50% remote work.

Описание:

With 30 years of history, today Gaming1 is one of the international leaders in both land-based and online games of chance (casino games, sports betting and poker). Its evolution at the heart of innovation is accompanied by a diversification and specialization of positions, with the creation of new cutting-edge jobs. Gaming1 is looking for a Data Engineer to help us build reliable, scalable data products that support decision-making across the company while offering you a transparent career ladder and support to grow into your next role.

Задачи:

Build data products: design and develop pipelines and models in SQL and PySpark, from ingestion to analytics-ready tables. Model data: create clear dimensional models that analysts and Power BI reports can use directly. Own quality: implement tests based on business rules, investigate failed loads and improve reliability. Improve what exists: tune jobs, evolve schemas and pipelines, reduce compute costs, and leave the codebase better than you found it. Share knowledge: document your work in the project’s Git repository so it is easy to understand, maintain and reuse.

Требования:

Strong SQL skills and the ability to write and optimise complex queries. Experience with PySpark (or Python) in a data-engineering context. Solid data-modelling knowledge, including Kimball-style star schemas. Around 3-6 years of hands-on data-engineering experience, with the autonomy to own work from source to reporting-ready data. A collaborative mindset, clear communication skills and comfort working in the gaming industry. Professional English.

Будет плюсом:

Power BI experience, including semantic modelling, reporting or governance; Experience working in a data-mesh or other decentralised data organisation; Airflow or a similar orchestration tool; Automated data-quality testing, such as Great Expectations, Soda or dbt tests

Условия:

  • a competitive salary and benefits package aligned with the local market
  • a hybrid working model
  • with the possibility to work remotely up to 50% of your working time
  • an international and collaborative environment where people come first

Skills

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See also

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