About: 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 build reliable, scalable data products that support decision-making across the company while offering a transparent career ladder and support to grow into your next role.
Responsibilities:
•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.
Requirements:
•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.
Nice to have:
•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.
Conditions:
•The opportunity to work on ambitious international projects within a solid and growing group.
•A collaborative and high-performing work environment.
•Leadership based on trust, autonomy, talent and shared values.
•Continuous learning and career development opportunities through training and internal mobility.
•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.
