Data Engineer (Python dev) with Casino experience Remote Europe Data Engineer / Python Developer – Online Casino Industry
Location: Western Europe (Remote)
About the Company: Our company, established in 1995, is a leading independent provider in the casino gaming industry, creating captivating games enjoyed by players worldwide. Known for our distinctive artistic approach and engaging gameplay, we provide game content across land-based, mobile, online, and social markets. With a broad portfolio available in over 150 countries across six continents, our company is expanding quickly to bring innovative gaming experiences to new markets.
Role Overview: We are seeking a skilled Data Engineer / Python Developer with experience in the online casino or iGaming industry. In this role, you will develop, optimize, and maintain data-driven applications and infrastructure, ensuring efficient data flow across platforms. You will work with various teams to support data analytics, reporting, and game performance tracking, contributing to the creation and enhancement of our data-driven gaming experiences.
Key Responsibilities:
Design, develop, and maintain robust data pipelines and ETL processes to support real-time and batch data processing.
Collaborate with game developers and data scientists to collect and process data to drive insights and improve gameplay experiences.
Build and optimize scalable data storage solutions, ensuring data quality, consistency, and security.
Develop Python applications to automate data workflows and improve efficiency.
Design and maintain dashboards and reports to provide actionable insights for stakeholders.
Monitor and troubleshoot data flows, addressing any inconsistencies or errors in a timely manner.
Required Skills and Experience:
5+ years of experience in Data Engineering and Python development.
Proven experience in the online casino or iGaming industry.
Strong knowledge of SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
Experience with ETL tools and data pipeline frameworks (e.g., Apache Airflow, Luigi).
Proficiency in data modeling, data warehousing, and data transformation.
Knowledge of cloud platforms such as AWS, GCP, or Azure.
Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
Excellent problem-solving and communication skills.
#J-18808-Ljbffr