Job Description

At Gaming Innovation Group (GiG), we pride ourselves on being one of the leading iGaming platform.

We are currently seeking a talented DevOps Data Engineer to join our dynamic team. The right candidate will thrive in an industrious and innovative environment, where collaboration is key to success. As a GiGster, you will be part of a group of like-minded individuals dedicated to continuous learning and supporting each other's growth. With offices located in Denmark, Malta, Riga, and Spain, we embrace a hybrid work approach, allowing our employees to find the balance that works best for them. By joining us, you will take part in shaping the future of our industry while being supported in your professional and personal development. If you are passionate about working with cutting-edge technology in the gambling and casino industry, we encourage you to apply for this exciting opportunity.

Responsibilities

• Design, implement, and maintain scalable data pipelines and ETL processes.
• Collaborate with data scientists and analysts to understand data requirements and provide appropriate solutions.
• Automate the deployment and monitoring of data systems and infrastructure using DevOps best practices.
• Ensure the reliability, availability, and performance of data services in production environments.
• Develop and manage cloud-based data storage solutions on platforms like AWS or Azure.
• Implement security measures to protect sensitive data in compliance with regulations.
• Continuously optimize data flows and systems for efficiency and performance.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Strong proficiency in programming languages such as Python, Java, or Go.
• Experience with data warehousing solutions and data modeling concepts.
• Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes.
• Solid understanding of CI/CD pipelines and configuration management tools.
• Knowledge of cloud platforms and services, particularly within the context of data engineering.

Benefits

• Great career development opportunities
• Hybrid working model
• International Health Insurance
• Health and Wellbeing Package (350 EUR per year)
• Birthday Day Off
• Me Time - 1 day off per year
• Lunches in the office for free