Data Engineer

Overview: - Sporty Group is a consumer internet and technology business with a global presence. - The company operates in the sports media, gaming, social, and fintech sectors. - Sporty is known for its high-quality sports betting website and millions of weekly active users. Key Responsibilities: - Design, develop, and maintain scalable data pipelines and architectures. - Ensure data quality, accuracy, and consistency. - Identify and implement process improvements for data delivery and infrastructure scalability. - Build new API integrations to support data volume and complexity. - Communicate with various stakeholders to understand business processes and system architecture. Requirements/Skills/Qualifications: - Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field. - 3+ years of experience in data engineering, data platforms, BI, or related domain. - Experience with large-scale production relational and NoSQL databases, data modelling, SQL, and scripting languages like Python. - Familiarity with Apache Airflow & Apache Spark, and AWS services. - Understanding of ML Models, containerisation, and orchestration technologies. - Relevant knowledge or experience in the gaming industry. Compensation & Benefits: - Quarterly bonuses. - Flexible working hours outside of core 10am-3pm local timezone. - Top-of-the-line equipment. - Referral bonuses. - 28 days paid annual leave. - Annual company retreat. - Highly talented, dependable co-workers in a global, multicultural organization. - Payment via DEEL, a world-class online wallet system. - Stability, security, and scalability of the company. - High performance with an emphasis on support and results. - Independently managed and financed, offering startup-like environment.