• A bachelor’s degree or higher in Computer Science, Information Systems, Finance, Mathematics, or a related field
• At least seven years of experience designing and implementing scalable ETL pipelines, including batch and streaming workflows
• Experience with streaming technologies such as Apache Kafka or Apache Flink
• Strong proficiency in SQL, database management systems, data warehousing, and data modelling for business intelligence, machine learning, and operational needs
• Strong understanding of data schemas, including star, snowflake, normalized, and denormalized designs
• Strong problem-solving, attention to detail, communication, and collaboration skills
• Experience working with globally distributed teams
• An understanding of AI and an interest in applying data engineering and AI in practical and creative ways
• Familiarity with Google Cloud Platform and modern data infrastructure tools, including Databricks and Airflow