Data Engineer

Personetics is shaping the Cognitive Banking era, harnessing AI to help banks anticipate customer needs, provide actionable insights, and deliver intelligent financial guidance. Our platform continuously analyzes and leverages real-time transactional data, enabling banks to proactively support customers in managing their finances and reaching their goals. As industry leaders — yes, we really are leaders — we partner with the world’s top financial institutions, empowering over 150 million customers monthly across 35 global markets from offices in New York, London, Singapore, São Paulo, and Tel Aviv.

Requirements: • 5+ years of hands-on experience in data engineering and in building data products for analytics and business intelligence. • Experience working on data developments using AI tools and agentic workflows. • Strong hands-on experience with ETL orchestration tools (Apache Airflow), and data lake houses (Databricks is an advantage) • Vast knowledge in both batch processing and streaming processing (e.g., Kafka, Spark Streaming). • Proficiency in Python, SQL, and cloud data engineering environments (AWS, Azure, or GCP). • Familiarity with data visualization tools (Power BI, Looker, or similar). • BSc in Computer Science or a related field from a leading university