Data Engineer

Core Tech Team | Singapore

About this role

We are on the lookout for a Junior to Mid-level Data Engineer who will play a key role in enhancing our data capabilities, focusing on innovative solutions for data management and analytics. As a burgeoning hedge fund startup with a clear vision and commitment to the Asian market, we are seeking for a Data Engineer. This role is not just about technical expertise but also about aligning with our forward-thinking vision and being at the forefront of shaping our data strategy.

Key Responsibilities 

• Lead the design, development, and management of our advanced data platforms, with a specific focus on applications in the hedge fund sector. 

• Ensure the highest standards of technical excellence and reliability in our data solutions. 

• Play a crucial role in integrating financial market data, enabling advanced analytics in the hedge fund domain.

Requirements & Qualifications

• Bachelor's degree or higher in Computer Science or a related field, or equivalent professional experience. 

• Deep understanding of public cloud environments (AWS, GCP, Azure) and their application in data engineering. 

• Minimum of 4 years’ experience in data engineering, with at least 3 years focused on financial services, preferably in the hedge fund industry. 

• Proven experience in leading data engineering projects, with direct or indirect team management responsibilities. 

• Expertise in building and optimizing data pipelines, particularly for financial data analytics. 

• Proficient in data pipeline tools like Apache Flink or Apache Spark, and workflow management with Airflow. 

• Advanced skills in SQL and experience with both relational and non-relational databases. 

• Familiarity with integrating BI tools (e.g., Tableau, Mode, Looker) and using REST and streaming protocols, particularly Kafka. 

• Strong skills in a JVM language (Java, Kotlin, Scala) are essential. 

• Experience managing data quality, privacy, and sovereignty in compliance with financial industry standards. 

• Solid understanding of agile methodologies, CI/CD, testing, and monitoring in a production environment. 

• Self-motivated, with a keen sense of ownership and a results-driven mindset. 

• Comfortable with complex datasets and enthusiastic about learning and growth in the financial domain. 

• Excellent communication skills and a customer-centric approach to product development. 

Nice-to-Haves

• Prior experience in hedge fund and trading environment 

• Knowledge of CQRS/Event Sourcing patterns. 

• Proficiency in AWS or GCP, Cassandra, Kafka, Kubernetes, Terraform.