Senior Data Engineer (C++, Python, AI/LLM)

Top 3 reasons to join us

• Join a young and dynamic team with awesome project
• Work with global experts to expand your skills.
• Open, honest culture to unlock your potential.

Job description

• Enrich a wide range of structured and unstructured data into high-quality datasets for quantitative analysis and financial engineering.
• Enhance data quality and integrity by developing validation tools and frameworks to measure the effectiveness of data enrichment pipelines.
• Develop a deep understanding of machine learning, deep learning, and emerging AI/LLM applications, and analyze the underlying dynamics and behaviors within the data.
• Generate insights from large-scale datasets and collaborate with research teams to identify opportunities for tradable signals.
• Design and develop utility tools to automate software development, testing, deployment, and monitoring workflows.
• Provide technical support for global researchers, including diagnosing root causes of technical issues, troubleshooting Python and C++ code, and proposing scalable fixes and improvements.
• Investigate, debug, and resolve issues in C++ applications and data pipelines, with a strong focus on performance, stability, correctness, and maintainability.
• Explore and apply AI/LLM-based solutions to improve data processing, workflow efficiency, troubleshooting, documentation, and research support processes.

Your skills and experience

• Minimum 4+ years of hands-on experience in software engineering, data engineering, machine learning, AI, or related technical domains.
• Practical experience with, and theoretical understanding of, deep neural networks, machine learning techniques, and modern AI approaches.
• Demonstrated ability to implement data science pipelines and real-time applications in Python and C++.
• Strong experience in debugging, troubleshooting, and improving C++ code, including performance analysis, root cause investigation, and code maintainability.
• Familiarity with AI/LLM tools and applications, including using large language models to support analysis, automation, technical troubleshooting, or workflow optimization.
• Proficiency with Python-based tools such as Jupyter Notebook and coding standards such as PEP 8.
• Proficiency with C++ tools and concepts such as STL, object-oriented programming, and debugging best practices.
• Strong academic background, with a minimum of a bachelor’s degree in a technical or quantitative field.
• Exceptional analytical and problem-solving abilities, with strong attention to detail.
• Strong software development skills, with the ability to convert broad use cases into reliable working solutions.
• Motivated by curiosity, continuous learning, and solving complex technical problems.

• Experience as a data scientist or data engineer in finance or investment-related environments.
• Experience with Linux/Unix shell, Git, and software debugging tools.
• Practical experience with time-series forecasting and analysis methods.
• Experience applying AI/LLM technologies in engineering, analytics, data enrichment, support automation, or developer productivity use cases.
• Experience optimizing or troubleshooting C++-based systems in production or research environments.

Why you'll love working here

Why You'll Love Working Here

• Engage with a youthful, dynamic team working on awesome projects applying cutting-edge technologies.
• Gain global exposure by working alongside international specialists, providing a fantastic opportunity to expand your skill set.
• A transparent, honest, and respectful culture that empowers individuals to reach their full potential.

• 13th-month salary and highly attractive performance-based bonuses.
• Premium accident and healthcare insurance plans, plus comprehensive annual health check-ups.

• Allowances for lunch, free parking, and life events (marriage, newborn baby, bereavement, etc.).
• A spacious, fully equipped pantry (microwave, fridge, coffee maker, etc.) for your most comfortable lunch breaks.

• Diverse sports clubs and social activities (Badminton, Football, Yoga, Tech clubs).
• Annual company teambuilding trips.
• Engaging monthly internal events: Happy Gatherings, Mini Games, Team Birthdays, Year-End Party, etc.
• Quarterly and yearly awards recognizing outstanding individuals, teams, and long-term dedication.
• Advanced English and soft skill training programs to assist your career development.