Database Engineer

Position Title: Database Engineer

Summary:

As a Database Engineer, you will be responsible for designing, implementing, and maintaining scalable databases and ETL pipelines for large volumes of time-series and cross-sectional data. The ideal candidate combines strong database design skills with hands-on experience in python and modern data workflow tools.

Job Responsibilities:

The position holder shall be responsible for:

• Design, build and maintain relational databases (primarily PostgreSQL) to support high volume time-series and cross-sectional datasets
• Develop, monitor and optimize ETL pipelines, ensuring reliability, scalability and data integrity
• Implement automated workflows using Apache Airflow (or similar DAG orchestration tools
• Collaborate with traders, quants, and developers to translate business and research needs into robust data models and pipelines
• Proactively manage database performance, tuning and partitioning strategies
• Own the full lifecycle of data infrastructure – from ingestion and storage to transformation and access
• Develop and maintain analytics dashboards and automated reporting systems to provide actionable insights for traders, quants and management
• Automate recurring andaalytical workflows, ensuring accuracy, timeliness, scalability
• Establish best practices for data governance, security and documentation

Knowledge, Competency and Skills requirement:

• Strong understanding of database design, normalization, indexing and query optimization
• Proficiency in Python & SQL for ETL and data manipulation
• Experience with Apache Airflow or similar DAG-based orchestration frameworks
• Comfort working with large-scale, high-frequency time-series and cross-sectional data
• Strong skills in data analysis, statistical techniques, and visualization tools (e.g., Tableau, Power BI, Excel or Plotly)
• Experience in automating reports and delivering analytics in fast-paced trading or financial environments
• Passion for financial markets
• Strong analytical and problem-solving skills
• Ability to adapt to a dynamic work environment and show exceptional prowess at managing large impact situations
• Keen to learn, hungry for growth
• Flexibility to work independently and as a part of the team

Preferred Skills:

• Experience with streaming data frameworks
• Exposure to quantitative research workflows and financial reporting automation
• Familiarity with cloud-based data platforms
• Understanding of security principles and best practices in software development