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
