Senior Data Engineer - Asian Timezones

About the role

Hermeneutic Research is a proprietary trading firm that runs research-driven discretionary and systematic strategies and makes strategic long-term investments. It is looking for a Senior Data Engineer to design, implement and operate the full data infrastructure pipeline for its Research and Trading operations. The role builds a scalable, reliable and cost-efficient system for market trading data, real-time news feeds and other internal and external data sources, working closely with research and engineering teams.

Key responsibilities

• Design, build and optimize scalable pipelines for ingesting, transforming and integrating large volumes of market data, news feeds and unstructured data
• Ensure data quality, consistency and real-time monitoring using tools such as dbt and third-party validation libraries
• Normalize and organize the data warehouse so it can be used across departments
• Keep data storage scalable, available and efficient, with strong security, integrity and performance
• Work with research and analytics teams to build frameworks for data exploration, analysis and model development, including tools that combine data from multiple sources
• Optimize hardware and software use to keep costs down while maintaining high performance
• Continuously adopt the best technologies and data management practices

Required profile

• Strong problem-solving and analytical thinking, and clear communication across functions
• Experience building and maintaining complex ETL pipelines and data quality checks
• Proven experience with data warehouse platforms such as Snowflake, Redshift, BigQuery or Synapse
• Expert knowledge of Apache Spark, Kafka or Flink
• Preferred: a degree in CS, Engineering, Mathematics or a related field; cloud platform familiarity (AWS, GCP, Azure) with a certification; data quality frameworks, Git, Terraform, Docker/Kubernetes, data governance tools, observability tools, ML pipelines, and prior trading or financial services experience

Required skills

• Complex SQL and similar query languages, optimized for performance
• Python or Java/Scala
• Apache Airflow, dbt or custom scripts
• Dimensional modeling, star/snowflake schemas, normalization and denormalization

The interview process includes CV screening, an HR interview, technical interviews with stakeholder teams, a CTO interview and a co-founder discussion, with cultural fit assessed against the company's values.