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Senior Data Engineer

Longbridge Group · Singapore, Singapore

Financial Services · 201-500 employees

3 h ago
Senior (5-10 yrs) Full-time Singapore
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About the role

Design and build batch and real-time data warehouses to support global market growth and trading research. Develop efficient ETL pipelines and a unified data middleware layer to optimize data processing and service reusability.

What they look for

Hadoop Hive Kafka Spark Flink Trino SQL Python Java Scala Data Warehouse Modeling ETL AWS Docker Kubernetes Relational Databases

Requirements

Requires over 5 years of data engineering experience with proficiency in Hadoop ecosystems, SQL, and programming languages like Python or Java. A bachelor's degree in Computer Science or a related field is required, along with experience in cloud platforms and data modeling.

Full description

About Us Longbridge Securities, founded in March 2019 and headquartered in Singapore, is a next-generation online brokerage platform. Established by a team of seasoned finance professionals and technical experts from leading global firms, we are committed to advancing financial technology innovation. Our mission is to empower every investor by offering enhanced financial opportunities.

What You’ll Do As part of our global expansion, we're seeking a Data Engineer to design and build batch/real-time data warehouses and maintain data platforms that power trading and research for the global market. You'll work on data pipelines, APIs, storage systems, and quality monitoring to ensure reliable, scalable, and efficient data services.

Responsibilities

  • Design and build batch/real-time data warehouses to support global market growth
  • Develop efficient ETL pipelines to optimize data processing performance and ensure data quality/stability
  • Build a unified data middleware layer to reduce business data development costs and improve service reusability
  • Collaborate with business teams to identify core metrics and data requirements, delivering actionable data solutions
  • Discover data insights through collaboration with the business owner
  • Maintain and develop enterprise data platforms for the global market

Qualifications ​• 5+ years of data engineering experience with a proven track record in data platform/data warehouse projects

  • Proficient in Hadoop ecosystems (Hive, Kafka, Spark, Flink), Trino, SQL, and at least one programming language (Python/Java/Scala)
  • Solid understanding of data warehouse modeling (dimensional modeling, star/snowflake schemas) and ETL performance optimization
  • Familiarity with AWS/cloud platforms and experience with Docker, Kubernetes
  • Experience with open-source data platform development, familiar with at least one relational database (MySQL/PostgreSQL)
  • Strong cross-department collaboration skills to translate business requirements into technical solutions
  • Bachelor's degree or higher in Computer Science, Data Science, Statistics, or related fields
  • Comfortable working in a fast-moving fintech/tech startup environment

Preferred Skills

  • Proficiency in Mandarin and English at the business communication level for international team collaboration
  • Experience with DolphinScheduler and SeaTunnel is a plus