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Open nowPosted 101 days ago

Senior Data Engineer

Longbridge Group53 open roles

Where
Singapore - Asia Square 2 (L6), Singapore
Work mode
On site
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Your applicationOpen nowSenior Data EngineerLongbridge Group · Singapore - Asia Square 2 (L6), Singapore

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Longbridge Group's own form.

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. Longbridge Group postings stay open a median of 1 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 101 days ago

Longbridge Group median: 1 days open

The posting

Job 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

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

Qualifications ​

  1. 5+ years of data engineering experience with a proven track record in data platform/data warehouse projects
  2. Proficient in Hadoop ecosystems (Hive, Kafka, Spark, Flink), Trino, SQL, and at least one programming language (Python/Java/Scala)
  3. Solid understanding of data warehouse modeling (dimensional modeling, star/snowflake schemas) and ETL performance optimization
  4. Familiarity with AWS/cloud platforms and experience with Docker, Kubernetes
  5. Experience with open-source data platform development, familiar with at least one relational database (MySQL/PostgreSQL)
  6. Strong cross-department collaboration skills to translate business requirements into technical solutions
  7. Bachelor's degree or higher in Computer Science, Data Science, Statistics, or related fields
  8. Comfortable working in a fast-moving fintech/tech startup environment

Preferred Skills

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