Senior Data Engineer (FinTech)

Posted 11 October 2019
SalarySGD 90000 to SGD 120000
Job type Permanent
DisciplineBanking & InsuranceVenture Capital & Private Equity

Job Description

  • Key role in a fundamental team within the company
  • Opportunity to work for a technology led company
  • Plenty of personal development opportunities

Our client, a Finance Broker/FinTech, is looking for a Data Engineer with real-time data experience to join the team in Singapore on a permanent basis.

Key Responsibilities

  • Build and maintain the core capabilities of the company's technical stake
  • Work on reporting & analytics, data infrastructure and other data services
  • Design and manage big data solutions fit for a fast growing data based company
  • Create precise ETL pipelines to handle data from a wide variety of sources
  • Being responsible for the performance of the data analytics infrastructure
  • Ensure accurate and timely delivery of data analytics insights for decision makers
  • Run analytical databases and computation engines like RedShift, HBase, Postgres, ElasticSearch and others

Key Requirements

  • 4+ years’ experience
  • Language/tech/systems knowledge: Python (mandatory), Java/Scala, AWS (or similar)
  • Data Warehouse Modelling and SQL
  • Experienced with ETL / ELT scripting and applications, preferably using PySpark
  • Hadoop ecosystems & Spark architecture
  • Previous work on data-intensive applications and pipelines
  • Ability to work with varied forms of logging/messaging systems (e.g. Kafka, Kinesis, RabbitMQ)
  • Event tracking systems (e.g. Segment) would be an advantage
  • Strong communication skills required


All interested candidates, please apply now, and we will get in touch for a confidential discussion.

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