Senior Data Engineer - FinTech

Location: Singapore
Job Type: Permanent
Contact: Angie Wakefield
Email: email Angie
Posted: about 1 month ago

Join a growing FinTech company that is helping drive the latest initiatives within authentication and due diligence. Be part of a growth business and one of the early leaders in Data Engineering to help guide the team and drive it to new grounds.


  • Work with structured and unstructured data from various sources across multiple ecosystems
  • Be able to handle Big Data volumes and create systems to help ingest this volume of data
  • Extract data sets with industry schemas to large unstructured and aggregated data sets
  • Help design and architect ways to implement data pipelines on cloud native platforms that work at scale
  • Take ownership of your end-to-end pipeline and automation of data process
  • Design data models that help with transformation, analysis, reports and even data science modelling
  • Be able to work with a strong team across multiple functions, including software engineers and data scientists


  • Holding a Masters or PhD in Analytics, Computer Science or related fields
  • Having 5+ years of work in Big Data Engineering tools such as Spark, Hadoop, Hive, Flink etc.
  • Proficient in Python and modern relational and NoSQL databases
  • Experience with distributed systems and cloud architecture through the likes of AWS or Azure
  • Experience with streaming processes
  • Able to work on data modelling and ideally building predictive models for data science teams
  • Confident in R or MatLab analytical tools with statistical modelling packages for data manipulation
  • Experience with data science tools (e.g. Dataiku, Jupyter) is a great plus
  • Great if one has docker or linux shell experience

Reaching out

For a confidential discussion on this or any other opportunities available in the market please contact Angie Wakefield at - Direct Line: +65 6922 4573

EA License No: 16S8303 - EA Registration No: R1781517