Data Engineer, Fintech

B2B2X financial technology platform providing AI-powered scoring, financial decisioning, disbursement & collection services across 30 countries.
Data
Hybrid
Finance · AI

Description For Data Engineer, Fintech

Optasia is an innovative B2B2X fintech platform operating across 30 countries, specializing in AI-powered financial services including scoring, decisioning, disbursement, and collection. The company is seeking a Data Engineer to join their growing Data Engineering team, where data plays a crucial role in their growth strategy. The position offers an opportunity to work with large-scale big data clusters and develop analytical pipelines using state-of-the-art technology.

The ideal candidate will be responsible for developing and maintaining data processing workflows, optimizing batch processing libraries, and creating real-time streaming solutions. They will work closely with various technical teams including Solution Architects, ML engineers, and Data Analysts.

The role requires strong technical expertise in data engineering, particularly with technologies like PySpark, Scala, or Python, and experience with Apache Spark and various database technologies. The company values continuous learning and offers opportunities to work with cutting-edge technologies in a multicultural environment.

Optasia offers an attractive benefits package including flexible remote working, competitive compensation, healthcare insurance, and various wellness perks. The company culture is built on five core values: Drive to Thrive, Customer-First Mindset, Bridge the Gap, Go-Getter Spirit, and collaborative teamwork.

This position presents an excellent opportunity for a data professional looking to make an impact in the fintech sector while working with advanced technologies and contributing to financial inclusion initiatives across multiple markets.

Last updated 4 days ago

Responsibilities For Data Engineer, Fintech

  • Work closely with Solution Architects, Data Architects, ML engineers and Data Analysts for design, delivery and support of data processing workflows
  • Develop, maintain and optimize core libraries for batch processing and ingestion of large volumes of data
  • Design and develop new libraries for real-time streaming of data from multiple sources
  • Design and develop end-to-end data processing pipelines

Requirements For Data Engineer, Fintech

Python
  • Bachelor's or Master's degree in Computer Science or Informatics
  • Working experience coding with PySpark, Scala or Python
  • Working experience with Apache Spark
  • Working experience with relational and NoSQL technologies
  • Experience developing batch and/or real time data processing pipelines

Benefits For Data Engineer, Fintech

Medical Insurance
  • Flexible remote working
  • Competitive remuneration package
  • Extra day off on birthday
  • Performance-based bonus scheme
  • Comprehensive private healthcare insurance
  • Tech gear provided
  • Multicultural working environment
  • Continuous training and access to online training platforms
  • CSR activities and festive events
  • On-site restaurant with varied meal options
  • Wellbeing activities including free on-site yoga classes and squash court

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