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 role involves working with large-scale big data clusters and developing analytical pipelines using state-of-the-art technology. You'll be part of a team that manages end-to-end batch and streaming data pipelines, contributing directly to Optasia's success through data-driven insights and decision-making.

The ideal candidate should have strong programming skills in PySpark, Scala, or Python, experience with Apache Spark, and knowledge of both relational and NoSQL databases. Additional experience with the Apache Hadoop ecosystem and ML flow engines would be advantageous.

Optasia offers an attractive benefits package including flexible remote working, competitive compensation, healthcare insurance, and various wellness perks. The company culture emphasizes continuous learning, collaboration, and a customer-first mindset, making it an ideal environment for professionals who are passionate about data engineering and fintech innovation.

Working at Optasia means joining a multicultural environment where you can gain valuable insights into the future of financial technology while developing your career within a supportive team. The company values drive to thrive, customer-first mindset, knowledge sharing, results-oriented approach, and collaborative spirit.

Last updated a day 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
  • All necessary 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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