Data Engineer

Tech company innovating data analytics market since 2016, specializing in FinTech and criminal activity detection.
Singapore
Data
Mid-Level Software Engineer
Hybrid
1.5+ years of experience
Finance · Healthcare · Enterprise SaaS

Description For Data Engineer

Quantexa, established in 2016, is a pioneering tech company revolutionizing the data analytics market. Initially focused on FinTech and combating criminal activity, the company has expanded its innovative solutions across multiple sectors including banking, insurance, government, and healthcare. As a Data Engineer, you'll be integral to the Delivery team, focusing on contextualizing data and implementing Quantexa's cutting-edge technology.

The role involves building end-to-end data pipelines using award-winning software and configuring decision-making platforms to detect key insights. You'll work with high-volume data, helping clients solve complex business problems in fraud detection, financial crime, data management, risk assessment, and customer intelligence.

The company prides itself on its diverse workforce, comprising 47 nationalities speaking over 20 languages, with nearly half of colleagues from ethnic or religious minority backgrounds. The culture emphasizes collaboration, innovation, and continuous growth. Benefits include competitive compensation, comprehensive healthcare, work flexibility, and strong emphasis on personal development.

This position offers an exciting opportunity to work with modern technologies like Spark, Hadoop, and Elasticsearch, while deploying solutions across various cloud platforms including Google Cloud, Microsoft Azure, and Amazon. The ideal candidate will combine strong technical skills with excellent communication abilities, as you'll be interfacing directly with clients and translating complex technical concepts for non-technical audiences.

Join a company that's not just about technology, but about making the world a better place through data-driven solutions. The role offers significant growth potential and the chance to work on meaningful projects that have real-world impact.

Last updated 2 months ago

Responsibilities For Data Engineer

  • Writing defensive, fault tolerant and efficient code for production level data processing systems
  • Configuring and deploying Quantexa software using tools such as Spark, Hadoop, Scala, Elasticsearch
  • Being a trusted source of knowledge for clients and articulating technical concepts
  • Collaborating with solution architects and R&D engineers to champion solutions
  • Promoting knowledge sharing and ensuring best practice is followed

Requirements For Data Engineer

Scala
Java
Python
  • At least 18 months of industry experience in a data engineering role
  • Proficiency in Scala, Java, Python, or related programming languages
  • Experience in building and deploying production level data processing batch systems
  • Experience with modern development tooling (Git, Gradle, Nexus)
  • Strong technical communication ability
  • Knowledge of testing libraries and different test types

Benefits For Data Engineer

Medical Insurance
Mental Health Assistance
Education Budget
  • Competitive salary
  • Company bonus
  • Annual leave, plus national holidays + birthday off
  • Private Healthcare with Prudential
  • Life insurance and critical illness coverage
  • Well-being days
  • Volunteer Day off
  • Work from Home Equipment
  • Free Calm App Subscription
  • Continuous Training and Development with Udemy Business access
  • Work from Anywhere policy - up to 2 months working outside country
  • Employee Referral Program
  • Team Social Budget & Company-wide Socials

Interested in this job?

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