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Junior Data Engineer - Remote

Posted Yesterday
Data Analysis
Full Time
Greece

Overview

Optasia is a fully-integrated B2B2X financial technology platform covering scoring, financial decisioning, disbursement & collection. We provide a versatile AI Platform powering financial inclusion, delivering responsible financing decision-making and driving a superior business model & strong customer experience with presence in 30 Countries anchored by 7 Regional Offices.

In Short

  • Join a dynamic Data Engineering team at Optasia.
  • Design and implement scalable batch and streaming data pipelines.
  • Collaborate with Data Architects, ML engineers, and Data Analysts.
  • Maintain core libraries for large data processing.
  • Experiment with novel data engineering design patterns.
  • Work in a multicultural environment.
  • Flexible remote working options available.
  • Competitive remuneration package offered.
  • Access to continuous training and online platforms.
  • Participate in CSR activities and events.

Requirements

  • Bachelor's or Master's degree in Computer Science or Informatics.
  • Knowledge of data modeling, mining, and warehousing techniques.
  • Proficiency in one or more programming languages (Java, Scala, Python).
  • Good knowledge of SQL.
  • Strong analytical skills and attention to detail.
  • Passion for learning new technologies.

Benefits

  • Extra day off on your birthday.
  • Performance-based bonus scheme.
  • Comprehensive private healthcare insurance.
  • Access to all necessary tech gear.
  • Wellbeing activities like free yoga classes.
Optasia logo

Optasia

Optasia is a comprehensive B2B2X financial technology platform that specializes in scoring, financial decision-making, disbursement, and collection. With a strong focus on financial inclusion, Optasia leverages a versatile AI platform to facilitate responsible financing decisions and enhance customer experiences. The company operates in 30 countries, supported by 7 regional offices, and is dedicated to automating data assurance and validation processes while ensuring the accuracy and reliability of financial data.

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