Data Engineer

Licensed financial company specializing in global payments and multi-currency accounts, providing businesses with payment innovation and banking services.
Data
Mid-Level Software Engineer
Hybrid
3+ years of experience
Finance

Description For Data Engineer

payabl. is a licensed financial company revolutionizing business growth through innovative payment solutions and banking services. As a Data Engineer, you'll join their Data Team to play a crucial role in collecting, analyzing, and interpreting data across the organization. The position offers a unique opportunity to work with cutting-edge technologies in a global fintech environment.

The role involves designing and implementing scalable data pipelines, integrating various data sources, and developing sophisticated data models. You'll be responsible for ensuring data quality, implementing governance policies, and optimizing system performance. The ideal candidate should have strong experience with modern data engineering tools and technologies, including Python, Java/Scala, and various database systems.

Working at payabl. offers numerous advantages, including competitive compensation, clear career progression in a flat hierarchy, and an international working environment. The company values collaboration and community, organizing regular team events to foster strong relationships among team members.

The hiring process is thorough and transparent, consisting of four stages: an initial interview with Talent Acquisition, a technical interview with the Data Engineering team, a take-home technical assignment, and a final behavioral interview with the CTO and Head of Talent Acquisition.

This is an excellent opportunity for a data professional looking to make an impact in the fintech industry while working with a diverse, global team. The role offers flexibility with hybrid working arrangements and the chance to contribute to innovative payment solutions that are reshaping the financial services landscape.

Last updated 2 days ago

Responsibilities For Data Engineer

  • Design and implement scalable data pipelines and infrastructure
  • Integrate data from various internal and external sources
  • Develop and maintain data models for analytics and reporting
  • Implement data quality and governance processes
  • Monitor and optimize data pipelines and systems
  • Collaborate with cross-functional teams
  • Document data infrastructure, processes, and workflows

Requirements For Data Engineer

Python
Java
Kafka
MongoDB
MySQL
PostgreSQL
  • Experience in data engineering with strong understanding of data structures and algorithms
  • Experience with real-time ingestion (Debezium, NiFi)
  • Proficiency in Python and Java/Scala
  • Knowledge of Unix OS/Shell scripting
  • Experience with ETL/ELT pipeline design and orchestration
  • Experience with SQL, relational and non-relational databases
  • Experience with big data technologies and frameworks
  • Experience with data warehouse platforms
  • Familiarity with cloud platforms and IaC
  • Experience with containerization and orchestration technologies
  • Experience with data visualization tools
  • Experience with finance data

Benefits For Data Engineer

  • Competitive salary and bonus potential
  • Career growth opportunities in flat-hierarchy setting
  • International work environment
  • Regular team events
  • Remote work options

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