Data Engineer - DWH

Mobile banking institution specializing in credit for emerging markets, operating in Nigeria with offices across France, Nigeria, Germany, Latvia, UK, Turkey, and India.
Data
Mid-Level Software Engineer
Remote
2+ years of experience
Finance

Description For Data Engineer - DWH

FairMoney is a pioneering mobile banking institution that has revolutionized credit access in emerging markets since 2017. With nearly €50 million in funding from prestigious investors like Tiger Global, DST, and Flourish Ventures, the company has established a strong international presence across multiple countries. Initially launched as a digital microcredit application, FairMoney has evolved to offer comprehensive financial services including current accounts, savings accounts, debit cards, and POS solutions.

As a Data Engineer at FairMoney, you'll play a crucial role in building and maintaining the data infrastructure that powers their financial services. You'll work with cutting-edge technologies including Snowflake, dbt, Airflow, and various visualization tools to create robust data solutions. The position requires expertise in SQL, Python, and data warehousing best practices, with opportunities to work on large-scale data challenges in a fast-growing fintech environment.

The role offers a unique opportunity to impact financial inclusion in emerging markets while working with a diverse, international team. You'll be responsible for designing and implementing data solutions that directly contribute to FairMoney's mission of becoming the leading mobile banking platform in emerging markets. The position combines technical expertise with business acumen, requiring close collaboration with various stakeholders to drive data-driven decision-making across the organization.

This is an ideal opportunity for a mid-level data engineer who wants to make a meaningful impact while working with modern data stack technologies in a remote-friendly environment. The role offers competitive benefits, including training and development opportunities, family leave, and paid time off, making it an attractive position for those seeking both professional growth and work-life balance.

Last updated a month ago

Responsibilities For Data Engineer - DWH

  • Work closely with Data Analysts/Scientists to translate requirements into database, ETL, or reporting solutions
  • Design, build, and maintain ingestion and integration of multiple data sources
  • Convert heterogeneous data sources to simplified Data Models following Data Warehousing Best Practices
  • Build data orchestration pipelines over Airflow for automation and scheduling
  • Implement tools and processes for ensuring data quality
  • Identify issues in data flow and improvements in data stack
  • Implement new technologies in production environment
  • Enable self-serve analytics for business stakeholders

Requirements For Data Engineer - DWH

Python
Kubernetes
  • Highest proficiency in SQL and ability to build optimized queries on large datasets
  • 2-5 years of experience in ETL, databases & OLAP Schema development
  • Proficient with transactional Python and analytical Python
  • Proficiency in data principles, system architecture, and dimensional data modeling
  • Basic knowledge of Tableau/Power BI dashboard building
  • Experience with Bash, Docker, Kubernetes and Cloud Platforms
  • Ability to build relationships with business stakeholders
  • Quick learner for new software and technologies

Benefits For Data Engineer - DWH

Parental Leave
  • Training & Development
  • Family Leave (Maternity, Paternity)
  • Paid Time Off (Vacation, Sick & Public Holidays)

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