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Evotym

Data Engineer

Evotym Rīga, Latvia · €72K/yr

Business Consulting and Services · 2-10 employees

6 h ago
data-engineer Mid (2-5 yrs) Full-time Latvia
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About the role

The Data Engineer will develop, optimize, and maintain ETL pipelines and data ingestion processes while managing data lakes. They will also design database infrastructure and collaborate with other departments to ensure data quality and relevance.

What they look for

Python SQL Git Database design Data engineering ETL pipelines Data ingestion Data lakes Apache Airflow Docker Analytical skills Problem-solving Communication Collaboration

Requirements

Candidates must have strong proficiency in Python and SQL, along with experience in database design and Git. Familiarity with data engineering best practices and experience with tools like Apache Airflow or Docker is considered a plus.

Benefits

Competitive salary Social benefits

Full description

About the Client

Our client is an international Electronic Money Institution specializing in online payment processing solutions. They offer a range of services including payment gateway services, global payment processing, merchant accounts, open banking, and recurring and mass payments. Their diverse clientele includes online businesses from various sectors, supporting multiple currencies and payment methods.

Role Overview

As a Data Engineer, you will have the opportunity to work with cutting-edge data technologies and play a key role in transforming complex data into actionable insights. You will be part of a skilled team that values innovation and collaboration, working in a hybrid environment based in Riga, Latvia. This role offers a unique chance to impact a growing fintech company while developing your expertise in data engineering.

Key Responsibilities

  • Work with various data sources and integrate them into internal systems.
  • Develop, optimize, and maintain ETL pipelines and data ingestion processes.
  • Take ownership of data lakes, including their maintenance and documentation.
  • Transform complex data structures into machine-readable formats.
  • Design and maintain databases and data infrastructure.
  • Work closely with other departments to verify the relevance, quality, and accuracy of data.
  • Identify opportunities to improve the reliability and efficiency of existing data processes.

Requirements

  • Strong proficiency in Python.
  • Strong knowledge of SQL.
  • Experience with Git.
  • Hands-on experience designing and maintaining databases.
  • Good understanding of data engineering best practices.
  • Strong attention to detail and critical-thinking skills.
  • Ability to effectively manage priorities and work on multiple tasks.
  • Experience with Apache Airflow - nice to have.
  • Experience with Docker - nice to have.
  • Languages: English, Russian
  • Experience in fintech

Key Soft Skills

  • Strong analytical and problem-solving skills with excellent attention to detail.
  • Ownership mindset, proactivity, and ability to work independently and manage priorities.
  • Strong communication and collaboration skills with the ability to work effectively across teams.

What We Offer

  • Competitive salary aligned with experience
  • Collaborative and transparent team culture
  • High-impact role in a scaling fintech company
  • Recognition of personal milestones and achievements
  • Social benefits

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