Data Engineer

Evotym

Polska

On-site

PLN 180,000 - 260,000

Full time

2 days ago
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Benefits offered by this job

Competitive salary
Transparent culture
High-impact role in fintech scale-up
Social benefits

Job summary

Evotym is seeking a Data Engineer in Poland to design and optimize scalable data pipelines and data infrastructure for fintech applications.

You will own ETL/ELT processes, manage data lakes, and collaborate with cross-functional teams to ensure data quality and accessibility across platforms.

Qualifications

  • Proven Python and SQL proficiency with scalable data pipelines.
  • Experience building ETL/ELT processes and data ingestion.
  • Hands-on Spark for large-scale processing in production.
  • Experience with Kafka-based streaming data pipelines.
  • Knowledge of data modeling, warehousing, and DB design.
  • Cloud data infra on AWS and containerized deployments.

Responsibilities

  • Develop, optimize, and maintain scalable ETL pipelines and data ingestion.
  • Own data lakes, maintenance and documentation.
  • Transform complex data into machine-readable formats.
  • Design and maintain databases and data infrastructure.
  • Collaborate with multiple teams to ensure data quality and relevance.
  • Identify improvements to reliability and efficiency of data processes.

Skills

Python
SQL
ETL/ELT design
Apache Spark
Apache Kafka
Airflow
Docker
AWS
Data modeling
Git

Tools

Apache Spark
Apache Kafka
Apache Airflow
Docker
AWS

Job description

About the Client

Our client is a provider of online payment processing solutions, focusing on a range of services including payment gateway services, global payment processing, and open banking. They serve online businesses across various sectors, supporting multiple currencies and payment methods.

Role Overview

As a Data Engineer, you will have the opportunity to work with cutting-edge technologies and make a significant impact on data processes within the fintech sector. This role involves developing scalable data pipelines, optimizing data infrastructure, and collaborating with cross-functional teams to ensure data accuracy and quality.

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 and advanced SQL.

  • Hands-on experience designing, building, and maintaining scalable data pipelines and data processing solutions.

  • Strong experience with ETL/ELT processes, including data ingestion, transformation, integration, and orchestration.

  • Practical experience with Apache Spark for large-scale data processing.

  • Experience with Apache Kafka and event-driven/streaming data pipelines.

  • Hands-on experience with database design, data modeling, optimization, and performance tuning.

  • Practical experience with AWS cloud services and cloud-based data infrastructure.

  • Experience with Apache Airflow for workflow orchestration and scheduling.

  • Practical experience with Docker and containerized environments.

  • Strong knowledge of Git and modern software development workflows.

  • Solid understanding of data architecture, data quality, reliability, scalability, and data engineering best practices.

  • Ability to write clean, efficient, testable, and maintainable code.

  • Strong analytical, problem-solving, and critical-thinking skills with excellent attention to detail.

  • Ability to work independently, prioritize effectively, and manage multiple tasks in a fast-paced environment.

  • 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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