Data Engineer (25DE02AD)

Overview

Location: Full remote.

Schedule: Full-time, European time zone availability.

Job Purpose

We are looking for a Data Engineer with a strong software engineering foundation to build and maintain robust data systems and pipelines. You will work closely with cross-functional teams—ranging from data scientists to product managers—to deliver high-performance, maintainable, and scalable solutions. The ideal candidate is passionate about writing clean, efficient code, participating in design discussions, and following best practices to ensure system reliability.

Key Responsibilities

Develop and optimize data pipelines to handle large-scale data efficiently and reliably.
Write clean, efficient, and reusable code, adhering to modern software engineering principles.
Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.
Conduct and participate in code reviews, promoting a culture of technical excellence and knowledge sharing.
Participate in on-call rotations, ensuring system stability and quick resolution of issues.

Experience & Qualifications

Proficiency in programming languages such as Scala or Python.
Skilled in scripting, automation, and leveraging data-related libraries (e.g., pandas, PySpark).
Experience with CI/CD pipelines and version control systems (Git).
Solid understanding of software engineering fundamentals, including test-driven development (TDD), system design, and clean coding practices.
Familiarity with data frameworks like Apache Spark, Flink, or Airflow.
Exposure to cloud platforms, particularly AWS, to deploy and manage data infrastructure.
Comfortable deploying and managing services with AWS (e.g., EC2, S3, EMR) focusing on scalability and security.
SQL to write complex queries and optimize them for large datasets.
Excellent communication and problem-solving skills in a collaborative environment.
Experience with Git branching strategies, pull requests, and thorough code reviews.
Capable of independently managing tasks, setting priorities, and problem-solving.
Advanced English level.

Foundation-Level Skills

Kotlin: familiarity with Kotlin syntax and ecosystem.
Docker: Understanding of containerization fundamentals for consistent development and deployment.

Data Engineer (25DE02AD)

Key Skills

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