Senior Scala Data & AI Platforms Engineer (Remote)

Talanto; Poznań; Hybrid; PLN 239,000 - 262,000; Full time

Job summary

Talanto is seeking a Senior Scala Developer – Data & AI Platforms for a remote position based in Poznan, Poland. You will work on data validation and analysis for e-commerce platforms, leveraging Scala/Kotlin, Spark, and AI technologies to improve product data quality.

The role emphasizes collaboration with cross-functional teams, strong coding standards, and the use of modern data engineering tools in an agile, remote-friendly setting.

Qualifications

• Minimum 5 years of experience with Scala/Kotlin (with openness to learn the other).
• Strong expertise in SpringBoot, Spark, PostgreSQL, and AI technologies.
• Proven experience in data-centric projects with AI/ML models.

Responsibilities

• Develop and implement efficient manual verification methods for product data, optimizing processes with prototypes built in TypeScript, React, and Scala.
• Enhance the Rynker system by developing analytical tools for market and product structure analysis, collaborating with commercial, SEO, and Quality teams.
• Implement and maintain a two-step data repair process, utilizing Large Language Models (LLMs), Scala, and Apache Spark to generate and propagate data corrections automatically.
• Continuously optimize tools for performance and precision, ensuring seamless integration and effective data management.
• Collaborate with cross-functional teams to improve existing features and drive innovative solutions within the platform.
• Maintain high-quality code standards, participate in code reviews, and foster a culture of continuous improvement.

Skills

Scala/Kotlin

SpringBoot

Spark

PostgreSQL

AI/ML concepts

Agile methodologies

Problem-solving

Tools

React

TypeScript

Angular

Job description

Talanto is seeking a Senior Scala Developer – Data & AI Platforms for a remote position based in Poznan, Poland. You will work on data validation and analysis for e-commerce platforms, leveraging Scala/Kotlin, Spark, and AI technologies to improve product data quality.

The role emphasizes collaboration with cross-functional teams, strong coding standards, and the use of modern data engineering tools in an agile, remote-friendly setting.