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Backend Developer / Data Engineer

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Onsite

Backend Developer / Data Engineer

E-Solutions

Backend Developer / Data Engineer

Skills

Data EngineeringDockerPythonMicroservicesPostgreSQLGitMachine LearningAIAWSGitHubKubernetesFastAPI

1 month ago

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Important information


Contract type:

Permanent

Location:

Warsaw, Poland

Work mode:

Onsite

Published on:

15 September 2026

What they need


Role Backend Developer / Data Engineer

Location Warsaw, Poland – Hybrid

Type Full-Time

Job Description

Role: Backend Developer / Data Engineer

Experience level: At least 8 years of professional experience.

Key technical requirements

· Python Proficiency: Strong proficiency in Python, including writing clean, type-hinted, scalable, and testable code. Strong focus on code quality, maintainability, and engineering best practices.

· Backend And Data Pipelines Development: Proficiency to develop REST applications with FastAPI. Experience with databases (e.g. PostgreSQL). Experience with designing and implementing ETL pipelines.

· Development Practices: Strong knowledge of Git version control. Experience with GitHub Actions and building CI/CD pipelines.

· Cloud / Platform Requirements: Strong knowledge of Docker and application containerization. Good understanding of core AWS services, particularly AWS Glue, AWS Batch, ECS, S3, and ECR.

Nice-to-have requirements

· Observability: Basic knowledge of OpenTelemetry, including metrics, distributed tracing, logging, and observability best practices.

· Platform & Security: Basic knowledge of Kubernetes and Helm Charts. Familiarity with OAuth 2.0 and modern authorization mechanisms.

· Data & Architecture: Understanding of relational databases and data engineering best practices. Experience building cloud-native and microservices-based systems.

· AI / Machine Learning: Interest in or experience working with AI/ML systems and LLM-based applications.

Language requirements (language, proficiency level)

· English: C1 proficiency level.

Description of the project in which the service will be provided

One of the projects is a RAG-based consumer assistant, the second one is focused on in-depth various types of document analysis and a chat-based interface. Both projects need further development and maintenance.

Technologies utilized

Python, AWS, Kubernetes, LLMs, Classical AI/ML.

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