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Data Engineer

Dabstergroupuk — Poland · Posted ~2 hours ago

Skills

Python FastAPI PostgreSQL ETL pipelines Git GitHub Actions CI/CD Docker AWS AWS Glue AWS Batch Amazon ECS Amazon S3 Amazon ECR ETL ECS S3 ECR OpenTelemetry Kubernetes Helm OAuth 2.0

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Summary ✨ AI‑Generated

Join a modern engineering team building scalable data pipelines and backend services. You will develop clean, tested Python applications, design ETL workflows, work with relational databases, and build containerized services on AWS. The role also offers exposure to CI/CD, observability, Kubernetes, and modern security practices.

Highlights

Strong focus on modern data engineering, scalable backend development, cloud infrastructure, automation, and engineering best practices.

Description

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