# Middle Data Engineer + AI experience

> Globaldev Group · Ukraine (Remote) · — · Posted 2026-05-18

**Workplace:** remote

**Department:** Dream Team

## Description

### Requirements

-   3+ years of experience in Data Engineering
-   Strong data engineering background with the ability to design and own solutions end-to-end
-   Proficiency in Python, Airflow, dbt, and Redshift for data processing, pipeline development, and transformation
-   Experience building and maintaining ETL / ELT pipelines and data integrations, including fetching and normalizing data from non-robust 3rd party sources
-   Hands-on experience with LLM/agent-based automation applied to business processes (e.g., building agents or LLM-powered workflows for data transformation, testing, or extraction)
-   Practical familiarity with modern AI tooling — LLM APIs (OpenAI, Anthropic, etc.), RAG patterns, prompt engineering, and agent frameworks (LangChain, LlamaIndex, or similar)
-   Cross-functional flexibility: comfortable stepping beyond pure DE work into adjacent areas — light DevOps (Docker, CI/CD, cloud deployment), backend integration, and basic frontend when a POC requires it
-   Excellent communication skills — able to explain technical decisions to non-technical stakeholders
-   Self-directed and proactive: able to spot workflow inefficiencies and drive improvements with minimal supervision
-   Product thinking: collaborate with business teams, propose solution approaches, build quick POCs, iterate on feedback, and support production deployment

### Responsibilities

-   Analyze business workflows and identify opportunities for data automation and AI-driven process automation
-   Design, build, and maintain scalable data pipelines and integrations, including ingestion from unreliable or unstructured 3rd party sources
-   Build LLM- and agent-based solutions for data transformation, validation/testing, and extraction tasks
-   Containerize data and AI workloads using Docker and deploy to cloud infrastructure (AWS)
-   Develop prototypes and POCs to validate ideas quickly — both data pipelines and AI-powered workflows
-   Collaborate with business and technical teams to refine requirements and iterate on solutions
-   Support the deployment and integration of data and AI solutions into production systems
-   Continuously improve data processes through automation and AI-driven approaches
-   Contribute to data modeling, quality, and observability practices

### What we offer

-   Direct cooperation with the already successful, long-term, and growing project.
-   Flexible work arrangements.
-   Collaborative and supportive team culture.
-   Truly competitive salary.
-   Help and support from our caring HR team.

## Apply

[Apply at Globaldev Group](https://apply.workable.com/globaldevgroup/j/CBD4C8D150/apply)

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