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Data Engineer

emagine Polska

Warszawa, Domaniewska +2 więcej
Hybrydowa
B2B
Unix
Git
Jenkins
Ansible
SDLC
GitHub
Linux
☁️ Microsoft Azure Cloud
RESTful API
🐍 Python
💼 B2B
Hybrydowa
Pełny etat
📊 Data engineer
SQL
📊 Databricks
ETL
CI/CD
☁️ Microsoft Azure
📊 Data Engineering
🤖 Apache Airflow or Hadoop
Tableau or Looker
🔍 Google Cloud Platform (GCP)
📊 Data modeling
📊 Data Pipelines
Cloud
📊 Data Mapping
☁️ AWS
🔍 Google Cloud Platform
Hadoop
Cloudera
☁️ Azure
📊 Big Data
Java
PySpark
Scala

Name

Data Engineer

Data

-, Kraków

emagine Polska

Full-time

B2B

Senior

Hybrid

Tech stack

English

C1

Python

regular

Unix

regular

Linux

regular

Microsoft Azure Cloud

regular

RESTful API

regular

Git

regular

GitHub

regular

Ansible

regular

Jenkins

regular

SDLC

regular

Job description

Location: Cracow (hybrid - 1 time per month in the office)

Contract: b2b

The Data Engineer role involves the development of critical data pipelines and services integral to our Generative AI models. Successful candidates will be proficient in Python and familiar with both on-premises Unix/Linux environments and Azure Cloud. The position is ideal for detail-oriented individuals who thrive in dynamic settings and possess a strong foundation in data processes.

Main Responsibilities: Key responsibilities include:

  • Creation of agents for data sourcing from various systems.

  • Building data transfer pipelines.

  • Developing microservices synchronized with Generative AI solutions.

Key Requirements: Candidates must possess the following skills and qualifications:

  • Experienced in Python and Unix/Linux environment on-premises.

  • Experience with time-series/analytics databases such as Elasticsearch.

  • Experience in Azure Cloud.

  • Experience in RESTful APIs using Python FastAPI.

  • Experience with Generative AI APIs.

  • Experience in building data models and pipelines for Retrieval-Augmented Generation.

  • Experience in building microservices.

  • Familiarity with industry-standard version control tools (Git, GitHub) and deployment tools (Ansible & Jenkins).

  • Basic shell-scripting proficiency.

  • Understanding of big data modeling techniques using relational and non-relational approaches.

  • Self-starter, proactive, and team-oriented.

  • Willingness to learn and adapt to changing requirements.

  • Experience and understanding of the Software Development Lifecycle (SDLC).

Nice to Have: Preferred skills and qualifications include:

  • Understanding or experience of Cloud design patterns.

  • Great communication skills.

Published: 13.08.2025

Office location

Wyświetlenia: 15
Opublikowana5 dni temu
Wygasaza 25 dni
Rodzaj umowyB2B
Tryb pracyHybrydowa
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