Data & Analytics Engineer (Python / dbt / GCP)

Link Group; Polska; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Cloud-based tech exposure

Collaborative culture

Analytics & AI exposure

Job summary

Link Group is seeking a versatile Data & Analytics Engineer to support the development of our data and analytics capabilities. The role combines analytics engineering, data integration and Python-based AI/ML development.

The successful candidate will build analytical data models, develop data pipelines, and integrate data from platforms including Informatica, while supporting ML/AI initiatives, preferably within the Google Cloud Platform ecosystem.

Qualifications

• Experience in analytics engineering and data modeling.
• Strong data integration capabilities across platforms.
• Proficiency in Python for analytics and ML workflows.
• Familiarity with cloud data platforms and AI/ML development.

Responsibilities

• Build and maintain analytical data models and dashboards.
• Develop robust data pipelines and data ingestion processes.
• Integrate data from existing platforms, including Informatica.
• Support ML/AI initiatives within the Google Cloud Platform environment.

Skills

Analytics engineering

Data integration

Python

AI/ML development

Google Cloud Platform

Tools

Informatica

Google Cloud Platform (GCP)

Job description

About the Role

We are looking for a versatile Data & Analytics Engineer to support the development of our data and analytics capabilities. The role combines analytics engineering, data integration and Python-based AI/ML development.

The successful candidate will be responsible for building and maintaining analytical data models, developing data pipelines and integrating data from existing platforms, including Informatica. The role will also involve supporting machine learning and AI engineering initiatives, preferably within the Google Cloud Platform (GCP) ecosystem.

What We Offer

• The opportunity to work across analytics engineering, data integration and AI/ML.
• Exposure to modern data technologies and cloud-based solutions.
• A collaborative environment with opportunities to contribute to the evolution of the data platform.