Principal Data Engineer, GCP: Build Modern Data Platforms

GFT Technologies Poland; Poznań; Hybrid; PLN 251,000 - 385,000; Full time

Benefits offered by this job

Hybrid work

Medical insurance

Lunch subsidy

Life insurance

Online training

E-learning platform access

Work From Anywhere

Job summary

GFT Technologies Poland is seeking an experienced Data Engineer/Architect to design and deliver modern data platforms across cloud environments. You will work with stakeholders to shape data strategies and ensure scalable solutions.

The role emphasizes data quality, governance, and collaboration with engineering teams, Databricks/Snowflake on GCP, and building reusable templates for analytics and reporting.

Qualifications

• 8+ years of commercial experience as a Data Engineer, Lead Data Engineer, or Data Architect.
• Strong expertise in SQL.
• Strong expertise in Python.
• Strong expertise in Spark or PySpark.
• Experience in data architecture, data quality, metadata management, analytics, and reporting.
• Strong experience with cloud data engineering tools within GCP.
• Experience designing data architectures on Databricks and/or Snowflake platforms.
• Experience with modern data engineering toolsets.

Responsibilities

• Design and optimize data platform architecture.
• Design and implement data processing frameworks, templates, and solutions.
• Collaborate closely with business stakeholders and engineering teams.
• Translate business requirements into architectural decisions.
• Drive data quality, metadata management, and governance best practices.
• Support the adoption of modern cloud-based data engineering solutions.

Skills

SQL

Python

Spark/PySpark

Data architecture

Data quality

Metadata management

Analytics & reporting

Cloud data engineering

Tools

Databricks

Snowflake

GCP

Power BI

Job description

GFT Technologies Poland is seeking an experienced Data Engineer/Architect to design and deliver modern data platforms across cloud environments. You will work with stakeholders to shape data strategies and ensure scalable solutions.

The role emphasizes data quality, governance, and collaboration with engineering teams, Databricks/Snowflake on GCP, and building reusable templates for analytics and reporting.