Senior Data Engineer — GCP & Spark Platform Architect

GFT Technologies Poland

Warszawa

Hybrid

PLN 240,000 - 360,000

Full time

35 hours ago
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Benefits offered by this job

Medical package
Sport benefits
Lunch subsidies
Life insurance
Online training/certifications
E-learning platform access
Work From Anywhere (up to 140 days/yr)

Job summary

GFT Technologies Poland is seeking a senior Data Engineer/Architect to design and deliver modern data platforms and architectures that support advanced analytics, reporting, and data-driven decision-making.

You will work closely with business stakeholders and engineering teams to define data strategies, shape architectural solutions, and ensure high standards of data quality, scalability, and performance across cloud-based environments.

Qualifications

  • 8+ years of commercial data engineering, lead data engineering, or data architecture experience.
  • Strong SQL, Python, and Spark/PySpark expertise.
  • Experience with GCP cloud data engineering tools and data platforms.
  • Designing data architectures on Databricks or Snowflake.
  • Familiarity with data quality, metadata management, and governance.

Responsibilities

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

Skills

SQL
Python
Spark / PySpark
GCP
Databricks
Snowflake

Tools

Databricks
Snowflake
Power BI

Job description

GFT Technologies Poland is seeking a senior Data Engineer/Architect to design and deliver modern data platforms and architectures that support advanced analytics, reporting, and data-driven decision-making.

You will work closely with business stakeholders and engineering teams to define data strategies, shape architectural solutions, and ensure high standards of data quality, scalability, and performance across cloud-based environments.

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