Principal Data Engineer with GCP

GFT Technologies • IT Outsourcing & Dedicated Teams • Custom Software Development • Python • SQL • Power BI • Superset • 30 days ago
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Salary
$69k – $106k per year (gross)
Location
Remote (Poland)
Seniority
Principal · 8+ years exp

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Sep 13, 2026.

Overview
Company
Impact
Profile match

GFT Technologies

GFT Technologies is a Stuttgart company founded in 1987 that builds software for banks, insurers and industrial firms. Its engineers work on core banking modernisation, cloud migration and artificial intelligence projects for financial institutions worldwide. The company operates delivery centres across Europe, Latin America and Asia.
gft.com • HQ: Stuttgart, Germany • IT Outsourcing & Dedicated Teams • Custom Software Development • Cloud Consulting & Migration • Financial Software & Embedded Finance • IT Consulting & Digital Transformation • 1001-5000 employees • Est. 1987
Tech stack of GFT Technologies

Type of contract: Employment contract

Salary range: 22500 - 34500 PLN gross

What will you do?

Join a team focused on designing and delivering 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.

Your tasks

  • Design and optimize data platform architecture
  • Design and implement data processing frameworks, templates, and solutions
  • Collaborate closely with business stakeholders and engineering teams
  • Review, refine, and 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

Your skills

  • At least 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

Nice to have

  • Experience with BI tools such as Power BI, Qlik, or Apache Superset
  • Experience in consulting environments
  • Experience in Data Science

We offer

  • Working in a highly experienced and dedicated team
  • Benefit package tailored to your needs (medical, sport, lunch subsidy, life insurance, etc.)
  • Online training and certifications
  • Access to e-learning platform
  • Work From Anywhere (up to 140 days/year abroad)
  • Social events
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