Principal Data Consultant with GCP

GFT Technologies Poland; Łódź; On-site; PLN 180,000 - 260,000; Full time

Job summary

GFT Technologies Poland is seeking an experienced Data Engineer/Architect to design and deliver modern data platforms that support advanced analytics and reporting. You will work with business stakeholders and engineering teams to shape architectural solutions, ensuring data quality, scalability, and performance across cloud environments.

Required 8+ years of experience, strong SQL/Python/Spark (PySpark), and hands-on expertise with Databricks, Snowflake, and GCP.

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 (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
• 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
• At least 8 years of commercial experience as a Data Engineer, Lead Data Engineer, or Data Architect
• Strong expertise in SQL

Skills

SQL

Python

Spark / PySpark

Data architecture

Data quality

Metadata management

Cloud data engineering

Databricks

Snowflake

GCP

Tools

Databricks

Snowflake

GCP

Job description

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.

• 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
• 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 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