Principal Data Consultant with GCP

GFT Technologies Poland; Warszawa; On-site; PLN 180,000 - 240,000; Full time

Job summary

GFT Technologies Poland is seeking an experienced Data Engineer/Lead Data Engineer/Data Architect to design and optimize data platform architectures for advanced analytics and reporting. You will translate business requirements into scalable architectural decisions, ensure data quality, and drive governance across cloud-based environments.

Ideal candidates have 8+ years of relevant experience, strong SQL, Python, and Spark/PySpark skills, and hands-on experience with Databricks or Snowflake in

Qualifications

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

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.

Skills

SQL

Python

Spark/PySpark

Cloud data engineering

Data architecture

Data quality

Metadata management

Governance

GCP

Tools

Databricks

Snowflake

Power BI

Qlik

Apache Superset

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 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