Principal Data Consultant with GCP

GFT Technologies Poland; Wrocław; On-site; PLN 240,000 - 360,000; Full time

Job summary

GFT Technologies Poland is seeking an expert Data Engineer/Lead Data Engineer/Data Architect to design and optimize data platform architectures across cloud environments. You will translate business requirements into scalable data solutions, collaborate with stakeholders and engineering teams, and drive data quality, governance, and metadata practices.

The role requires 8+ years of relevant experience, strong SQL and Python skills, and hands-on work with GCP, Databricks, Snowflake, and Spark.

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 experience with cloud data engineering tools within GCP.
• Strong expertise in Spark or PySpark.
• Experience in data architecture, data quality, metadata management, analytics, and reporting.
• 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.

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

GCP

Databricks

Snowflake

Spark

Data Architecture

Data Quality

Metadata Management

Governance

Tools

Databricks

Snowflake

Spark

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 experience with cloud data engineering tools within GCP
• Strong expertise in Spark or PySpark
• Experience in data architecture, data quality, metadata management, analytics, and reporting
• 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