Expert Data Consultant (Kraków, PL, 30-302)

GFT Technologies SE; Kraków; Hybrid; PLN 214,000 - 282,000; Full time

Job summary

GFT Technologies SE seeks an experienced Data Engineer to join a team building a cloud-based strategic data platform for risk management in investment banking. You will handle data integration, automation, and modernization across large financial services platforms.

The role emphasizes Python, PySpark, Azure services, and CI/CD in an Agile environment, with a hybrid setup based at Kraków, Poland. Strong Unix and SQL skills are required for data processing and troubleshooting.

Qualifications

• 10+ years of professional software engineering experience.
• Recent hands-on experience with Python and PySpark used continuously over the last 2-3 years.
• Experience with Java or C#.
• Strong experience working on Unix platforms including file operations, permissions, environments, and data analysis.
• Hands-on experience designing and developing ETL and data solutions using Python.
• Experience with data ingestion, transformation, cleansing, loading, and reporting processes.
• Experience with Shell scripting.
• Experience with Autosys.
• Experience working with Oracle databases.
• Ability to gather business requirements and break them down into implementable technical tasks.
• Experience with CI/CD pipelines and GitLab.
• Good understanding of software development lifecycle within Agile environments.
• Strong knowledge of Azure platform.
• Experience with ADLS.
• Experience with Azure Key Vault.
• Experience with Databricks.
• Openness to work hybrid from our client's office (Kraków) 3 days a week.

Responsibilities

• Design and develop ETL and data processing solutions using Python and PySpark
• Build and maintain cloud-based data platforms and pipelines
• Analyze business requirements and translate them into technical solutions and implementation plans
• Develop data ingestion, cleansing, transformation, loading, and reporting processes
• Work with Azure services including ADLS, Azure Key Vault, and Databricks
• Create and maintain CI/CD pipelines using GitLab
• Develop and maintain Shell scripts and scheduling solutions
• Collaborate with stakeholders in an Agile delivery environment
• Support data analysis and troubleshooting on Unix platforms
• Ensure high quality, scalability, and reliability of data solutions

Skills

Python

PySpark

Java

C#

Unix

Shell scripting

CI/CD

Agile

Tools

Autosys

Oracle databases

Azure

ADLS

Azure Key Vault

Databricks

GitLab

Job description

Type of contract: B2B contract

Salary range: 155 - 205 PLN/H

What will you do?

You will join a team responsible for building a cloud-based strategic data platform supporting risk management processes within investment banking. The project focuses on data integration, process automation, digital transformation, and modernization of large-scale financial services platforms, enabling more effective risk management and data processing capabilities.

Your tasks

• Design and develop ETL and data processing solutions using Python and PySpark
• Build and maintain cloud-based data platforms and pipelines
• Analyze business requirements and translate them into technical solutions and implementation plans
• Develop data ingestion, cleansing, transformation, loading, and reporting processes
• Work with Azure services including ADLS, Azure Key Vault, and Databricks
• Create and maintain CI/CD pipelines using GitLab
• Develop and maintain Shell scripts and scheduling solutions
• Collaborate with stakeholders in an Agile delivery environment
• Support data analysis and troubleshooting on Unix platforms
• Ensure high quality, scalability, and reliability of data solutions

Requirements

• 10+ years of professional software engineering experience
• Recent hands-on experience with Python and PySpark used continuously over the last 2-3 years
• Experience with Java or C#
• Strong experience working on Unix platforms including file operations, permissions, environments, and data analysis
• Hands-on experience designing and developing ETL and data solutions using Python
• Experience with data ingestion, transformation, cleansing, loading, and reporting processes
• Experience with Shell scripting
• Experience with Autosys
• Experience working with Oracle databases
• Ability to gather business requirements and break them down into implementable technical tasks
• Experience with CI/CD pipelines and GitLab
• Good understanding of software development lifecycle within Agile environments
• Strong knowledge of Azure platform
• Experience with ADLS
• Experience with Azure Key Vault
• Experience with Databricks
• Openness to work hybrid from our client's office (Kraków) 3 days a week

Nice to have

• Experience with AI-powered development tools such as GitHub Copilot
• Experience creating automation agents and AI-based productivity solutions