Expert Data Consultant

GFT · Kraków, Poland · On site · September 23, 2026

Sign up to apply
Your first one is free
Posted September 23, 2026 · Read from GFT
Why a CV for this job?

94% of employers say their filters drop qualified candidates whose CV does not match the ad's exact criteria (Harvard Business School, 2021).

  • They see what they asked for, first. Your experience that matches the ad leads, in the ad's own words, so someone skimming finds it in seconds.
  • It gets past the software. Many larger employers use software that ranks CVs by how closely they match the ad, often before anyone reads them.
  • In the language of the ad. An ad written in Spanish gets a CV in Spanish, even when yours is in Portuguese.
  • Your facts, nothing invented. Your own experience, reordered and reworded. What the ad wants and your CV does not show is listed for you to add, only if it is true. You check it before you send it.
See an example

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

Employer
GFT
Location
Kraków, Poland · On site