Data Platform Tech Lead | Python, PySpark, Azure

GFT Technologies SE

Kraków

Hybrid

PLN 194,000 - 298,000

Full time

9 days ago

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Benefits offered by this job

Hybrid work in Kraków (3 days a week)

Medical benefits

Sport subsidy

Lunch subsidy

Life insurance

Online training

Access to e-learning platform

Social events

Job summary

GFT Technologies SE in Kraków is seeking a senior data engineer to join a team building a cloud-based data platform supporting risk management in financial services. You will work on data integration, automation, and modernization of large-scale platforms using Python, PySpark, and Azure services.

You will design ETL processes, build pipelines, and implement CI/CD with GitLab in an Agile environment, ensuring scalable, reliable data solutions across Unix platforms.

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.

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

ETL

Shell scripting

GitLab CI/CD

Autosys

Oracle databases

Requirements gathering

Azure

ADLS

Azure Key Vault

Databricks

Tools

GitLab