Senior Data Consultant

GFT TECHNOLOGIES SE; Łódź; On-site; PLN 172,200 - 220,416; Full time

Job summary

GFT TECHNOLOGIES SE is seeking a Senior Data Consultant to create and enhance cloud-based data platforms and analytical solutions. Candidates need a minimum of 5 years of experience, strong skills in SQL, Python, and Spark/PySpark, and hands-on experience with cloud data engineering tools, preferably on GCP.

This hybrid role requires collaboration in designing scalable data pipelines and optimizing data structures, ensuring data quality, performance, and reliability.

Qualifications

• 5+ years of commercial experience as a Data Engineer.
• Experience designing and implementing scalable data pipelines.
• Hands‑on experience with cloud data engineering tools, preferably on GCP.

Responsibilities

• Design, build, test and deploy cloud and on-premise data models and transformations.
• Develop and maintain ETL processes and data pipelines.
• Optimize data views and storage structures for analytics and visualization use cases.

Skills

SQL

Python

Spark/PySpark

Data modelling

Data warehousing

Cloud data engineering tools

DBT

Airflow

Trino

CI/CD practices

Tools

Power BI

Qlik

Apache Superset

Snowflake

Databricks

Job description

Date: Jul 6, 2026

Senior Data Consultant

Location: Łódź, PL, 90-118 Poznań, WP, PL, 61-569 Kraków, PL, 30-302 Warszawa, PL, 00-839

Working place: Hybrid

Type of contract: B2B contract

Salary range: 125 - 160 PLN/H

What will you do?

Join a team focused on building and evolving modern cloud-based data platforms and analytical solutions. You will design and develop scalable data pipelines, data models, and transformation processes, enabling efficient data consumption across business and technology teams while supporting data-driven decision-making.

• Design, build, test and deploy cloud and on-premise data models and transformations
• Develop and maintain ETL processes and data pipelines
• Optimize data views and storage structures for analytics and visualization use cases
• Review, refine and implement business and technical requirements
• Collaborate on backlog management, user story refinement and sprint planning activities
• Onboard new data sources and develop data ingestion frameworks
• Design, build, test and deploy cloud data warehouses and data products
• Ensure data quality, performance, reliability and scalability across solutions

Requirements

• 5+ years of commercial experience as a Data Engineer
• Strong SQL, Python and Spark/PySpark skills
• Experience with data modelling
• Knowledge of data warehousing, data lakes and data lakehouse concepts
• Hands‑on experience with cloud data engineering tools, preferably on GCP
• Experience with DBT, Airflow and Trino
• Understanding of CI/CD practices and automation
• Experience designing and implementing scalable data pipelines
• Hybrid work in one of our locations: Lodz, Poznan, Krakow, Warsaw, Wroclaw (2 office days per week)

Nice to have

• Experience with BI tools such as Power BI, Qlik or Apache Superset
• Experience with Snowflake
• Experience with Databricks