Senior Data Consultant with GCP (Łódź, PL, 90-118)

GFT Technologies SE

Łódź

On-site

PLN 172,000 - 220,000

Full time

14 days+

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Job summary

Join GFT Technologies SE in Łódź as a Data Engineer helping build and evolve modern cloud-based data platforms and analytical solutions. You will design scalable data pipelines, data models, and ETL processes to enable data-driven decision-making across business and technology teams.

The role focuses on cloud data warehouses, data products, and data quality, with hands-on experience in GCP tools and BigQuery. Collaboration across teams and adherence to CI/CD practices are essential.

Qualifications

5+ years of commercial experience as a Data Engineer.
Strong SQL and Python programming skills.
Experience with data modeling and data warehousing concepts.
Hands-on with GCP data engineering tools and BigQuery.
Knowledge of DBT, Airflow and Trino.
Understanding CI/CD practices and automation.
Experience designing scalable data pipelines.

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.
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.

Skills

SQL

Python

Data Modeling

Data Warehousing

BigQuery

DBT

Airflow

Trino

GCP Tools

CI/CD

Data Pipelines

Tools

Snowflake

Databricks

Power BI

Qlik

Apache Superset

Job description

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.

Your tasks

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