Senior Data Platform Architect

GFT Technologies SE; Łódź; On-site; PLN 214,000 - 282,000; Full time

Job summary

GFT Technologies SE in Poland is seeking an Expert Data Consultant to help design and build modern data platforms across cloud and on-premise environments. You will work closely with business and technical stakeholders to create scalable data solutions, optimize data processing pipelines, and support data-driven decision making within agile delivery teams.

Your tasks include designing data models, developing ETL/ELT pipelines, onboarding data sources, and building data warehouses and products to

Qualifications

• 7+ years of commercial experience as a Data Engineer.
• Strong SQL and Python programming skills.
• Experience with data modelling.
• Understanding of data warehousing, data lakes and data lakehouse architectures.
• Hands-on experience with GCP data engineering tools.
• Very good knowledge of BigQuery.
• Experience with DBT, Airflow and Trino.
• Understanding of CI/CD principles and practices.
• Experience designing and building scalable data pipelines.

Responsibilities

• Design, build, test and deploy cloud and on-premise data models and transformations.
• Develop and maintain ETL and ELT pipelines.
• Onboard new data sources and build data ingestion frameworks.
• Design, build, test and deploy cloud data warehouses and data products.
• Optimize data views and schemas for reporting and visualization use cases.
• Review, interpret and implement business and technical requirements.
• Collaborate on backlog refinement, user stories and epics in Jira.
• Ensure data platform performance, scalability and reliability.

Skills

SQL

Python

Data modelling

CI/CD

Data pipelines

Tools

DBT

Airflow

Trino

BigQuery

GCP tools

Snowflake

Databricks

Spark/PySpark

Job description

GFT Technologies SE in Poland is seeking an Expert Data Consultant to help design and build modern data platforms across cloud and on-premise environments. You will work closely with business and technical stakeholders to create scalable data solutions, optimize data processing pipelines, and support data-driven decision making within agile delivery teams.

Your tasks include designing data models, developing ETL/ELT pipelines, onboarding data sources, and building data warehouses and products to