Senior GCP Data Engineer & Platform Architect

GFT Poland; Kraków, Łódź; Presencial; PLN 180.000 - 240.000; Jornada completa

Descripción de la vacante

GFT Poland is seeking an Expert Data Consultant to design and build modern data platforms and products across cloud and on-premise environments. You will work with business and technical stakeholders to create scalable data solutions and optimize data processing within agile teams.

Responsibilities include developing data ETL/ELT pipelines, onboarding data sources, and delivering data warehouses and data products with robust performance and scalability.

Formación

• 7+ years of commercial experience as a Data Engineer.
• Strong SQL, Python.
• 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.

Responsabilidades

• 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.

Conocimientos

SQL

Python

Data modelling

Data warehousing

Data lakes

Data lakehouse

BigQuery

DBT

Airflow

Trino

CI/CD

ETL/ELT

Descripción del empleo

GFT Poland is seeking an Expert Data Consultant to design and build modern data platforms and products across cloud and on-premise environments. You will work with business and technical stakeholders to create scalable data solutions and optimize data processing within agile teams.

Responsibilities include developing data ETL/ELT pipelines, onboarding data sources, and delivering data warehouses and data products with robust performance and scalability.