GCP Data Platform Architect & Pipeline Expert

GFT Technologies Poland; Wrocław; On-site; PLN 260,000 - 380,000; Full time

Job summary

GFT Technologies Poland is seeking an Expert Data Consultant to design and build modern data platforms across cloud and on-premise environments. You will craft scalable data solutions, optimize processing pipelines, and support data-driven decisions within agile teams.

You will design data models, pipelines, data warehouses, and ingestion frameworks while collaborating with stakeholders and ensuring platform performance and reliability.

Qualifications

• 7+ years of commercial experience as a Data Engineer.
• Strong SQL, Python.
• Hands-on experience with GCP data engineering tools.
• Experience with data modelling.
• Understanding of data warehousing, data lakes and data lakehouse architectures.
• 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

GCP

Data modelling

Data warehousing

BigQuery

DBT

Airflow

Trino

CI/CD

Data pipelines

Tools

BigQuery

DBT

Airflow

Trino

Job description

GFT Technologies Poland is seeking an Expert Data Consultant to design and build modern data platforms across cloud and on-premise environments. You will craft scalable data solutions, optimize processing pipelines, and support data-driven decisions within agile teams.

You will design data models, pipelines, data warehouses, and ingestion frameworks while collaborating with stakeholders and ensuring platform performance and reliability.