GCP Data Engineer: BigQuery & Data Pipelines

Sii Poland; Bydgoszcz; On-site; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Great Place to Work

Centre of internal trainings

Profit sharing

Medical care

Job summary

Sii Poland is seeking an experienced Data Engineer to design and maintain scalable data pipelines on Google Cloud. You will work with BigQuery, orchestrate workflows with Airflow, and implement CI/CD for data solutions.

The role requires strong SQL, Python, and English communication, with local Poland location and Polish language fluency. Join our Data & Analytics team to grow toward Data Engineering, Big Data, or Machine Learning, and contribute to data architecture and governance in a

Qualifications

• Min. 4 years of experience in a Data Engineer role or similar

Responsibilities

• Design, implement and maintain scalable data pipelines based on Google Cloud Platform
• Work with BigQuery as the main data warehouse: data modeling, query and cost optimization
• Integrate data from various sources and process and transform it
• Orchestrate data workflows using Apache Airflow / Cloud Composer
• Create and maintain CI/CD solutions for data pipelines and infrastructure
• Manage cloud infrastructure according to Infrastructure as Code (Terraform)
• Ensure data quality, monitor pipelines, and respond to incidents
• Collaborate with analytics, BI, and product teams to deliver well-documented data
• Participate in development of data architecture and best practices in data engineering

Skills

BigQuery

Data pipelines

SQL

Python

Airflow

CI/CD

GitHub Actions

GitLab CI

Cloud Build

Terraform

Polish language

English language

Job description

Sii Poland is seeking an experienced Data Engineer to design and maintain scalable data pipelines on Google Cloud. You will work with BigQuery, orchestrate workflows with Airflow, and implement CI/CD for data solutions.

The role requires strong SQL, Python, and English communication, with local Poland location and Polish language fluency. Join our Data & Analytics team to grow toward Data Engineering, Big Data, or Machine Learning, and contribute to data architecture and governance in a