Senior Data Engineer - GCP, BigQuery & Power BI (Remote)

Sii Poland; Piła; Hybrid; 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 a Senior Data Engineer to drive data engineering projects across Poland with flexible remote, hybrid, or office work options. You will build robust data pipelines, orchestrate workflows with Airflow, and deliver curated data products to analytics platforms.

The role emphasizes BigQuery, Python, SQL, and Power BI, with collaboration across stakeholders to meet reporting needs and ensure data quality. English proficiency is required.

Qualifications

• Minimum 5 years of data engineering experience in cloud environments.
• Strong expertise in Google Cloud Platform, BigQuery.
• Proficient in Python and SQL for data manipulation.
• Hands-on experience with Apache Airflow for orchestration.

Responsibilities

• Build and maintain data pipelines for reliable data flow.
• Develop data orchestration workflows using Airflow.
• Create curated data products and semantic layers for analytics.
• Support reporting initiatives with Power BI and other BI tools.
• Collaborate with stakeholders to translate data needs into solutions.
• Ensure data quality through testing and validation.
• Document processes to maintain clarity in data operations.
• Stay updated with industry trends in data engineering and cloud tech.

Skills

Data pipelines

GCP BigQuery

Python

SQL

Airflow

Power BI

Git

English

Tools

Airflow

Power BI

Git/GitHub

BigQuery

Python

SQL

Job description

Sii Poland is seeking a Senior Data Engineer to drive data engineering projects across Poland with flexible remote, hybrid, or office work options. You will build robust data pipelines, orchestrate workflows with Airflow, and deliver curated data products to analytics platforms.

The role emphasizes BigQuery, Python, SQL, and Power BI, with collaboration across stakeholders to meet reporting needs and ensure data quality. English proficiency is required.