GCP Data Engineer: BigQuery & Dataform Pipelines

Sii Poland; Lublin; On-site; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Great Place to Work

Centre trainings

Profit sharing

Medical care

MySii app

Job summary

Sii Poland is seeking a skilled Data Engineer to join our team and contribute to migration and modernization of data and analytics processes. You will work with Google BigQuery, Dataform, and Python, collaborating closely with analytics and data engineering teams.

This position requires working from the client's office in Warsaw once a month and offers the chance to influence data platforms, improve data pipelines, and implement best practices across projects.

Qualifications

• Minimum 4 years of professional experience in mass data processing.
• Strong SQL skills with hands-on BigQuery experience.
• Familiarity with Dataform and/or dbt on GCP.
• Proficiency in Python for data analytics and engineering tasks.
• Excellent English and Polish communication; ability to work in a team.

Responsibilities

• Migrate analytics processes from Oracle, Python, and SAS to Google BigQuery using Dataform/dbt.
• Design and maintain data processing pipelines and analytical solutions with BigQuery, Dataform, SQL, and Python.
• Contribute to modernization of Analytics Data Platform on Google Cloud Platform.
• Help define work standards and quality assurance within the department.
• Propose improvements for data processes and analytics solutions.
• Collaborate with analytics, data engineering, and business teams to translate requirements into scalable solutions.

Skills

SQL

BigQuery

Dataform

Python

English

Polish

Tools

dbt

GCP

Job description

Sii Poland is seeking a skilled Data Engineer to join our team and contribute to migration and modernization of data and analytics processes. You will work with Google BigQuery, Dataform, and Python, collaborating closely with analytics and data engineering teams.

This position requires working from the client's office in Warsaw once a month and offers the chance to influence data platforms, improve data pipelines, and implement best practices across projects.