Hybrid Cloud Data Quality Engineer (Python + GCP)

Experis Manpower Group; Warszawa; Hybrid; PLN 140,000 - 220,000; Full time

Benefits offered by this job

Private healthcare (Medicover)

Multisport card

Group life insurance

Hybrid working model

Job summary

Experis Manpower Group in Warsaw is seeking an experienced Data Quality Engineer to support the development of modern cloud-based data solutions using Google Cloud Platform (GCP).

Key responsibilities include designing, building, and maintaining data pipelines with BigQuery, Dataplex, Dataproc and Composer (Airflow). Proficiency in dbt, Python and SQL, and experience with GitHub and Artifact Registry are required for success.

Qualifications

• Experience in data quality projects.
• Strong hands-on experience with GCP, including BigQuery, Dataplex, Dataproc, and Composer (Airflow).
• Knowledge of dbt.
• Proficiency in Python and SQL.
• Experience with GitHub and Google Artifact Registry.
• Strong analytical and problem-solving skills.
• Ability to collaborate effectively with project teams and business stakeholders.
• Ability to quickly adapt to new client environments.

Responsibilities

• Design, build, and maintain cloud-based data solutions.
• Develop data processing pipelines and integrations.
• Deliver solutions in line with technical and architectural standards.
• Support cloud and data platform initiatives across the organization.
• Collaborate with technical teams and business stakeholders.

Skills

Data quality

Python

SQL

Analytical thinking

Collaboration

Problem solving

Adaptability

Tools

GCP (BigQuery, Dataplex, Dataproc, Composer)

dbt

GitHub

Artifact Registry

Airflow

Job description

Experis Manpower Group in Warsaw is seeking an experienced Data Quality Engineer to support the development of modern cloud-based data solutions using Google Cloud Platform (GCP).

Key responsibilities include designing, building, and maintaining data pipelines with BigQuery, Dataplex, Dataproc and Composer (Airflow). Proficiency in dbt, Python and SQL, and experience with GitHub and Artifact Registry are required for success.