Python Data Quality Engineer

Experis ManpowerGroup Sp. z o.o.; Polska; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Private healthcare

Multisport card

Group life insurance

Hybrid working model

Opportunity to work on modern cloud &デ

Job summary

Experis ManpowerGroup Sp. z o.o. in Warsaw, hybrid role, seeks a Python Data Quality Engineer to help design and implement cloud-based data solutions on GCP, including BigQuery, Dataplex, Dataproc, and Airflow.

You'll work with project teams and business stakeholders to ensure data quality, write Python and SQL code, and integrate pipelines while aligning with architectural standards.

Qualifications

• Experience in data quality projects.
• Hands-on with GCP: BigQuery, Dataplex, Dataproc, 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 with project teams and stakeholders.
• Adaptability 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

Python

SQL

GCP

BigQuery

Dataplex

Dataproc

Airflow

dbt

GitHub

Artifact Registry

Data quality

Analytical

Problem-solving

Collaboration

Adaptability

Job description

Python Data Quality Engineer

Location: Warsaw (Hybrid - 8 days in the offive per month)
Start Date: Within 30 days / 1 month

We are looking for an experienced Data Quality Engineer with strong expertise in Google Cloud Platform (GCP) to support the development of modern cloud-based data solutions.

Key Requirements

• 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

What We Offer

• Private healthcare (Medicover)
• Multisport card
• Group life insurance
• Hybrid working model
• Opportunity to work on modern cloud and data platform projects