Python Developer (Data Area)

Experis ManpowerGroup Sp. z o.o.; Warszawa; Hybrid; PLN 150,000 - 190,000; Full time

Benefits offered by this job

Private healthcare (Medicover)

Multisport card

Group life insurance

Hybrid working model

Opportunity to work on modern cloud &\

Job summary

Experis ManpowerGroup Sp. z o.o. in Warsaw is seeking an experienced Python Data Quality Engineer to support the development of modern cloud-based data solutions. The role requires strong GCP expertise and hands-on work with BigQuery, Dataplex, Dataproc, and Airflow.

You will design and maintain data pipelines, collaborate with project teams, and adapt quickly to new client environments. The position offers a hybrid work model and healthcare benefits.

Qualifications

• Experience in data quality projects.
• Proficient with GCP: BigQuery, Dataplex, Dataproc, Composer (Airflow).
• Strong Python and SQL skills; experience with GitHub and Artifact Registry.

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

GCP

BigQuery

Dataplex

Dataproc

Airflow

dbt

Python

SQL

GitHub

Artifact Registry

Analytical skills

Stakeholder collaboration

Adaptability

Tools

Google Artifact Registry

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