Data Engineer - Scalable Pipelines & Data Quality (Hybrid)

jobr.pro; Paris; Hybride; EUR 40 000 - 65 000; Plein temps

Avantages offerts par ce poste

Competitive pay

Bonus eligibility

Flexible hybrid work environment

Commitment to diversity and inclusion

Résumé du poste

jobr.pro is looking for a Data Engineer to manage data onboarding and develop scalable, reliable data pipelines. The engineer will work with data producers and analysts to ensure smooth ingestion and processing of data across platforms like Palantir Foundry and Databricks.

The ideal candidate should possess knowledge in Python, PySpark, SQL, and data modeling. Emphasis is placed on collaboration to deliver trusted datasets for analytics and operational use, within a flexible hybrid work environment.

Qualifications

• 1-3 years in data engineering or analytics engineering with end-to-end pipeline delivery in production.
• Proficiency in Python & PySpark for distributed data processing.
• Strong SQL for analytical and transformation logic.

Responsabilités

• Ingest & onboard datasets from various sources.
• Build and operate scalable ETL/ELT pipelines.
• Collaborate with analysts to translate business requirements.

Connaissances

Python

PySpark

SQL

Data modeling

Data ingestion

Data quality practices

Outils

Palantir Foundry

Databricks

Description du poste

jobr.pro is looking for a Data Engineer to manage data onboarding and develop scalable, reliable data pipelines. The engineer will work with data producers and analysts to ensure smooth ingestion and processing of data across platforms like Palantir Foundry and Databricks.

The ideal candidate should possess knowledge in Python, PySpark, SQL, and data modeling. Emphasis is placed on collaboration to deliver trusted datasets for analytics and operational use, within a flexible hybrid work environment.