Senior Data Engineer — Cloud ETL & Data Quality

Karosserie‑ und Lackierbetrieb Pür; France; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

PUR, a global B Corp, seeks a Senior Data Engineer to design and maintain scalable data pipelines and datasets powering analytics and reporting. You will transform raw project data into reliable, high-quality datasets via robust ETL processes and modern data architectures using Python.

You will collaborate with business and technical stakeholders to ensure data accessibility, trust, and alignment with analytical needs while advancing our cloud-based data platform and CI/CD practices.

Qualifications

• 3–5 years of experience in Data Engineering, with strong Python skills and experience building production-grade ETL pipelines.
• Strong SQL expertise and understanding of relational and analytical databases, data modeling, and data warehousing concepts.
• Experience with workflow orchestration tools (Airflow, Prefect, Dagster) and implementing automated testing for data pipelines.
• Hands-on experience with cloud platforms (preferably Azure) and Infrastructure as Code tools (Terraform is a strong plus).
• Familiarity with AI tools (Claude is a plus).
• Strong knowledge of Git and software engineering best practices.
• Fluent English with strong written and verbal communication skills.

Responsabilités

• Design, develop, and maintain scalable ETL/ELT pipelines using Python.
• Build and optimize data ingestion, transformation, and validation processes for large datasets.
• Design and maintain data models supporting reporting, analytics, and business applications.
• Implement and monitor data quality controls to ensure reliability and accuracy.
• Manage and optimize workflows using orchestration tools such as Airflow, Prefect, or Dagster.
• Contribute to the development and maintenance of cloud-based data platforms (Azure).
• Support CI/CD, testing, monitoring, and infrastructure-as-code practices (Terraform).
• Collaborate with cross-functional teams to deliver scalable and reliable data solutions.
• Maintain technical documentation and promote data engineering best practices.

Connaissances

Python

SQL

Data modeling

Data warehousing

Git

Outils

Airflow

Prefect

Dagster

Azure

Terraform

CI/CD

Description du poste

PUR, a global B Corp, seeks a Senior Data Engineer to design and maintain scalable data pipelines and datasets powering analytics and reporting. You will transform raw project data into reliable, high-quality datasets via robust ETL processes and modern data architectures using Python.

You will collaborate with business and technical stakeholders to ensure data accessibility, trust, and alignment with analytical needs while advancing our cloud-based data platform and CI/CD practices.