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# Senior Data Engineer

- **Company:** LE PUR
- **Location:** Paris, France
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Automation of Tests, Microsoft Azure, Big Data, Business Software, Databases, Continuous Integration, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Warehousing, Decision Support Systems, Python (Programming Language), DataOps, Software Construction, Workflow Management Systems, Data Processing, Cloud Platform System, Data Ingestion, Git, Infrastructure Automation Frameworks, Terraform, Data Pipelines
- **Published:** September 7, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5fe8b68011041c31

## About the Role

* 3-5 years of experience in Data Engineering, with strong Python skills and experience building production-grade ETL pipelines.
 * Strong SQL expertise and solid 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.
 * Excellent problem-solving skills, focus on data quality and reliability, and ability to collaborate with cross-functional stakeholders.
 * Fluent English with strong written and verbal communication skills.

## Description

As a Senior Data Engineer, you will design, develop, and maintain scalable data pipelines and data processing solutions that power analytics, reporting, and data-driven decision making. You will play a key role in transforming raw project data into reliable, high-quality datasets through robust ETL processes, modern data architectures, and Python-based engineering practices.

Working closely with business and technical stakeholders, you will ensure that data is accessible, trustworthy, and aligned with analytical requirements while contributing to the continuous improvement of our data platform and cloud-based ecosystem., * 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 (preferably 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.


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