Senior Data Engineer

About This Opportunity

We are representing a confidential environmental impact organization in their search for a Senior Data Engineer to join their data team in Paris, France. Our client is a global B Corp working on nature-based solutions and climate projects across more than 30 countries.

This is a permanent, full-time position requiring local presence in Paris. You will report to the Lead Data Engineer and play a key role in transforming project data into reliable, high-quality datasets that drive decision-making across the organization.

Responsibilities

• 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 using tools like Terraform
• Collaborate with cross-functional teams to deliver scalable and reliable data solutions
• Maintain technical documentation and promote data engineering best practices

What We're Looking For

• 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 such as Airflow, Prefect, or Dagster
• Hands-on experience implementing automated testing for data pipelines
• Hands-on experience with cloud platforms, preferably Azure
• Experience with 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 with a focus on data quality and reliability
• Ability to collaborate effectively with cross-functional stakeholders
• Fluent English with strong written and verbal communication skills

How We Work With You

When you apply through Get A Job.ai, our talent team will review your profile and conduct an initial screening. If there's a strong match, we will submit your candidacy to our client for consideration. The client's interview process includes an interview with their recruiter, followed by a manager interview with a case study, and finally a reference check.

Please apply only through Get A Job.ai. Do not attempt to contact the client directly, as we are managing this search exclusively on their behalf.

Pay

Compensation details will be discussed during the screening process with our recruitment team.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applications from all qualified candidates and provide accommodation throughout our recruitment process upon request.