Senior Data Engineer

Location: Onsite in Paris, France

Company

Innovative technology business building scalable products and reliable data infrastructure in a fast-paced, data-driven environment.

What you will do

• Design, build, and maintain scalable data pipelines and processing systems.
• Improve data reliability, quality, performance, and operational monitoring.
• Develop automated processes to validate and monitor data.
• Create reusable datasets and data solutions for internal engineering teams.
• Optimize data-processing workloads for performance, reliability, and cost.
• Contribute to broader data engineering practices and capabilities.

Requirements

• Several years of experience designing, developing, and supporting production-grade data pipelines.
• Strong hands-on experience with Python and SQL, plus Scala or a comparable programming language.
• Practical experience with Apache Spark, PySpark, Spark SQL, and stream-processing technologies.
• Familiarity with Parquet, Apache Iceberg, data lakes, large-scale storage platforms, and curated datasets.
• Understanding of batch and streaming trade-offs, distributed processing architecture, query performance, and data-processing efficiency.
• Strong knowledge of data quality, reliability, monitoring, and operational best practices.

Nice to have

• Experience with Apache Flink or comparable stream-processing frameworks.
• Experience supporting machine-learning training or inference data pipelines.
• Familiarity with recommendation systems, ranking, embeddings, or entity matching and resolution.
• Experience with privacy-sensitive datasets and data retention, deletion, export, or regulatory requirements.

Culture & Benefits

• Competitive salary package with equity for all employees.
• Comprehensive healthcare coverage and enhanced parental leave.
• Generous annual holiday allowance and company-wide shutdown periods.
• Collaborative working environment in a modern Paris office.
• Inclusive workplace with accessibility adjustments available during the application and interview process.