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# Senior Data Engineer

- **Company:** ALICE SERVICE
- **Location:** Paris, France
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Airflow, Apache HTTP Server, BigQuery, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Experimental Data, Data Flow Control, Python (Programming Language), Meta-Data Management, Metadata Standards, Quantum Computing, Cloudera, SQL Databases, Google Cloud, Data Ingestion, Apache Spark, Data Lakes, Data Management, Data Pipelines
- **Published:** May 31, 2026
- **Apply:** https://fr.indeed.com/viewjob?jk=2785248f9bcc0aa2

## About the Role

Do you have experience in Spark?, * 5+ years of experience in Data Engineering and production-scale data platforms

 * Strong expertise in SQL, Python, and GCP data services (BigQuery, Airflow, GCS, Pub/Sub)
 * Experience with distributed processing tools and modern lakehouse technologies (Spark, Iceberg, Delta Lake, Hudi)
 * Solid understanding of data modeling, orchestration, CI/CD, and data governance
 * Experience with scientific, hardware, or experimental data pipelines is a plus
 * Strong communication skills, analytical mindset, and ability to mentor cross-functional teams
 * Fluent English required; experience in deeptech or quantum environments is a plus

## Description

As a Senior Data Engineer, you will help build and scale a reliable Data Platform on Google Cloud Platform. Reporting to the Data Platform Lead, you will design and operate the infrastructure powering analytics, reporting, and machine learning.Your role covers the full data lifecycle: building the company's data lake, designing ingestion architectures for quantum computing experiments, and enabling teams across the organization with reliable, well-governed data pipelines. You will also drive data quality, documentation, and platform best practices, Data Platform & Lakehouse

 * Design and operate a scalable GCP data lake (storage, partitioning, lifecycle, governance).
 * Build ELT pipelines from APIs, event streams, internal systems, and scientific instruments.
 * Develop lakehouse architectures using GCP services such as BigQuery, Composer/Airflow, Dataflow, Dataproc, Pub/Sub, and GCS.
 * Work with open table formats such as Apache Iceberg, Delta Lake, or Hudi.

Quantum Experiment Data Ingestion

 * Co-design ingestion pipelines for quantum computing experiment data alongside physicists and hardware engineers.
 * Handle high-throughput scientific data, heterogeneous formats, metadata management, and traceability.
 * Define scalable metadata standards and schemas.

Cross-Team Enablement

 * Support engineering teams in designing reliable and maintainable data pipelines.
 * Create reusable patterns, standards, and best practices.
 * Mentor engineers on orchestration, data modeling, and testing.

Data Quality & Governance

 * Implement validation, monitoring, data contracts, and governance standards.
 * Own the data catalog and lineage documentation.
 * Partner with analysts, ML engineers, and stakeholders to deliver trusted datasets and optimize BigQuery performance/costs.


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