Senior Data Engineer
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Senior Data Engineer at alice-bob: Paris, Франція; На місці; Старший спеціаліст; IT; Інженер даних. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Paris, Франція, На місці
- Role classification: IT, Інженер даних, Старший спеціаліст
- Source freshness: checked by JobGrid on 2026-05-30.
- Application path: candidates continue to the employer application page with non-personal referral tags.
About the Role:
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
Main Responsibilities:
- 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.
- 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.
- 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.
- 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.
Profile:
- 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
Benefits:
- - Our success is your success: own it with our
- BSPCE
- plan
- - Direct IP Compensation:
- Earn substantial bonuses for driving the core patents that define our quantum architecture.
- - Flexible
- remote
- policy, up to 40 % a month
- - A P
- arental plan
- including additional benefits such as crèche support or additional days-off to take care of under 12 years old children
- - Subsidized membership with
- Urban Sports Club
- - Mental health
- support with
- moka.care
- - 25-day vacation policy (as per French law) + RTT
- - Half of transportation cost coverage (as per French law), or yearly allowance for the die-hard bicycle users
- - Competitive health coverage, with Alan.
- - Meal vouchers with Swile, as well as access to a fully equipped and regularly stocked kitchen
- - French language courses covered by the company for those interested