About the Role:
As a Senior Data Engineer, you will help build and scale our GCP Data Platform, reporting directly to the Data Platform Lead. You will own the full data lifecycle—from building our data lake and architecting ingestion pipelines for quantum computing experiments, to powering company-wide analytics and ML. In this role, you will drive platform infrastructure, data governance, quality, and engineering 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.
Data Platform & Lakehouse
Quantum Experiment Data Ingestion
Cross-Team Enablement
Data Quality & Governance
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:
Skills Required
- 5+ years of experience in Data Engineering and production-scale data platforms
- Strong expertise in SQL, Python, and GCP data services
- Experience with distributed processing tools and modern lakehouse technologies
- Solid understanding of data modeling, orchestration, CI/CD, and data governance
- Experience with scientific, hardware, or experimental data pipelines
What We Do
Founded in 2020, Alice & Bob secured $30 M funding in Series A. Today, we're recognized as one of the leaders in Quantum Computing. Our cat qubits are error corrected by design, reducing hardware requirements by up to 200 times compared to other platforms enabling fault-tolerant quantum computing at scale. Our headquarters is located in Paris, with offices in Boston, MA. We are 80+ smart and dedicated innovators, coming from 17+ countries and growing by the day. We are committed to one mission: build a useful quantum computer. Check open positions: bit.ly/joinusatAB








