Senior Data Engineer
Alice & Bob is developing the first universal, fault-tolerant quantum computer to solve the world’s hardest problems.
The quantum computer we envision building is based on a new kind of superconducting qubit: the Schrödinger cat qubit 🐈⬛. In comparison to other superconducting platforms, cat qubits have the astonishing ability to implement quantum error correction autonomously!
We're a diverse team of 200+ brilliant minds from over 31 countries united by a single goal: to revolutionise computing with a practical fault-tolerant quantum machine. Are you ready to take on unprecedented challenges and contribute to revolutionising technology? Join us, and let's shape the future of quantum computing together!
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:
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.
- 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
- 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 Parental 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
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