Senior Data Engineer

À propos du poste

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 250+ brilliant minds from over 35 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.

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. 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 Screening call with Doriane (30 min)

Hiring Manager Interview (60 min)

Technical Interview with the Team (90 min)

Leadership Interview (30 min)

Fit Interview (30 min)

Reference check