Alice & Bob
Data
SeniorDataEngineer
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“Senior Data Engineer at Alice & Bob. Skills: Data Engineering, GCP data services, Lakehouse technologies. Design and operate scalable GCP data lake. Build ELT pipelines”
What You'll Achieve.
build and scale a reliable Data Platform; design and operate the infrastructure; enable teams with reliable, well-governed data pipelines; drive data quality; drive platform best practices; deliver trusted datasets; optimize BigQuery performance/costs
Industry & Context.
analytical mindset; solve the world’s hardest problems
What They're Looking For.
Must Have
5+ years of experience in Data Engineering, production-scale data platforms expertise, SQL, Python, GCP data services, BigQuery, Airflow, GCS, Pub/Sub, distributed processing tools, modern lakehouse technologies, Spark, Iceberg, Delta Lake, Hudi, data modeling, orchestration, CI/CD, data governance, Fluent English
Nice to Have
scientific, hardware, or experimental data pipelines, deeptech or quantum environments
What You'll Do.
Design and operate scalable GCP data lake
Develop lakehouse architectures
Work with open table formats
Co-design ingestion pipelines
Handle high-throughput scientific data
Define scalable metadata standards
Support engineering teams
Create reusable patterns
Partner with analysts
How You'll Work.
Team & Collaboration
Enable teams across the organization; Work with physicists; Work with hardware engineers; Support engineering teams; Mentor engineers; Partner with analysts; Partner with ML engineers; Partner with stakeholders
Communication Scope
communication skills; analytical mindset; ability to mentor cross-functional teams
Full Job Description
## Description 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 30 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 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 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
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