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Oxford Quantum Circuits (OQC)
Oxford Quantum Circuits (OQC)
51 – 200 Employees
Artificial IntelligenceEnterpriseQuantum Computing
Oxford Quantum Circuits (OQC) develops enterprise-focused quantum computing technology for organizations exploring practical applications of quantum systems. Founded in 2017, the company combines expertise in quantum computing, artificial intelligence, and enterprise technology to deliver solutions intended to be accessible, secure, and reliable. Its work centers on helping businesses build quantum capabilities and investigate complex problems that may benefit from quantum computing.
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Data Engineer (Hybrid, London) at Oxford Quantum Circuits

Build secure, governed data pipelines and machine learning datasets for Oxford Quantum Circuits’ commercial quantum computing products. Support cloud, on-premises and customer-facing data workloads.

GBUnited Kingdom
£260,000,000 / year
HybridFull-timeMiddleSeniorEnglish RequiredData Engineer
CloudSparkSQL

Description

  • Design, build and operate secure ingestion and transformation pipelines for internal, external and customer data.
  • Develop workflows across cloud, private cloud, on-premises and data-centre environments.
  • Create governed datasets for machine learning and quantum workloads, including contracts, versioning, quality controls, access rights, lineage and retention.
  • Produce reliable training, validation, calibration and untouched test datasets for robust machine learning evaluation.
  • Convert customer data into QPU-permitted features or latent representations and feed outputs into governed synthetic datasets.
  • Monitor and improve pipeline reliability, throughput, latency, storage efficiency and operating costs.
  • Implement automated testing and CI/CD for data pipelines and infrastructure.
  • Work with engineering teams to establish dependable data foundations for customer-facing products.
  • Collaborate with Software, Platform, Security, Machine Learning and Infrastructure teams.

Requirements

  • Hands-on experience with Databricks, Spark, Delta Lake and SQL.
  • Experience building and operating both streaming and batch data pipelines.
  • Strong knowledge of data quality, lineage, access controls and dataset governance.
  • Experience running data systems in cloud, private-cloud or on-premises environments.
  • Understanding of data requirements for machine learning training, synthetic data and untouched evaluation datasets.
  • Strong knowledge of data security, including encryption in transit and at rest, access controls and audit logging.
  • Demonstrated ownership and communication skills, with the ability to work across software, platform, security, machine learning and infrastructure teams.
  • Degree or equivalent practical experience in Computer Science, Software Engineering or a related field.
  • Experience handling sensitive or regulated data, especially banking transactions, market data or customer records.
  • Experience supporting data infrastructure for machine learning workloads.
  • Familiarity with quantum computing or hybrid classical-quantum products.
  • Experience with data platforms spanning cloud and customer-controlled infrastructure.
  • Pragmatic, curious mindset and comfort working in a rapidly evolving technical environment.
  • Relevant professional or postgraduate qualification.

Benefits

  • Work in a culture focused on bold innovation.
  • Gain access to distinctive laboratory infrastructure.
  • Contribute to work aimed at expanding the limits of computation.
  • Join a leading team shaping the next era of computing.

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