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Senior Data Engineer

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Senior Data Engineer in UK new

  • Quantum
  • Full time
  • Email
  • London

Responsibilities

  • Build, test, and maintain batch and streaming pipelines into QiCore.
  • Migrate Rewards data into the warehouse and single customer view while maintaining reporting continuity.
  • Model data for analytics and reporting according to team architecture and governance principles.
  • Monitor pipeline health and data quality, resolving issues at their root cause.
  • Support future acquisitions and platform migrations by creating faster, repeatable processes.
  • Participate in orchestration, version control, code review, and peer review.

Requirements

  • Several years of hands-on data engineering experience.
  • Production experience writing SQL and Python.
  • Experience building ETL or ELT pipelines on a modern cloud warehouse or big data platform.
  • Proven experience with GCP and the Google ecosystem, including BigQuery, Pub/Sub, Dataproc, or Cloud Storage.
  • Working knowledge of data governance, testing, and data-quality practices.
  • Comfort with orchestration, version control, and collaborative review processes.
  • Excellent written and verbal English skills.

Benefits

  • Private health care through Vitality.
  • Hybrid working with three days in the office.
  • Travel insurance.
  • Competitive base salary and company bonus scheme.
  • Paid AI subscription for Claude, ChatGPT, or Gemini.
  • Market-leading training programme.
  • Recognition and reward scheme.
  • Annual company conference, regular happy hours, team lunches, and free coffee, drinks, and snacks.

Salary: Competitive

Quantum

Quantum builds data storage and data management systems for enterprises handling large unstructured data, combining high-performance file, object, disk, and tape. Its portfolio includes StorNext file system and appliances, ActiveScale object storage, and Scalar tape libraries, sold as hardware, s...

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