Principal Data Engineer

Company: Reed Technology
Apply for the Principal Data Engineer
Location: London
Job Description:

Salary: £82,000 – 95,000 per year

Requirements

  • 10+ years of experience in Data Engineering.
  • Experience in a Lead or Principal Data Engineering role.
  • Strong cloud data platform expertise, including Google Cloud Platform (GCP).
  • Hands‑on experience with BigQuery, Dataflow, Datastream, Data Fusion, Cloud Functions, Dataproc, and Airflow/Composer.
  • Advanced SQL and Python skills.
  • Expertise in data lakes, data warehouses, and modern data architectures.
  • Strong understanding of data governance, lineage, MDM, data privacy, and PII handling.
  • Experience optimising complex queries and large‑scale data processing.
  • Proven mentoring, coaching, and leadership capability.
  • Experience working within Agile/Scrum environments and across the full software development lifecycle.
  • Full right to work in the UK is required; sponsorship is not available.

Responsibilities

  • Provide technical leadership across data engineering teams and product domains.
  • Define and implement data platform architecture, standards, and best practices.
  • Design and optimise data ingestion, transformation, quality, security, monitoring, and governance processes.
  • Lead the development of Data Mesh principles, data models, and semantic data layers.
  • Drive automation, CI/CD adoption, and continuous improvement initiatives.
  • Mentor and coach data engineers, promoting engineering excellence.
  • Ensure cross‑domain interoperability, scalability, and compliance.
  • Collaborate with architects, platform engineers, and business stakeholders to deliver robust data solutions.

Technologies

  • Airflow
  • BigQuery
  • CI/CD
  • Cloud
  • Composer
  • GCP
  • Python
  • SQL
  • Security

More

We are seeking a senior technical leader to help shape our data engineering strategy, architecture, and best practices across multiple product domains. You will work within a modern cloud environment and Data Mesh architecture to build scalable, secure, high‑performing data solutions, while mentoring engineers and influencing technical direction. This is an excellent opportunity to play a key role in the evolution of our modern cloud data platform and help shape the future of our data‑driven organisation.

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Posted: July 7th, 2026