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Senior Data Engineer

menzies · Woking Office

New
Senior 🇬🇧 English
SQL Python BigQuery Google Cloud Platform Cloud Storage Pub/Sub Datastream Cloud Composer Airflow Terraform dbt Git GitHub CI/CD data modelling dimensional modelling data pipelines APIs GDPR data security

Job description

About the role

Menzies is looking for a Senior Data Engineer to lead the design, build and operation of its Google Cloud Platform data warehouse. The role will create a trusted, secure and accessible data foundation that powers reporting, automation and AI across the firm.

Key responsibilities

  • Lead the design and delivery of scalable, resilient data pipelines into BigQuery, integrating data from APIs, databases, files, webhooks and event streams.
  • Shape the engineering approach across GCP using BigQuery, Cloud Storage, Pub/Sub, Datastream, Cloud Composer/Airflow, Terraform and infrastructure‑as‑code.
  • Set and champion high standards for data modelling, dbt transformations, testing, monitoring, documentation, deployment, version control and cost optimisation.
  • Partner with business teams to turn requirements into reusable data products, pulling data from sources such as Companies House, HMRC, Exchange Online, Active Directory and iManage.
  • Embed security, governance and data quality by design, ensuring GDPR compliance, least‑privilege access and proper handling of sensitive information.
  • Provide technical leadership, mentor engineers and analysts, and help shape the Innovation Team roadmap.

Required profile

  • 5+ years of hands‑on experience in data engineering or analytics engineering, preferably at a senior or leadership level.
  • Strong communication and stakeholder management skills, able to translate complex technical concepts for non‑technical audiences.
  • Collaborative leadership style with a focus on coaching, knowledge sharing and raising engineering standards.

Required skills

  • Advanced SQL and Python.
  • Google Cloud Platform (BigQuery, Cloud Storage, Pub/Sub, Datastream, Cloud Composer/Airflow).
  • Data engineering tools: dbt, Terraform, Git/GitHub, CI/CD pipelines.
  • Data modelling, dimensional modelling, orchestration, testing, data quality and operational monitoring.
  • Experience building production‑grade pipelines from APIs, databases, flat files and message queues.
  • Strong understanding of data security, governance and GDPR compliance.

What we offer

  • Career development programmes, learning opportunities and coaching.
  • Competitive benefits including private medical cover, pension matching and enhanced parental leave.
  • Agile working with flexibility to balance personal and professional priorities.
  • Volunteer days, wellbeing initiatives and a supportive, inclusive culture.

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Published 9 hours ago

Expires 1 month from now

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menzies

Woking Office