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Data Engineer; GCP

Job in New York, New York County, New York, 10261, USA
Listing for: Morgan McKinley
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Engineer, Big Data, Cloud Computing
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Data Engineer (GCP)
Location: New York

We’re supporting a consultancy client delivering a large data platform programme
, focused on building and maturing a modern, cloud-native data platform on Google Cloud Platform (GCP). The programme is moving beyond PoCs into large-scale, production-grade delivery and requires strong hands‑on Data Engineers to help stabilise, scale, and ope rationalise core data pipelines and platform services.

This role suits engineers who enjoy working on complex data platforms, care about engineering quality, and have experience delivering data products in regulated, enterprise environments.

Key Responsibilities
  • Design, build, and operate robust data pipelines on GCP using Spark and Airflow
  • Develop and optimise data processing workloads in Big Query and associated GCP services
  • Contribute to the design and evolution of a lakehouse‑style architecture (including open table formats such as Iceberg
    )
  • Work closely with platform and architecture teams to ensure data pipelines are:
    • Scalable
    • Secure and well-governed
    • Infrastructure as Code (e.g. Terraform)
    • Observability, monitoring, and reliability of data workflows
  • Support data consumers (analysts, data scientists, downstream teams) by producing high‑quality, well‑documented data products
  • Contribute to technical decision‑making and best practices, avoiding unnecessary lock‑in to cloud‑specific proprietary tooling where possible
Required Experience
  • Strong hands‑on experience as a Data Engineer in modern cloud environments
  • Proven delivery experience on GCP
    , ideally including:
    • Big Query
  • Solid experience building pipelines with:
    • Experience working with large‑scale data platforms (TBs+ data volumes)
  • Comfortable operating in enterprise or regulated environments
Desirable / Nice to Have
  • Experience with open table formats (Iceberg, Delta Lake, Hudi)
  • Exposure to data platform engineering (not just analytics pipelines)
  • Experience with Infrastructure as Code (Terraform or similar)
  • Understanding of data governance, security, and data quality frameworks
  • Experience working in multi‑team, multi‑supplier delivery environments
  • Prior exposure to multi‑cloud or cloud‑agnostic design patterns
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