GCP Data Engineer

Gazelle Global Consulting Limited

Greater London

Hybrid

GBP 70,000 - 110,000

Full time

3 days ago
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Job summary

Gazelle Global Consulting Limited is seeking a GCP Data Engineer for a 12-month contract in London, focusing on design and delivery of scalable cloud-based data platforms.

You' ll work on modern data solutions across batch and real-time environments, collaborating with technical and business teams to ensure secure, high-quality data delivery and performance optimisation, with a hybrid office pattern requiring 2–3 days in the office.

Qualifications

  • Hands-on GCP experience delivering scalable data platforms.
  • Batch and real-time data processing expertise.
  • Strong collaboration with technical and business teams to deliver secure data solutions.
  • Hybrid London role with 2–3 days in the office.

Responsibilities

  • Design and deliver scalable cloud-based data platforms.
  • Build data pipelines using GCP data services.
  • Optimize performance and ensure data quality, governance and security.

Tools

GCP
BigQuery
Dataflow
Dataproc
Pub/Sub
Cloud Composer
Apache Airflow
Python
PySpark
SQL
Cloud Storage
Terraform
Git
CI/CD
Data quality
Governance & security

Job description

We're looking for a GCP Data Engineer to join an exciting 12-month contract in London, working on the design and delivery of scalable cloud-based data platforms. This is a strong opportunity for someone with hands-on GCP experience who enjoys building reliable data solutions across both batch and real-time environments.

You’ll be involved in data engineering initiatives supporting modern analytics and AI/ML capabilities, working closely with technical and business teams to deliver secure, high-quality data solutions. The role offers a good mix of hands-on engineering, technical design and performance optimisation.

Key Skills:
  • Strong Google Cloud Platform experience
  • BigQuery, including partitioning, clustering and performance tuning
  • Dataflow, Dataproc and Pub/Sub
  • Cloud Composer / Apache Airflow
  • Python and PySpark
  • SQL
  • Cloud Storage
  • Terraform
  • Git and CI/CD
  • Data quality, governance and security

The role is based in London with hybrid working, requiring 2-3 days per week in the office.

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