GCP Data Engineer

Gazelle Global; City Of London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Gazelle Global is seeking a GCP Data Engineer for a 12-month contract in London. The role focuses on designing and delivering scalable cloud-based data platforms to support analytics and AI/ML capabilities.

You will join a team delivering reliable data solutions across batch and real-time environments, with a mix of hands-on engineering, technical design and performance optimisation, and a collaborative, cross-functional setting.

Qualifications

• Hands-on GCP experience with data pipelines and platforms.
• Experience designing scalable data solutions on cloud architectures.
• Strong SQL and Python development in data engineering contexts.

Responsibilities

• Design and deliver scalable cloud-based data platforms in GCP.
• Build reliable data solutions for batch and real-time processing.
• Support analytics and AI/ML initiatives with robust data engineering.
• Collaborate with technical and business teams to ensure secure, high-quality data assets.
• Optimise performance and costs across data pipelines and platforms.

Skills

GCP Data Engineer

Batch & streaming

Python

SQL

Data governance

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Apache Airflow

Terraform

Git

CI/CD

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:

• BigQuery, including partitioning, clustering and performance tuning
• Dataflow, Dataproc and Pub/Sub
• Cloud Composer / Apache Airflow
• Python and PySpark
• SQL
• 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.