Gcp Data Engineer

Gazelle Global Consulting Limited; Greater London; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

Gazelle Global Consulting Limited is seeking a GCP Data Engineer for a 12-month contract in London, delivering scalable cloud-based data platforms and hands-on data engineering across batch and real-time workloads.

You will collaborate with analytics, AI/ML initiatives and business teams to deliver secure, high-quality data solutions while optimizing performance and reliability, with a strong emphasis on data governance.

Hybrid work arrangement in London, requiring 2-3 days in the office.

Qualifications

• Hands-on GCP data engineering experience.
• Experience with BigQuery, Dataflow, Airflow.
• Strong SQL and Python skills.
• Experience building scalable data platforms for batch and streaming.
• Data governance and security best practices.

Responsibilities

• Design and deliver scalable cloud-based data platforms.
• Develop data pipelines for batch and real-time processing.
• Collaborate with analytics and AI/ML teams to enable secure data solutions.
• Optimize performance and reliability of data systems.

Skills

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Composer

Python

PySpark

SQL

Terraform

Git & CI/CD

Data quality

Governance

Security

Tools

Terraform

Git

CI/CD

Cloud Composer

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 will 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.

GCP Data Engineer England, London, City of London