Senior GCP Data Engineer

JR United Kingdom; London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading company in the UK is looking for a GCP Data Engineer to join their dynamic team. The role involves architecting and optimizing cloud-based data infrastructure, developing ETL processes, and ensuring data quality and compliance. Ideal candidates will have extensive experience with Google Cloud Platform and strong communication skills. This is a hybrid position based in London, requiring immediate availability.

Qualifications

• 5+ years of experience in data engineering, with at least 1-2 years hands-on experience with GCP.
• Rights to work in the UK is a must (No Sponsorship available).

Responsibilities

• Design, build, and maintain scalable and reliable data pipelines on GCP.
• Develop ETL processes using Cloud Dataflow, Apache Beam, and BigQuery.
• Automate infrastructure deployment using Infrastructure as Code tools.

Skills

Data Engineering

Google Cloud Platform

SQL

Python

Apache Beam

DevOps

CI/CD

Terraform

Communication

Tools

BigQuery

Cloud Storage

Pub/Sub

Dataflow

Cloud Build

Job description

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Position: GCP Data Engineer

Employment Type: Contract, Full time

Start: ASAP

Location: London – Hybrid

Languages: English

Role

We are seeking a GCP Data Engineer to join our client’s dynamic team and help us architect and optimize our cloud-based data infrastructure.

Key Skills

• 5+ years of experience in data engineering, with at least 1–2 years hands-on experience with Google Cloud Platform.
• Strong experience with BigQuery, Cloud Storage, Pub/Sub, and Dataflow.
• Proficient in SQL, Python, and Apache Beam.
• Familiarity with DevOps and CI/CD pipelines in cloud environments.
• Experience with Terraform, Cloud Build, or similar tools for infrastructure automation.
• Understanding of data warehousing concepts and architecture.
• Consulting background is a plus.
• Strong communication skills (oral & written).
• Rights to work in the UK is a must (No Sponsorship available).

Responsibilities

• Design, build, and maintain scalable and reliable data pipelines on Google Cloud Platform (GCP).
• Develop ETL processes using tools like Cloud Dataflow, Apache Beam, BigQuery, and Cloud Composer.
• Collaborate with data analysts, scientists, and business stakeholders to understand data requirements.
• Optimize performance and cost-efficiency of GCP data services.
• Implement data quality, monitoring, and governance practices.
• Ensure security and compliance best practices in data handling.
• Automate infrastructure deployment using Infrastructure as Code tools such as Terraform.

Should you be interested in being considered for this position and would like to discuss further, please apply with your latest CV or share your CV directly with me at [emailprotected].