Data Engineer

Data Engineer - GCP, BigQuery, Airflow Location: London (Hybrid) Contract: 12 Months Rate: £350 per day PAYE (Inside IR35) Start Date: ASAP

A leading technology and data-driven organisation is seeking an experienced Data Engineer to join its data engineering team on an initial 12-month contract.

The successful candidate will be responsible for building and maintaining scalable data pipelines within Google Cloud Platform (GCP), ensuring high levels of data quality, reliability, and observability across critical business data platforms. Key Responsibilities

Build, maintain, and optimise scalable data pipelines within GCP

Develop and manage workflows using Cloud Composer and Apache Airflow

Design and support data solutions using BigQuery

Implement data quality checks and monitoring frameworks

Improve observability and operational performance of data platforms

Troubleshoot and resolve pipeline failures and performance issues

Work closely with engineering, analytics, and product teams

Follow best practices around testing, deployment, and documentation

Required Skills & Experience

Strong commercial experience with Python

Proven hands-on experience with Google Cloud Platform (GCP)

Experience with Apache Airflow and Cloud Composer

Strong knowledge of BigQuery

Experience building and supporting production data pipelines

Understanding of data quality, monitoring, and observability principles

Strong analytical and problem-solving skills

Excellent communication and stakeholder management abilities

Desirable Skills

3+ years' Data Engineering experience

Experience working in Agile delivery environments

Exposure to CI/CD and cloud-native development practices

Experience supporting enterprise-scale data platforms

What's on Offer?

12-month contract opportunity

£300 per day PAYE (Inside IR35)

Modern cloud technology stack

Opportunity to work on large-scale data engineering initiatives

Collaborative and fast-paced engineering environment