GCP Data Engineer (Contract)

Harnham; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Harnham is seeking a Senior Data Engineer to join its Data Platform team in London, focusing on RBAC, data security and governance within GCP. You will design secure, scalable data solutions and set technical standards across the data platform.

Responsibilities include implementing RBAC and data security on GCP, improving access controls for BigQuery, supporting IAM enhancements, and building pipelines with Python, Airflow and dbt while integrating Fivetran, Tableau and Alation.

Job description

A leading organisation is looking for a Senior Data Engineer to join its Data Platform team, working across a major programme focused on role-based access control (RBAC), data security and governance within GCP.

You'll work closely with architects, engineers, product and governance teams to design and implement secure, scalable data solutions, while helping shape technical standards across the wider data platform.

THE ROLE

As a Senior Data Engineer, you will be responsible for:

Designing and implementing RBAC and data security solutions across GCP

Developing and improving access controls across BigQuery and cloud data environments

Supporting IAM/IDAM enhancements, service-account access and access reporting

Designing and implementing data classification and governance-by-design

Maintaining and improving a GCP/BigQuery lakehouse environment

Building and supporting pipelines using Python, Airflow/Cloud Composer and dbt

Identifying security vulnerabilities and supporting remediation

Implementing robust CI/CD, testing and Terraform-based infrastructure

Working across integrations including Fivetran, Tableau and Alation

The key deliverables include access enhancement, data-classification architecture, BigQuery/Tableau integration and vulnerability remediation.

YOUR SKILLS AND EXPERIENCE

The successful Senior Data Engineer will have:

Strong commercial experience with GCP and BigQuery

Deep knowledge of RBAC / IAM within cloud data environments

Strong understanding of data security, governance and access controls

Hands-on experience with Python, Airflow and dbt

Experience with Terraform and CI/CD

Knowledge of Kubernetes

Exposure to AWS alongside GCP

Strong stakeholder management and the ability to work with architects, analytics engineers and software engineers

The underlying platform also uses BigQuery, Kubernetes, Python, Airflow, dbt, CI/CD and Terraform.