DevOps Data Engineer — GCP, BigQuery & Pipelines

Morrisons; Bradford; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Discounts in store 15%

Annual bonus scheme

Generous holiday entitlement

Pension and life assurance

Healthcare benefits

Job summary

Morrisons is seeking a Mid-Level DevOps Data Engineer to manage a GCP data environment and drive Data as a Product practices as code. You will split time between infrastructure automation and data pipeline development, ingesting data into BigQuery and provisioning with Terraform.

Role requires 3–5 years in a combined DevOps and Data Engineering capacity, strong GCP experience, and SQL/Python skills. Looker BI familiarity is desirable, with on-site 3 days per week at head office in a hybrid setup.

Qualifications

• 3–5 years of professional experience in a combined DevOps and Data Engineering role.
• Proven experience managing production environments in Google Cloud Platform (GCP).
• Languages: SQL (BigQuery dialect) and Python; some Java is a plus.
• BI tooling: Looker development or supporting Looker data models is desirable.

Responsibilities

• Provision GCP infrastructure using Terraform to manage datasets, storage, IAM roles and compute resources.
• Maintain platform security and optimise costs in GCP.
• Build ingestion pipelines and automated ETL/ELT processes to load data into BigQuery.
• Automate CI/CD and monitor pipeline health using Jenkins and Cloud Monitoring.

Skills

DevOps

SQL (BigQuery dialect)

Python

Communication

Documentation

Tools

Terraform

Jenkins

Looker

BigQuery

Cloud Composer

Cloud Run Functions

Cloud Storage

IAM

Job description

Morrisons is seeking a Mid-Level DevOps Data Engineer to manage a GCP data environment and drive Data as a Product practices as code. You will split time between infrastructure automation and data pipeline development, ingesting data into BigQuery and provisioning with Terraform.

Role requires 3–5 years in a combined DevOps and Data Engineering capacity, strong GCP experience, and SQL/Python skills. Looker BI familiarity is desirable, with on-site 3 days per week at head office in a hybrid setup.