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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & Analytics Specialist - DevOps Engineer - **Company:** Morrisons - **Location:** Bradford, UK - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Airflow, BigQuery, Cloud Storage, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Security, DevOps, Identity and Access Management, Python (Programming Language), SQL Databases, Data Logging, Google Cloud, Cloud Platform System, Data Ingestion, Cloud Monitoring, Delivery Pipeline, Infrastructure Automation Frameworks, Google Cloud Functions, Data Analytics, Terraform, Looker Analytics, Data Pipelines, Jenkins - **Published:** September 10, 2026 - **Apply:** https://www.collegerecruiter.com/job/2860992848-data--analytics-specialist-devops-engineer ## About the Role * 3-5 years of professional experience in a combined DevOps and Data Engineering role. * Proven experience managing production environments specifically inside Google Cloud Platform (GCP). Technical Stack * Cloud Platform: GCP (BigQuery, Cloud Storage, IAM, Cloud Composer, Cloud Run Functions). * Infrastructure as Code: Strong proficiency with Terraform for GCP infrastructure management. * CI/CD & Coding: Hands-on experience building and maintaining automation pipelines in Jenkins. * Languages: High proficiency in SQL (BigQuery dialect) and Python. Some experience with Java will be a plus. * BI Integration: Basic familiarity with Looker development (LookML) or supporting Looker data models is highly desirable. Soft Skills * Ability to collaborate equally well with data engineers engineers and data analysts. * Ability to collaborate and influence Onshore and Offshore supplier engineering build teams * Excellent communication skills - can translate complex technical solutions into language non technical stakeholders can understand * Clear documentation skills for infrastructure templates and pipeline logic. ## Description as a Product policies as code . This role is evenly split between infrastructure automation and data pipeline development. You will write clean pipeline code to ingest data into BigQuery, while using Terraform to provision and scale our infrastructure. Your work will directly impact the speed, reliability, and security of data delivered to Looker and AI tooling for business intelligence. You will work closely with our Senior Data Ops leader, developing our Data Ops practices and driving adoption with our Data Engineering delivery partner., Infrastructure Automation & IaC (50%) * Provision GCP Infrastructure: Write and maintain Terraform scripts to provision BigQuery datasets, Cloud Storage buckets, IAM roles, and compute resources. * Maintain Platform Security: Implement fine-grained access control, column-level security in BigQuery, and secure service accounts using Terraform. * Optimise Costs & Resources: Monitor GCP resource utilization and implement automation to optimise BigQuery compute (slots) and storage costs. Pipeline Coding & CI/CD (50%) * Build Ingestion Pipelines: Code automated ETL/ELT pipelines to extract, transform, and load diverse data sources into BigQuery. * Automate CI/CD: Design and manage deployment workflows using Jenkins to automate data pipeline testing and infrastructure updates. * Support BI Delivery: Collaborate with Data Analysts to optimise BigQuery schemas and performance, ensuring fast query execution for Looker dashboards. * Monitoring & Alerting: Set up Cloud Monitoring and Logging to track Jenkins job statuses and BigQuery pipeline health. ## Related Videos - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [GitLab CI pipelines for a whole company](https://www.wearedevelopers.com/videos/143-gitlab-ci-pipelines-for-a-whole-company) - [Shifting Stress to Progress— Understanding DevOps to do DevOps Better](https://www.wearedevelopers.com/videos/268-shifting-stress-to-progress-understanding-devops-to-do-devops-better) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Fullstack Developer Salary UK](https://www.wearedevelopers.com/magazine/251-fullstack-developer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)