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Morrisons is seeking a Mid-Level DevOps Data Engineer to manage our modern GCP data environment and advance our Data as a Product approach. The role splits 50/50 between infrastructure automation and data pipeline development, with BigQuery ingestions and Terraform provisioning at the core.
You will collaborate with data analysts to optimise Looker data models and performance, and drive CI/CD workflows with Jenkins while ensuring security across platforms.
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 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.
Role OverviewDo you want to help us advance our Data Strategy at Morrisons? We are seeking a Mid-Level DevOps Data Engineer to manage our modern Google Cloud Platform (GCP) data environment, and support us in progressing our DevOps practices that will enshrine our Data 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.
Model: HybridOn-site Expectancy: 3 days per week at our head office.
Starting as a Bradford market stall, we are proud to be the Yorkshire retailer now serving over 11 million customers nationwide each week. We're unique: both foodmakers and shopkeepers, processing our own fresh produce and preparing more food in-store than any other supermarket.
We offer real opportunities to build your career across our stores, sites, and support teams. We're a down-to-earth team that values hard work, reliability, and great customer service. If you're friendly, dependable, and ready to get stuck in, there's always More to Morrisons for you.
Morrisons is a place where you can be yourself, feel valued, and have a true sense of belonging. We are proud to be an equal opportunities employer and welcome applications from people from all walks of life, as we strive to build a workforce that truly represents the communities we serve.
We are also a Disability Confident Employer, which means we're committed to providing an inclusive and accessible recruitment process. If you require any reasonable adjustments, please let us know when you submit your application and support will be provided wherever it's required.