Senior Data Engineer, MrQ

• Must Have skills: DBT, Apache Airflow, Google Cloud Platform (GCP), BigQuery, CI/CD, Python, SQL

Desirable

• Platform Engineering
• Design and build production-grade DBT models (dimensions, facts, marts) in BigQuery following agreed naming conventions and modelling standards
• Migrate DBT orchestration to Apache Airflow on Google Cloud Composer using the Cosmos library
• Implement and maintain ELT ingestion pipelines with monitoring, alerting and SLA tracking
• Enforce CI/CD practices: automated DBT testing on pull requests, environment promotion (dev → staging → prod) and SQL linting
• Standards & Governance
• Define and enforce naming conventions, modelling patterns and contribution standards across all data models
• Document all DBT models with field-level descriptions to populate the data catalog
• Collaboration & Leadership
• Work closely with the Data Architect to execute platform design decisions
• Translate stakeholder requirements from Data Analysts into well-scoped model changes
• Key tasks
• Deliver the full canonical semantic model covering all data stakeholders
• Document all models in the data catalog and support the metrics data dictionary sign-off
• Rebuild and standardise ingestion pipelines with consistent staging → intermediate → mart patterns
• Maintain and evolve the semantic model as the business needs change
• Monitor pipeline health, respond to alerting and maintain on-call runbooks
• Support infrastructure-as-code adoption as the DataOps function comes online