Data Engineer ( GCP )

**Key Responsibilities** * Design, build, and optimise batch and streaming data pipelines using approved frameworks and tooling. * Ensure pipelines are resilient, performant, and cost optimised. * Implement monitoring, alerting, and automated recovery processes. * Apply data quality checks and reconciliation processes to ensure accuracy and completeness. * Maintain metadata, lineage, and documentation to support governance requirements. * Adhere to role-based access control, data privacy, and security standards. * Contribute to the development and maintenance of ingestion frameworks, transformation layers, and data models. * Implement and maintain CI/CD pipelines for automated testing and deployment. * Optimise data storage and retrieval strategies to meet performance needs. * Work closely with Technical Leads, Data Architects, Analysts, and business stakeholders to deliver fit-for-purpose solutions. * Participate in code reviews and knowledge-sharing sessions to improve team capability. * Explore and adopt new tools, frameworks, and techniques to enhance engineering capability. * Identify opportunities to automate and streamline workflows. **Key Skills & Experience** * Proficient in SQL for data wrangling, transformation, and analysis * Strong programming skills * Experience building ETL/ELT pipelines in cloud or distributed environments * Familiarity with cloud platforms and services * Knowledge of data modeling concepts * Experience with data orchestration tools * Familiar with version control and CI/CD pipelines * Understanding of data quality, validation, and observability practices * Works independently with minimal supervision on well-scoped tasks * Collaborates effectively with stakeholders * Communicates clearly and documents work for others to maintain or build upon * Open to code reviews, feedback, and continuous learning * Able to troubleshoot and resolve data pipeline failures or performance issues * 2–4 years in a data engineering or closely related role * Has delivered production-ready pipelines end-to-end Demonstrated ability to improve code quality, reliability, or performance