GCP Data Engineer

Description – 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