Apply (by clicking the relevant button) after checking through all the related job information below. GCP Data Engineer Contract Duration: 6 months initially Location: Farringdon, London (Hybrid - 3 days a week onsite) Job Type: Contract, inside IR35 Join Reed Professional Services, a leading Management Consultancy and technology services provider, as a Data Engineer. This role involves supporting our prestigious client, on their Data Strategy programme. You will play a crucial role in designing and building scalable, resilient, and reusable data pipelines on the Google Cloud Platform, shaping the next generation of their data platform. Day-to-day of the role: Design and build scalable, resilient, reusable data pipeline templates across various domains and data products. Standardise ingestion and transformation patterns using configuration-driven pipeline frameworks. Embed data quality checks by default, including schema validation, completeness, freshness, thresholds, and automated alerting. Enhance end-to-end pipeline resilience, monitoring, observability, failure handling, and recovery mechanisms. Integrate AI/ML features to boost reliability, anomaly detection, and operational efficiency. Collaborate closely with Data Product teams, Analytics Engineering, and Data Science to deliver production-grade data solutions. Ensure pipelines are production-ready, well-documented, and ready for business-as-usual handover. Required Skills & Qualifications: Proficient in Python, Scala, and SQL. Extensive experience in data modelling and ELT/ETL processes. Strong hands-on experience with Google Cloud Platform, including BigQuery, Dataflow, Pub/Sub, Composer, and Cloud Run/App Engine. Familiarity with CI/CD & DevOps practices, including automated testing and infrastructure as code. Experience in implementing data quality frameworks, observability tooling, and production monitoring patterns. Proven ability to build reusable data pipeline templates for large-scale, multi-domain platforms. Experience in enterprise data transformation programmes with stringent SLAs and reliability expectations. Preferred Experience: Exposure to AI-enabled pipeline capabilities, such as anomaly detection or intelligent monitoring. Good understanding of MLOps or supporting deployment of ML models into production environments. Experience with CI/CD automation, testing frameworks, and observability tooling. Contracting Route: Timesheets via Umbrella Company This is an exceptional opportunity to contribute to a high-profile project and make a significant impact in a prestigious organisation. xehkeey If you are a skilled Data Engineer with a strong background in Google Cloud Platform and data pipeline development, we would love to hear from you. To apply for this GCP Data Engineer position, please submit your CV and a member of the Reed Professional Services Talent Team will be in touch.