3 of 3 Remote Cloud Functions Jobs in the South East

and scalable backend systems and APIs. Data Ingestion: Develop and maintain data pipelines to extract data from various sources and load it into Google Cloud environments. Data Transformation: Implement data transformation processes, including data cleansing, normalization, and aggregation, to ensure data quality and consistency. Data Modeling: Develop and … maintain data models and schemas to support efficient data storage and retrieval in Google Cloud platforms. Data Integration: Integrate data from multiple sources, both on-premises and cloud-based, using Cloud Composer or other relevant tools. Data Lakes: Build data lakes using Google Cloud services such as Big Query. Performance Optimization: Optimize data pipelines and queries for improved performance and scalability in Google Cloud environments. Collaboration: Work with product managers to ensure superior product delivery to drive business value & transformation Documentation: Document data engineering processes, data flows, and system configurations More ❯

Role – We are seeking an experienced GCP Data Architect to lead the design and development of cloud-native data architectures on Google Cloud Platform. This role is crucial in transforming our client’s enterprise data landscape to support scalability, security, and innovation. As a Data Architect … Key skills: 7+ years of experience in data engineering or data architecture roles 3+ years of hands-on experience architecting data solutions on Google Cloud Platform Strong knowledge of BigQuery, Dataflow, Cloud Composer, Pub/Sub, and Cloud Functions Proficient in data … with Infrastructure as Code (e.g., Terraform, Deployment Manager) Deep understanding of data governance, security, and compliance frameworks GCP Professional Data Engineer or Professional Cloud Architect certification Experience with hybrid or multi-cloud architectures Familiarity with streaming platforms like Apache Kafka or Google Pub/Sub Background More ❯

for building and maintaining scalable, efficient, and reliable data pipelines. You’ll work across a modern tech stack with a strong focus on Google Cloud Platform (GCP) and collaborate with various teams to ensure data flows securely and accurately throughout the organisation. Key Responsibilities Design, build, and maintain … robust data pipelines. Work with Python and SQL for data processing, transformation, and analysis. Leverage a wide range of GCP services including: Cloud Composer (Apache Airflow) BigQuery Cloud Storage Dataflow Pub/Sub Cloud Functions IAM Design and implement data models and More ❯