2 of 2 Permanent Performance Tuning Jobs in West London

Design scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability Develop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformations Model and transform … data for analytics using SQL and dbt to support business intelligence and reporting workloads Write production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented design Implement infrastructure-as-code (e.g., Terraform) to provision and manage cloud-based data platform components Containerize ...

analytics solutions while working closely with client stakeholders to define architecture and drive successful delivery. Key Responsibilities Design and implement scalable, secure, and high-performance data architectures on GCP, with BigQuery as the core data warehouse. Define end-to-end data architecture, including ingestion, transformation, storage, governance, and reporting. … Lead migration of Legacy data warehouses and ETL workloads to GCP and BigQuery. Design optimized BigQuery schemas, partitioning, clustering, and performance tuning strategies. Develop data pipelines using Cloud Dataflow, Dataproc, Cloud Composer, Cloud Functions, Pub/Sub, and Cloud Storage. Work with client business and technical teams ...