Data Engineer (GCP) job vacancy in Cape Town. PBT Group is looking for a GCP Data Engineer to join a high-performing data engineering capability focused on delivering scalable, modern cloud-based data solutions. This opportunity is ideal for a hands‑on Data Engineer with strong Google Cloud Platform (GCP) experience who enjoys building and optimising data pipelines, integrating complex data sources, and enabling data-driven decision-making through robust engineering practices. The successful candidate will work alongside Data Engineers, Architects, Analysts, and business stakeholders within Agile delivery environments to deliver high-quality enterprise data solutions. Key Responsibilities: Data Engineering & Pipeline Development Design, develop, and maintain scalable ETL/ELT data pipelines on Google Cloud Platform. Build and optimise data ingestion, transformation, and orchestration processes. Develop solutions using GCP technologies such as: BigQuery Dataflow Pub/Sub Cloud Storage Cloud Composer Integrate structured and unstructured data from multiple source systems. Data Modelling & Transformation Support the development of modern cloud data platforms and data warehouses. Implement data transformation logic and business rules. Ensure data quality, consistency, reliability, and governance standards are maintained. Optimise query performance and large-scale data processing workloads. Collaboration & Delivery Work closely with Data Analysts, BI teams, and business stakeholders to understand requirements and deliver fit-for-purpose solutions. Participate in Agile ceremonies and contribute toward sprint delivery commitments. Assist with troubleshooting, debugging, and resolving data-related issues. Contribute to continuous improvement initiatives and engineering best practices. Automation & DevOps Support CI/CD practices and deployment automation. Assist with monitoring, logging, and performance optimisation of data pipelines. Contribute toward reusable frameworks, templates, and engineering standards. Required Skills & Experience: Essential: 3–5 years’ experience in Data Engineering or related roles. Hands‑on experience with Google Cloud Platform (GCP). Strong experience with: BigQuery SQL Python Experience building ETL/ELT pipelines. Understanding of modern data warehousing concepts and architectures. Experience working with large datasets and data transformation processes. Strong analytical and problem‑solving capability. Experience working in Agile delivery environments. Advantageous: Exposure to Dataflow, Pub/Sub, Cloud Composer, or Dataproc. Experience with dbt or similar transformation frameworks. CI/CD and DevOps exposure. Financial services or enterprise consulting experience. Exposure to data governance and data quality practices. Ideal Candidate Profile: We are looking for someone who: Is technically strong and delivery-focused. Enjoys solving complex data problems. Can work independently while collaborating effectively within teams. Has a passion for cloud technologies and modern data engineering practices. Is eager to continue growing within enterprise‑scale cloud data environments. #J-18808-Ljbffr