Role: Senior Data Engineer – GCP Data Platform
Objective of the Role
We are looking for a hands-on Senior Data Engineer to design and build scalable data solutions and reusable data-platform capabilities on Google Cloud Platform (GCP).
This role combines Data Engineering and Data Platform Engineering. You will provide technical leadership for complex data-processing capabilities while remaining actively involved in architecture, design and implementation.
You will help define how data products are transformed, orchestrated, governed and operated at scale, with a strong focus on reusability, automation, performance, reliability and engineering standards.
You Will
Own the technical design and architecture of scalable data-processing and transformation solutions on GCP.
Design and build production-grade batch, incremental and streaming data pipelines.
Develop and optimise complex transformations using BigQuery, SQL and Dataform / dbt.
Build reusable, metadata-driven and configuration-driven frameworks that reduce bespoke pipeline development.




Design orchestration patterns using Cloud Composer / Apache Airflow, including agile workflows, dependencies, retries and recovery.
Develop distributed and streaming processing solutions using Dataflow / Apache Beam and Dataproc / Spark.
Define standards for data modelling, schema design, schema evolution and data contracts.
Design and evolve modern analytical storage patterns, including Apache Iceberg.
Establish engineering patterns for data quality, reconciliation, metadata, lineage and observability.
Optimise large-scale workloads for performance, scalability, latency and GCP cost.
Define reusable engineering standards for testing, versioning, CI/CD and production readiness.
Lead technical design and code reviews and guide engineers on complex implementation decisions.
Identify systemic technical debt and drive improvements to shared platform capabilities.
Work closely with Data Engineering, Platform Engineering, DevOps, Arch

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