Senior Data Engineer – Google Cloud Platform; GCP

Role Overview

We are seeking a highly skilled Senior Data Engineer – Google Cloud Platform (GCP) to design, build, and optimise scalable, secure, and high-performance data pipelines and analytics platforms on Google Cloud. This is a hands‑on engineering role requiring strong expertise in cloud‑native data engineering, distributed processing, analytics platforms, and modern CI/CD practices.

You will partner closely with product teams, analysts, platform engineers, and architects to translate business requirements into reliable, production‑grade data solutions—while driving best practices in automation, data quality, observability, performance tuning, and cost optimisation.

Are you a hands‑on Data Engineer who loves building scalable, secure high-performance data platforms on Google Cloud? We’re looking for a Senior Data Engineer to design and optimise batch + streaming pipelines, enable analytics, and drive best practices across data engineering and CI/CD.

• Build/operate pipelines using Dataflow (Apache Beam), Dataproc (Spark), Pub/Sub
• Model and optimise Big Query (partitioning, clustering, cost & performance)
• Deliver ELT with dbt (models, incremental loads, testing, documentation/lineage)
• Implement CI/CD for data workloads + Terraform IaC
• Improve data quality, monitoring, alerting, reliability and operational runbooks

• GCP:
  Big Query, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Cloud Composer (Airflow)
• Strong SQL + Python (Spark/Java a plus)
• CI/CD (Jenkins/Git Hub Actions/Git Lab CI) + Terraform