Overview
We’re looking for an experienced Lead Data Engineer to shape, deliver, and optimise data solutions on Google Cloud Platform. This is a hands-on leadership role where you’ll combine deep technical expertise with solution design and team guidance, working closely with both engineering peers and business stakeholders.
You’ll play a key role in building high-performing data platforms, architecting new features, and ensuring that best practices in data engineering are consistently applied.
What You'll Be Doing
- Lead and support a team of engineers, guiding design, architecture, and delivery.
- Own projects end-to-end — from planning to execution — ensuring solutions meet both technical and business goals.
- Build, optimise, and maintain data pipelines and platform features leveraging GCP technologies.
- Write, review, and test high-quality Python code, ensuring scalability and reliability.
- Contribute to solution design, technical patterns, and system architecture for cloud-based data environments.
- Manage deployments in containerised and clustered environments (Docker, Kubernetes).
- Collaborate with operational and business stakeholders, translating requirements into scalable technical solutions.
- Apply strong knowledge of SQL, data modelling, and big-data querying tools (BigQuery, Hive, Spark, Presto, Redshift, etc.).
- Implement orchestration frameworks such as Airflow or Argo Workflows to manage pipelines.
- Maintain source control and CI / CD practices (Bitbucket, GitHub, or similar).
- Apply security best practices across all data engineering workflows.
What You'll Bring
Proven experience leading or mentoring engineering teams, with a track record of delivery in complex projects.Strong hands-on programming ability in Python and comfort reviewing others’ code.Expertise in SQL and database design, including complex queries and DDL.Solid experience with GCP data services (BigQuery, Dataflow, Pub / Sub, Dataform, Cloud Storage).Familiarity with modern architecture patterns, API integrations, and data platforms.Experience deploying and operating solutions in containerised / cloud environments (Docker, Kubernetes).Comfort working in Linux / Unix environments.Exposure to security, compliance, and governance practices in cloud data systems.Background in high-data-volume industries such as financial services, energy, or enterprise environments (highly regarded).Why Join Us
Influence and shape the technical direction of modern, cloud-driven data platforms.Collaborate with enterprise and mid-market clients on high-impact projects.Work in an environment that values technical excellence, growth, and accountability.Lead a team while still keeping your hands on the code.Sydney, Australia
Must hold full Australian working rights
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