Senior Data Platform Engineer (GCP)
Role Overview
The organisation is investing in data and analytics capabilities and expanding its technology team.
Design, develop and evolve the enterprise data platform and deliver trusted, accessible data for business decision-making.
The role requires hands-on Google Cloud Platform experience and ownership of enterprise-scale data platforms.
Key Skills for This Role
Full Job Posting
Work arrangement
- Hybrid working arrangement with a Richmond location.
- Multiple positions are available with an immediate start.
- Initial 12-month contract.
Company and role
The organisation is investing in data and analytics capabilities and expanding its technology team.
Design, develop and evolve the enterprise data platform and deliver trusted, accessible data for business decision-making.
The role requires hands-on Google Cloud Platform experience and ownership of enterprise-scale data platforms.
Offer
- Competitive salary package and a stable, secure long-term career opportunity.
- Opportunity to influence data platform strategy and architecture.
- Exposure to modern cloud technologies and engineering practices.
- Supportive team environment, professional development, employee discounts and benefits.
Key responsibilities
- Own and evolve the enterprise data platform and engineering standards.
- Design, build and maintain scalable batch and streaming data pipelines.
- Develop analytics datasets, data products and data models for reporting and business intelligence.
- Design and support cloud-native data solutions within Google Cloud Platform.
- Build and maintain ELT and ETL processes using modern tools and frameworks.
- Implement data quality, testing, monitoring and observability frameworks.
- Contribute to CI/CD, Infrastructure as Code, governance, lineage and compliance initiatives.
- Optimise platform performance, reliability, security and cost management.
- Collaborate with business and technical teams and mentor team members.
Key criteria
- At least 7 years of commercial experience in senior or lead data engineering or data platform roles.
- Bachelor's degree in a relevant discipline.
- Enterprise-scale Google Cloud Platform and BigQuery experience.
- Strong SQL, advanced Python, ELT pipeline, analytics dataset and data modelling experience.
- Experience with engineering standards, code reviews, testing, CI/CD, governance and Terraform.
- Highly desirable experience includes relevant industry background, platform modernisation, Looker, other cloud platforms, certifications or Power BI.
Technology stack
- Google Cloud Platform, BigQuery, Cloud Storage, Dataform or dbt, Cloud Composer, Dataflow, Pub/Sub and Cloud Run.
- Looker, LookML, Python, SQL, Git, Terraform and CI/CD tooling.
Recruitment process
- A criminal background check and written technical assessment are part of the recruitment process.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at Johns Lyng Group
QA Engineer
Melbourne, AUS
Johns Lyng Group is seeking a QA Engineer to conduct manual and automated testing of software products and support release quality. The role includes test planning, test data preparation, automation, regression execution
AI Engineer - Applied
Melbourne, AUS
Johns Lyng Group seeks an Applied AI Engineer to build and support production AI solutions and agent workflows for operational use. The role requires proven experience shipping LLM systems, strong Python and TypeScript,